ADD: new track message, Entity class and Position class

This commit is contained in:
Henry Winkel
2022-12-20 17:20:35 +01:00
parent 469ecfb099
commit 98ebb563a8
2114 changed files with 482360 additions and 24 deletions

2
.gitignore vendored Normal file
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@@ -0,0 +1,2 @@
build/
.cache

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@@ -1,58 +1,72 @@
cmake_minimum_required (VERSION 3.1 FATAL_ERROR) cmake_minimum_required (VERSION 3.1 FATAL_ERROR)
project (SimCore VERSION 0.1.0 LANGUAGES CXX C) project (SimCore VERSION 0.1.0 LANGUAGES CXX C)
set(CMAKE_MODULE_PATH ${PROJECT_SOURCE_DIR}/cmake/Modules) set(CMAKE_MODULE_PATH ${CMAKE_SOURCE_DIR}/cmake/Modules)
include(defaultOptions) include(defaultOptions)
IF(NOT TARGET eigen)
set(EIGEN_BUILD_DOC OFF CACHE INTERNAL "")
add_subdirectory(libs/eigen EXCLUDE_FROM_ALL)
ENDIF()
IF(NOT TARGET GeographicLib)
# configure_file(${PROJECT_SOURCE_DIR}/CTestCustom.cmake ${CMAKE_BINARY_DIR})
add_subdirectory(libs/geographiclib EXCLUDE_FROM_ALL)
ENDIF()
IF(NOT TARGET whisper-com) IF(NOT TARGET whisper-com)
add_subdirectory(libs/whisper-com EXCLUDE_FROM_ALL) add_subdirectory(libs/whisper-com EXCLUDE_FROM_ALL)
ENDIF() ENDIF()
protobuf_generate_cpp(PROTO_PATH include/SimCore/Messages/Protos CPP_PATH include/SimCore/Messages/Protos HPP_PATH include/SimCore/Messages/Protos)
add_library(SimCore STATIC add_library(SimCore STATIC
include/Gateway/Gateway.hpp include/SimCore/Entity.hpp
src/Gateway/Gateway.cpp src/SimCore/Entity.cpp
include/Gateway/PduProcessors/EntityStateProcessor.hpp
src/Gateway/PduProcessors/EntityStateProcessor.cpp
include/SimCore/Messages/Track.hpp
src/SimCore/Messages/Track.cpp
include/SimCore/Messages/Protos/Track.pb.cc
include/SimCore/Position.hpp
src/SimCore/Position.cpp
) )
target_link_libraries(SimCore
target_link_libraries(Gateway
OpenDIS6
whisper-com whisper-com
sfml-network
loguru loguru
libprotobuf
eigen
GeographicLib
) )
# add_dependencies(SimCore protoc)
target_include_directories(Gateway PUBLIC target_include_directories(SimCore PUBLIC
$<BUILD_INTERFACE:${CMAKE_CURRENT_SOURCE_DIR}/include> $<BUILD_INTERFACE:${CMAKE_CURRENT_SOURCE_DIR}/include>
$<INSTALL_INTERFACE:include> $<INSTALL_INTERFACE:include>
src) src)
add_executable(main # add_executable(main
src/main.cpp # src/main.cpp
) # )
target_link_libraries(main # target_link_libraries(main
Gateway # Gateway
CLI11 # CLI11
loguru # loguru
) # )
target_include_directories(main PUBLIC # target_include_directories(main PUBLIC
$<BUILD_INTERFACE:${CMAKE_CURRENT_SOURCE_DIR}/include> # $<BUILD_INTERFACE:${CMAKE_CURRENT_SOURCE_DIR}/include>
$<INSTALL_INTERFACE:include> # $<INSTALL_INTERFACE:include>
src) # src)
# # # #

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cmake/Jenkinsfile vendored Normal file
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@Library('ftewa-jenkins-library@main') _
@NonCPS
def getPipelineJobNames() {
Hudson.instance.getAllItems(org.jenkinsci.plugins.workflow.job.WorkflowJob)*.fullName
}
@NonCPS
def triggerJobs() {
def jobs = getPipelineJobNames();
for (job in jobs)
{
echo "Trigger ${job}"
if (job.contains("Integration"))
{
build job: job,
parameters: [
string(name: 'REPO_NAME', value: "cmake"),
string(name: 'TAG', value: "main")
],
wait: false
}
}
}
pipeline {
agent {
kubernetes {
//workspaceVolume: dynamicPVC(accessModes: 'ReadWriteOnce', requestsSize: '20G', storageClassName: 'csi-rbd-sc')
yaml libraryResource("files/pod-build.yml")
defaultContainer 'clang-build'
}
} // agent
options {
// Only keep the 1 most recent builds
buildDiscarder(logRotator(numToKeepStr: "1"))
}
stages {
stage("Build")
{
steps {
echo "build"
triggerJobs()
}
} // stage("Build")
}
}

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get_directory_property(hasParent PARENT_DIRECTORY)

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option(CPPCHECK "Turns cppcheck processing on if executable is found." OFF)
find_program(CPPCHECK_PATH NAMES cppcheck)
# export compile commands to json file to be used by cppcheck
set(CMAKE_EXPORT_COMPILE_COMMANDS 1)
set(CPPCHECK_COMPILE_COMMANDS "${CMAKE_BINARY_DIR}/compile_commands.json")
# output directory for codecheck analysis
set(CPPCHECK_OUTPUT_DIRECTORY ${CMAKE_BINARY_DIR}/cppcheck_results)
if(CPPCHECK AND CPPCHECK_PATH AND NOT CPPCHECK_ADDED)
set(CPPCHECK_ADDED ON)
if (NOT TARGET cppcheck)
add_custom_target(cppcheck
COMMAND rm -rf ${CPPCHECK_OUTPUT_DIRECTORY}\;
mkdir -p ${CPPCHECK_OUTPUT_DIRECTORY}\;
${CPPCHECK_PATH}
--project=${CPPCHECK_COMPILE_COMMANDS}
--plist-output=${CPPCHECK_OUTPUT_DIRECTORY}
--enable=all
--inline-suppr
)
endif()
endif()

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# Try to find the GMP library
# https://gmplib.org/
#
# This module supports requiring a minimum version, e.g. you can do
# find_package(GMP 6.0.0)
# to require version 6.0.0 to newer of GMP.
#
# Once done this will define
#
# GMP_FOUND - system has GMP lib with correct version
# GMP_INCLUDES - the GMP include directory
# GMP_LIBRARIES - the GMP library
# GMP_VERSION - GMP version
#
# Copyright (c) 2016 Jack Poulson, <jack.poulson@gmail.com>
# Redistribution and use is allowed according to the terms of the BSD license.
find_path(GMP_INCLUDES NAMES gmp.h PATHS $ENV{GMPDIR} ${INCLUDE_INSTALL_DIR})
# Set GMP_FIND_VERSION to 5.1.0 if no minimum version is specified
if(NOT GMP_FIND_VERSION)
if(NOT GMP_FIND_VERSION_MAJOR)
set(GMP_FIND_VERSION_MAJOR 5)
endif()
if(NOT GMP_FIND_VERSION_MINOR)
set(GMP_FIND_VERSION_MINOR 1)
endif()
if(NOT GMP_FIND_VERSION_PATCH)
set(GMP_FIND_VERSION_PATCH 0)
endif()
set(GMP_FIND_VERSION
"${GMP_FIND_VERSION_MAJOR}.${GMP_FIND_VERSION_MINOR}.${GMP_FIND_VERSION_PATCH}")
endif()
message("GMP_INCLUDES=${GMP_INCLUDES}")
if(GMP_INCLUDES)
# Since the GMP version macros may be in a file included by gmp.h of the form
# gmp-.*[_]?.*.h (e.g., gmp-x86_64.h), we search each of them.
file(GLOB GMP_HEADERS "${GMP_INCLUDES}/gmp.h" "${GMP_INCLUDES}/gmp-*.h")
foreach(gmp_header_filename ${GMP_HEADERS})
file(READ "${gmp_header_filename}" _gmp_version_header)
string(REGEX MATCH
"define[ \t]+__GNU_MP_VERSION[ \t]+([0-9]+)" _gmp_major_version_match
"${_gmp_version_header}")
if(_gmp_major_version_match)
set(GMP_MAJOR_VERSION "${CMAKE_MATCH_1}")
string(REGEX MATCH "define[ \t]+__GNU_MP_VERSION_MINOR[ \t]+([0-9]+)"
_gmp_minor_version_match "${_gmp_version_header}")
set(GMP_MINOR_VERSION "${CMAKE_MATCH_1}")
string(REGEX MATCH "define[ \t]+__GNU_MP_VERSION_PATCHLEVEL[ \t]+([0-9]+)"
_gmp_patchlevel_version_match "${_gmp_version_header}")
set(GMP_PATCHLEVEL_VERSION "${CMAKE_MATCH_1}")
set(GMP_VERSION
${GMP_MAJOR_VERSION}.${GMP_MINOR_VERSION}.${GMP_PATCHLEVEL_VERSION})
endif()
endforeach()
# Check whether found version exists and exceeds the minimum requirement
if(NOT GMP_VERSION)
set(GMP_VERSION_OK FALSE)
message(STATUS "GMP version was not detected")
elseif(${GMP_VERSION} VERSION_LESS ${GMP_FIND_VERSION})
set(GMP_VERSION_OK FALSE)
message(STATUS "GMP version ${GMP_VERSION} found in ${GMP_INCLUDES}, "
"but at least version ${GMP_FIND_VERSION} is required")
else()
set(GMP_VERSION_OK TRUE)
endif()
endif()
find_library(GMP_LIBRARIES gmp PATHS $ENV{GMPDIR} ${LIB_INSTALL_DIR})
include(FindPackageHandleStandardArgs)
find_package_handle_standard_args(GMP DEFAULT_MSG
GMP_INCLUDES GMP_LIBRARIES GMP_VERSION_OK)
mark_as_advanced(GMP_INCLUDES GMP_LIBRARIES)

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@@ -0,0 +1,25 @@
# Find Valgrind.
#
# This module defines:
# VALGRIND_INCLUDE_DIR, where to find valgrind/memcheck.h, etc.
# VALGRIND_PROGRAM, the valgrind executable.
# VALGRIND_FOUND, If false, do not try to use valgrind.
#
# If you have valgrind installed in a non-standard place, you can define
# VALGRIND_PREFIX to tell cmake where it is.
#
# NOTE: Copied from the opencog project, where it is distributed under the
# terms of the New BSD License.
message(STATUS "Valgrind Prefix: ${VALGRIND_PREFIX}")
find_path(VALGRIND_INCLUDE_DIR valgrind/memcheck.h
/usr/include /usr/local/include ${VALGRIND_PREFIX}/include)
find_program(VALGRIND_PROGRAM NAMES valgrind PATH
/usr/bin /usr/local/bin ${VALGRIND_PREFIX}/bin)
find_package_handle_standard_args(VALGRIND DEFAULT_MSG
VALGRIND_INCLUDE_DIR
VALGRIND_PROGRAM)
mark_as_advanced(VALGRIND_INCLUDE_DIR VALGRIND_PROGRAM)

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@@ -0,0 +1,269 @@
# Written in 2016 by Henrik Steffen Gaßmann <henrik@gassmann.onl>
#
# To the extent possible under law, the author(s) have dedicated all
# copyright and related and neighboring rights to this software to the
# public domain worldwide. This software is distributed without any warranty.
#
# You should have received a copy of the CC0 Public Domain Dedication
# along with this software. If not, see
#
# http://creativecommons.org/publicdomain/zero/1.0/
#
########################################################################
# Tries to find the local libsodium installation.
#
# On Windows the sodium_DIR environment variable is used as a default
# hint which can be overridden by setting the corresponding cmake variable.
#
# Once done the following variables will be defined:
#
# sodium_FOUND
# sodium_INCLUDE_DIR
# sodium_LIBRARY_DEBUG
# sodium_LIBRARY_RELEASE
#
#
# Furthermore an imported "sodium" target is created.
#
if (CMAKE_C_COMPILER_ID STREQUAL "GNU"
OR CMAKE_C_COMPILER_ID STREQUAL "Clang")
set(_GCC_COMPATIBLE 1)
endif()
# static library option
option(sodium_USE_STATIC_LIBS "enable to statically link against sodium")
if(NOT (sodium_USE_STATIC_LIBS EQUAL sodium_USE_STATIC_LIBS_LAST))
unset(sodium_LIBRARY CACHE)
unset(sodium_LIBRARY_DEBUG CACHE)
unset(sodium_LIBRARY_RELEASE CACHE)
unset(sodium_DLL_DEBUG CACHE)
unset(sodium_DLL_RELEASE CACHE)
set(sodium_USE_STATIC_LIBS_LAST ${sodium_USE_STATIC_LIBS} CACHE INTERNAL "internal change tracking variable")
endif()
########################################################################
# UNIX
if (UNIX)
# import pkg-config
find_package(PkgConfig QUIET)
if (PKG_CONFIG_FOUND)
pkg_check_modules(sodium_PKG QUIET libsodium)
endif()
if(sodium_USE_STATIC_LIBS)
set(XPREFIX sodium_PKG_STATIC)
else()
set(XPREFIX sodium_PKG)
endif()
find_path(sodium_INCLUDE_DIR sodium.h
HINTS ${${XPREFIX}_INCLUDE_DIRS}
)
find_library(sodium_LIBRARY_DEBUG NAMES ${${XPREFIX}_LIBRARIES} sodium
HINTS ${${XPREFIX}_LIBRARY_DIRS}
)
find_library(sodium_LIBRARY_RELEASE NAMES ${${XPREFIX}_LIBRARIES} sodium
HINTS ${${XPREFIX}_LIBRARY_DIRS}
)
########################################################################
# Windows
elseif (WIN32)
set(sodium_DIR "$ENV{sodium_DIR}" CACHE FILEPATH "sodium install directory")
mark_as_advanced(sodium_DIR)
find_path(sodium_INCLUDE_DIR sodium.h
HINTS ${sodium_DIR}
PATH_SUFFIXES include
)
if (MSVC)
# detect target architecture
file(WRITE "${CMAKE_CURRENT_BINARY_DIR}/arch.c" [=[
#if defined _M_IX86
#error ARCH_VALUE x86_32
#elif defined _M_X64
#error ARCH_VALUE x86_64
#endif
#error ARCH_VALUE unknown
]=])
try_compile(_UNUSED_VAR "${CMAKE_CURRENT_BINARY_DIR}" "${CMAKE_CURRENT_BINARY_DIR}/arch.c"
OUTPUT_VARIABLE _COMPILATION_LOG
)
string(REGEX REPLACE ".*ARCH_VALUE ([a-zA-Z0-9_]+).*" "\\1" _TARGET_ARCH "${_COMPILATION_LOG}")
# construct library path
if (_TARGET_ARCH STREQUAL "x86_32")
string(APPEND _PLATFORM_PATH "Win32")
elseif(_TARGET_ARCH STREQUAL "x86_64")
string(APPEND _PLATFORM_PATH "x64")
else()
message(FATAL_ERROR "the ${_TARGET_ARCH} architecture is not supported by Findsodium.cmake.")
endif()
string(APPEND _PLATFORM_PATH "/$$CONFIG$$")
if (MSVC_VERSION LESS 1900)
math(EXPR _VS_VERSION "${MSVC_VERSION} / 10 - 60")
else()
math(EXPR _VS_VERSION "${MSVC_VERSION} / 10 - 50")
endif()
string(APPEND _PLATFORM_PATH "/v${_VS_VERSION}")
if (sodium_USE_STATIC_LIBS)
string(APPEND _PLATFORM_PATH "/static")
else()
string(APPEND _PLATFORM_PATH "/dynamic")
endif()
string(REPLACE "$$CONFIG$$" "Debug" _DEBUG_PATH_SUFFIX "${_PLATFORM_PATH}")
string(REPLACE "$$CONFIG$$" "Release" _RELEASE_PATH_SUFFIX "${_PLATFORM_PATH}")
find_library(sodium_LIBRARY_DEBUG libsodium.lib
HINTS ${sodium_DIR}
PATH_SUFFIXES ${_DEBUG_PATH_SUFFIX}
)
find_library(sodium_LIBRARY_RELEASE libsodium.lib
HINTS ${sodium_DIR}
PATH_SUFFIXES ${_RELEASE_PATH_SUFFIX}
)
if (NOT sodium_USE_STATIC_LIBS)
set(CMAKE_FIND_LIBRARY_SUFFIXES_BCK ${CMAKE_FIND_LIBRARY_SUFFIXES})
set(CMAKE_FIND_LIBRARY_SUFFIXES ".dll")
find_library(sodium_DLL_DEBUG libsodium
HINTS ${sodium_DIR}
PATH_SUFFIXES ${_DEBUG_PATH_SUFFIX}
)
find_library(sodium_DLL_RELEASE libsodium
HINTS ${sodium_DIR}
PATH_SUFFIXES ${_RELEASE_PATH_SUFFIX}
)
set(CMAKE_FIND_LIBRARY_SUFFIXES ${CMAKE_FIND_LIBRARY_SUFFIXES_BCK})
endif()
elseif(_GCC_COMPATIBLE)
if (sodium_USE_STATIC_LIBS)
find_library(sodium_LIBRARY_DEBUG libsodium.a
HINTS ${sodium_DIR}
PATH_SUFFIXES lib
)
find_library(sodium_LIBRARY_RELEASE libsodium.a
HINTS ${sodium_DIR}
PATH_SUFFIXES lib
)
else()
find_library(sodium_LIBRARY_DEBUG libsodium.dll.a
HINTS ${sodium_DIR}
PATH_SUFFIXES lib
)
find_library(sodium_LIBRARY_RELEASE libsodium.dll.a
HINTS ${sodium_DIR}
PATH_SUFFIXES lib
)
file(GLOB _DLL
LIST_DIRECTORIES false
RELATIVE "${sodium_DIR}/bin"
"${sodium_DIR}/bin/libsodium*.dll"
)
find_library(sodium_DLL_DEBUG ${_DLL} libsodium
HINTS ${sodium_DIR}
PATH_SUFFIXES bin
)
find_library(sodium_DLL_RELEASE ${_DLL} libsodium
HINTS ${sodium_DIR}
PATH_SUFFIXES bin
)
endif()
else()
message(FATAL_ERROR "this platform is not supported by FindSodium.cmake")
endif()
########################################################################
# unsupported
else()
message(FATAL_ERROR "this platform is not supported by FindSodium.cmake")
endif()
########################################################################
# common stuff
# extract sodium version
if (sodium_INCLUDE_DIR)
set(_VERSION_HEADER "${_INCLUDE_DIR}/sodium/version.h")
if (EXISTS _VERSION_HEADER)
file(READ "${_VERSION_HEADER}" _VERSION_HEADER_CONTENT)
string(REGEX REPLACE ".*#[ \t]*define[ \t]*SODIUM_VERSION_STRING[ \t]*\"([^\n]*)\".*" "\\1"
sodium_VERSION "${_VERSION_HEADER_CONTENT}")
set(sodium_VERSION "${sodium_VERSION}" PARENT_SCOPE)
endif()
endif()
# communicate results
include(FindPackageHandleStandardArgs)
find_package_handle_standard_args(sodium
REQUIRED_VARS
sodium_LIBRARY_RELEASE
sodium_LIBRARY_DEBUG
sodium_INCLUDE_DIR
VERSION_VAR
sodium_VERSION
)
# mark file paths as advanced
mark_as_advanced(sodium_INCLUDE_DIR)
mark_as_advanced(sodium_LIBRARY_DEBUG)
mark_as_advanced(sodium_LIBRARY_RELEASE)
if (WIN32)
mark_as_advanced(sodium_DLL_DEBUG)
mark_as_advanced(sodium_DLL_RELEASE)
endif()
# create imported target
if(sodium_USE_STATIC_LIBS)
set(_LIB_TYPE STATIC)
else()
set(_LIB_TYPE SHARED)
endif()
add_library(sodium ${_LIB_TYPE} IMPORTED)
set_target_properties(sodium PROPERTIES
INTERFACE_INCLUDE_DIRECTORIES "${sodium_INCLUDE_DIR}"
IMPORTED_LINK_INTERFACE_LANGUAGES "C"
)
if (sodium_USE_STATIC_LIBS)
set_target_properties(sodium PROPERTIES
INTERFACE_COMPILE_DEFINITIONS "SODIUM_STATIC"
IMPORTED_LOCATION "${sodium_LIBRARY_RELEASE}"
IMPORTED_LOCATION_DEBUG "${sodium_LIBRARY_DEBUG}"
)
else()
if (UNIX)
set_target_properties(sodium PROPERTIES
IMPORTED_LOCATION "${sodium_LIBRARY_RELEASE}"
IMPORTED_LOCATION_DEBUG "${sodium_LIBRARY_DEBUG}"
)
elseif (WIN32)
set_target_properties(sodium PROPERTIES
IMPORTED_IMPLIB "${sodium_LIBRARY_RELEASE}"
IMPORTED_IMPLIB_DEBUG "${sodium_LIBRARY_DEBUG}"
)
if (NOT (sodium_DLL_DEBUG MATCHES ".*-NOTFOUND"))
set_target_properties(sodium PROPERTIES
IMPORTED_LOCATION_DEBUG "${sodium_DLL_DEBUG}"
)
endif()
if (NOT (sodium_DLL_RELEASE MATCHES ".*-NOTFOUND"))
set_target_properties(sodium PROPERTIES
IMPORTED_LOCATION_RELWITHDEBINFO "${sodium_DLL_RELEASE}"
IMPORTED_LOCATION_MINSIZEREL "${sodium_DLL_RELEASE}"
IMPORTED_LOCATION_RELEASE "${sodium_DLL_RELEASE}"
)
endif()
endif()
endif()

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INCLUDE(CheckParent)
# search for CCCC binary
FIND_PROGRAM(CCCC cccc )
#
# check if the GENERATE_CCCC function has already been defined
#
get_property(_GENERATE_CCCC GLOBAL PROPERTY _GENERATE_CCCC)
IF (NOT _GENERATE_CCCC)
# set that we have defined GENERATE_CCCC
set_property(GLOBAL PROPERTY _GENERATE_CCCC "YES")
FUNCTION(GENERATE_CCCC)
IF(CCCC)
CMAKE_PARSE_ARGUMENTS(ARG "" "" "TARGETS" ${ARGN})
get_property(_ccccfiles GLOBAL PROPERTY _ccccfiles)
foreach(_target ${ARG_TARGETS})
get_target_property(_sources ${_target} SOURCES)
get_target_property(_source_dir ${_target} SOURCE_DIR)
foreach(_source ${_sources})
set(_fullsource "${_source_dir}/${_source}")
list(APPEND _ccccfiles "${_fullsource}")
endforeach()
endforeach()
set_property(GLOBAL PROPERTY _ccccfiles ${_ccccfiles})
ENDIF()
ENDFUNCTION()
FUNCTION(RESET_CCCC)
set_property(GLOBAL PROPERTY _ccccfiles "")
ENDFUNCTION()
FUNCTION(GENERATE_CCCC_TARGET)
IF (NOT hasParent AND CCCC)
get_property(_targetccccfiles GLOBAL PROPERTY _ccccfiles)
ADD_CUSTOM_TARGET(cccc
COMMAND ${CCCC} --outdir=cccc ${_targetccccfiles}
COMMENT "Generating cccc result")
ENDIF()
ENDFUNCTION()
ENDIF()

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@@ -0,0 +1,74 @@
INCLUDE(CheckParent)
find_program(CPPCHECK NAMES cppcheck)
#
# check if the GENERATE_CPPCHECK function has already been defined
#
get_property(_GENERATE_CPPCHECK GLOBAL PROPERTY _GENERATE_CPPCHECK)
IF (NOT _GENERATE_CPPCHECK)
# set that we have defined GENERATE_CCCC
set_property(GLOBAL PROPERTY _GENERATE_CPPCHECK "YES")
FUNCTION(GENERATE_CPPCHECK)
IF(NOT TARGET cppcheck)
IF(CPPCHECK)
CMAKE_PARSE_ARGUMENTS(ARG "" "" "TARGETS" ${ARGN})
get_property(_cppcheckfiles GLOBAL PROPERTY _cppcheckfiles)
get_property(_cppcheckincludedirs GLOBAL PROPERTY _cppcheckincludedirs)
foreach(_target ${ARG_TARGETS})
get_target_property(_sources ${_target} SOURCES)
get_target_property(_source_dir ${_target} SOURCE_DIR)
get_target_property(_include_dir ${_target} INCLUDE_DIRECTORIES)
string(REPLACE "$<" ";" _include_dirs ${_include_dir})
foreach(_dir ${_include_dirs})
list(APPEND _cppcheckincludedirs -I${_include_dir})
endforeach()
foreach(_source ${_sources})
set(_fullsource "${_source_dir}/${_source}")
list(APPEND _cppcheckfiles ${_fullsource})
endforeach()
endforeach()
set_property(GLOBAL PROPERTY _cppcheckfiles ${_cppcheckfiles})
set_property(GLOBAL PROPERTY _cppcheckincludedirs ${_cppcheckincludedirs})
ENDIF()
ENDIF()
ENDFUNCTION()
FUNCTION(RESET_CPPCHECK)
set_property(GLOBAL PROPERTY _cppcheckfiles "")
set_property(GLOBAL PROPERTY _cppcheckincludedirs "")
ENDFUNCTION()
FUNCTION(GENERATE_CPPCHECK_TARGET)
IF ( NOT hasParent AND CPPCHECK)
message("generate cppcheck target")
get_property(_targetcppcheckfiles GLOBAL PROPERTY _cppcheckfiles)
get_property(_targetcppcheckincludedirs GLOBAL PROPERTY _cppcheckincludedirs)
add_custom_target(cppcheck
COMMAND
${CPPCHECK}
--xml
--xml-version=2
--enable=all
--inconclusive
--force
--inline-suppr
${_targetcppcheckincludedirs}
${_targetcppcheckfiles}
2> cppcheck.xml
WORKING_DIRECTORY
${CMAKE_CURRENT_BINARY_DIR}
COMMENT
"cppcheck: Running cppcheck on target ${_targetname}..."
VERBATIM)
ENDIF()
ENDFUNCTION()
ENDIF()

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@@ -0,0 +1,23 @@
INCLUDE(CheckParent)
IF(NOT hasParent)
find_package(Doxygen)
IF (DOXYGEN_FOUND)
# set input and output files
set(DOXYGEN_IN ${CMAKE_CURRENT_SOURCE_DIR}/docs/Doxyfile.in)
set(DOXYGEN_OUT ${CMAKE_CURRENT_BINARY_DIR}/Doxyfile)
# request to configure the file
configure_file(${DOXYGEN_IN} ${DOXYGEN_OUT} @ONLY)
# note the option ALL which allows to build the docs together with the application
add_custom_target( doxygen
COMMAND ${DOXYGEN_EXECUTABLE} ${DOXYGEN_OUT}
WORKING_DIRECTORY ${CMAKE_CURRENT_BINARY_DIR}
COMMENT "Generating API documentation with Doxygen"
VERBATIM )
ENDIF()
ENDIF()

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@@ -0,0 +1,17 @@
if (GIT_FOUND)
execute_process(
COMMAND git rev-parse --abbrev-ref HEAD
WORKING_DIRECTORY ${CMAKE_SOURCE_DIR}
OUTPUT_VARIABLE GIT_BRANCH
OUTPUT_STRIP_TRAILING_WHITESPACE
)
# Get the latest abbreviated commit hash of the working branch
execute_process(
COMMAND git log -1 --format=%h
WORKING_DIRECTORY ${CMAKE_SOURCE_DIR}
OUTPUT_VARIABLE GIT_COMMIT_HASH
OUTPUT_STRIP_TRAILING_WHITESPACE
)
endif()

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@@ -0,0 +1,22 @@
get_property(_ADD_MY_TEST GLOBAL PROPERTY _ADD_MY_TEST)
IF (NOT _ADD_MY_TEST)
# set that we have defined GENERATE_CCCC
set_property(GLOBAL PROPERTY _ADD_MY_TEST "YES")
FUNCTION(ADD_MY_TEST)
CMAKE_PARSE_ARGUMENTS(ARG "" "TEST" "SOURCES;LIBS" ${ARGN})
get_property(_mytests GLOBAL PROPERTY _mytests)
list(APPEND _mytests "${ARG_TEST}")
add_executable(${ARG_TEST} ${ARG_SOURCES})
target_link_libraries(${ARG_TEST} ${ARG_LIBS})
add_test(${ARG_TEST} ${ARG_TEST})
set_property(GLOBAL PROPERTY _mytests ${_mytests})
ENDFUNCTION()
ENDIF()

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@@ -0,0 +1,66 @@
#
# Copyright (C) 2018 by George Cave - gcave@stablecoder.ca
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may not
# use this file except in compliance with the License. You may obtain a copy of
# the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
# License for the specific language governing permissions and limitations under
# the License.
# Set the compiler standard to C++11
macro(cxx_11)
set(CMAKE_CXX_STANDARD 11)
set(CMAKE_CXX_STANDARD_REQUIRED ON)
set(CMAKE_CXX_EXTENSIONS OFF)
if(MSVC_VERSION GREATER_EQUAL "1900" AND CMAKE_VERSION LESS 3.10)
include(CheckCXXCompilerFlag)
check_cxx_compiler_flag("/std:c++11" _cpp_latest_flag_supported)
if(_cpp_latest_flag_supported)
add_compile_options("/std:c++11")
endif()
endif()
endmacro()
# Set the compiler standard to C++14
macro(cxx_14)
set(CMAKE_CXX_STANDARD 14)
set(CMAKE_CXX_STANDARD_REQUIRED ON)
set(CMAKE_CXX_EXTENSIONS OFF)
if(MSVC_VERSION GREATER_EQUAL "1900" AND CMAKE_VERSION LESS 3.10)
include(CheckCXXCompilerFlag)
check_cxx_compiler_flag("/std:c++14" _cpp_latest_flag_supported)
if(_cpp_latest_flag_supported)
add_compile_options("/std:c++14")
endif()
endif()
endmacro()
# Set the compiler standard to C++17
macro(cxx_17)
set(CMAKE_CXX_STANDARD 17)
set(CMAKE_CXX_STANDARD_REQUIRED ON)
set(CMAKE_CXX_EXTENSIONS OFF)
if(MSVC_VERSION GREATER_EQUAL "1900" AND CMAKE_VERSION LESS 3.10)
include(CheckCXXCompilerFlag)
check_cxx_compiler_flag("/std:c++17" _cpp_latest_flag_supported)
if(_cpp_latest_flag_supported)
add_compile_options("/std:c++17")
endif()
endif()
endmacro()
# Set the compiler standard to C++20
macro(cxx_20)
set(CMAKE_CXX_STANDARD 20)
set(CMAKE_CXX_STANDARD_REQUIRED ON)
set(CMAKE_CXX_EXTENSIONS OFF)
endmacro()

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@@ -0,0 +1,588 @@
#
# Copyright (C) 2018 by George Cave - gcave@stablecoder.ca
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may not
# use this file except in compliance with the License. You may obtain a copy of
# the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
# License for the specific language governing permissions and limitations under
# the License.
# USAGE: To enable any code coverage instrumentation/targets, the single CMake
# option of `CODE_COVERAGE` needs to be set to 'ON', either by GUI, ccmake, or
# on the command line.
#
# From this point, there are two primary methods for adding instrumentation to
# targets: 1 - A blanket instrumentation by calling `add_code_coverage()`, where
# all targets in that directory and all subdirectories are automatically
# instrumented. 2 - Per-target instrumentation by calling
# `target_code_coverage(<TARGET_NAME>)`, where the target is given and thus only
# that target is instrumented. This applies to both libraries and executables.
#
# To add coverage targets, such as calling `make ccov` to generate the actual
# coverage information for perusal or consumption, call
# `target_code_coverage(<TARGET_NAME>)` on an *executable* target.
#
# Example 1: All targets instrumented
#
# In this case, the coverage information reported will will be that of the
# `theLib` library target and `theExe` executable.
#
# 1a: Via global command
#
# ~~~
# add_code_coverage() # Adds instrumentation to all targets
#
# add_library(theLib lib.cpp)
#
# add_executable(theExe main.cpp)
# target_link_libraries(theExe PRIVATE theLib)
# target_code_coverage(theExe) # As an executable target, adds the 'ccov-theExe' target (instrumentation already added via global anyways) for generating code coverage reports.
# ~~~
#
# 1b: Via target commands
#
# ~~~
# add_library(theLib lib.cpp)
# target_code_coverage(theLib) # As a library target, adds coverage instrumentation but no targets.
#
# add_executable(theExe main.cpp)
# target_link_libraries(theExe PRIVATE theLib)
# target_code_coverage(theExe) # As an executable target, adds the 'ccov-theExe' target and instrumentation for generating code coverage reports.
# ~~~
#
# Example 2: Target instrumented, but with regex pattern of files to be excluded
# from report
#
# ~~~
# add_executable(theExe main.cpp non_covered.cpp)
# target_code_coverage(theExe EXCLUDE non_covered.cpp test/*) # As an executable target, the reports will exclude the non-covered.cpp file, and any files in a test/ folder.
# ~~~
#
# Example 3: Target added to the 'ccov' and 'ccov-all' targets
#
# ~~~
# add_code_coverage_all_targets(EXCLUDE test/*) # Adds the 'ccov-all' target set and sets it to exclude all files in test/ folders.
#
# add_executable(theExe main.cpp non_covered.cpp)
# target_code_coverage(theExe AUTO ALL EXCLUDE non_covered.cpp test/*) # As an executable target, adds to the 'ccov' and ccov-all' targets, and the reports will exclude the non-covered.cpp file, and any files in a test/ folder.
# ~~~
# Options
option(
CODE_COVERAGE
"Builds targets with code coverage instrumentation. (Requires GCC or Clang)"
OFF)
# Programs
find_program(LLVM_COV_PATH NAMES llvm-cov llvm-cov-8 llvm-cov-7 llvm-cov-6)
find_program(LLVM_PROFDATA_PATH NAMES llvm-profdata llvm-profdata-8 llvm-profdata-7 llvm-profdata-6)
find_program(LCOV_PATH lcov)
find_program(GENHTML_PATH genhtml)
# Variables
set(CMAKE_COVERAGE_OUTPUT_DIRECTORY ${CMAKE_BINARY_DIR}/ccov)
# Common initialization/checks
if(CODE_COVERAGE AND NOT CODE_COVERAGE_ADDED)
set(CODE_COVERAGE_ADDED ON)
# Common Targets
add_custom_target(ccov-preprocessing
COMMAND ${CMAKE_COMMAND}
-E
make_directory
${CMAKE_COVERAGE_OUTPUT_DIRECTORY}
DEPENDS ccov-clean)
if("${CMAKE_C_COMPILER_ID}" MATCHES "(Apple)?[Cc]lang"
OR "${CMAKE_CXX_COMPILER_ID}" MATCHES "(Apple)?[Cc]lang")
# Messages
message(STATUS "Building with llvm Code Coverage Tools")
if(NOT LLVM_COV_PATH)
message(FATAL_ERROR "llvm-cov not found! Aborting.")
else()
# Version number checking for 'EXCLUDE' compatability
execute_process(COMMAND ${LLVM_COV_PATH} --version
OUTPUT_VARIABLE LLVM_COV_VERSION_CALL_OUTPUT)
string(REGEX MATCH
"[0-9]+\\.[0-9]+\\.[0-9]+"
LLVM_COV_VERSION
${LLVM_COV_VERSION_CALL_OUTPUT})
if(LLVM_COV_VERSION VERSION_LESS "7.0.0")
message(
WARNING
"target_code_coverage()/add_code_coverage_all_targets() 'EXCLUDE' option only available on llvm-cov >= 7.0.0"
)
endif()
endif()
# Targets
add_custom_target(ccov-clean
COMMAND rm -f
${CMAKE_COVERAGE_OUTPUT_DIRECTORY}/binaries.list
COMMAND rm -f
${CMAKE_COVERAGE_OUTPUT_DIRECTORY}/profraw.list)
# Used to get the shared object file list before doing the main all-processing
add_custom_target(ccov-libs
COMMAND ;
COMMENT "libs ready for coverage report.")
elseif(CMAKE_COMPILER_IS_GNUCXX)
# Messages
message(STATUS "Building with lcov Code Coverage Tools")
if(CMAKE_BUILD_TYPE)
string(TOUPPER ${CMAKE_BUILD_TYPE} upper_build_type)
if(NOT ${upper_build_type} STREQUAL "DEBUG")
message(
WARNING
"Code coverage results with an optimized (non-Debug) build may be misleading"
)
endif()
else()
message(
WARNING
"Code coverage results with an optimized (non-Debug) build may be misleading"
)
endif()
if(NOT LCOV_PATH)
message(FATAL_ERROR "lcov not found! Aborting...")
endif()
if(NOT GENHTML_PATH)
message(FATAL_ERROR "genhtml not found! Aborting...")
endif()
# Targets
add_custom_target(ccov-clean
COMMAND ${LCOV_PATH}
--directory
${CMAKE_BINARY_DIR}
--zerocounters)
else()
message(FATAL_ERROR "Code coverage requires Clang or GCC. Aborting.")
endif()
endif()
# Adds code coverage instrumentation to a library, or instrumentation/targets
# for an executable target.
# ~~~
# EXECUTABLE ADDED TARGETS:
# GCOV/LCOV:
# ccov : Generates HTML code coverage report for every target added with 'AUTO' parameter.
# ccov-${TARGET_NAME} : Generates HTML code coverage report for the associated named target.
# ccov-all : Generates HTML code coverage report, merging every target added with 'ALL' parameter into a single detailed report.
#
# LLVM-COV:
# ccov : Generates HTML code coverage report for every target added with 'AUTO' parameter.
# ccov-report : Generates HTML code coverage report for every target added with 'AUTO' parameter.
# ccov-${TARGET_NAME} : Generates HTML code coverage report.
# ccov-report-${TARGET_NAME} : Prints to command line summary per-file coverage information.
# ccov-show-${TARGET_NAME} : Prints to command line detailed per-line coverage information.
# ccov-all : Generates HTML code coverage report, merging every target added with 'ALL' parameter into a single detailed report.
# ccov-all-report : Prints summary per-file coverage information for every target added with ALL' parameter to the command line.
#
# Required:
# TARGET_NAME - Name of the target to generate code coverage for.
# Optional:
# AUTO - Adds the target to the 'ccov' target so that it can be run in a batch with others easily. Effective on executable targets.
# ALL - Adds the target to the 'ccov-all' and 'ccov-all-report' targets, which merge several executable targets coverage data to a single report. Effective on executable targets.
# EXTERNAL - For GCC's lcov, allows the profiling of 'external' files from the processing directory
# EXCLUDE <REGEX_PATTERNS> - Excludes files of the patterns provided from coverage. **These do not copy to the 'all' targets.**
# OBJECTS <TARGETS> - For executables ONLY, if the provided targets are shared libraries, adds coverage information to the output
# ~~~
function(target_code_coverage TARGET_NAME)
# Argument parsing
set(options AUTO ALL EXTERNAL)
set(multi_value_keywords EXCLUDE OBJECTS)
cmake_parse_arguments(target_code_coverage
"${options}"
""
"${multi_value_keywords}"
${ARGN})
if(CODE_COVERAGE)
# Add code coverage instrumentation to the target's linker command
if("${CMAKE_C_COMPILER_ID}" MATCHES "(Apple)?[Cc]lang"
OR "${CMAKE_CXX_COMPILER_ID}" MATCHES "(Apple)?[Cc]lang")
target_compile_options(
${TARGET_NAME}
PRIVATE -fprofile-instr-generate -fcoverage-mapping)
set_property(TARGET ${TARGET_NAME}
APPEND_STRING
PROPERTY LINK_FLAGS "-fprofile-instr-generate ")
set_property(TARGET ${TARGET_NAME}
APPEND_STRING
PROPERTY LINK_FLAGS "-fcoverage-mapping ")
elseif(CMAKE_COMPILER_IS_GNUCXX)
target_compile_options(${TARGET_NAME}
PRIVATE -fprofile-arcs -ftest-coverage)
target_link_libraries(${TARGET_NAME} PRIVATE gcov)
endif()
# Targets
get_target_property(target_type ${TARGET_NAME} TYPE)
# Add shared library to processing for 'all' targets
if(target_type STREQUAL "SHARED_LIBRARY" AND target_code_coverage_ALL)
if("${CMAKE_C_COMPILER_ID}" MATCHES "(Apple)?[Cc]lang"
OR "${CMAKE_CXX_COMPILER_ID}" MATCHES "(Apple)?[Cc]lang")
add_custom_target(
ccov-run-${TARGET_NAME}
COMMAND echo
"-object=$<TARGET_FILE:${TARGET_NAME}>"
>>
${CMAKE_COVERAGE_OUTPUT_DIRECTORY}/binaries.list
DEPENDS ccov-preprocessing ${TARGET_NAME})
if(NOT TARGET ccov-libs)
message(
FATAL_ERROR
"Calling target_code_coverage with 'ALL' must be after a call to 'add_code_coverage_all_targets'."
)
endif()
add_dependencies(ccov-libs ccov-run-${TARGET_NAME})
endif()
endif()
# For executables add targets to run and produce output
if(target_type STREQUAL "EXECUTABLE")
if("${CMAKE_C_COMPILER_ID}" MATCHES "(Apple)?[Cc]lang"
OR "${CMAKE_CXX_COMPILER_ID}" MATCHES "(Apple)?[Cc]lang")
# If there are shared objects to also work with, generate the string to add them here
foreach(SO_TARGET ${target_code_coverage_OBJECTS})
# Check to see if the target is a shared object
if(TARGET ${SO_TARGET})
get_target_property(SO_TARGET_TYPE ${SO_TARGET} TYPE)
if(${SO_TARGET_TYPE} STREQUAL "SHARED_LIBRARY")
set(SO_OBJECTS ${SO_OBJECTS} -object=$<TARGET_FILE:${SO_TARGET}>)
endif()
endif()
endforeach()
# Run the executable, generating raw profile data
add_custom_target(
ccov-run-${TARGET_NAME}
COMMAND LLVM_PROFILE_FILE=${TARGET_NAME}.profraw
$<TARGET_FILE:${TARGET_NAME}>
COMMAND echo
"-object=$<TARGET_FILE:${TARGET_NAME}>"
>>
${CMAKE_COVERAGE_OUTPUT_DIRECTORY}/binaries.list
COMMAND echo
"${CMAKE_CURRENT_BINARY_DIR}/${TARGET_NAME}.profraw "
>>
${CMAKE_COVERAGE_OUTPUT_DIRECTORY}/profraw.list
DEPENDS ccov-preprocessing ccov-libs ${TARGET_NAME})
# Merge the generated profile data so llvm-cov can process it
add_custom_target(ccov-processing-${TARGET_NAME}
COMMAND ${LLVM_PROFDATA_PATH}
merge
-sparse
${TARGET_NAME}.profraw
-o
${TARGET_NAME}.profdata
DEPENDS ccov-run-${TARGET_NAME})
# Ignore regex only works on LLVM >= 7
if(LLVM_COV_VERSION VERSION_GREATER_EQUAL "7.0.0")
foreach(EXCLUDE_ITEM ${target_code_coverage_EXCLUDE})
set(EXCLUDE_REGEX ${EXCLUDE_REGEX}
-ignore-filename-regex='${EXCLUDE_ITEM}')
endforeach()
endif()
# Print out details of the coverage information to the command line
add_custom_target(ccov-show-${TARGET_NAME}
COMMAND ${LLVM_COV_PATH}
show
$<TARGET_FILE:${TARGET_NAME}>
${SO_OBJECTS}
-instr-profile=${TARGET_NAME}.profdata
-show-line-counts-or-regions
${EXCLUDE_REGEX}
DEPENDS ccov-processing-${TARGET_NAME})
# Print out a summary of the coverage information to the command line
add_custom_target(ccov-report-${TARGET_NAME}
COMMAND ${LLVM_COV_PATH}
report
$<TARGET_FILE:${TARGET_NAME}>
${SO_OBJECTS}
-instr-profile=${TARGET_NAME}.profdata
${EXCLUDE_REGEX}
DEPENDS ccov-processing-${TARGET_NAME})
# Generates HTML output of the coverage information for perusal
add_custom_target(
ccov-${TARGET_NAME}
COMMAND ${LLVM_COV_PATH}
show
$<TARGET_FILE:${TARGET_NAME}>
${SO_OBJECTS}
-instr-profile=${TARGET_NAME}.profdata
-show-line-counts-or-regions
-output-dir=${CMAKE_COVERAGE_OUTPUT_DIRECTORY}/${TARGET_NAME}
-format="html"
${EXCLUDE_REGEX}
DEPENDS ccov-processing-${TARGET_NAME})
elseif(CMAKE_COMPILER_IS_GNUCXX)
set(COVERAGE_INFO
"${CMAKE_COVERAGE_OUTPUT_DIRECTORY}/${TARGET_NAME}.info")
# Run the executable, generating coverage information
add_custom_target(ccov-run-${TARGET_NAME}
COMMAND $<TARGET_FILE:${TARGET_NAME}>
DEPENDS ccov-preprocessing ${TARGET_NAME})
# Generate exclusion string for use
foreach(EXCLUDE_ITEM ${target_code_coverage_EXCLUDE})
set(EXCLUDE_REGEX
${EXCLUDE_REGEX}
--remove
${COVERAGE_INFO}
'${EXCLUDE_ITEM}')
endforeach()
if(EXCLUDE_REGEX)
set(EXCLUDE_COMMAND
${LCOV_PATH}
${EXCLUDE_REGEX}
--output-file
${COVERAGE_INFO})
else()
set(EXCLUDE_COMMAND ;)
endif()
if(NOT ${target_code_coverage_EXTERNAL})
set(EXTERNAL_OPTION --no-external)
endif()
# Generates HTML output of the coverage information for perusal
add_custom_target(
ccov-${TARGET_NAME}
COMMAND ${CMAKE_COMMAND}
-E
remove
${COVERAGE_INFO}
COMMAND ${LCOV_PATH}
--directory
${CMAKE_BINARY_DIR}
--zerocounters
COMMAND $<TARGET_FILE:${TARGET_NAME}>
COMMAND ${LCOV_PATH}
--directory
${CMAKE_BINARY_DIR}
--base-directory
${CMAKE_SOURCE_DIR}
--capture
${EXTERNAL_OPTION}
--output-file
${COVERAGE_INFO}
COMMAND ${EXCLUDE_COMMAND}
COMMAND ${GENHTML_PATH}
-o
${CMAKE_COVERAGE_OUTPUT_DIRECTORY}/${TARGET_NAME}
${COVERAGE_INFO}
DEPENDS ccov-preprocessing ${TARGET_NAME})
endif()
add_custom_command(
TARGET ccov-${TARGET_NAME} POST_BUILD
COMMAND ;
COMMENT
"Open ${CMAKE_COVERAGE_OUTPUT_DIRECTORY}/${TARGET_NAME}/index.html in your browser to view the coverage report."
)
# AUTO
if(target_code_coverage_AUTO)
if(NOT TARGET ccov)
add_custom_target(ccov)
endif()
add_dependencies(ccov ccov-${TARGET_NAME})
if(NOT CMAKE_COMPILER_IS_GNUCXX)
if(NOT TARGET ccov-report)
add_custom_target(ccov-report)
endif()
add_dependencies(ccov-report ccov-report-${TARGET_NAME})
endif()
endif()
# ALL
if(target_code_coverage_ALL)
if(NOT TARGET ccov-all-processing)
message(
FATAL_ERROR
"Calling target_code_coverage with 'ALL' must be after a call to 'add_code_coverage_all_targets'."
)
endif()
add_dependencies(ccov-all-processing ccov-run-${TARGET_NAME})
endif()
endif()
endif()
endfunction()
# Adds code coverage instrumentation to all targets in the current directory and
# any subdirectories. To add coverage instrumentation to only specific targets,
# use `target_code_coverage`.
function(add_code_coverage)
if("${CMAKE_C_COMPILER_ID}" MATCHES "(Apple)?[Cc]lang"
OR "${CMAKE_CXX_COMPILER_ID}" MATCHES "(Apple)?[Cc]lang")
add_compile_options(-fprofile-instr-generate -fcoverage-mapping)
add_link_options(-fprofile-instr-generate -fcoverage-mapping)
elseif(CMAKE_COMPILER_IS_GNUCXX)
add_compile_options(-fprofile-arcs -ftest-coverage)
link_libraries(gcov)
endif()
endfunction()
# Adds the 'ccov-all' type targets that calls all targets added via
# `target_code_coverage` with the `ALL` parameter, but merges all the coverage
# data from them into a single large report instead of the numerous smaller
# reports.
# ~~~
# Optional:
# EXCLUDE <REGEX_PATTERNS> - Excludes files of the regex patterns provided from coverage.
# ~~~
function(add_code_coverage_all_targets)
# Argument parsing
set(multi_value_keywords EXCLUDE)
cmake_parse_arguments(add_code_coverage_all_targets
""
""
"${multi_value_keywords}"
${ARGN})
if(CODE_COVERAGE)
if("${CMAKE_C_COMPILER_ID}" MATCHES "(Apple)?[Cc]lang"
OR "${CMAKE_CXX_COMPILER_ID}" MATCHES "(Apple)?[Cc]lang")
# Merge the profile data for all of the run executables
add_custom_target(
ccov-all-processing
COMMAND ${LLVM_PROFDATA_PATH}
merge
-o
${CMAKE_COVERAGE_OUTPUT_DIRECTORY}/all-merged.profdata
-sparse
`cat
${CMAKE_COVERAGE_OUTPUT_DIRECTORY}/profraw.list`)
# Regex exclude only available for LLVM >= 7
if(LLVM_COV_VERSION VERSION_GREATER_EQUAL "7.0.0")
foreach(EXCLUDE_ITEM ${add_code_coverage_all_targets_EXCLUDE})
set(EXCLUDE_REGEX ${EXCLUDE_REGEX}
-ignore-filename-regex='${EXCLUDE_ITEM}')
endforeach()
endif()
# Print summary of the code coverage information to the command line
add_custom_target(
ccov-all-report
COMMAND
${LLVM_COV_PATH}
report
`cat
${CMAKE_COVERAGE_OUTPUT_DIRECTORY}/binaries.list`
-instr-profile=${CMAKE_COVERAGE_OUTPUT_DIRECTORY}/all-merged.profdata
${EXCLUDE_REGEX}
DEPENDS ccov-all-processing)
# Export coverage information so continuous integration tools (e.g. Jenkins) can consume it
add_custom_target(
ccov-all-export
COMMAND
${LLVM_COV_PATH}
export
`cat
${CMAKE_COVERAGE_OUTPUT_DIRECTORY}/binaries.list`
-instr-profile=${CMAKE_COVERAGE_OUTPUT_DIRECTORY}/all-merged.profdata
-format="text"
${EXCLUDE_REGEX} > ${CMAKE_COVERAGE_OUTPUT_DIRECTORY}/coverage.json
DEPENDS ccov-all-processing)
# Generate HTML output of all added targets for perusal
add_custom_target(
ccov-all
COMMAND
${LLVM_COV_PATH}
show
`cat
${CMAKE_COVERAGE_OUTPUT_DIRECTORY}/binaries.list`
-instr-profile=${CMAKE_COVERAGE_OUTPUT_DIRECTORY}/all-merged.profdata
-show-line-counts-or-regions
-output-dir=${CMAKE_COVERAGE_OUTPUT_DIRECTORY}/all-merged
-format="html"
${EXCLUDE_REGEX}
DEPENDS ccov-all-processing)
elseif(CMAKE_COMPILER_IS_GNUCXX)
set(COVERAGE_INFO "${CMAKE_COVERAGE_OUTPUT_DIRECTORY}/all-merged.info")
# Nothing required for gcov
add_custom_target(ccov-all-processing COMMAND ;)
# Exclusion regex string creation
foreach(EXCLUDE_ITEM ${add_code_coverage_all_targets_EXCLUDE})
set(EXCLUDE_REGEX
${EXCLUDE_REGEX}
--remove
${COVERAGE_INFO}
'${EXCLUDE_ITEM}')
endforeach()
if(EXCLUDE_REGEX)
set(EXCLUDE_COMMAND
${LCOV_PATH}
${EXCLUDE_REGEX}
--output-file
${COVERAGE_INFO})
else()
set(EXCLUDE_COMMAND ;)
endif()
# Generates HTML output of all targets for perusal
add_custom_target(ccov-all
COMMAND ${LCOV_PATH}
--directory
${CMAKE_BINARY_DIR}
--capture
--output-file
${COVERAGE_INFO}
COMMAND ${EXCLUDE_COMMAND}
COMMAND ${GENHTML_PATH}
-o
${CMAKE_COVERAGE_OUTPUT_DIRECTORY}/all-merged
${COVERAGE_INFO}
COMMAND ${CMAKE_COMMAND}
-E
remove
${COVERAGE_INFO}
DEPENDS ccov-all-processing)
endif()
add_custom_command(
TARGET ccov-all POST_BUILD
COMMAND ;
COMMENT
"Open ${CMAKE_COVERAGE_OUTPUT_DIRECTORY}/all-merged/index.html in your browser to view the coverage report."
)
endif()
endfunction()

View File

@@ -0,0 +1,83 @@
#
# This Source Code Form is subject to the terms of the Mozilla Public
# License, v. 2.0. If a copy of the MPL was not distributed with this
# file, You can obtain one at https://mozilla.org/MPL/2.0/.
#
option(CODECHECKER "Turns on codecheck processing if it is found." OFF)
option(CODECHECKER_STORE "Store results on central codechecker server" OFF)
option(CODECHECKER_RUN "Name of the codechecker run" "run-1")
option(CODECHECKER_BRANCH "Name of the branch codecheker is run for" "unknown")
option(CODECHECKER_URL "URL and product link to codechecker server" "http://localhost:8001/Default")
option(CODECHECK_TRIM_PATH "beginning of the path to be removed when storing" "/tmp")
find_program(CODECHECKER_PATH
NAME CodeChecker
PATHS ~/bin/
/usr/bin/
/usr/local/bin
)
if (CODECHECKER_PATH )
message(STATUS "CodeChecker found")
else()
message(STATUS "CodeChecker not found")
endif()
# export compile commands to json file to be used by atom c++ ide (clangd)
set(CMAKE_EXPORT_COMPILE_COMMANDS 1)
set(CODECHECKER_COMPILE_COMMANDS "${CMAKE_BINARY_DIR}/compile_commands.json")
# check if a skip file exists
if(EXISTS ${CMAKE_SOURCE_DIR}/codecheck.skip)
set(CODECHECKER_SKIP "-i${CMAKE_SOURCE_DIR}/codecheck.skip")
endif()
# output directory for codecheck analysis
set(CODECHECKER_OUTPUT_DIRECTORY ${CMAKE_BINARY_DIR}/codechecker_results)
# html output directory
set(CODECHECKER_HTML_OUTPUT_DIRECTORY ${CMAKE_BINARY_DIR}/codechecker_html)
# Common initialization/checks
if(CODECHECKER AND CODECHECKER_PATH AND NOT CODECHECKER_ADDED)
set(CODECHECKER_ADDED ON)
IF(NOT TARGET codechecker)
add_custom_target(codechecker
COMMAND ${CODECHECKER_PATH}
analyze
${CODECHECKER_SKIP}
-j 4
-o ${CODECHECKER_OUTPUT_DIRECTORY}
${CODECHECKER_COMPILE_COMMANDS}
)
add_custom_target(codechecker-clean
COMMAND rm -rf ${CODECHECKER_OUTPUT_DIRECTORY}
)
add_custom_target(codechecker-html
COMMAND ${CODECHECKER_PATH}
parse
${CODECHECKER_OUTPUT_DIRECTORY}
-e html
-o ${CODECHECKER_HTML_OUTPUT_DIRECTORY}
)
if (CODECHECKER_STORE)
add_custom_target(codechecker-store
COMMAND ${CODECHECKER_PATH}
store
--trim-path-prefix \"${CODECHECK_TRIM_PATH}\"
--tag \"${CODECHECKER_BRANCH}\"
-n \"${CODECHECKER_RUN}\"
--url ${CODECHECKER_URL}
${CODECHECKER_OUTPUT_DIRECTORY}
)
endif()
endif()
endif()

View File

@@ -0,0 +1,23 @@
find_program(COMPDB_PATH
NAME compdb
PATHS ~/.local/bin/
/bin
/sbin
/usr/bin
/usr/sbin
/usr/local/bin
/usr/local/sbin
)
if (COMPDB_PATH)
IF(NOT TARGET COMPD)
add_custom_target(COMPD
ALL
DEPENDS ${CMAKE_CURRENT_BINARY_DIR}/compile_commands.json
WORKING_DIRECTORY ${CMAKE_SOURCE_DIR}
COMMAND ${COMPDB_PATH} -p ${CMAKE_CURRENT_BINARY_DIR} list >compile_commands.json
)
endif()
endif()

View File

@@ -0,0 +1,46 @@
#
# Copyright (C) 2018 by George Cave - gcave@stablecoder.ca
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may not
# use this file except in compliance with the License. You may obtain a copy of
# the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
# License for the specific language governing permissions and limitations under
# the License.
option(ENABLE_ALL_WARNINGS "Compile with all warnings for the major compilers."
OFF)
option(ENABLE_EFFECTIVE_CXX "Enable Effective C++ warnings." OFF)
if(ENABLE_ALL_WARNINGS)
if(CMAKE_COMPILER_IS_GNUCXX)
# GCC
set(CMAKE_C_FLAGS "${CMAKE_C_FLAGS} -Wall -Wextra")
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -Wall -Wextra")
elseif("${CMAKE_C_COMPILER_ID}" MATCHES "(Apple)?[Cc]lang"
OR "${CMAKE_CXX_COMPILER_ID}" MATCHES "(Apple)?[Cc]lang")
# Clang
set(CMAKE_C_FLAGS "${CMAKE_C_FLAGS} -Wall -Wextra")
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -Wall -Wextra")
elseif(MSVC)
# MSVC
set(CMAKE_C_FLAGS "${CMAKE_C_FLAGS} /W4")
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} /W4")
endif()
endif()
if(ENABLE_EFFECTIVE_CXX)
if(CMAKE_COMPILER_IS_GNUCXX)
# GCC
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -Weffc++")
elseif("${CMAKE_C_COMPILER_ID}" MATCHES "(Apple)?[Cc]lang"
OR "${CMAKE_CXX_COMPILER_ID}" MATCHES "(Apple)?[Cc]lang")
# Clang
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -Weffc++")
endif()
endif()

View File

@@ -0,0 +1,15 @@
include(c++-standards)
include(compiler-options)
include(sanitizers)
include(codecheck)
include(CppCheck)
include(code-coverage)
include(tools)
include(GNUInstallDirs)
include(CTest)
include(doxygen)
include(ProcessGIT)
include(CheckParent)
include(add_my_test)
include(TestBigEndian)
include(compdb)

View File

@@ -0,0 +1,9 @@
include(defaultIncludes)
find_package(Git)
enable_testing()
cxx_20()
build_docs(PROCESS_DOXYFILE DOXYFILE_PATH "docs/Doxyfile.in" )
add_code_coverage_all_targets(EXCLUDE ${PROJECT_SOURCE_DIR}/libs/* ${PROJECT_SOURCE_DIR}/test/*)
TEST_BIG_ENDIAN(IS_BIG_ENDIAN)

134
cmake/Modules/doxygen.cmake Normal file
View File

@@ -0,0 +1,134 @@
#
# Copyright (C) 2018 by George Cave - gcave@stablecoder.ca
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may not
# use this file except in compliance with the License. You may obtain a copy of
# the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
# License for the specific language governing permissions and limitations under
# the License.
find_package(Doxygen)
option(BUILD_DOCUMENTATION "Build API documentation using Doxygen. (make doc)"
${DOXYGEN_FOUND})
# Builds doxygen documentation with a default 'Doxyfile.in' or with a specified
# one, and can make the results installable (under the `doc` install target)
#
# This can only be used once per project, as each target generated is as
# `doc-${PROJECT_NAME}` unless TARGET_NAME is specified.
# ~~~
# Optional Arguments:
#
# ADD_TO_DOC
# If specified, adds this generated target to be a dependency of the more general
# `doc` target.
#
# INSTALLABLE
# Adds the generated documentation to the generic `install` target, under the
# `documentation` installation group.
#
# PROCESS_DOXYFILE
# If set, then will process the found Doxyfile through the CMAKE `configure_file`
# function for macro replacements before using it. (@ONLY)
#
# TARGET_NAME <str>
# The name to give the doc target. (Default: doc-${PROJECT_NAME})
#
# OUTPUT_DIR <str>
# The directory to place the generated output. (Default: ${CMAKE_CURRENT_BINARY_DIR}/doc)
#
# INSTALL_PATH <str>
# The path to install the documenttation under. (if not specified, defaults to
# 'share/${PROJECT_NAME})
#
# DOXYFILE_PATH <str>
# The given doxygen file to use/process. (Defaults to'${CMAKE_CURRENT_SOURCE_DIR}/Doxyfile')
# ~~~
function(build_docs)
set(OPTIONS ADD_TO_DOC INSTALLABLE PROCESS_DOXYFILE)
set(SINGLE_VALUE_KEYWORDS
TARGET_NAME
INSTALL_PATH
DOXYFILE_PATH
OUTPUT_DIR)
set(MULTI_VALUE_KEYWORDS)
cmake_parse_arguments(build_docs
"${OPTIONS}"
"${SINGLE_VALUE_KEYWORDS}"
"${MULTI_VALUE_KEYWORDS}"
${ARGN})
if(BUILD_DOCUMENTATION)
if(NOT DOXYGEN_FOUND)
message(FATAL_ERROR "Doxygen is needed to build the documentation.")
endif()
if(NOT build_docs_DOXYFILE_PATH)
set(DOXYFILE_PATH "${CMAKE_CURRENT_SOURCE_DIR}/Doxyfile")
elseif(EXISTS "${build_docs_DOXYFILE_PATH}")
set(DOXYFILE_PATH "${build_docs_DOXYFILE_PATH}")
else()
set(DOXYFILE_PATH "${CMAKE_CURRENT_SOURCE_DIR}/${build_docs_DOXYFILE_PATH}")
endif()
if(NOT EXISTS "${DOXYFILE_PATH}")
message(
SEND_ERROR
"Could not find Doxyfile to use for procesing documentation at: ${DOXYFILE_PATH}"
)
return()
endif()
if(build_docs_PROCESS_DOXYFILE)
set(DOXYFILE "${CMAKE_CURRENT_BINARY_DIR}/Doxyfile")
configure_file("${DOXYFILE_PATH}" "${DOXYFILE}" @ONLY)
else()
set(DOXYFILE "${DOXYFILE_PATH}")
endif()
if(build_docs_OUTPUT_DIR)
set(OUT_DIR "${build_docs_OUTPUT_DIR}")
else()
set(OUT_DIR "${CMAKE_CURRENT_BINARY_DIR}/doc")
endif()
file(MAKE_DIRECTORY "${OUT_DIR}")
if(build_docs_TARGET_NAME)
set(TARGET_NAME ${build_docs_TARGET_NAME})
else()
set(TARGET_NAME doc-${PROJECT_NAME})
endif()
IF(NOT TARGET ${TARGET_NAME})
add_custom_target(${TARGET_NAME}
COMMAND ${DOXYGEN_EXECUTABLE} "${DOXYFILE}"
WORKING_DIRECTORY "${OUT_DIR}"
VERBATIM)
ENDIF()
if(build_docs_ADD_TO_DOC)
if(NOT TARGET doc)
add_custom_target(doc)
endif()
add_dependencies(doc ${TARGET_NAME})
endif()
if(build_docs_INSTALLABLE)
if(NOT build_docs_INSTALL_PATH)
set(build_docs_INSTALL_PATH share/${PROJECT_NAME})
endif()
install(DIRECTORY ${CMAKE_CURRENT_BINARY_DIR}/doc/
COMPONENT documentation
DESTINATION ${build_docs_INSTALL_PATH})
endif()
endif()
endfunction()

View File

@@ -0,0 +1,39 @@
function(protobuf_generate_cpp)
set(OPTIONS)
set(SINGLE_VALUE_KEYWORDS
PROTO_PATH
CPP_PATH
HPP_PATH
)
set(MULTI_VALUE_KEYWORDS)
cmake_parse_arguments(protobuf
"${OPTIONS}"
"${SINGLE_VALUE_KEYWORDS}"
"${MULTI_VALUE_KEYWORDS}"
${ARGN})
FILE(GLOB PROTO_FILES ${protobuf_PROTO_PATH}/*.proto)
set(PROTOC ${CMAKE_BINARY_DIR}/libs/whisper-com/libs/protobuf/protoc)
message(STATUS "protoc path: " ${PROTOC})
FOREACH(proto ${PROTO_FILES})
FILE(TO_NATIVE_PATH ${proto} proto_native)
get_filename_component(protoFILENAME ${proto} NAME_WLE )
get_filename_component(protoDIR ${proto} DIRECTORY)
message(STATUS "proto file path: " ${proto})
add_custom_command(
OUTPUT "${protoDIR}/${protoFILENAME}.pb.cc"
DEPENDS "${protoDIR}/${protoFILENAME}.proto"
COMMAND ${PROTOC} --cpp_out=${protoDIR} --proto_path=${protoDIR} --proto_path="${CMAKE_SOURCE_DIR}/libs/whisper-com/libs/protobuf/src" "${protoDIR}/${protoFILENAME}.proto"
)
ENDFOREACH(proto)
endfunction()

View File

@@ -0,0 +1,87 @@
#
# Copyright (C) 2018 by George Cave - gcave@stablecoder.ca
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may not
# use this file except in compliance with the License. You may obtain a copy of
# the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
# License for the specific language governing permissions and limitations under
# the License.
set(
USE_SANITIZER
""
CACHE
STRING
"Compile with a sanitizer. Options are: Address, Memory, MemoryWithOrigins, Undefined, Thread, Leak, 'Address;Undefined'"
)
function(append value)
foreach(variable ${ARGN})
set(${variable} "${${variable}} ${value}" PARENT_SCOPE)
endforeach(variable)
endfunction()
if(USE_SANITIZER)
append("-fno-omit-frame-pointer" CMAKE_C_FLAGS CMAKE_CXX_FLAGS)
if(UNIX)
if(uppercase_CMAKE_BUILD_TYPE STREQUAL "DEBUG")
append("-O1" CMAKE_C_FLAGS CMAKE_CXX_FLAGS)
endif()
if(USE_SANITIZER MATCHES "([Aa]ddress);([Uu]ndefined)"
OR USE_SANITIZER MATCHES "([Uu]ndefined);([Aa]ddress)")
message(STATUS "Building with Address, Undefined sanitizers")
append("-fsanitize=address,undefined" CMAKE_C_FLAGS CMAKE_CXX_FLAGS)
elseif("${USE_SANITIZER}" MATCHES "([Aa]ddress)")
# Optional: -fno-optimize-sibling-calls -fsanitize-address-use-after-scope
message(STATUS "Building with Address sanitizer")
append("-fsanitize=address" CMAKE_C_FLAGS CMAKE_CXX_FLAGS)
elseif(USE_SANITIZER MATCHES "([Mm]emory([Ww]ith[Oo]rigins)?)")
# Optional: -fno-optimize-sibling-calls -fsanitize-memory-track-origins=2
append("-fsanitize=memory" CMAKE_C_FLAGS CMAKE_CXX_FLAGS)
if(USE_SANITIZER MATCHES "([Mm]emory[Ww]ith[Oo]rigins)")
message(STATUS "Building with MemoryWithOrigins sanitizer")
append("-fsanitize-memory-track-origins" CMAKE_C_FLAGS CMAKE_CXX_FLAGS)
else()
message(STATUS "Building with Memory sanitizer")
endif()
elseif(USE_SANITIZER MATCHES "([Uu]ndefined)")
message(STATUS "Building with Undefined sanitizer")
append("-fsanitize=undefined" CMAKE_C_FLAGS CMAKE_CXX_FLAGS)
if(EXISTS "${BLACKLIST_FILE}")
append("-fsanitize-blacklist=${BLACKLIST_FILE}" CMAKE_C_FLAGS
CMAKE_CXX_FLAGS)
endif()
elseif(USE_SANITIZER MATCHES "([Tt]hread)")
message(STATUS "Building with Thread sanitizer")
append("-fsanitize=thread" CMAKE_C_FLAGS CMAKE_CXX_FLAGS)
elseif(USE_SANITIZER MATCHES "([Ll]eak)")
message(STATUS "Building with Leak sanitizer")
append("-fsanitize=leak" CMAKE_C_FLAGS CMAKE_CXX_FLAGS)
else()
message(
FATAL_ERROR "Unsupported value of USE_SANITIZER: ${USE_SANITIZER}")
endif()
elseif(MSVC)
if(USE_SANITIZER MATCHES "([Aa]ddress)")
message(STATUS "Building with Address sanitizer")
append("-fsanitize=address" CMAKE_C_FLAGS CMAKE_CXX_FLAGS)
else()
message(
FATAL_ERROR
"This sanitizer not yet supported in the MSVC environment: ${USE_SANITIZER}"
)
endif()
else()
message(FATAL_ERROR "USE_SANITIZER is not supported on this platform.")
endif()
endif()

64
cmake/Modules/tools.cmake Normal file
View File

@@ -0,0 +1,64 @@
#
# Copyright (C) 2018 by George Cave - gcave@stablecoder.ca
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may not
# use this file except in compliance with the License. You may obtain a copy of
# the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
# License for the specific language governing permissions and limitations under
# the License.
option(CLANG_TIDY "Turns on clang-tidy processing if it is found." OFF)
option(IWYU "Turns on include-what-you-use processing if it is found." OFF)
# Adds clang-tidy checks to the compilation, with the given arguments being used
# as the options set.
macro(clang_tidy)
if(CLANG_TIDY AND CLANG_TIDY_EXE)
set(CMAKE_CXX_CLANG_TIDY ${CLANG_TIDY_EXE} ${ARGN})
endif()
endmacro()
# Adds include_what_you_use to the compilation, with the given arguments being
# used as the options set.
macro(include_what_you_use)
if(IWYU AND IWYU_EXE)
set(CMAKE_CXX_INCLUDE_WHAT_YOU_USE "${IWYU_EXE};${ARGN}")
endif()
endmacro()
find_program(CLANG_TIDY_EXE NAMES clang-tidy clang-tidy-8 clang-tidy-7 clang-tidy-6)
if(CLANG_TIDY_EXE)
message(STATUS "clang-tidy found: ${CLANG_TIDY_EXE}")
if(NOT CLANG_TIDY)
message(STATUS "clang-tidy NOT ENABLED via 'CLANG_TIDY' variable!")
set(CMAKE_CXX_CLANG_TIDY "" CACHE STRING "" FORCE) # delete it
endif()
elseif(CLANG_TIDY)
message(SEND_ERROR "Cannot enable clang-tidy, as executable not found!")
set(CMAKE_CXX_CLANG_TIDY "" CACHE STRING "" FORCE) # delete it
else()
message(STATUS "clang-tidy not found!")
set(CMAKE_CXX_CLANG_TIDY "" CACHE STRING "" FORCE) # delete it
endif()
find_program(IWYU_EXE NAMES "include-what-you-use")
if(IWYU_EXE)
message(STATUS "include-what-you-use found: ${IWYU_EXE}")
if(NOT IWYU)
message(STATUS "include-what-you-use NOT ENABLED via 'IWYU' variable!")
set(CMAKE_CXX_INCLUDE_WHAT_YOU_USE "" CACHE STRING "" FORCE) # delete it
endif()
elseif(IWYU)
message(
SEND_ERROR "Cannot enable include-what-you-use, as executable not found!")
set(CMAKE_CXX_INCLUDE_WHAT_YOU_USE "" CACHE STRING "" FORCE) # delete it
else()
message(STATUS "include-what-you-use not found!")
set(CMAKE_CXX_INCLUDE_WHAT_YOU_USE "" CACHE STRING "" FORCE) # delete it
endif()

43
cmake/Modules/xslt.cmake Normal file
View File

@@ -0,0 +1,43 @@
#
# This Source Code Form is subject to the terms of the Mozilla Public
# License, v. 2.0. If a copy of the MPL was not distributed with this
# file, You can obtain one at https://mozilla.org/MPL/2.0/.
#
IF(NOT CMAKE_SET_XSLT)
set(CMAKE_SET_XSLT true)
find_program(CMAKE_XSLTPROC NAME xsltproc HINTS ${CMAKE_SYSTEM_PROGRAM_PATH})
if (CMAKE_XSLTPROC)
message(STATUS "XSLTPROC found")
else()
message(FATAL_ERROR "XSLTPROC not found")
endif()
function(xslt_generate)
set(OPTIONS )
set(SINGLE_VALUE_KEYWORDS OUT_FILE XML_FILE XSL_FILE)
set(MULTI_VALUE_KEYWORDS)
cmake_parse_arguments(XSLT
"${OPTIONS}"
"${SINGLE_VALUE_KEYWORDS}"
"${MULTI_VALUE_KEYWORDS}"
${ARGN})
message(STATUS "generating ${CMAKE_XSLTPROC} --nonet -o ${XSLT_OUT_FILE} ${XSLT_XSL_FILE} ${XSLT_XML_FILE} ")
execute_process(
COMMAND ${CMAKE_XSLTPROC} --nonet -o ${XSLT_OUT_FILE} ${XSLT_XSL_FILE} ${XSLT_XML_FILE}
WORKING_DIRECTORY ${CMAKE_SOURCE_DIR}
OUTPUT_VARIABLE OUT
ERROR_VARIABLE ERR
)
message(STATUS ${OUT})
message(STATUS ${ERR})
endfunction()
ENDIF()

View File

@@ -0,0 +1,27 @@
# the name of the target operating system
SET(CMAKE_SYSTEM_NAME Windows)
# which compilers to use for C and C++
SET(CMAKE_C_COMPILER x86_64-w64-mingw32-gcc-posix)
SET(CMAKE_CXX_COMPILER x86_64-w64-mingw32-g++-posix)
# here is the target environment located
SET(CMAKE_FIND_ROOT_PATH /usr/x86_64-w64-mingw32)
# adjust the default behaviour of the FIND_XXX() commands:
# search headers and libraries in the target environment, search
# programs in the host environment
set(CMAKE_FIND_ROOT_PATH_MODE_PROGRAM NEVER)
set(CMAKE_FIND_ROOT_PATH_MODE_LIBRARY ONLY)
set(CMAKE_FIND_ROOT_PATH_MODE_INCLUDE ONLY)
find_program(WINE_FOUND wine)
if(WINE_FOUND)
message(STATUS "WINE found")
SET(CMAKE_CROSSCOMPILING_EMULATOR wine)
endif()
if (CMAKE_CROSSCOMPILING)
message(STATUS "Crosscompiling for ${CMAKE_SYSTEM_NAME}")
endif()

View File

@@ -2,10 +2,16 @@
#include <SimCore/Position.hpp>
namespace SimCore { namespace SimCore {
class Entity { class Entity {
public:
Entity();
private:
Position position_;
}; };
} }

View File

@@ -0,0 +1,786 @@
// Generated by the protocol buffer compiler. DO NOT EDIT!
// source: Track.proto
#include "Track.pb.h"
#include <algorithm>
#include <google/protobuf/io/coded_stream.h>
#include <google/protobuf/extension_set.h>
#include <google/protobuf/wire_format_lite.h>
#include <google/protobuf/descriptor.h>
#include <google/protobuf/generated_message_reflection.h>
#include <google/protobuf/reflection_ops.h>
#include <google/protobuf/wire_format.h>
// @@protoc_insertion_point(includes)
#include <google/protobuf/port_def.inc>
PROTOBUF_PRAGMA_INIT_SEG
namespace _pb = ::PROTOBUF_NAMESPACE_ID;
namespace _pbi = _pb::internal;
namespace messages {
namespace track {
PROTOBUF_CONSTEXPR Track_EntityGeocentricPosition::Track_EntityGeocentricPosition(
::_pbi::ConstantInitialized): _impl_{
/*decltype(_impl_.x_)*/0
, /*decltype(_impl_.y_)*/0
, /*decltype(_impl_.z_)*/0
, /*decltype(_impl_._cached_size_)*/{}} {}
struct Track_EntityGeocentricPositionDefaultTypeInternal {
PROTOBUF_CONSTEXPR Track_EntityGeocentricPositionDefaultTypeInternal()
: _instance(::_pbi::ConstantInitialized{}) {}
~Track_EntityGeocentricPositionDefaultTypeInternal() {}
union {
Track_EntityGeocentricPosition _instance;
};
};
PROTOBUF_ATTRIBUTE_NO_DESTROY PROTOBUF_CONSTINIT PROTOBUF_ATTRIBUTE_INIT_PRIORITY1 Track_EntityGeocentricPositionDefaultTypeInternal _Track_EntityGeocentricPosition_default_instance_;
PROTOBUF_CONSTEXPR Track::Track(
::_pbi::ConstantInitialized): _impl_{
/*decltype(_impl_.geocentricposition_)*/nullptr
, /*decltype(_impl_.timestamp_)*/nullptr
, /*decltype(_impl_.trackno_)*/0u
, /*decltype(_impl_.external_)*/false
, /*decltype(_impl_.speed_)*/0
, /*decltype(_impl_.course_)*/0
, /*decltype(_impl_._cached_size_)*/{}} {}
struct TrackDefaultTypeInternal {
PROTOBUF_CONSTEXPR TrackDefaultTypeInternal()
: _instance(::_pbi::ConstantInitialized{}) {}
~TrackDefaultTypeInternal() {}
union {
Track _instance;
};
};
PROTOBUF_ATTRIBUTE_NO_DESTROY PROTOBUF_CONSTINIT PROTOBUF_ATTRIBUTE_INIT_PRIORITY1 TrackDefaultTypeInternal _Track_default_instance_;
} // namespace track
} // namespace messages
static ::_pb::Metadata file_level_metadata_Track_2eproto[2];
static constexpr ::_pb::EnumDescriptor const** file_level_enum_descriptors_Track_2eproto = nullptr;
static constexpr ::_pb::ServiceDescriptor const** file_level_service_descriptors_Track_2eproto = nullptr;
const uint32_t TableStruct_Track_2eproto::offsets[] PROTOBUF_SECTION_VARIABLE(protodesc_cold) = {
~0u, // no _has_bits_
PROTOBUF_FIELD_OFFSET(::messages::track::Track_EntityGeocentricPosition, _internal_metadata_),
~0u, // no _extensions_
~0u, // no _oneof_case_
~0u, // no _weak_field_map_
~0u, // no _inlined_string_donated_
PROTOBUF_FIELD_OFFSET(::messages::track::Track_EntityGeocentricPosition, _impl_.x_),
PROTOBUF_FIELD_OFFSET(::messages::track::Track_EntityGeocentricPosition, _impl_.y_),
PROTOBUF_FIELD_OFFSET(::messages::track::Track_EntityGeocentricPosition, _impl_.z_),
~0u, // no _has_bits_
PROTOBUF_FIELD_OFFSET(::messages::track::Track, _internal_metadata_),
~0u, // no _extensions_
~0u, // no _oneof_case_
~0u, // no _weak_field_map_
~0u, // no _inlined_string_donated_
PROTOBUF_FIELD_OFFSET(::messages::track::Track, _impl_.trackno_),
PROTOBUF_FIELD_OFFSET(::messages::track::Track, _impl_.external_),
PROTOBUF_FIELD_OFFSET(::messages::track::Track, _impl_.geocentricposition_),
PROTOBUF_FIELD_OFFSET(::messages::track::Track, _impl_.speed_),
PROTOBUF_FIELD_OFFSET(::messages::track::Track, _impl_.course_),
PROTOBUF_FIELD_OFFSET(::messages::track::Track, _impl_.timestamp_),
};
static const ::_pbi::MigrationSchema schemas[] PROTOBUF_SECTION_VARIABLE(protodesc_cold) = {
{ 0, -1, -1, sizeof(::messages::track::Track_EntityGeocentricPosition)},
{ 9, -1, -1, sizeof(::messages::track::Track)},
};
static const ::_pb::Message* const file_default_instances[] = {
&::messages::track::_Track_EntityGeocentricPosition_default_instance_._instance,
&::messages::track::_Track_default_instance_._instance,
};
const char descriptor_table_protodef_Track_2eproto[] PROTOBUF_SECTION_VARIABLE(protodesc_cold) =
"\n\013Track.proto\022\016messages.track\032\037google/pr"
"otobuf/timestamp.proto\"\201\002\n\005Track\022\017\n\007trac"
"kNo\030\001 \001(\r\022\020\n\010external\030\002 \001(\010\022J\n\022Geocentri"
"cPosition\030\003 \001(\0132..messages.track.Track.E"
"ntityGeocentricPosition\022\r\n\005Speed\030\004 \001(\001\022\016"
"\n\006Course\030\005 \001(\001\022-\n\ttimestamp\030\006 \001(\0132\032.goog"
"le.protobuf.Timestamp\032;\n\030EntityGeocentri"
"cPosition\022\t\n\001X\030\001 \001(\001\022\t\n\001Y\030\002 \001(\001\022\t\n\001Z\030\003 \001"
"(\001b\006proto3"
;
static const ::_pbi::DescriptorTable* const descriptor_table_Track_2eproto_deps[1] = {
&::descriptor_table_google_2fprotobuf_2ftimestamp_2eproto,
};
static ::_pbi::once_flag descriptor_table_Track_2eproto_once;
const ::_pbi::DescriptorTable descriptor_table_Track_2eproto = {
false, false, 330, descriptor_table_protodef_Track_2eproto,
"Track.proto",
&descriptor_table_Track_2eproto_once, descriptor_table_Track_2eproto_deps, 1, 2,
schemas, file_default_instances, TableStruct_Track_2eproto::offsets,
file_level_metadata_Track_2eproto, file_level_enum_descriptors_Track_2eproto,
file_level_service_descriptors_Track_2eproto,
};
PROTOBUF_ATTRIBUTE_WEAK const ::_pbi::DescriptorTable* descriptor_table_Track_2eproto_getter() {
return &descriptor_table_Track_2eproto;
}
// Force running AddDescriptors() at dynamic initialization time.
PROTOBUF_ATTRIBUTE_INIT_PRIORITY2 static ::_pbi::AddDescriptorsRunner dynamic_init_dummy_Track_2eproto(&descriptor_table_Track_2eproto);
namespace messages {
namespace track {
// ===================================================================
class Track_EntityGeocentricPosition::_Internal {
public:
};
Track_EntityGeocentricPosition::Track_EntityGeocentricPosition(::PROTOBUF_NAMESPACE_ID::Arena* arena,
bool is_message_owned)
: ::PROTOBUF_NAMESPACE_ID::Message(arena, is_message_owned) {
SharedCtor(arena, is_message_owned);
// @@protoc_insertion_point(arena_constructor:messages.track.Track.EntityGeocentricPosition)
}
Track_EntityGeocentricPosition::Track_EntityGeocentricPosition(const Track_EntityGeocentricPosition& from)
: ::PROTOBUF_NAMESPACE_ID::Message() {
Track_EntityGeocentricPosition* const _this = this; (void)_this;
new (&_impl_) Impl_{
decltype(_impl_.x_){}
, decltype(_impl_.y_){}
, decltype(_impl_.z_){}
, /*decltype(_impl_._cached_size_)*/{}};
_internal_metadata_.MergeFrom<::PROTOBUF_NAMESPACE_ID::UnknownFieldSet>(from._internal_metadata_);
::memcpy(&_impl_.x_, &from._impl_.x_,
static_cast<size_t>(reinterpret_cast<char*>(&_impl_.z_) -
reinterpret_cast<char*>(&_impl_.x_)) + sizeof(_impl_.z_));
// @@protoc_insertion_point(copy_constructor:messages.track.Track.EntityGeocentricPosition)
}
inline void Track_EntityGeocentricPosition::SharedCtor(
::_pb::Arena* arena, bool is_message_owned) {
(void)arena;
(void)is_message_owned;
new (&_impl_) Impl_{
decltype(_impl_.x_){0}
, decltype(_impl_.y_){0}
, decltype(_impl_.z_){0}
, /*decltype(_impl_._cached_size_)*/{}
};
}
Track_EntityGeocentricPosition::~Track_EntityGeocentricPosition() {
// @@protoc_insertion_point(destructor:messages.track.Track.EntityGeocentricPosition)
if (auto *arena = _internal_metadata_.DeleteReturnArena<::PROTOBUF_NAMESPACE_ID::UnknownFieldSet>()) {
(void)arena;
return;
}
SharedDtor();
}
inline void Track_EntityGeocentricPosition::SharedDtor() {
GOOGLE_DCHECK(GetArenaForAllocation() == nullptr);
}
void Track_EntityGeocentricPosition::SetCachedSize(int size) const {
_impl_._cached_size_.Set(size);
}
void Track_EntityGeocentricPosition::Clear() {
// @@protoc_insertion_point(message_clear_start:messages.track.Track.EntityGeocentricPosition)
uint32_t cached_has_bits = 0;
// Prevent compiler warnings about cached_has_bits being unused
(void) cached_has_bits;
::memset(&_impl_.x_, 0, static_cast<size_t>(
reinterpret_cast<char*>(&_impl_.z_) -
reinterpret_cast<char*>(&_impl_.x_)) + sizeof(_impl_.z_));
_internal_metadata_.Clear<::PROTOBUF_NAMESPACE_ID::UnknownFieldSet>();
}
const char* Track_EntityGeocentricPosition::_InternalParse(const char* ptr, ::_pbi::ParseContext* ctx) {
#define CHK_(x) if (PROTOBUF_PREDICT_FALSE(!(x))) goto failure
while (!ctx->Done(&ptr)) {
uint32_t tag;
ptr = ::_pbi::ReadTag(ptr, &tag);
switch (tag >> 3) {
// double X = 1;
case 1:
if (PROTOBUF_PREDICT_TRUE(static_cast<uint8_t>(tag) == 9)) {
_impl_.x_ = ::PROTOBUF_NAMESPACE_ID::internal::UnalignedLoad<double>(ptr);
ptr += sizeof(double);
} else
goto handle_unusual;
continue;
// double Y = 2;
case 2:
if (PROTOBUF_PREDICT_TRUE(static_cast<uint8_t>(tag) == 17)) {
_impl_.y_ = ::PROTOBUF_NAMESPACE_ID::internal::UnalignedLoad<double>(ptr);
ptr += sizeof(double);
} else
goto handle_unusual;
continue;
// double Z = 3;
case 3:
if (PROTOBUF_PREDICT_TRUE(static_cast<uint8_t>(tag) == 25)) {
_impl_.z_ = ::PROTOBUF_NAMESPACE_ID::internal::UnalignedLoad<double>(ptr);
ptr += sizeof(double);
} else
goto handle_unusual;
continue;
default:
goto handle_unusual;
} // switch
handle_unusual:
if ((tag == 0) || ((tag & 7) == 4)) {
CHK_(ptr);
ctx->SetLastTag(tag);
goto message_done;
}
ptr = UnknownFieldParse(
tag,
_internal_metadata_.mutable_unknown_fields<::PROTOBUF_NAMESPACE_ID::UnknownFieldSet>(),
ptr, ctx);
CHK_(ptr != nullptr);
} // while
message_done:
return ptr;
failure:
ptr = nullptr;
goto message_done;
#undef CHK_
}
uint8_t* Track_EntityGeocentricPosition::_InternalSerialize(
uint8_t* target, ::PROTOBUF_NAMESPACE_ID::io::EpsCopyOutputStream* stream) const {
// @@protoc_insertion_point(serialize_to_array_start:messages.track.Track.EntityGeocentricPosition)
uint32_t cached_has_bits = 0;
(void) cached_has_bits;
// double X = 1;
static_assert(sizeof(uint64_t) == sizeof(double), "Code assumes uint64_t and double are the same size.");
double tmp_x = this->_internal_x();
uint64_t raw_x;
memcpy(&raw_x, &tmp_x, sizeof(tmp_x));
if (raw_x != 0) {
target = stream->EnsureSpace(target);
target = ::_pbi::WireFormatLite::WriteDoubleToArray(1, this->_internal_x(), target);
}
// double Y = 2;
static_assert(sizeof(uint64_t) == sizeof(double), "Code assumes uint64_t and double are the same size.");
double tmp_y = this->_internal_y();
uint64_t raw_y;
memcpy(&raw_y, &tmp_y, sizeof(tmp_y));
if (raw_y != 0) {
target = stream->EnsureSpace(target);
target = ::_pbi::WireFormatLite::WriteDoubleToArray(2, this->_internal_y(), target);
}
// double Z = 3;
static_assert(sizeof(uint64_t) == sizeof(double), "Code assumes uint64_t and double are the same size.");
double tmp_z = this->_internal_z();
uint64_t raw_z;
memcpy(&raw_z, &tmp_z, sizeof(tmp_z));
if (raw_z != 0) {
target = stream->EnsureSpace(target);
target = ::_pbi::WireFormatLite::WriteDoubleToArray(3, this->_internal_z(), target);
}
if (PROTOBUF_PREDICT_FALSE(_internal_metadata_.have_unknown_fields())) {
target = ::_pbi::WireFormat::InternalSerializeUnknownFieldsToArray(
_internal_metadata_.unknown_fields<::PROTOBUF_NAMESPACE_ID::UnknownFieldSet>(::PROTOBUF_NAMESPACE_ID::UnknownFieldSet::default_instance), target, stream);
}
// @@protoc_insertion_point(serialize_to_array_end:messages.track.Track.EntityGeocentricPosition)
return target;
}
size_t Track_EntityGeocentricPosition::ByteSizeLong() const {
// @@protoc_insertion_point(message_byte_size_start:messages.track.Track.EntityGeocentricPosition)
size_t total_size = 0;
uint32_t cached_has_bits = 0;
// Prevent compiler warnings about cached_has_bits being unused
(void) cached_has_bits;
// double X = 1;
static_assert(sizeof(uint64_t) == sizeof(double), "Code assumes uint64_t and double are the same size.");
double tmp_x = this->_internal_x();
uint64_t raw_x;
memcpy(&raw_x, &tmp_x, sizeof(tmp_x));
if (raw_x != 0) {
total_size += 1 + 8;
}
// double Y = 2;
static_assert(sizeof(uint64_t) == sizeof(double), "Code assumes uint64_t and double are the same size.");
double tmp_y = this->_internal_y();
uint64_t raw_y;
memcpy(&raw_y, &tmp_y, sizeof(tmp_y));
if (raw_y != 0) {
total_size += 1 + 8;
}
// double Z = 3;
static_assert(sizeof(uint64_t) == sizeof(double), "Code assumes uint64_t and double are the same size.");
double tmp_z = this->_internal_z();
uint64_t raw_z;
memcpy(&raw_z, &tmp_z, sizeof(tmp_z));
if (raw_z != 0) {
total_size += 1 + 8;
}
return MaybeComputeUnknownFieldsSize(total_size, &_impl_._cached_size_);
}
const ::PROTOBUF_NAMESPACE_ID::Message::ClassData Track_EntityGeocentricPosition::_class_data_ = {
::PROTOBUF_NAMESPACE_ID::Message::CopyWithSourceCheck,
Track_EntityGeocentricPosition::MergeImpl
};
const ::PROTOBUF_NAMESPACE_ID::Message::ClassData*Track_EntityGeocentricPosition::GetClassData() const { return &_class_data_; }
void Track_EntityGeocentricPosition::MergeImpl(::PROTOBUF_NAMESPACE_ID::Message& to_msg, const ::PROTOBUF_NAMESPACE_ID::Message& from_msg) {
auto* const _this = static_cast<Track_EntityGeocentricPosition*>(&to_msg);
auto& from = static_cast<const Track_EntityGeocentricPosition&>(from_msg);
// @@protoc_insertion_point(class_specific_merge_from_start:messages.track.Track.EntityGeocentricPosition)
GOOGLE_DCHECK_NE(&from, _this);
uint32_t cached_has_bits = 0;
(void) cached_has_bits;
static_assert(sizeof(uint64_t) == sizeof(double), "Code assumes uint64_t and double are the same size.");
double tmp_x = from._internal_x();
uint64_t raw_x;
memcpy(&raw_x, &tmp_x, sizeof(tmp_x));
if (raw_x != 0) {
_this->_internal_set_x(from._internal_x());
}
static_assert(sizeof(uint64_t) == sizeof(double), "Code assumes uint64_t and double are the same size.");
double tmp_y = from._internal_y();
uint64_t raw_y;
memcpy(&raw_y, &tmp_y, sizeof(tmp_y));
if (raw_y != 0) {
_this->_internal_set_y(from._internal_y());
}
static_assert(sizeof(uint64_t) == sizeof(double), "Code assumes uint64_t and double are the same size.");
double tmp_z = from._internal_z();
uint64_t raw_z;
memcpy(&raw_z, &tmp_z, sizeof(tmp_z));
if (raw_z != 0) {
_this->_internal_set_z(from._internal_z());
}
_this->_internal_metadata_.MergeFrom<::PROTOBUF_NAMESPACE_ID::UnknownFieldSet>(from._internal_metadata_);
}
void Track_EntityGeocentricPosition::CopyFrom(const Track_EntityGeocentricPosition& from) {
// @@protoc_insertion_point(class_specific_copy_from_start:messages.track.Track.EntityGeocentricPosition)
if (&from == this) return;
Clear();
MergeFrom(from);
}
bool Track_EntityGeocentricPosition::IsInitialized() const {
return true;
}
void Track_EntityGeocentricPosition::InternalSwap(Track_EntityGeocentricPosition* other) {
using std::swap;
_internal_metadata_.InternalSwap(&other->_internal_metadata_);
::PROTOBUF_NAMESPACE_ID::internal::memswap<
PROTOBUF_FIELD_OFFSET(Track_EntityGeocentricPosition, _impl_.z_)
+ sizeof(Track_EntityGeocentricPosition::_impl_.z_)
- PROTOBUF_FIELD_OFFSET(Track_EntityGeocentricPosition, _impl_.x_)>(
reinterpret_cast<char*>(&_impl_.x_),
reinterpret_cast<char*>(&other->_impl_.x_));
}
::PROTOBUF_NAMESPACE_ID::Metadata Track_EntityGeocentricPosition::GetMetadata() const {
return ::_pbi::AssignDescriptors(
&descriptor_table_Track_2eproto_getter, &descriptor_table_Track_2eproto_once,
file_level_metadata_Track_2eproto[0]);
}
// ===================================================================
class Track::_Internal {
public:
static const ::messages::track::Track_EntityGeocentricPosition& geocentricposition(const Track* msg);
static const ::PROTOBUF_NAMESPACE_ID::Timestamp& timestamp(const Track* msg);
};
const ::messages::track::Track_EntityGeocentricPosition&
Track::_Internal::geocentricposition(const Track* msg) {
return *msg->_impl_.geocentricposition_;
}
const ::PROTOBUF_NAMESPACE_ID::Timestamp&
Track::_Internal::timestamp(const Track* msg) {
return *msg->_impl_.timestamp_;
}
void Track::clear_timestamp() {
if (GetArenaForAllocation() == nullptr && _impl_.timestamp_ != nullptr) {
delete _impl_.timestamp_;
}
_impl_.timestamp_ = nullptr;
}
Track::Track(::PROTOBUF_NAMESPACE_ID::Arena* arena,
bool is_message_owned)
: ::PROTOBUF_NAMESPACE_ID::Message(arena, is_message_owned) {
SharedCtor(arena, is_message_owned);
// @@protoc_insertion_point(arena_constructor:messages.track.Track)
}
Track::Track(const Track& from)
: ::PROTOBUF_NAMESPACE_ID::Message() {
Track* const _this = this; (void)_this;
new (&_impl_) Impl_{
decltype(_impl_.geocentricposition_){nullptr}
, decltype(_impl_.timestamp_){nullptr}
, decltype(_impl_.trackno_){}
, decltype(_impl_.external_){}
, decltype(_impl_.speed_){}
, decltype(_impl_.course_){}
, /*decltype(_impl_._cached_size_)*/{}};
_internal_metadata_.MergeFrom<::PROTOBUF_NAMESPACE_ID::UnknownFieldSet>(from._internal_metadata_);
if (from._internal_has_geocentricposition()) {
_this->_impl_.geocentricposition_ = new ::messages::track::Track_EntityGeocentricPosition(*from._impl_.geocentricposition_);
}
if (from._internal_has_timestamp()) {
_this->_impl_.timestamp_ = new ::PROTOBUF_NAMESPACE_ID::Timestamp(*from._impl_.timestamp_);
}
::memcpy(&_impl_.trackno_, &from._impl_.trackno_,
static_cast<size_t>(reinterpret_cast<char*>(&_impl_.course_) -
reinterpret_cast<char*>(&_impl_.trackno_)) + sizeof(_impl_.course_));
// @@protoc_insertion_point(copy_constructor:messages.track.Track)
}
inline void Track::SharedCtor(
::_pb::Arena* arena, bool is_message_owned) {
(void)arena;
(void)is_message_owned;
new (&_impl_) Impl_{
decltype(_impl_.geocentricposition_){nullptr}
, decltype(_impl_.timestamp_){nullptr}
, decltype(_impl_.trackno_){0u}
, decltype(_impl_.external_){false}
, decltype(_impl_.speed_){0}
, decltype(_impl_.course_){0}
, /*decltype(_impl_._cached_size_)*/{}
};
}
Track::~Track() {
// @@protoc_insertion_point(destructor:messages.track.Track)
if (auto *arena = _internal_metadata_.DeleteReturnArena<::PROTOBUF_NAMESPACE_ID::UnknownFieldSet>()) {
(void)arena;
return;
}
SharedDtor();
}
inline void Track::SharedDtor() {
GOOGLE_DCHECK(GetArenaForAllocation() == nullptr);
if (this != internal_default_instance()) delete _impl_.geocentricposition_;
if (this != internal_default_instance()) delete _impl_.timestamp_;
}
void Track::SetCachedSize(int size) const {
_impl_._cached_size_.Set(size);
}
void Track::Clear() {
// @@protoc_insertion_point(message_clear_start:messages.track.Track)
uint32_t cached_has_bits = 0;
// Prevent compiler warnings about cached_has_bits being unused
(void) cached_has_bits;
if (GetArenaForAllocation() == nullptr && _impl_.geocentricposition_ != nullptr) {
delete _impl_.geocentricposition_;
}
_impl_.geocentricposition_ = nullptr;
if (GetArenaForAllocation() == nullptr && _impl_.timestamp_ != nullptr) {
delete _impl_.timestamp_;
}
_impl_.timestamp_ = nullptr;
::memset(&_impl_.trackno_, 0, static_cast<size_t>(
reinterpret_cast<char*>(&_impl_.course_) -
reinterpret_cast<char*>(&_impl_.trackno_)) + sizeof(_impl_.course_));
_internal_metadata_.Clear<::PROTOBUF_NAMESPACE_ID::UnknownFieldSet>();
}
const char* Track::_InternalParse(const char* ptr, ::_pbi::ParseContext* ctx) {
#define CHK_(x) if (PROTOBUF_PREDICT_FALSE(!(x))) goto failure
while (!ctx->Done(&ptr)) {
uint32_t tag;
ptr = ::_pbi::ReadTag(ptr, &tag);
switch (tag >> 3) {
// uint32 trackNo = 1;
case 1:
if (PROTOBUF_PREDICT_TRUE(static_cast<uint8_t>(tag) == 8)) {
_impl_.trackno_ = ::PROTOBUF_NAMESPACE_ID::internal::ReadVarint32(&ptr);
CHK_(ptr);
} else
goto handle_unusual;
continue;
// bool external = 2;
case 2:
if (PROTOBUF_PREDICT_TRUE(static_cast<uint8_t>(tag) == 16)) {
_impl_.external_ = ::PROTOBUF_NAMESPACE_ID::internal::ReadVarint64(&ptr);
CHK_(ptr);
} else
goto handle_unusual;
continue;
// .messages.track.Track.EntityGeocentricPosition GeocentricPosition = 3;
case 3:
if (PROTOBUF_PREDICT_TRUE(static_cast<uint8_t>(tag) == 26)) {
ptr = ctx->ParseMessage(_internal_mutable_geocentricposition(), ptr);
CHK_(ptr);
} else
goto handle_unusual;
continue;
// double Speed = 4;
case 4:
if (PROTOBUF_PREDICT_TRUE(static_cast<uint8_t>(tag) == 33)) {
_impl_.speed_ = ::PROTOBUF_NAMESPACE_ID::internal::UnalignedLoad<double>(ptr);
ptr += sizeof(double);
} else
goto handle_unusual;
continue;
// double Course = 5;
case 5:
if (PROTOBUF_PREDICT_TRUE(static_cast<uint8_t>(tag) == 41)) {
_impl_.course_ = ::PROTOBUF_NAMESPACE_ID::internal::UnalignedLoad<double>(ptr);
ptr += sizeof(double);
} else
goto handle_unusual;
continue;
// .google.protobuf.Timestamp timestamp = 6;
case 6:
if (PROTOBUF_PREDICT_TRUE(static_cast<uint8_t>(tag) == 50)) {
ptr = ctx->ParseMessage(_internal_mutable_timestamp(), ptr);
CHK_(ptr);
} else
goto handle_unusual;
continue;
default:
goto handle_unusual;
} // switch
handle_unusual:
if ((tag == 0) || ((tag & 7) == 4)) {
CHK_(ptr);
ctx->SetLastTag(tag);
goto message_done;
}
ptr = UnknownFieldParse(
tag,
_internal_metadata_.mutable_unknown_fields<::PROTOBUF_NAMESPACE_ID::UnknownFieldSet>(),
ptr, ctx);
CHK_(ptr != nullptr);
} // while
message_done:
return ptr;
failure:
ptr = nullptr;
goto message_done;
#undef CHK_
}
uint8_t* Track::_InternalSerialize(
uint8_t* target, ::PROTOBUF_NAMESPACE_ID::io::EpsCopyOutputStream* stream) const {
// @@protoc_insertion_point(serialize_to_array_start:messages.track.Track)
uint32_t cached_has_bits = 0;
(void) cached_has_bits;
// uint32 trackNo = 1;
if (this->_internal_trackno() != 0) {
target = stream->EnsureSpace(target);
target = ::_pbi::WireFormatLite::WriteUInt32ToArray(1, this->_internal_trackno(), target);
}
// bool external = 2;
if (this->_internal_external() != 0) {
target = stream->EnsureSpace(target);
target = ::_pbi::WireFormatLite::WriteBoolToArray(2, this->_internal_external(), target);
}
// .messages.track.Track.EntityGeocentricPosition GeocentricPosition = 3;
if (this->_internal_has_geocentricposition()) {
target = ::PROTOBUF_NAMESPACE_ID::internal::WireFormatLite::
InternalWriteMessage(3, _Internal::geocentricposition(this),
_Internal::geocentricposition(this).GetCachedSize(), target, stream);
}
// double Speed = 4;
static_assert(sizeof(uint64_t) == sizeof(double), "Code assumes uint64_t and double are the same size.");
double tmp_speed = this->_internal_speed();
uint64_t raw_speed;
memcpy(&raw_speed, &tmp_speed, sizeof(tmp_speed));
if (raw_speed != 0) {
target = stream->EnsureSpace(target);
target = ::_pbi::WireFormatLite::WriteDoubleToArray(4, this->_internal_speed(), target);
}
// double Course = 5;
static_assert(sizeof(uint64_t) == sizeof(double), "Code assumes uint64_t and double are the same size.");
double tmp_course = this->_internal_course();
uint64_t raw_course;
memcpy(&raw_course, &tmp_course, sizeof(tmp_course));
if (raw_course != 0) {
target = stream->EnsureSpace(target);
target = ::_pbi::WireFormatLite::WriteDoubleToArray(5, this->_internal_course(), target);
}
// .google.protobuf.Timestamp timestamp = 6;
if (this->_internal_has_timestamp()) {
target = ::PROTOBUF_NAMESPACE_ID::internal::WireFormatLite::
InternalWriteMessage(6, _Internal::timestamp(this),
_Internal::timestamp(this).GetCachedSize(), target, stream);
}
if (PROTOBUF_PREDICT_FALSE(_internal_metadata_.have_unknown_fields())) {
target = ::_pbi::WireFormat::InternalSerializeUnknownFieldsToArray(
_internal_metadata_.unknown_fields<::PROTOBUF_NAMESPACE_ID::UnknownFieldSet>(::PROTOBUF_NAMESPACE_ID::UnknownFieldSet::default_instance), target, stream);
}
// @@protoc_insertion_point(serialize_to_array_end:messages.track.Track)
return target;
}
size_t Track::ByteSizeLong() const {
// @@protoc_insertion_point(message_byte_size_start:messages.track.Track)
size_t total_size = 0;
uint32_t cached_has_bits = 0;
// Prevent compiler warnings about cached_has_bits being unused
(void) cached_has_bits;
// .messages.track.Track.EntityGeocentricPosition GeocentricPosition = 3;
if (this->_internal_has_geocentricposition()) {
total_size += 1 +
::PROTOBUF_NAMESPACE_ID::internal::WireFormatLite::MessageSize(
*_impl_.geocentricposition_);
}
// .google.protobuf.Timestamp timestamp = 6;
if (this->_internal_has_timestamp()) {
total_size += 1 +
::PROTOBUF_NAMESPACE_ID::internal::WireFormatLite::MessageSize(
*_impl_.timestamp_);
}
// uint32 trackNo = 1;
if (this->_internal_trackno() != 0) {
total_size += ::_pbi::WireFormatLite::UInt32SizePlusOne(this->_internal_trackno());
}
// bool external = 2;
if (this->_internal_external() != 0) {
total_size += 1 + 1;
}
// double Speed = 4;
static_assert(sizeof(uint64_t) == sizeof(double), "Code assumes uint64_t and double are the same size.");
double tmp_speed = this->_internal_speed();
uint64_t raw_speed;
memcpy(&raw_speed, &tmp_speed, sizeof(tmp_speed));
if (raw_speed != 0) {
total_size += 1 + 8;
}
// double Course = 5;
static_assert(sizeof(uint64_t) == sizeof(double), "Code assumes uint64_t and double are the same size.");
double tmp_course = this->_internal_course();
uint64_t raw_course;
memcpy(&raw_course, &tmp_course, sizeof(tmp_course));
if (raw_course != 0) {
total_size += 1 + 8;
}
return MaybeComputeUnknownFieldsSize(total_size, &_impl_._cached_size_);
}
const ::PROTOBUF_NAMESPACE_ID::Message::ClassData Track::_class_data_ = {
::PROTOBUF_NAMESPACE_ID::Message::CopyWithSourceCheck,
Track::MergeImpl
};
const ::PROTOBUF_NAMESPACE_ID::Message::ClassData*Track::GetClassData() const { return &_class_data_; }
void Track::MergeImpl(::PROTOBUF_NAMESPACE_ID::Message& to_msg, const ::PROTOBUF_NAMESPACE_ID::Message& from_msg) {
auto* const _this = static_cast<Track*>(&to_msg);
auto& from = static_cast<const Track&>(from_msg);
// @@protoc_insertion_point(class_specific_merge_from_start:messages.track.Track)
GOOGLE_DCHECK_NE(&from, _this);
uint32_t cached_has_bits = 0;
(void) cached_has_bits;
if (from._internal_has_geocentricposition()) {
_this->_internal_mutable_geocentricposition()->::messages::track::Track_EntityGeocentricPosition::MergeFrom(
from._internal_geocentricposition());
}
if (from._internal_has_timestamp()) {
_this->_internal_mutable_timestamp()->::PROTOBUF_NAMESPACE_ID::Timestamp::MergeFrom(
from._internal_timestamp());
}
if (from._internal_trackno() != 0) {
_this->_internal_set_trackno(from._internal_trackno());
}
if (from._internal_external() != 0) {
_this->_internal_set_external(from._internal_external());
}
static_assert(sizeof(uint64_t) == sizeof(double), "Code assumes uint64_t and double are the same size.");
double tmp_speed = from._internal_speed();
uint64_t raw_speed;
memcpy(&raw_speed, &tmp_speed, sizeof(tmp_speed));
if (raw_speed != 0) {
_this->_internal_set_speed(from._internal_speed());
}
static_assert(sizeof(uint64_t) == sizeof(double), "Code assumes uint64_t and double are the same size.");
double tmp_course = from._internal_course();
uint64_t raw_course;
memcpy(&raw_course, &tmp_course, sizeof(tmp_course));
if (raw_course != 0) {
_this->_internal_set_course(from._internal_course());
}
_this->_internal_metadata_.MergeFrom<::PROTOBUF_NAMESPACE_ID::UnknownFieldSet>(from._internal_metadata_);
}
void Track::CopyFrom(const Track& from) {
// @@protoc_insertion_point(class_specific_copy_from_start:messages.track.Track)
if (&from == this) return;
Clear();
MergeFrom(from);
}
bool Track::IsInitialized() const {
return true;
}
void Track::InternalSwap(Track* other) {
using std::swap;
_internal_metadata_.InternalSwap(&other->_internal_metadata_);
::PROTOBUF_NAMESPACE_ID::internal::memswap<
PROTOBUF_FIELD_OFFSET(Track, _impl_.course_)
+ sizeof(Track::_impl_.course_)
- PROTOBUF_FIELD_OFFSET(Track, _impl_.geocentricposition_)>(
reinterpret_cast<char*>(&_impl_.geocentricposition_),
reinterpret_cast<char*>(&other->_impl_.geocentricposition_));
}
::PROTOBUF_NAMESPACE_ID::Metadata Track::GetMetadata() const {
return ::_pbi::AssignDescriptors(
&descriptor_table_Track_2eproto_getter, &descriptor_table_Track_2eproto_once,
file_level_metadata_Track_2eproto[1]);
}
// @@protoc_insertion_point(namespace_scope)
} // namespace track
} // namespace messages
PROTOBUF_NAMESPACE_OPEN
template<> PROTOBUF_NOINLINE ::messages::track::Track_EntityGeocentricPosition*
Arena::CreateMaybeMessage< ::messages::track::Track_EntityGeocentricPosition >(Arena* arena) {
return Arena::CreateMessageInternal< ::messages::track::Track_EntityGeocentricPosition >(arena);
}
template<> PROTOBUF_NOINLINE ::messages::track::Track*
Arena::CreateMaybeMessage< ::messages::track::Track >(Arena* arena) {
return Arena::CreateMessageInternal< ::messages::track::Track >(arena);
}
PROTOBUF_NAMESPACE_CLOSE
// @@protoc_insertion_point(global_scope)
#include <google/protobuf/port_undef.inc>

View File

@@ -0,0 +1,802 @@
// Generated by the protocol buffer compiler. DO NOT EDIT!
// source: Track.proto
#ifndef GOOGLE_PROTOBUF_INCLUDED_Track_2eproto
#define GOOGLE_PROTOBUF_INCLUDED_Track_2eproto
#include <limits>
#include <string>
#include <google/protobuf/port_def.inc>
#if PROTOBUF_VERSION < 3021000
#error This file was generated by a newer version of protoc which is
#error incompatible with your Protocol Buffer headers. Please update
#error your headers.
#endif
#if 3021012 < PROTOBUF_MIN_PROTOC_VERSION
#error This file was generated by an older version of protoc which is
#error incompatible with your Protocol Buffer headers. Please
#error regenerate this file with a newer version of protoc.
#endif
#include <google/protobuf/port_undef.inc>
#include <google/protobuf/io/coded_stream.h>
#include <google/protobuf/arena.h>
#include <google/protobuf/arenastring.h>
#include <google/protobuf/generated_message_util.h>
#include <google/protobuf/metadata_lite.h>
#include <google/protobuf/generated_message_reflection.h>
#include <google/protobuf/message.h>
#include <google/protobuf/repeated_field.h> // IWYU pragma: export
#include <google/protobuf/extension_set.h> // IWYU pragma: export
#include <google/protobuf/unknown_field_set.h>
#include <google/protobuf/timestamp.pb.h>
// @@protoc_insertion_point(includes)
#include <google/protobuf/port_def.inc>
#define PROTOBUF_INTERNAL_EXPORT_Track_2eproto
PROTOBUF_NAMESPACE_OPEN
namespace internal {
class AnyMetadata;
} // namespace internal
PROTOBUF_NAMESPACE_CLOSE
// Internal implementation detail -- do not use these members.
struct TableStruct_Track_2eproto {
static const uint32_t offsets[];
};
extern const ::PROTOBUF_NAMESPACE_ID::internal::DescriptorTable descriptor_table_Track_2eproto;
namespace messages {
namespace track {
class Track;
struct TrackDefaultTypeInternal;
extern TrackDefaultTypeInternal _Track_default_instance_;
class Track_EntityGeocentricPosition;
struct Track_EntityGeocentricPositionDefaultTypeInternal;
extern Track_EntityGeocentricPositionDefaultTypeInternal _Track_EntityGeocentricPosition_default_instance_;
} // namespace track
} // namespace messages
PROTOBUF_NAMESPACE_OPEN
template<> ::messages::track::Track* Arena::CreateMaybeMessage<::messages::track::Track>(Arena*);
template<> ::messages::track::Track_EntityGeocentricPosition* Arena::CreateMaybeMessage<::messages::track::Track_EntityGeocentricPosition>(Arena*);
PROTOBUF_NAMESPACE_CLOSE
namespace messages {
namespace track {
// ===================================================================
class Track_EntityGeocentricPosition final :
public ::PROTOBUF_NAMESPACE_ID::Message /* @@protoc_insertion_point(class_definition:messages.track.Track.EntityGeocentricPosition) */ {
public:
inline Track_EntityGeocentricPosition() : Track_EntityGeocentricPosition(nullptr) {}
~Track_EntityGeocentricPosition() override;
explicit PROTOBUF_CONSTEXPR Track_EntityGeocentricPosition(::PROTOBUF_NAMESPACE_ID::internal::ConstantInitialized);
Track_EntityGeocentricPosition(const Track_EntityGeocentricPosition& from);
Track_EntityGeocentricPosition(Track_EntityGeocentricPosition&& from) noexcept
: Track_EntityGeocentricPosition() {
*this = ::std::move(from);
}
inline Track_EntityGeocentricPosition& operator=(const Track_EntityGeocentricPosition& from) {
CopyFrom(from);
return *this;
}
inline Track_EntityGeocentricPosition& operator=(Track_EntityGeocentricPosition&& from) noexcept {
if (this == &from) return *this;
if (GetOwningArena() == from.GetOwningArena()
#ifdef PROTOBUF_FORCE_COPY_IN_MOVE
&& GetOwningArena() != nullptr
#endif // !PROTOBUF_FORCE_COPY_IN_MOVE
) {
InternalSwap(&from);
} else {
CopyFrom(from);
}
return *this;
}
static const ::PROTOBUF_NAMESPACE_ID::Descriptor* descriptor() {
return GetDescriptor();
}
static const ::PROTOBUF_NAMESPACE_ID::Descriptor* GetDescriptor() {
return default_instance().GetMetadata().descriptor;
}
static const ::PROTOBUF_NAMESPACE_ID::Reflection* GetReflection() {
return default_instance().GetMetadata().reflection;
}
static const Track_EntityGeocentricPosition& default_instance() {
return *internal_default_instance();
}
static inline const Track_EntityGeocentricPosition* internal_default_instance() {
return reinterpret_cast<const Track_EntityGeocentricPosition*>(
&_Track_EntityGeocentricPosition_default_instance_);
}
static constexpr int kIndexInFileMessages =
0;
friend void swap(Track_EntityGeocentricPosition& a, Track_EntityGeocentricPosition& b) {
a.Swap(&b);
}
inline void Swap(Track_EntityGeocentricPosition* other) {
if (other == this) return;
#ifdef PROTOBUF_FORCE_COPY_IN_SWAP
if (GetOwningArena() != nullptr &&
GetOwningArena() == other->GetOwningArena()) {
#else // PROTOBUF_FORCE_COPY_IN_SWAP
if (GetOwningArena() == other->GetOwningArena()) {
#endif // !PROTOBUF_FORCE_COPY_IN_SWAP
InternalSwap(other);
} else {
::PROTOBUF_NAMESPACE_ID::internal::GenericSwap(this, other);
}
}
void UnsafeArenaSwap(Track_EntityGeocentricPosition* other) {
if (other == this) return;
GOOGLE_DCHECK(GetOwningArena() == other->GetOwningArena());
InternalSwap(other);
}
// implements Message ----------------------------------------------
Track_EntityGeocentricPosition* New(::PROTOBUF_NAMESPACE_ID::Arena* arena = nullptr) const final {
return CreateMaybeMessage<Track_EntityGeocentricPosition>(arena);
}
using ::PROTOBUF_NAMESPACE_ID::Message::CopyFrom;
void CopyFrom(const Track_EntityGeocentricPosition& from);
using ::PROTOBUF_NAMESPACE_ID::Message::MergeFrom;
void MergeFrom( const Track_EntityGeocentricPosition& from) {
Track_EntityGeocentricPosition::MergeImpl(*this, from);
}
private:
static void MergeImpl(::PROTOBUF_NAMESPACE_ID::Message& to_msg, const ::PROTOBUF_NAMESPACE_ID::Message& from_msg);
public:
PROTOBUF_ATTRIBUTE_REINITIALIZES void Clear() final;
bool IsInitialized() const final;
size_t ByteSizeLong() const final;
const char* _InternalParse(const char* ptr, ::PROTOBUF_NAMESPACE_ID::internal::ParseContext* ctx) final;
uint8_t* _InternalSerialize(
uint8_t* target, ::PROTOBUF_NAMESPACE_ID::io::EpsCopyOutputStream* stream) const final;
int GetCachedSize() const final { return _impl_._cached_size_.Get(); }
private:
void SharedCtor(::PROTOBUF_NAMESPACE_ID::Arena* arena, bool is_message_owned);
void SharedDtor();
void SetCachedSize(int size) const final;
void InternalSwap(Track_EntityGeocentricPosition* other);
private:
friend class ::PROTOBUF_NAMESPACE_ID::internal::AnyMetadata;
static ::PROTOBUF_NAMESPACE_ID::StringPiece FullMessageName() {
return "messages.track.Track.EntityGeocentricPosition";
}
protected:
explicit Track_EntityGeocentricPosition(::PROTOBUF_NAMESPACE_ID::Arena* arena,
bool is_message_owned = false);
public:
static const ClassData _class_data_;
const ::PROTOBUF_NAMESPACE_ID::Message::ClassData*GetClassData() const final;
::PROTOBUF_NAMESPACE_ID::Metadata GetMetadata() const final;
// nested types ----------------------------------------------------
// accessors -------------------------------------------------------
enum : int {
kXFieldNumber = 1,
kYFieldNumber = 2,
kZFieldNumber = 3,
};
// double X = 1;
void clear_x();
double x() const;
void set_x(double value);
private:
double _internal_x() const;
void _internal_set_x(double value);
public:
// double Y = 2;
void clear_y();
double y() const;
void set_y(double value);
private:
double _internal_y() const;
void _internal_set_y(double value);
public:
// double Z = 3;
void clear_z();
double z() const;
void set_z(double value);
private:
double _internal_z() const;
void _internal_set_z(double value);
public:
// @@protoc_insertion_point(class_scope:messages.track.Track.EntityGeocentricPosition)
private:
class _Internal;
template <typename T> friend class ::PROTOBUF_NAMESPACE_ID::Arena::InternalHelper;
typedef void InternalArenaConstructable_;
typedef void DestructorSkippable_;
struct Impl_ {
double x_;
double y_;
double z_;
mutable ::PROTOBUF_NAMESPACE_ID::internal::CachedSize _cached_size_;
};
union { Impl_ _impl_; };
friend struct ::TableStruct_Track_2eproto;
};
// -------------------------------------------------------------------
class Track final :
public ::PROTOBUF_NAMESPACE_ID::Message /* @@protoc_insertion_point(class_definition:messages.track.Track) */ {
public:
inline Track() : Track(nullptr) {}
~Track() override;
explicit PROTOBUF_CONSTEXPR Track(::PROTOBUF_NAMESPACE_ID::internal::ConstantInitialized);
Track(const Track& from);
Track(Track&& from) noexcept
: Track() {
*this = ::std::move(from);
}
inline Track& operator=(const Track& from) {
CopyFrom(from);
return *this;
}
inline Track& operator=(Track&& from) noexcept {
if (this == &from) return *this;
if (GetOwningArena() == from.GetOwningArena()
#ifdef PROTOBUF_FORCE_COPY_IN_MOVE
&& GetOwningArena() != nullptr
#endif // !PROTOBUF_FORCE_COPY_IN_MOVE
) {
InternalSwap(&from);
} else {
CopyFrom(from);
}
return *this;
}
static const ::PROTOBUF_NAMESPACE_ID::Descriptor* descriptor() {
return GetDescriptor();
}
static const ::PROTOBUF_NAMESPACE_ID::Descriptor* GetDescriptor() {
return default_instance().GetMetadata().descriptor;
}
static const ::PROTOBUF_NAMESPACE_ID::Reflection* GetReflection() {
return default_instance().GetMetadata().reflection;
}
static const Track& default_instance() {
return *internal_default_instance();
}
static inline const Track* internal_default_instance() {
return reinterpret_cast<const Track*>(
&_Track_default_instance_);
}
static constexpr int kIndexInFileMessages =
1;
friend void swap(Track& a, Track& b) {
a.Swap(&b);
}
inline void Swap(Track* other) {
if (other == this) return;
#ifdef PROTOBUF_FORCE_COPY_IN_SWAP
if (GetOwningArena() != nullptr &&
GetOwningArena() == other->GetOwningArena()) {
#else // PROTOBUF_FORCE_COPY_IN_SWAP
if (GetOwningArena() == other->GetOwningArena()) {
#endif // !PROTOBUF_FORCE_COPY_IN_SWAP
InternalSwap(other);
} else {
::PROTOBUF_NAMESPACE_ID::internal::GenericSwap(this, other);
}
}
void UnsafeArenaSwap(Track* other) {
if (other == this) return;
GOOGLE_DCHECK(GetOwningArena() == other->GetOwningArena());
InternalSwap(other);
}
// implements Message ----------------------------------------------
Track* New(::PROTOBUF_NAMESPACE_ID::Arena* arena = nullptr) const final {
return CreateMaybeMessage<Track>(arena);
}
using ::PROTOBUF_NAMESPACE_ID::Message::CopyFrom;
void CopyFrom(const Track& from);
using ::PROTOBUF_NAMESPACE_ID::Message::MergeFrom;
void MergeFrom( const Track& from) {
Track::MergeImpl(*this, from);
}
private:
static void MergeImpl(::PROTOBUF_NAMESPACE_ID::Message& to_msg, const ::PROTOBUF_NAMESPACE_ID::Message& from_msg);
public:
PROTOBUF_ATTRIBUTE_REINITIALIZES void Clear() final;
bool IsInitialized() const final;
size_t ByteSizeLong() const final;
const char* _InternalParse(const char* ptr, ::PROTOBUF_NAMESPACE_ID::internal::ParseContext* ctx) final;
uint8_t* _InternalSerialize(
uint8_t* target, ::PROTOBUF_NAMESPACE_ID::io::EpsCopyOutputStream* stream) const final;
int GetCachedSize() const final { return _impl_._cached_size_.Get(); }
private:
void SharedCtor(::PROTOBUF_NAMESPACE_ID::Arena* arena, bool is_message_owned);
void SharedDtor();
void SetCachedSize(int size) const final;
void InternalSwap(Track* other);
private:
friend class ::PROTOBUF_NAMESPACE_ID::internal::AnyMetadata;
static ::PROTOBUF_NAMESPACE_ID::StringPiece FullMessageName() {
return "messages.track.Track";
}
protected:
explicit Track(::PROTOBUF_NAMESPACE_ID::Arena* arena,
bool is_message_owned = false);
public:
static const ClassData _class_data_;
const ::PROTOBUF_NAMESPACE_ID::Message::ClassData*GetClassData() const final;
::PROTOBUF_NAMESPACE_ID::Metadata GetMetadata() const final;
// nested types ----------------------------------------------------
typedef Track_EntityGeocentricPosition EntityGeocentricPosition;
// accessors -------------------------------------------------------
enum : int {
kGeocentricPositionFieldNumber = 3,
kTimestampFieldNumber = 6,
kTrackNoFieldNumber = 1,
kExternalFieldNumber = 2,
kSpeedFieldNumber = 4,
kCourseFieldNumber = 5,
};
// .messages.track.Track.EntityGeocentricPosition GeocentricPosition = 3;
bool has_geocentricposition() const;
private:
bool _internal_has_geocentricposition() const;
public:
void clear_geocentricposition();
const ::messages::track::Track_EntityGeocentricPosition& geocentricposition() const;
PROTOBUF_NODISCARD ::messages::track::Track_EntityGeocentricPosition* release_geocentricposition();
::messages::track::Track_EntityGeocentricPosition* mutable_geocentricposition();
void set_allocated_geocentricposition(::messages::track::Track_EntityGeocentricPosition* geocentricposition);
private:
const ::messages::track::Track_EntityGeocentricPosition& _internal_geocentricposition() const;
::messages::track::Track_EntityGeocentricPosition* _internal_mutable_geocentricposition();
public:
void unsafe_arena_set_allocated_geocentricposition(
::messages::track::Track_EntityGeocentricPosition* geocentricposition);
::messages::track::Track_EntityGeocentricPosition* unsafe_arena_release_geocentricposition();
// .google.protobuf.Timestamp timestamp = 6;
bool has_timestamp() const;
private:
bool _internal_has_timestamp() const;
public:
void clear_timestamp();
const ::PROTOBUF_NAMESPACE_ID::Timestamp& timestamp() const;
PROTOBUF_NODISCARD ::PROTOBUF_NAMESPACE_ID::Timestamp* release_timestamp();
::PROTOBUF_NAMESPACE_ID::Timestamp* mutable_timestamp();
void set_allocated_timestamp(::PROTOBUF_NAMESPACE_ID::Timestamp* timestamp);
private:
const ::PROTOBUF_NAMESPACE_ID::Timestamp& _internal_timestamp() const;
::PROTOBUF_NAMESPACE_ID::Timestamp* _internal_mutable_timestamp();
public:
void unsafe_arena_set_allocated_timestamp(
::PROTOBUF_NAMESPACE_ID::Timestamp* timestamp);
::PROTOBUF_NAMESPACE_ID::Timestamp* unsafe_arena_release_timestamp();
// uint32 trackNo = 1;
void clear_trackno();
uint32_t trackno() const;
void set_trackno(uint32_t value);
private:
uint32_t _internal_trackno() const;
void _internal_set_trackno(uint32_t value);
public:
// bool external = 2;
void clear_external();
bool external() const;
void set_external(bool value);
private:
bool _internal_external() const;
void _internal_set_external(bool value);
public:
// double Speed = 4;
void clear_speed();
double speed() const;
void set_speed(double value);
private:
double _internal_speed() const;
void _internal_set_speed(double value);
public:
// double Course = 5;
void clear_course();
double course() const;
void set_course(double value);
private:
double _internal_course() const;
void _internal_set_course(double value);
public:
// @@protoc_insertion_point(class_scope:messages.track.Track)
private:
class _Internal;
template <typename T> friend class ::PROTOBUF_NAMESPACE_ID::Arena::InternalHelper;
typedef void InternalArenaConstructable_;
typedef void DestructorSkippable_;
struct Impl_ {
::messages::track::Track_EntityGeocentricPosition* geocentricposition_;
::PROTOBUF_NAMESPACE_ID::Timestamp* timestamp_;
uint32_t trackno_;
bool external_;
double speed_;
double course_;
mutable ::PROTOBUF_NAMESPACE_ID::internal::CachedSize _cached_size_;
};
union { Impl_ _impl_; };
friend struct ::TableStruct_Track_2eproto;
};
// ===================================================================
// ===================================================================
#ifdef __GNUC__
#pragma GCC diagnostic push
#pragma GCC diagnostic ignored "-Wstrict-aliasing"
#endif // __GNUC__
// Track_EntityGeocentricPosition
// double X = 1;
inline void Track_EntityGeocentricPosition::clear_x() {
_impl_.x_ = 0;
}
inline double Track_EntityGeocentricPosition::_internal_x() const {
return _impl_.x_;
}
inline double Track_EntityGeocentricPosition::x() const {
// @@protoc_insertion_point(field_get:messages.track.Track.EntityGeocentricPosition.X)
return _internal_x();
}
inline void Track_EntityGeocentricPosition::_internal_set_x(double value) {
_impl_.x_ = value;
}
inline void Track_EntityGeocentricPosition::set_x(double value) {
_internal_set_x(value);
// @@protoc_insertion_point(field_set:messages.track.Track.EntityGeocentricPosition.X)
}
// double Y = 2;
inline void Track_EntityGeocentricPosition::clear_y() {
_impl_.y_ = 0;
}
inline double Track_EntityGeocentricPosition::_internal_y() const {
return _impl_.y_;
}
inline double Track_EntityGeocentricPosition::y() const {
// @@protoc_insertion_point(field_get:messages.track.Track.EntityGeocentricPosition.Y)
return _internal_y();
}
inline void Track_EntityGeocentricPosition::_internal_set_y(double value) {
_impl_.y_ = value;
}
inline void Track_EntityGeocentricPosition::set_y(double value) {
_internal_set_y(value);
// @@protoc_insertion_point(field_set:messages.track.Track.EntityGeocentricPosition.Y)
}
// double Z = 3;
inline void Track_EntityGeocentricPosition::clear_z() {
_impl_.z_ = 0;
}
inline double Track_EntityGeocentricPosition::_internal_z() const {
return _impl_.z_;
}
inline double Track_EntityGeocentricPosition::z() const {
// @@protoc_insertion_point(field_get:messages.track.Track.EntityGeocentricPosition.Z)
return _internal_z();
}
inline void Track_EntityGeocentricPosition::_internal_set_z(double value) {
_impl_.z_ = value;
}
inline void Track_EntityGeocentricPosition::set_z(double value) {
_internal_set_z(value);
// @@protoc_insertion_point(field_set:messages.track.Track.EntityGeocentricPosition.Z)
}
// -------------------------------------------------------------------
// Track
// uint32 trackNo = 1;
inline void Track::clear_trackno() {
_impl_.trackno_ = 0u;
}
inline uint32_t Track::_internal_trackno() const {
return _impl_.trackno_;
}
inline uint32_t Track::trackno() const {
// @@protoc_insertion_point(field_get:messages.track.Track.trackNo)
return _internal_trackno();
}
inline void Track::_internal_set_trackno(uint32_t value) {
_impl_.trackno_ = value;
}
inline void Track::set_trackno(uint32_t value) {
_internal_set_trackno(value);
// @@protoc_insertion_point(field_set:messages.track.Track.trackNo)
}
// bool external = 2;
inline void Track::clear_external() {
_impl_.external_ = false;
}
inline bool Track::_internal_external() const {
return _impl_.external_;
}
inline bool Track::external() const {
// @@protoc_insertion_point(field_get:messages.track.Track.external)
return _internal_external();
}
inline void Track::_internal_set_external(bool value) {
_impl_.external_ = value;
}
inline void Track::set_external(bool value) {
_internal_set_external(value);
// @@protoc_insertion_point(field_set:messages.track.Track.external)
}
// .messages.track.Track.EntityGeocentricPosition GeocentricPosition = 3;
inline bool Track::_internal_has_geocentricposition() const {
return this != internal_default_instance() && _impl_.geocentricposition_ != nullptr;
}
inline bool Track::has_geocentricposition() const {
return _internal_has_geocentricposition();
}
inline void Track::clear_geocentricposition() {
if (GetArenaForAllocation() == nullptr && _impl_.geocentricposition_ != nullptr) {
delete _impl_.geocentricposition_;
}
_impl_.geocentricposition_ = nullptr;
}
inline const ::messages::track::Track_EntityGeocentricPosition& Track::_internal_geocentricposition() const {
const ::messages::track::Track_EntityGeocentricPosition* p = _impl_.geocentricposition_;
return p != nullptr ? *p : reinterpret_cast<const ::messages::track::Track_EntityGeocentricPosition&>(
::messages::track::_Track_EntityGeocentricPosition_default_instance_);
}
inline const ::messages::track::Track_EntityGeocentricPosition& Track::geocentricposition() const {
// @@protoc_insertion_point(field_get:messages.track.Track.GeocentricPosition)
return _internal_geocentricposition();
}
inline void Track::unsafe_arena_set_allocated_geocentricposition(
::messages::track::Track_EntityGeocentricPosition* geocentricposition) {
if (GetArenaForAllocation() == nullptr) {
delete reinterpret_cast<::PROTOBUF_NAMESPACE_ID::MessageLite*>(_impl_.geocentricposition_);
}
_impl_.geocentricposition_ = geocentricposition;
if (geocentricposition) {
} else {
}
// @@protoc_insertion_point(field_unsafe_arena_set_allocated:messages.track.Track.GeocentricPosition)
}
inline ::messages::track::Track_EntityGeocentricPosition* Track::release_geocentricposition() {
::messages::track::Track_EntityGeocentricPosition* temp = _impl_.geocentricposition_;
_impl_.geocentricposition_ = nullptr;
#ifdef PROTOBUF_FORCE_COPY_IN_RELEASE
auto* old = reinterpret_cast<::PROTOBUF_NAMESPACE_ID::MessageLite*>(temp);
temp = ::PROTOBUF_NAMESPACE_ID::internal::DuplicateIfNonNull(temp);
if (GetArenaForAllocation() == nullptr) { delete old; }
#else // PROTOBUF_FORCE_COPY_IN_RELEASE
if (GetArenaForAllocation() != nullptr) {
temp = ::PROTOBUF_NAMESPACE_ID::internal::DuplicateIfNonNull(temp);
}
#endif // !PROTOBUF_FORCE_COPY_IN_RELEASE
return temp;
}
inline ::messages::track::Track_EntityGeocentricPosition* Track::unsafe_arena_release_geocentricposition() {
// @@protoc_insertion_point(field_release:messages.track.Track.GeocentricPosition)
::messages::track::Track_EntityGeocentricPosition* temp = _impl_.geocentricposition_;
_impl_.geocentricposition_ = nullptr;
return temp;
}
inline ::messages::track::Track_EntityGeocentricPosition* Track::_internal_mutable_geocentricposition() {
if (_impl_.geocentricposition_ == nullptr) {
auto* p = CreateMaybeMessage<::messages::track::Track_EntityGeocentricPosition>(GetArenaForAllocation());
_impl_.geocentricposition_ = p;
}
return _impl_.geocentricposition_;
}
inline ::messages::track::Track_EntityGeocentricPosition* Track::mutable_geocentricposition() {
::messages::track::Track_EntityGeocentricPosition* _msg = _internal_mutable_geocentricposition();
// @@protoc_insertion_point(field_mutable:messages.track.Track.GeocentricPosition)
return _msg;
}
inline void Track::set_allocated_geocentricposition(::messages::track::Track_EntityGeocentricPosition* geocentricposition) {
::PROTOBUF_NAMESPACE_ID::Arena* message_arena = GetArenaForAllocation();
if (message_arena == nullptr) {
delete _impl_.geocentricposition_;
}
if (geocentricposition) {
::PROTOBUF_NAMESPACE_ID::Arena* submessage_arena =
::PROTOBUF_NAMESPACE_ID::Arena::InternalGetOwningArena(geocentricposition);
if (message_arena != submessage_arena) {
geocentricposition = ::PROTOBUF_NAMESPACE_ID::internal::GetOwnedMessage(
message_arena, geocentricposition, submessage_arena);
}
} else {
}
_impl_.geocentricposition_ = geocentricposition;
// @@protoc_insertion_point(field_set_allocated:messages.track.Track.GeocentricPosition)
}
// double Speed = 4;
inline void Track::clear_speed() {
_impl_.speed_ = 0;
}
inline double Track::_internal_speed() const {
return _impl_.speed_;
}
inline double Track::speed() const {
// @@protoc_insertion_point(field_get:messages.track.Track.Speed)
return _internal_speed();
}
inline void Track::_internal_set_speed(double value) {
_impl_.speed_ = value;
}
inline void Track::set_speed(double value) {
_internal_set_speed(value);
// @@protoc_insertion_point(field_set:messages.track.Track.Speed)
}
// double Course = 5;
inline void Track::clear_course() {
_impl_.course_ = 0;
}
inline double Track::_internal_course() const {
return _impl_.course_;
}
inline double Track::course() const {
// @@protoc_insertion_point(field_get:messages.track.Track.Course)
return _internal_course();
}
inline void Track::_internal_set_course(double value) {
_impl_.course_ = value;
}
inline void Track::set_course(double value) {
_internal_set_course(value);
// @@protoc_insertion_point(field_set:messages.track.Track.Course)
}
// .google.protobuf.Timestamp timestamp = 6;
inline bool Track::_internal_has_timestamp() const {
return this != internal_default_instance() && _impl_.timestamp_ != nullptr;
}
inline bool Track::has_timestamp() const {
return _internal_has_timestamp();
}
inline const ::PROTOBUF_NAMESPACE_ID::Timestamp& Track::_internal_timestamp() const {
const ::PROTOBUF_NAMESPACE_ID::Timestamp* p = _impl_.timestamp_;
return p != nullptr ? *p : reinterpret_cast<const ::PROTOBUF_NAMESPACE_ID::Timestamp&>(
::PROTOBUF_NAMESPACE_ID::_Timestamp_default_instance_);
}
inline const ::PROTOBUF_NAMESPACE_ID::Timestamp& Track::timestamp() const {
// @@protoc_insertion_point(field_get:messages.track.Track.timestamp)
return _internal_timestamp();
}
inline void Track::unsafe_arena_set_allocated_timestamp(
::PROTOBUF_NAMESPACE_ID::Timestamp* timestamp) {
if (GetArenaForAllocation() == nullptr) {
delete reinterpret_cast<::PROTOBUF_NAMESPACE_ID::MessageLite*>(_impl_.timestamp_);
}
_impl_.timestamp_ = timestamp;
if (timestamp) {
} else {
}
// @@protoc_insertion_point(field_unsafe_arena_set_allocated:messages.track.Track.timestamp)
}
inline ::PROTOBUF_NAMESPACE_ID::Timestamp* Track::release_timestamp() {
::PROTOBUF_NAMESPACE_ID::Timestamp* temp = _impl_.timestamp_;
_impl_.timestamp_ = nullptr;
#ifdef PROTOBUF_FORCE_COPY_IN_RELEASE
auto* old = reinterpret_cast<::PROTOBUF_NAMESPACE_ID::MessageLite*>(temp);
temp = ::PROTOBUF_NAMESPACE_ID::internal::DuplicateIfNonNull(temp);
if (GetArenaForAllocation() == nullptr) { delete old; }
#else // PROTOBUF_FORCE_COPY_IN_RELEASE
if (GetArenaForAllocation() != nullptr) {
temp = ::PROTOBUF_NAMESPACE_ID::internal::DuplicateIfNonNull(temp);
}
#endif // !PROTOBUF_FORCE_COPY_IN_RELEASE
return temp;
}
inline ::PROTOBUF_NAMESPACE_ID::Timestamp* Track::unsafe_arena_release_timestamp() {
// @@protoc_insertion_point(field_release:messages.track.Track.timestamp)
::PROTOBUF_NAMESPACE_ID::Timestamp* temp = _impl_.timestamp_;
_impl_.timestamp_ = nullptr;
return temp;
}
inline ::PROTOBUF_NAMESPACE_ID::Timestamp* Track::_internal_mutable_timestamp() {
if (_impl_.timestamp_ == nullptr) {
auto* p = CreateMaybeMessage<::PROTOBUF_NAMESPACE_ID::Timestamp>(GetArenaForAllocation());
_impl_.timestamp_ = p;
}
return _impl_.timestamp_;
}
inline ::PROTOBUF_NAMESPACE_ID::Timestamp* Track::mutable_timestamp() {
::PROTOBUF_NAMESPACE_ID::Timestamp* _msg = _internal_mutable_timestamp();
// @@protoc_insertion_point(field_mutable:messages.track.Track.timestamp)
return _msg;
}
inline void Track::set_allocated_timestamp(::PROTOBUF_NAMESPACE_ID::Timestamp* timestamp) {
::PROTOBUF_NAMESPACE_ID::Arena* message_arena = GetArenaForAllocation();
if (message_arena == nullptr) {
delete reinterpret_cast< ::PROTOBUF_NAMESPACE_ID::MessageLite*>(_impl_.timestamp_);
}
if (timestamp) {
::PROTOBUF_NAMESPACE_ID::Arena* submessage_arena =
::PROTOBUF_NAMESPACE_ID::Arena::InternalGetOwningArena(
reinterpret_cast<::PROTOBUF_NAMESPACE_ID::MessageLite*>(timestamp));
if (message_arena != submessage_arena) {
timestamp = ::PROTOBUF_NAMESPACE_ID::internal::GetOwnedMessage(
message_arena, timestamp, submessage_arena);
}
} else {
}
_impl_.timestamp_ = timestamp;
// @@protoc_insertion_point(field_set_allocated:messages.track.Track.timestamp)
}
#ifdef __GNUC__
#pragma GCC diagnostic pop
#endif // __GNUC__
// -------------------------------------------------------------------
// @@protoc_insertion_point(namespace_scope)
} // namespace track
} // namespace messages
// @@protoc_insertion_point(global_scope)
#include <google/protobuf/port_undef.inc>
#endif // GOOGLE_PROTOBUF_INCLUDED_GOOGLE_PROTOBUF_INCLUDED_Track_2eproto

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@@ -0,0 +1,34 @@
// [START declaration]
syntax = "proto3";
package messages.track;
import "google/protobuf/timestamp.proto";
// [END declaration]
// [START messages]
message Track {
uint32 trackNo = 1;
bool external = 2;
// message DISEntityID {
// uint32 site = 1;
// uint32 application = 2;
// uint32 entity = 3;
// }
message EntityGeocentricPosition {
double X = 1;
double Y = 2;
double Z = 3;
}
EntityGeocentricPosition GeocentricPosition = 3;
double Speed = 4;
double Course = 5;
// DISEntityID EntityID = 2;
google.protobuf.Timestamp timestamp = 6;
}

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@@ -0,0 +1,56 @@
#pragma once
#include "SimCore/Position.hpp"
#include <WHISPER/Messages/Message.hpp>
#include <SimCore/Messages/Protos/Track.pb.h>
#include <Eigen/Core>
#include <cstdint>
#include <string>
#include <loguru.hpp>
namespace SimCore {
class Track : public WHISPER::Message
{
private:
messages::track::Track trackMessage;
Position position_;
double speed_ = 0;
double course_ = 0;
bool external_ = false;
void packToMessage();
public:
std::uint32_t trackNo;
Track(std::string receivedMessage);
Track(std::uint32_t deviceID, WHISPER::SourceType src,std::uint32_t trackNo,Position pos, bool external);
void setPosition(Position pos);
void setPosition(double x,double y,double z);
Position getPostion();
void setSpeed(double speed);
void setCourse(double course);
void setExternal(bool val);
double getSpeed();
double getCourse();
bool isExternal();
};
}

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@@ -0,0 +1,46 @@
#pragma once
#include <Eigen/Core>
#include <GeographicLib/Ellipsoid.hpp>
#include <GeographicLib/Geocentric.hpp>
#include <GeographicLib/Geodesic.hpp>
#include <GeographicLib/GeodesicLine.hpp>
#include <GeographicLib/Constants.hpp>
#include <memory>
namespace SimCore {
class Position {
public:
Position();
Position(double X, double Y, double Z);
/**
* @brief returns a eigen vector3d with the X, Y, Z coordinates
* @return Eigen::Vector3d
*/
Eigen::Vector3d getGeocentricPos();
/**
* @brief returns a eigen vector3d with the lat, lon, height coordinates
* @return Eigen::Vector3d
*/
Eigen::Vector3d getGeodesicPos();
void setGeocentricPos(double X, double Y, double Z);
void setGeodesicPos(double lat, double lon, int height);
private:
std::shared_ptr<GeographicLib::Geocentric> earth_ = nullptr;
std::shared_ptr<GeographicLib::Geodesic> geod_ = nullptr;
std::shared_ptr<GeographicLib::Ellipsoid> wgs84_ = nullptr;
Eigen::Vector3d GeodesicPos_; // lat long height
Eigen::Vector3d GeocentricPos_; ///x y z
};
}

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@@ -0,0 +1,22 @@
#pragma once
#include <cstdint>
namespace SimCore {
enum GeodesicPosition : std::uint8_t {
LONGITUDE = 0,
LATITUDE,
HEIGHT
};
enum GeocentricPosition : std::uint8_t {
X = 0,
Y,
Z
};
}

38
libs/eigen/.gitignore vendored Normal file
View File

@@ -0,0 +1,38 @@
qrc_*cxx
*.orig
*.pyc
*.diff
diff
*.save
save
*.old
*.gmo
*.qm
core
core.*
*.bak
*~
*build*
*.moc.*
*.moc
ui_*
CMakeCache.txt
tags
.*.swp
activity.png
*.out
*.php*
*.log
*.orig
*.rej
log
patch
*.patch
a
a.*
lapack/testing
lapack/reference
.*project
.settings
Makefile
!ci/build.gitlab-ci.yml

23
libs/eigen/.gitlab-ci.yml Normal file
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@@ -0,0 +1,23 @@
# This file is part of Eigen, a lightweight C++ template library
# for linear algebra.
#
# Copyright (C) 2020 Arm Ltd. and Contributors
#
# This Source Code Form is subject to the terms of the Mozilla
# Public License v. 2.0. If a copy of the MPL was not distributed
# with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
stages:
- buildsmoketests
- smoketests
- build
- test
variables:
BUILDDIR: builddir
EIGEN_CI_CMAKE_GENEATOR: "Ninja"
include:
- "/ci/smoketests.gitlab-ci.yml"
- "/ci/build.gitlab-ci.yml"
- "/ci/test.gitlab-ci.yml"

View File

@@ -0,0 +1,69 @@
<!--
Please read this!
Before opening a new issue, make sure to search for keywords in the issues
filtered by "bug::confirmed" or "bug::unconfirmed" and "bugzilla" label:
- https://gitlab.com/libeigen/eigen/-/issues?scope=all&utf8=%E2%9C%93&state=opened&label_name[]=bug%3A%3Aconfirmed
- https://gitlab.com/libeigen/eigen/-/issues?scope=all&utf8=%E2%9C%93&state=opened&label_name[]=bug%3A%3Aunconfirmed
- https://gitlab.com/libeigen/eigen/-/issues?scope=all&utf8=%E2%9C%93&state=opened&label_name[]=bugzilla
and verify the issue you're about to submit isn't a duplicate. -->
### Summary
<!-- Summarize the bug encountered concisely. -->
### Environment
<!-- Please provide your development environment here -->
- **Operating System** : Windows/Linux
- **Architecture** : x64/Arm64/PowerPC ...
- **Eigen Version** : 3.3.9
- **Compiler Version** : Gcc7.0
- **Compile Flags** : -O3 -march=native
- **Vector Extension** : SSE/AVX/NEON ...
### Minimal Example
<!-- If possible, please create a minimal example here that exhibits the problematic behavior.
You can also link to [godbolt](https://godbolt.org). But please note that you need to click
the "Share" button in the top right-hand corner of the godbolt page where you reproduce the sample
code to get the share link instead of in your browser address bar.
You can read [the guidelines on stackoverflow](https://stackoverflow.com/help/minimal-reproducible-example)
on how to create a good minimal example. -->
```cpp
//show your code here
```
### Steps to reproduce
<!-- Describe how one can reproduce the issue - this is very important. Please use an ordered list. -->
1. first step
2. second step
3. ...
### What is the current *bug* behavior?
<!-- Describe what actually happens. -->
### What is the expected *correct* behavior?
<!-- Describe what you should see instead. -->
### Relevant logs
<!-- Add relevant code snippets or program output within blocks marked by " ``` " -->
<!-- OPTIONAL: remove this section if you are not reporting a compilation warning issue.-->
### Warning Messages
<!-- Show us the warning messages you got! -->
<!-- OPTIONAL: remove this section if you are not reporting a performance issue. -->
### Benchmark scripts and results
<!-- Please share any benchmark scripts - either standalone, or using [Google Benchmark](https://github.com/google/benchmark). -->
### Anything else that might help
<!-- It will be better to provide us more information to help narrow down the cause.
Including but not limited to the following:
- lines of code that might help us diagnose the problem.
- potential ways to address the issue.
- last known working/first broken version (release number or commit hash). -->
- [ ] Have a plan to fix this issue.

View File

@@ -0,0 +1,7 @@
### Describe the feature you would like to be implemented.
### Would such a feature be useful for other users? Why?
### Any hints on how to implement the requested feature?
### Additional resources

View File

@@ -0,0 +1,26 @@
<!--
Thanks for contributing a merge request! Please name and fully describe your MR as you would for a commit message.
If the MR fixes an issue, please include "Fixes #issue" in the commit message and the MR description.
In addition, we recommend that first-time contributors read our [contribution guidelines](https://eigen.tuxfamily.org/index.php?title=Contributing_to_Eigen) and [git page](https://eigen.tuxfamily.org/index.php?title=Git), which will help you submit a more standardized MR.
Before submitting the MR, you also need to complete the following checks:
- Make one PR per feature/bugfix (don't mix multiple changes into one PR). Avoid committing unrelated changes.
- Rebase before committing
- For code changes, run the test suite (at least the tests that are likely affected by the change).
See our [test guidelines](https://eigen.tuxfamily.org/index.php?title=Tests).
- If possible, add a test (both for bug-fixes as well as new features)
- Make sure new features are documented
Note that we are a team of volunteers; we appreciate your patience during the review process.
Again, thanks for contributing! -->
### Reference issue
<!-- You can link to a specific issue using the gitlab syntax #<issue number> -->
### What does this implement/fix?
<!--Please explain your changes.-->
### Additional information
<!--Any additional information you think is important.-->

11
libs/eigen/.hgeol Normal file
View File

@@ -0,0 +1,11 @@
[patterns]
*.sh = LF
*.MINPACK = CRLF
scripts/*.in = LF
debug/msvc/*.dat = CRLF
debug/msvc/*.natvis = CRLF
unsupported/test/mpreal/*.* = CRLF
** = native
[repository]
native = LF

653
libs/eigen/CMakeLists.txt Normal file
View File

@@ -0,0 +1,653 @@
# cmake_minimum_require must be the first command of the file
cmake_minimum_required(VERSION 3.5.0)
project(Eigen3)
# guard against in-source builds
if(${CMAKE_SOURCE_DIR} STREQUAL ${CMAKE_BINARY_DIR})
message(FATAL_ERROR "In-source builds not allowed. Please make a new directory (called a build directory) and run CMake from there. You may need to remove CMakeCache.txt. ")
endif()
# Alias Eigen_*_DIR to Eigen3_*_DIR:
set(Eigen_SOURCE_DIR ${Eigen3_SOURCE_DIR})
set(Eigen_BINARY_DIR ${Eigen3_BINARY_DIR})
# guard against bad build-type strings
if (NOT CMAKE_BUILD_TYPE)
set(CMAKE_BUILD_TYPE "Release")
endif()
#############################################################################
# retrieve version information #
#############################################################################
# automatically parse the version number
file(READ "${PROJECT_SOURCE_DIR}/Eigen/src/Core/util/Macros.h" _eigen_version_header)
string(REGEX MATCH "define[ \t]+EIGEN_WORLD_VERSION[ \t]+([0-9]+)" _eigen_world_version_match "${_eigen_version_header}")
set(EIGEN_WORLD_VERSION "${CMAKE_MATCH_1}")
string(REGEX MATCH "define[ \t]+EIGEN_MAJOR_VERSION[ \t]+([0-9]+)" _eigen_major_version_match "${_eigen_version_header}")
set(EIGEN_MAJOR_VERSION "${CMAKE_MATCH_1}")
string(REGEX MATCH "define[ \t]+EIGEN_MINOR_VERSION[ \t]+([0-9]+)" _eigen_minor_version_match "${_eigen_version_header}")
set(EIGEN_MINOR_VERSION "${CMAKE_MATCH_1}")
set(EIGEN_VERSION_NUMBER ${EIGEN_WORLD_VERSION}.${EIGEN_MAJOR_VERSION}.${EIGEN_MINOR_VERSION})
# if we are not in a git clone
if(IS_DIRECTORY ${CMAKE_SOURCE_DIR}/.git)
# if the git program is absent or this will leave the EIGEN_GIT_REVNUM string empty,
# but won't stop CMake.
execute_process(COMMAND git ls-remote --refs -q ${CMAKE_SOURCE_DIR} HEAD OUTPUT_VARIABLE EIGEN_GIT_OUTPUT)
endif()
# extract the git rev number from the git output...
if(EIGEN_GIT_OUTPUT)
string(REGEX MATCH "^([0-9;a-f]+).*" EIGEN_GIT_CHANGESET_MATCH "${EIGEN_GIT_OUTPUT}")
set(EIGEN_GIT_REVNUM "${CMAKE_MATCH_1}")
endif()
#...and show it next to the version number
if(EIGEN_GIT_REVNUM)
set(EIGEN_VERSION "${EIGEN_VERSION_NUMBER} (git rev ${EIGEN_GIT_REVNUM})")
else()
set(EIGEN_VERSION "${EIGEN_VERSION_NUMBER}")
endif()
include(CheckCXXCompilerFlag)
include(GNUInstallDirs)
include(CMakeDependentOption)
set(CMAKE_MODULE_PATH ${PROJECT_SOURCE_DIR}/cmake)
option(EIGEN_TEST_CXX11 "Enable testing with C++11 and C++11 features (e.g. Tensor module)." OFF)
macro(ei_add_cxx_compiler_flag FLAG)
string(REGEX REPLACE "-" "" SFLAG1 ${FLAG})
string(REGEX REPLACE "\\+" "p" SFLAG ${SFLAG1})
check_cxx_compiler_flag(${FLAG} COMPILER_SUPPORT_${SFLAG})
if(COMPILER_SUPPORT_${SFLAG})
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} ${FLAG}")
endif()
endmacro()
check_cxx_compiler_flag("-std=c++11" EIGEN_COMPILER_SUPPORT_CPP11)
if(EIGEN_TEST_CXX11)
set(CMAKE_CXX_STANDARD 11)
set(CMAKE_CXX_EXTENSIONS OFF)
if(EIGEN_COMPILER_SUPPORT_CPP11)
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -std=c++11")
endif()
else()
#set(CMAKE_CXX_STANDARD 03)
#set(CMAKE_CXX_EXTENSIONS OFF)
ei_add_cxx_compiler_flag("-std=c++03")
endif()
# Determine if we should build shared libraries on this platform.
get_cmake_property(EIGEN_BUILD_SHARED_LIBS TARGET_SUPPORTS_SHARED_LIBS)
#############################################################################
# find how to link to the standard libraries #
#############################################################################
find_package(StandardMathLibrary)
set(EIGEN_TEST_CUSTOM_LINKER_FLAGS "" CACHE STRING "Additional linker flags when linking unit tests.")
set(EIGEN_TEST_CUSTOM_CXX_FLAGS "" CACHE STRING "Additional compiler flags when compiling unit tests.")
set(EIGEN_STANDARD_LIBRARIES_TO_LINK_TO "")
if(NOT STANDARD_MATH_LIBRARY_FOUND)
message(FATAL_ERROR
"Can't link to the standard math library. Please report to the Eigen developers, telling them about your platform.")
else()
if(EIGEN_STANDARD_LIBRARIES_TO_LINK_TO)
set(EIGEN_STANDARD_LIBRARIES_TO_LINK_TO "${EIGEN_STANDARD_LIBRARIES_TO_LINK_TO} ${STANDARD_MATH_LIBRARY}")
else()
set(EIGEN_STANDARD_LIBRARIES_TO_LINK_TO "${STANDARD_MATH_LIBRARY}")
endif()
endif()
if(EIGEN_STANDARD_LIBRARIES_TO_LINK_TO)
message(STATUS "Standard libraries to link to explicitly: ${EIGEN_STANDARD_LIBRARIES_TO_LINK_TO}")
else()
message(STATUS "Standard libraries to link to explicitly: none")
endif()
option(EIGEN_BUILD_BTL "Build benchmark suite" OFF)
# Disable pkgconfig only for native Windows builds
if(NOT WIN32 OR NOT CMAKE_HOST_SYSTEM_NAME MATCHES Windows)
option(EIGEN_BUILD_PKGCONFIG "Build pkg-config .pc file for Eigen" ON)
endif()
set(CMAKE_INCLUDE_CURRENT_DIR OFF)
option(EIGEN_SPLIT_LARGE_TESTS "Split large tests into smaller executables" ON)
option(EIGEN_DEFAULT_TO_ROW_MAJOR "Use row-major as default matrix storage order" OFF)
if(EIGEN_DEFAULT_TO_ROW_MAJOR)
add_definitions("-DEIGEN_DEFAULT_TO_ROW_MAJOR")
endif()
set(EIGEN_TEST_MAX_SIZE "320" CACHE STRING "Maximal matrix/vector size, default is 320")
if(NOT MSVC)
# We assume that other compilers are partly compatible with GNUCC
# clang outputs some warnings for unknown flags that are not caught by check_cxx_compiler_flag
# adding -Werror turns such warnings into errors
check_cxx_compiler_flag("-Werror" COMPILER_SUPPORT_WERROR)
if(COMPILER_SUPPORT_WERROR)
set(CMAKE_REQUIRED_FLAGS "-Werror")
endif()
ei_add_cxx_compiler_flag("-pedantic")
ei_add_cxx_compiler_flag("-Wall")
ei_add_cxx_compiler_flag("-Wextra")
#ei_add_cxx_compiler_flag("-Weverything") # clang
ei_add_cxx_compiler_flag("-Wundef")
ei_add_cxx_compiler_flag("-Wcast-align")
ei_add_cxx_compiler_flag("-Wchar-subscripts")
ei_add_cxx_compiler_flag("-Wnon-virtual-dtor")
ei_add_cxx_compiler_flag("-Wunused-local-typedefs")
ei_add_cxx_compiler_flag("-Wpointer-arith")
ei_add_cxx_compiler_flag("-Wwrite-strings")
ei_add_cxx_compiler_flag("-Wformat-security")
ei_add_cxx_compiler_flag("-Wshorten-64-to-32")
ei_add_cxx_compiler_flag("-Wlogical-op")
ei_add_cxx_compiler_flag("-Wenum-conversion")
ei_add_cxx_compiler_flag("-Wc++11-extensions")
ei_add_cxx_compiler_flag("-Wdouble-promotion")
# ei_add_cxx_compiler_flag("-Wconversion")
ei_add_cxx_compiler_flag("-Wshadow")
ei_add_cxx_compiler_flag("-Wno-psabi")
ei_add_cxx_compiler_flag("-Wno-variadic-macros")
ei_add_cxx_compiler_flag("-Wno-long-long")
ei_add_cxx_compiler_flag("-fno-check-new")
ei_add_cxx_compiler_flag("-fno-common")
ei_add_cxx_compiler_flag("-fstrict-aliasing")
ei_add_cxx_compiler_flag("-wd981") # disable ICC's "operands are evaluated in unspecified order" remark
ei_add_cxx_compiler_flag("-wd2304") # disable ICC's "warning #2304: non-explicit constructor with single argument may cause implicit type conversion" produced by -Wnon-virtual-dtor
# The -ansi flag must be added last, otherwise it is also used as a linker flag by check_cxx_compiler_flag making it fails
# Moreover we should not set both -strict-ansi and -ansi
check_cxx_compiler_flag("-strict-ansi" COMPILER_SUPPORT_STRICTANSI)
ei_add_cxx_compiler_flag("-Qunused-arguments") # disable clang warning: argument unused during compilation: '-ansi'
if(COMPILER_SUPPORT_STRICTANSI)
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -strict-ansi")
else()
ei_add_cxx_compiler_flag("-ansi")
endif()
if(ANDROID_NDK)
ei_add_cxx_compiler_flag("-pie")
ei_add_cxx_compiler_flag("-fPIE")
endif()
set(CMAKE_REQUIRED_FLAGS "")
option(EIGEN_TEST_SSE2 "Enable/Disable SSE2 in tests/examples" OFF)
if(EIGEN_TEST_SSE2)
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -msse2")
message(STATUS "Enabling SSE2 in tests/examples")
endif()
option(EIGEN_TEST_SSE3 "Enable/Disable SSE3 in tests/examples" OFF)
if(EIGEN_TEST_SSE3)
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -msse3")
message(STATUS "Enabling SSE3 in tests/examples")
endif()
option(EIGEN_TEST_SSSE3 "Enable/Disable SSSE3 in tests/examples" OFF)
if(EIGEN_TEST_SSSE3)
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -mssse3")
message(STATUS "Enabling SSSE3 in tests/examples")
endif()
option(EIGEN_TEST_SSE4_1 "Enable/Disable SSE4.1 in tests/examples" OFF)
if(EIGEN_TEST_SSE4_1)
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -msse4.1")
message(STATUS "Enabling SSE4.1 in tests/examples")
endif()
option(EIGEN_TEST_SSE4_2 "Enable/Disable SSE4.2 in tests/examples" OFF)
if(EIGEN_TEST_SSE4_2)
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -msse4.2")
message(STATUS "Enabling SSE4.2 in tests/examples")
endif()
option(EIGEN_TEST_AVX "Enable/Disable AVX in tests/examples" OFF)
if(EIGEN_TEST_AVX)
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -mavx")
message(STATUS "Enabling AVX in tests/examples")
endif()
option(EIGEN_TEST_FMA "Enable/Disable FMA in tests/examples" OFF)
if(EIGEN_TEST_FMA AND NOT EIGEN_TEST_NEON)
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -mfma")
message(STATUS "Enabling FMA in tests/examples")
endif()
option(EIGEN_TEST_AVX2 "Enable/Disable AVX2 in tests/examples" OFF)
if(EIGEN_TEST_AVX2)
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -mavx2 -mfma")
message(STATUS "Enabling AVX2 in tests/examples")
endif()
option(EIGEN_TEST_AVX512 "Enable/Disable AVX512 in tests/examples" OFF)
if(EIGEN_TEST_AVX512)
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -mavx512f -mfma")
if (NOT "${CMAKE_CXX_COMPILER_ID}" STREQUAL "Clang")
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -fabi-version=6")
endif()
message(STATUS "Enabling AVX512 in tests/examples")
endif()
option(EIGEN_TEST_AVX512DQ "Enable/Disable AVX512DQ in tests/examples" OFF)
if(EIGEN_TEST_AVX512DQ)
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -mavx512dq")
if (NOT "${CMAKE_CXX_COMPILER_ID}" STREQUAL "Clang")
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -fabi-version=6")
endif()
message(STATUS "Enabling AVX512DQ in tests/examples")
endif()
option(EIGEN_TEST_F16C "Enable/Disable F16C in tests/examples" OFF)
if(EIGEN_TEST_F16C)
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -mf16c")
message(STATUS "Enabling F16C in tests/examples")
endif()
option(EIGEN_TEST_ALTIVEC "Enable/Disable AltiVec in tests/examples" OFF)
if(EIGEN_TEST_ALTIVEC)
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -maltivec -mabi=altivec")
message(STATUS "Enabling AltiVec in tests/examples")
endif()
option(EIGEN_TEST_VSX "Enable/Disable VSX in tests/examples" OFF)
if(EIGEN_TEST_VSX)
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -m64 -mvsx")
message(STATUS "Enabling VSX in tests/examples")
endif()
option(EIGEN_TEST_MSA "Enable/Disable MSA in tests/examples" OFF)
if(EIGEN_TEST_MSA)
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -mmsa")
message(STATUS "Enabling MSA in tests/examples")
endif()
option(EIGEN_TEST_NEON "Enable/Disable Neon in tests/examples" OFF)
if(EIGEN_TEST_NEON)
if(EIGEN_TEST_FMA)
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -mfpu=neon-vfpv4")
else()
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -mfpu=neon")
endif()
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -mfloat-abi=hard")
message(STATUS "Enabling NEON in tests/examples")
endif()
option(EIGEN_TEST_NEON64 "Enable/Disable Neon in tests/examples" OFF)
if(EIGEN_TEST_NEON64)
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS}")
message(STATUS "Enabling NEON in tests/examples")
endif()
option(EIGEN_TEST_Z13 "Enable/Disable S390X(zEC13) ZVECTOR in tests/examples" OFF)
if(EIGEN_TEST_Z13)
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -march=z13 -mzvector")
message(STATUS "Enabling S390X(zEC13) ZVECTOR in tests/examples")
endif()
option(EIGEN_TEST_Z14 "Enable/Disable S390X(zEC14) ZVECTOR in tests/examples" OFF)
if(EIGEN_TEST_Z14)
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -march=z14 -mzvector")
message(STATUS "Enabling S390X(zEC13) ZVECTOR in tests/examples")
endif()
check_cxx_compiler_flag("-fopenmp" COMPILER_SUPPORT_OPENMP)
if(COMPILER_SUPPORT_OPENMP)
option(EIGEN_TEST_OPENMP "Enable/Disable OpenMP in tests/examples" OFF)
if(EIGEN_TEST_OPENMP)
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -fopenmp")
message(STATUS "Enabling OpenMP in tests/examples")
endif()
endif()
else()
# C4127 - conditional expression is constant
# C4714 - marked as __forceinline not inlined (I failed to deactivate it selectively)
# We can disable this warning in the unit tests since it is clear that it occurs
# because we are oftentimes returning objects that have a destructor or may
# throw exceptions - in particular in the unit tests we are throwing extra many
# exceptions to cover indexing errors.
# C4505 - unreferenced local function has been removed (impossible to deactivate selectively)
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} /EHsc /wd4127 /wd4505 /wd4714")
# replace all /Wx by /W4
string(REGEX REPLACE "/W[0-9]" "/W4" CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS}")
check_cxx_compiler_flag("/openmp" COMPILER_SUPPORT_OPENMP)
if(COMPILER_SUPPORT_OPENMP)
option(EIGEN_TEST_OPENMP "Enable/Disable OpenMP in tests/examples" OFF)
if(EIGEN_TEST_OPENMP)
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} /openmp")
message(STATUS "Enabling OpenMP in tests/examples")
endif()
endif()
option(EIGEN_TEST_SSE2 "Enable/Disable SSE2 in tests/examples" OFF)
if(EIGEN_TEST_SSE2)
if(NOT CMAKE_CL_64)
# arch is not supported on 64 bit systems, SSE is enabled automatically.
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} /arch:SSE2")
endif()
message(STATUS "Enabling SSE2 in tests/examples")
endif()
option(EIGEN_TEST_AVX "Enable/Disable AVX in tests/examples" OFF)
if(EIGEN_TEST_AVX)
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} /arch:AVX")
message(STATUS "Enabling AVX in tests/examples")
endif()
option(EIGEN_TEST_FMA "Enable/Disable FMA/AVX2 in tests/examples" OFF)
if(EIGEN_TEST_FMA AND NOT EIGEN_TEST_NEON)
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} /arch:AVX2")
message(STATUS "Enabling FMA/AVX2 in tests/examples")
endif()
endif()
option(EIGEN_TEST_NO_EXPLICIT_VECTORIZATION "Disable explicit vectorization in tests/examples" OFF)
option(EIGEN_TEST_X87 "Force using X87 instructions. Implies no vectorization." OFF)
option(EIGEN_TEST_32BIT "Force generating 32bit code." OFF)
if(EIGEN_TEST_X87)
set(EIGEN_TEST_NO_EXPLICIT_VECTORIZATION ON)
if(CMAKE_COMPILER_IS_GNUCXX)
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -mfpmath=387")
message(STATUS "Forcing use of x87 instructions in tests/examples")
else()
message(STATUS "EIGEN_TEST_X87 ignored on your compiler")
endif()
endif()
if(EIGEN_TEST_32BIT)
if(CMAKE_COMPILER_IS_GNUCXX)
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -m32")
message(STATUS "Forcing generation of 32-bit code in tests/examples")
else()
message(STATUS "EIGEN_TEST_32BIT ignored on your compiler")
endif()
endif()
if(EIGEN_TEST_NO_EXPLICIT_VECTORIZATION)
add_definitions(-DEIGEN_DONT_VECTORIZE=1)
message(STATUS "Disabling vectorization in tests/examples")
endif()
option(EIGEN_TEST_NO_EXPLICIT_ALIGNMENT "Disable explicit alignment (hence vectorization) in tests/examples" OFF)
if(EIGEN_TEST_NO_EXPLICIT_ALIGNMENT)
add_definitions(-DEIGEN_DONT_ALIGN=1)
message(STATUS "Disabling alignment in tests/examples")
endif()
option(EIGEN_TEST_NO_EXCEPTIONS "Disables C++ exceptions" OFF)
if(EIGEN_TEST_NO_EXCEPTIONS)
ei_add_cxx_compiler_flag("-fno-exceptions")
message(STATUS "Disabling exceptions in tests/examples")
endif()
set(EIGEN_CUDA_COMPUTE_ARCH 30 CACHE STRING "The CUDA compute architecture level to target when compiling CUDA code")
include_directories(${CMAKE_CURRENT_SOURCE_DIR})
# Backward compatibility support for EIGEN_INCLUDE_INSTALL_DIR
if(EIGEN_INCLUDE_INSTALL_DIR)
message(WARNING "EIGEN_INCLUDE_INSTALL_DIR is deprecated. Use INCLUDE_INSTALL_DIR instead.")
endif()
if(EIGEN_INCLUDE_INSTALL_DIR AND NOT INCLUDE_INSTALL_DIR)
set(INCLUDE_INSTALL_DIR ${EIGEN_INCLUDE_INSTALL_DIR}
CACHE PATH "The directory relative to CMAKE_INSTALL_PREFIX where Eigen header files are installed")
else()
set(INCLUDE_INSTALL_DIR
"${CMAKE_INSTALL_INCLUDEDIR}/eigen3"
CACHE PATH "The directory relative to CMAKE_INSTALL_PREFIX where Eigen header files are installed"
)
endif()
set(CMAKEPACKAGE_INSTALL_DIR
"${CMAKE_INSTALL_DATADIR}/eigen3/cmake"
CACHE PATH "The directory relative to CMAKE_INSTALL_PREFIX where Eigen3Config.cmake is installed"
)
set(PKGCONFIG_INSTALL_DIR
"${CMAKE_INSTALL_DATADIR}/pkgconfig"
CACHE PATH "The directory relative to CMAKE_INSTALL_PREFIX where eigen3.pc is installed"
)
foreach(var INCLUDE_INSTALL_DIR CMAKEPACKAGE_INSTALL_DIR PKGCONFIG_INSTALL_DIR)
# If an absolute path is specified, make it relative to "{CMAKE_INSTALL_PREFIX}".
if(IS_ABSOLUTE "${${var}}")
file(RELATIVE_PATH "${var}" "${CMAKE_INSTALL_PREFIX}" "${${var}}")
endif()
endforeach()
# similar to set_target_properties but append the property instead of overwriting it
macro(ei_add_target_property target prop value)
get_target_property(previous ${target} ${prop})
# if the property wasn't previously set, ${previous} is now "previous-NOTFOUND" which cmake allows catching with plain if()
if(NOT previous)
set(previous "")
endif()
set_target_properties(${target} PROPERTIES ${prop} "${previous} ${value}")
endmacro()
install(FILES
signature_of_eigen3_matrix_library
DESTINATION ${INCLUDE_INSTALL_DIR} COMPONENT Devel
)
if(EIGEN_BUILD_PKGCONFIG)
configure_file(eigen3.pc.in eigen3.pc @ONLY)
install(FILES ${CMAKE_CURRENT_BINARY_DIR}/eigen3.pc
DESTINATION ${PKGCONFIG_INSTALL_DIR}
)
endif()
install(DIRECTORY Eigen DESTINATION ${INCLUDE_INSTALL_DIR} COMPONENT Devel)
option(EIGEN_BUILD_DOC "Enable creation of Eigen documentation" ON)
if(EIGEN_BUILD_DOC)
add_subdirectory(doc EXCLUDE_FROM_ALL)
endif()
option(BUILD_TESTING "Enable creation of Eigen tests." ON)
if(BUILD_TESTING)
include(EigenConfigureTesting)
if(EIGEN_LEAVE_TEST_IN_ALL_TARGET)
add_subdirectory(test) # can't do EXCLUDE_FROM_ALL here, breaks CTest
else()
add_subdirectory(test EXCLUDE_FROM_ALL)
endif()
add_subdirectory(failtest)
endif()
if(EIGEN_LEAVE_TEST_IN_ALL_TARGET)
add_subdirectory(blas)
add_subdirectory(lapack)
else()
add_subdirectory(blas EXCLUDE_FROM_ALL)
add_subdirectory(lapack EXCLUDE_FROM_ALL)
endif()
# add SYCL
option(EIGEN_TEST_SYCL "Add Sycl support." OFF)
option(EIGEN_SYCL_TRISYCL "Use the triSYCL Sycl implementation (ComputeCPP by default)." OFF)
if(EIGEN_TEST_SYCL)
set (CMAKE_MODULE_PATH "${CMAKE_ROOT}/Modules" "cmake/Modules/" "${CMAKE_MODULE_PATH}")
find_package(Threads REQUIRED)
if(EIGEN_SYCL_TRISYCL)
message(STATUS "Using triSYCL")
include(FindTriSYCL)
else()
message(STATUS "Using ComputeCPP SYCL")
include(FindComputeCpp)
set(COMPUTECPP_DRIVER_DEFAULT_VALUE OFF)
if (NOT MSVC)
set(COMPUTECPP_DRIVER_DEFAULT_VALUE ON)
endif()
option(COMPUTECPP_USE_COMPILER_DRIVER
"Use ComputeCpp driver instead of a 2 steps compilation"
${COMPUTECPP_DRIVER_DEFAULT_VALUE}
)
endif(EIGEN_SYCL_TRISYCL)
option(EIGEN_DONT_VECTORIZE_SYCL "Don't use vectorisation in the SYCL tests." OFF)
if(EIGEN_DONT_VECTORIZE_SYCL)
message(STATUS "Disabling SYCL vectorization in tests/examples")
# When disabling SYCL vectorization, also disable Eigen default vectorization
add_definitions(-DEIGEN_DONT_VECTORIZE=1)
add_definitions(-DEIGEN_DONT_VECTORIZE_SYCL=1)
endif()
endif()
add_subdirectory(unsupported)
add_subdirectory(demos EXCLUDE_FROM_ALL)
# must be after test and unsupported, for configuring buildtests.in
add_subdirectory(scripts EXCLUDE_FROM_ALL)
# TODO: consider also replacing EIGEN_BUILD_BTL by a custom target "make btl"?
if(EIGEN_BUILD_BTL)
add_subdirectory(bench/btl EXCLUDE_FROM_ALL)
endif()
if(NOT WIN32)
add_subdirectory(bench/spbench EXCLUDE_FROM_ALL)
endif()
configure_file(scripts/cdashtesting.cmake.in cdashtesting.cmake @ONLY)
if(BUILD_TESTING)
ei_testing_print_summary()
endif()
message(STATUS "")
message(STATUS "Configured Eigen ${EIGEN_VERSION_NUMBER}")
message(STATUS "")
string(TOLOWER "${CMAKE_GENERATOR}" cmake_generator_tolower)
if(cmake_generator_tolower MATCHES "makefile")
message(STATUS "Available targets (use: make TARGET):")
else()
message(STATUS "Available targets (use: cmake --build . --target TARGET):")
endif()
message(STATUS "---------+--------------------------------------------------------------")
message(STATUS "Target | Description")
message(STATUS "---------+--------------------------------------------------------------")
message(STATUS "install | Install Eigen. Headers will be installed to:")
message(STATUS " | <CMAKE_INSTALL_PREFIX>/<INCLUDE_INSTALL_DIR>")
message(STATUS " | Using the following values:")
message(STATUS " | CMAKE_INSTALL_PREFIX: ${CMAKE_INSTALL_PREFIX}")
message(STATUS " | INCLUDE_INSTALL_DIR: ${INCLUDE_INSTALL_DIR}")
message(STATUS " | Change the install location of Eigen headers using:")
message(STATUS " | cmake . -DCMAKE_INSTALL_PREFIX=yourprefix")
message(STATUS " | Or:")
message(STATUS " | cmake . -DINCLUDE_INSTALL_DIR=yourdir")
message(STATUS "doc | Generate the API documentation, requires Doxygen & LaTeX")
if(BUILD_TESTING)
message(STATUS "check | Build and run the unit-tests. Read this page:")
message(STATUS " | http://eigen.tuxfamily.org/index.php?title=Tests")
endif()
message(STATUS "blas | Build BLAS library (not the same thing as Eigen)")
message(STATUS "uninstall| Remove files installed by the install target")
message(STATUS "---------+--------------------------------------------------------------")
message(STATUS "")
set ( EIGEN_VERSION_STRING ${EIGEN_VERSION_NUMBER} )
set ( EIGEN_VERSION_MAJOR ${EIGEN_WORLD_VERSION} )
set ( EIGEN_VERSION_MINOR ${EIGEN_MAJOR_VERSION} )
set ( EIGEN_VERSION_PATCH ${EIGEN_MINOR_VERSION} )
set ( EIGEN_DEFINITIONS "")
set ( EIGEN_INCLUDE_DIR "${CMAKE_INSTALL_PREFIX}/${INCLUDE_INSTALL_DIR}" )
set ( EIGEN_ROOT_DIR ${CMAKE_INSTALL_PREFIX} )
include (CMakePackageConfigHelpers)
# Imported target support
add_library (eigen INTERFACE)
add_library (Eigen3::Eigen ALIAS eigen)
target_compile_definitions (eigen INTERFACE ${EIGEN_DEFINITIONS})
target_include_directories (eigen INTERFACE
$<BUILD_INTERFACE:${CMAKE_CURRENT_SOURCE_DIR}>
$<INSTALL_INTERFACE:${INCLUDE_INSTALL_DIR}>
)
# Export as title case Eigen
set_target_properties (eigen PROPERTIES EXPORT_NAME Eigen)
install (TARGETS eigen EXPORT Eigen3Targets)
configure_package_config_file (
${CMAKE_CURRENT_SOURCE_DIR}/cmake/Eigen3Config.cmake.in
${CMAKE_CURRENT_BINARY_DIR}/Eigen3Config.cmake
PATH_VARS EIGEN_INCLUDE_DIR EIGEN_ROOT_DIR
INSTALL_DESTINATION ${CMAKEPACKAGE_INSTALL_DIR}
NO_CHECK_REQUIRED_COMPONENTS_MACRO # Eigen does not provide components
)
# Remove CMAKE_SIZEOF_VOID_P from Eigen3ConfigVersion.cmake since Eigen does
# not depend on architecture specific settings or libraries. More
# specifically, an Eigen3Config.cmake generated from a 64 bit target can be
# used for 32 bit targets as well (and vice versa).
set (_Eigen3_CMAKE_SIZEOF_VOID_P ${CMAKE_SIZEOF_VOID_P})
unset (CMAKE_SIZEOF_VOID_P)
write_basic_package_version_file (Eigen3ConfigVersion.cmake
VERSION ${EIGEN_VERSION_NUMBER}
COMPATIBILITY SameMajorVersion)
set (CMAKE_SIZEOF_VOID_P ${_Eigen3_CMAKE_SIZEOF_VOID_P})
# The Eigen target will be located in the Eigen3 namespace. Other CMake
# targets can refer to it using Eigen3::Eigen.
export (TARGETS eigen NAMESPACE Eigen3:: FILE Eigen3Targets.cmake)
# Export Eigen3 package to CMake registry such that it can be easily found by
# CMake even if it has not been installed to a standard directory.
export (PACKAGE Eigen3)
install (EXPORT Eigen3Targets NAMESPACE Eigen3:: DESTINATION ${CMAKEPACKAGE_INSTALL_DIR})
install ( FILES ${CMAKE_CURRENT_SOURCE_DIR}/cmake/UseEigen3.cmake
${CMAKE_CURRENT_BINARY_DIR}/Eigen3Config.cmake
${CMAKE_CURRENT_BINARY_DIR}/Eigen3ConfigVersion.cmake
DESTINATION ${CMAKEPACKAGE_INSTALL_DIR} )
# Add uninstall target
add_custom_target ( uninstall
COMMAND ${CMAKE_COMMAND} -P ${CMAKE_CURRENT_SOURCE_DIR}/cmake/EigenUninstall.cmake)
if (EIGEN_SPLIT_TESTSUITE)
ei_split_testsuite("${EIGEN_SPLIT_TESTSUITE}")
endif()

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/*
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26
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/*
Copyright (c) 2011, Intel Corporation. All rights reserved.
Redistribution and use in source and binary forms, with or without modification,
are permitted provided that the following conditions are met:
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(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
*/

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libs/eigen/COPYING.GPL Normal file
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GNU GENERAL PUBLIC LICENSE
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502
libs/eigen/COPYING.LGPL Normal file
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@@ -0,0 +1,502 @@
GNU LESSER GENERAL PUBLIC LICENSE
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Yoyodyne, Inc., hereby disclaims all copyright interest in the
library `Frob' (a library for tweaking knobs) written by James Random Hacker.
<signature of Ty Coon>, 1 April 1990
Ty Coon, President of Vice
That's all there is to it!

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Minpack Copyright Notice (1999) University of Chicago. 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. The end-user documentation included with the
redistribution, if any, must include the following
acknowledgment:
"This product includes software developed by the
University of Chicago, as Operator of Argonne National
Laboratory.
Alternately, this acknowledgment may appear in the software
itself, if and wherever such third-party acknowledgments
normally appear.
4. WARRANTY DISCLAIMER. THE SOFTWARE IS SUPPLIED "AS IS"
WITHOUT WARRANTY OF ANY KIND. THE COPYRIGHT HOLDER, THE
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THEIR EMPLOYEES: (1) DISCLAIM ANY WARRANTIES, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO ANY IMPLIED WARRANTIES
OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, TITLE
OR NON-INFRINGEMENT, (2) DO NOT ASSUME ANY LEGAL LIABILITY
OR RESPONSIBILITY FOR THE ACCURACY, COMPLETENESS, OR
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THE SOFTWARE WOULD NOT INFRINGE PRIVATELY OWNED RIGHTS, (4)
DO NOT WARRANT THAT THE SOFTWARE WILL FUNCTION
UNINTERRUPTED, THAT IT IS ERROR-FREE OR THAT ANY ERRORS WILL
BE CORRECTED.
5. LIMITATION OF LIABILITY. IN NO EVENT WILL THE COPYRIGHT
HOLDER, THE UNITED STATES, THE UNITED STATES DEPARTMENT OF
ENERGY, OR THEIR EMPLOYEES: BE LIABLE FOR ANY INDIRECT,
INCIDENTAL, CONSEQUENTIAL, SPECIAL OR PUNITIVE DAMAGES OF
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SUCH LIABILITY IS ASSERTED ON THE BASIS OF CONTRACT, TORT
(INCLUDING NEGLIGENCE OR STRICT LIABILITY), OR OTHERWISE,
EVEN IF ANY OF SAID PARTIES HAS BEEN WARNED OF THE
POSSIBILITY OF SUCH LOSS OR DAMAGES.

373
libs/eigen/COPYING.MPL2 Normal file
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Mozilla Public License Version 2.0
==================================
1. Definitions
--------------
1.1. "Contributor"
means each individual or legal entity that creates, contributes to
the creation of, or owns Covered Software.
1.2. "Contributor Version"
means the combination of the Contributions of others (if any) used
by a Contributor and that particular Contributor's Contribution.
1.3. "Contribution"
means Covered Software of a particular Contributor.
1.4. "Covered Software"
means Source Code Form to which the initial Contributor has attached
the notice in Exhibit A, the Executable Form of such Source Code
Form, and Modifications of such Source Code Form, in each case
including portions thereof.
1.5. "Incompatible With Secondary Licenses"
means
(a) that the initial Contributor has attached the notice described
in Exhibit B to the Covered Software; or
(b) that the Covered Software was made available under the terms of
version 1.1 or earlier of the License, but not also under the
terms of a Secondary License.
1.6. "Executable Form"
means any form of the work other than Source Code Form.
1.7. "Larger Work"
means a work that combines Covered Software with other material, in
a separate file or files, that is not Covered Software.
1.8. "License"
means this document.
1.9. "Licensable"
means having the right to grant, to the maximum extent possible,
whether at the time of the initial grant or subsequently, any and
all of the rights conveyed by this License.
1.10. "Modifications"
means any of the following:
(a) any file in Source Code Form that results from an addition to,
deletion from, or modification of the contents of Covered
Software; or
(b) any new file in Source Code Form that contains any Covered
Software.
1.11. "Patent Claims" of a Contributor
means any patent claim(s), including without limitation, method,
process, and apparatus claims, in any patent Licensable by such
Contributor that would be infringed, but for the grant of the
License, by the making, using, selling, offering for sale, having
made, import, or transfer of either its Contributions or its
Contributor Version.
1.12. "Secondary License"
means either the GNU General Public License, Version 2.0, the GNU
Lesser General Public License, Version 2.1, the GNU Affero General
Public License, Version 3.0, or any later versions of those
licenses.
1.13. "Source Code Form"
means the form of the work preferred for making modifications.
1.14. "You" (or "Your")
means an individual or a legal entity exercising rights under this
License. For legal entities, "You" includes any entity that
controls, is controlled by, or is under common control with You. For
purposes of this definition, "control" means (a) the power, direct
or indirect, to cause the direction or management of such entity,
whether by contract or otherwise, or (b) ownership of more than
fifty percent (50%) of the outstanding shares or beneficial
ownership of such entity.
2. License Grants and Conditions
--------------------------------
2.1. Grants
Each Contributor hereby grants You a world-wide, royalty-free,
non-exclusive license:
(a) under intellectual property rights (other than patent or trademark)
Licensable by such Contributor to use, reproduce, make available,
modify, display, perform, distribute, and otherwise exploit its
Contributions, either on an unmodified basis, with Modifications, or
as part of a Larger Work; and
(b) under Patent Claims of such Contributor to make, use, sell, offer
for sale, have made, import, and otherwise transfer either its
Contributions or its Contributor Version.
2.2. Effective Date
The licenses granted in Section 2.1 with respect to any Contribution
become effective for each Contribution on the date the Contributor first
distributes such Contribution.
2.3. Limitations on Grant Scope
The licenses granted in this Section 2 are the only rights granted under
this License. No additional rights or licenses will be implied from the
distribution or licensing of Covered Software under this License.
Notwithstanding Section 2.1(b) above, no patent license is granted by a
Contributor:
(a) for any code that a Contributor has removed from Covered Software;
or
(b) for infringements caused by: (i) Your and any other third party's
modifications of Covered Software, or (ii) the combination of its
Contributions with other software (except as part of its Contributor
Version); or
(c) under Patent Claims infringed by Covered Software in the absence of
its Contributions.
This License does not grant any rights in the trademarks, service marks,
or logos of any Contributor (except as may be necessary to comply with
the notice requirements in Section 3.4).
2.4. Subsequent Licenses
No Contributor makes additional grants as a result of Your choice to
distribute the Covered Software under a subsequent version of this
License (see Section 10.2) or under the terms of a Secondary License (if
permitted under the terms of Section 3.3).
2.5. Representation
Each Contributor represents that the Contributor believes its
Contributions are its original creation(s) or it has sufficient rights
to grant the rights to its Contributions conveyed by this License.
2.6. Fair Use
This License is not intended to limit any rights You have under
applicable copyright doctrines of fair use, fair dealing, or other
equivalents.
2.7. Conditions
Sections 3.1, 3.2, 3.3, and 3.4 are conditions of the licenses granted
in Section 2.1.
3. Responsibilities
-------------------
3.1. Distribution of Source Form
All distribution of Covered Software in Source Code Form, including any
Modifications that You create or to which You contribute, must be under
the terms of this License. You must inform recipients that the Source
Code Form of the Covered Software is governed by the terms of this
License, and how they can obtain a copy of this License. You may not
attempt to alter or restrict the recipients' rights in the Source Code
Form.
3.2. Distribution of Executable Form
If You distribute Covered Software in Executable Form then:
(a) such Covered Software must also be made available in Source Code
Form, as described in Section 3.1, and You must inform recipients of
the Executable Form how they can obtain a copy of such Source Code
Form by reasonable means in a timely manner, at a charge no more
than the cost of distribution to the recipient; and
(b) You may distribute such Executable Form under the terms of this
License, or sublicense it under different terms, provided that the
license for the Executable Form does not attempt to limit or alter
the recipients' rights in the Source Code Form under this License.
3.3. Distribution of a Larger Work
You may create and distribute a Larger Work under terms of Your choice,
provided that You also comply with the requirements of this License for
the Covered Software. If the Larger Work is a combination of Covered
Software with a work governed by one or more Secondary Licenses, and the
Covered Software is not Incompatible With Secondary Licenses, this
License permits You to additionally distribute such Covered Software
under the terms of such Secondary License(s), so that the recipient of
the Larger Work may, at their option, further distribute the Covered
Software under the terms of either this License or such Secondary
License(s).
3.4. Notices
You may not remove or alter the substance of any license notices
(including copyright notices, patent notices, disclaimers of warranty,
or limitations of liability) contained within the Source Code Form of
the Covered Software, except that You may alter any license notices to
the extent required to remedy known factual inaccuracies.
3.5. Application of Additional Terms
You may choose to offer, and to charge a fee for, warranty, support,
indemnity or liability obligations to one or more recipients of Covered
Software. However, You may do so only on Your own behalf, and not on
behalf of any Contributor. You must make it absolutely clear that any
such warranty, support, indemnity, or liability obligation is offered by
You alone, and You hereby agree to indemnify every Contributor for any
liability incurred by such Contributor as a result of warranty, support,
indemnity or liability terms You offer. You may include additional
disclaimers of warranty and limitations of liability specific to any
jurisdiction.
4. Inability to Comply Due to Statute or Regulation
---------------------------------------------------
If it is impossible for You to comply with any of the terms of this
License with respect to some or all of the Covered Software due to
statute, judicial order, or regulation then You must: (a) comply with
the terms of this License to the maximum extent possible; and (b)
describe the limitations and the code they affect. Such description must
be placed in a text file included with all distributions of the Covered
Software under this License. Except to the extent prohibited by statute
or regulation, such description must be sufficiently detailed for a
recipient of ordinary skill to be able to understand it.
5. Termination
--------------
5.1. The rights granted under this License will terminate automatically
if You fail to comply with any of its terms. However, if You become
compliant, then the rights granted under this License from a particular
Contributor are reinstated (a) provisionally, unless and until such
Contributor explicitly and finally terminates Your grants, and (b) on an
ongoing basis, if such Contributor fails to notify You of the
non-compliance by some reasonable means prior to 60 days after You have
come back into compliance. Moreover, Your grants from a particular
Contributor are reinstated on an ongoing basis if such Contributor
notifies You of the non-compliance by some reasonable means, this is the
first time You have received notice of non-compliance with this License
from such Contributor, and You become compliant prior to 30 days after
Your receipt of the notice.
5.2. If You initiate litigation against any entity by asserting a patent
infringement claim (excluding declaratory judgment actions,
counter-claims, and cross-claims) alleging that a Contributor Version
directly or indirectly infringes any patent, then the rights granted to
You by any and all Contributors for the Covered Software under Section
2.1 of this License shall terminate.
5.3. In the event of termination under Sections 5.1 or 5.2 above, all
end user license agreements (excluding distributors and resellers) which
have been validly granted by You or Your distributors under this License
prior to termination shall survive termination.
************************************************************************
* *
* 6. Disclaimer of Warranty *
* ------------------------- *
* *
* Covered Software is provided under this License on an "as is" *
* basis, without warranty of any kind, either expressed, implied, or *
* statutory, including, without limitation, warranties that the *
* Covered Software is free of defects, merchantable, fit for a *
* particular purpose or non-infringing. The entire risk as to the *
* quality and performance of the Covered Software is with You. *
* Should any Covered Software prove defective in any respect, You *
* (not any Contributor) assume the cost of any necessary servicing, *
* repair, or correction. This disclaimer of warranty constitutes an *
* essential part of this License. No use of any Covered Software is *
* authorized under this License except under this disclaimer. *
* *
************************************************************************
************************************************************************
* *
* 7. Limitation of Liability *
* -------------------------- *
* *
* Under no circumstances and under no legal theory, whether tort *
* (including negligence), contract, or otherwise, shall any *
* Contributor, or anyone who distributes Covered Software as *
* permitted above, be liable to You for any direct, indirect, *
* special, incidental, or consequential damages of any character *
* including, without limitation, damages for lost profits, loss of *
* goodwill, work stoppage, computer failure or malfunction, or any *
* and all other commercial damages or losses, even if such party *
* shall have been informed of the possibility of such damages. This *
* limitation of liability shall not apply to liability for death or *
* personal injury resulting from such party's negligence to the *
* extent applicable law prohibits such limitation. Some *
* jurisdictions do not allow the exclusion or limitation of *
* incidental or consequential damages, so this exclusion and *
* limitation may not apply to You. *
* *
************************************************************************
8. Litigation
-------------
Any litigation relating to this License may be brought only in the
courts of a jurisdiction where the defendant maintains its principal
place of business and such litigation shall be governed by laws of that
jurisdiction, without reference to its conflict-of-law provisions.
Nothing in this Section shall prevent a party's ability to bring
cross-claims or counter-claims.
9. Miscellaneous
----------------
This License represents the complete agreement concerning the subject
matter hereof. If any provision of this License is held to be
unenforceable, such provision shall be reformed only to the extent
necessary to make it enforceable. Any law or regulation which provides
that the language of a contract shall be construed against the drafter
shall not be used to construe this License against a Contributor.
10. Versions of the License
---------------------------
10.1. New Versions
Mozilla Foundation is the license steward. Except as provided in Section
10.3, no one other than the license steward has the right to modify or
publish new versions of this License. Each version will be given a
distinguishing version number.
10.2. Effect of New Versions
You may distribute the Covered Software under the terms of the version
of the License under which You originally received the Covered Software,
or under the terms of any subsequent version published by the license
steward.
10.3. Modified Versions
If you create software not governed by this License, and you want to
create a new license for such software, you may create and use a
modified version of this License if you rename the license and remove
any references to the name of the license steward (except to note that
such modified license differs from this License).
10.4. Distributing Source Code Form that is Incompatible With Secondary
Licenses
If You choose to distribute Source Code Form that is Incompatible With
Secondary Licenses under the terms of this version of the License, the
notice described in Exhibit B of this License must be attached.
Exhibit A - Source Code Form License Notice
-------------------------------------------
This Source Code Form is subject to the terms of the Mozilla Public
License, v. 2.0. If a copy of the MPL was not distributed with this
file, You can obtain one at http://mozilla.org/MPL/2.0/.
If it is not possible or desirable to put the notice in a particular
file, then You may include the notice in a location (such as a LICENSE
file in a relevant directory) where a recipient would be likely to look
for such a notice.
You may add additional accurate notices of copyright ownership.
Exhibit B - "Incompatible With Secondary Licenses" Notice
---------------------------------------------------------
This Source Code Form is "Incompatible With Secondary Licenses", as
defined by the Mozilla Public License, v. 2.0.

18
libs/eigen/COPYING.README Normal file
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Eigen is primarily MPL2 licensed. See COPYING.MPL2 and these links:
http://www.mozilla.org/MPL/2.0/
http://www.mozilla.org/MPL/2.0/FAQ.html
Some files contain third-party code under BSD or LGPL licenses, whence the other
COPYING.* files here.
All the LGPL code is either LGPL 2.1-only, or LGPL 2.1-or-later.
For this reason, the COPYING.LGPL file contains the LGPL 2.1 text.
If you want to guarantee that the Eigen code that you are #including is licensed
under the MPL2 and possibly more permissive licenses (like BSD), #define this
preprocessor symbol:
EIGEN_MPL2_ONLY
For example, with most compilers, you could add this to your project CXXFLAGS:
-DEIGEN_MPL2_ONLY
This will cause a compilation error to be generated if you #include any code that is
LGPL licensed.

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@@ -0,0 +1,17 @@
## This file should be placed in the root directory of your project.
## Then modify the CMakeLists.txt file in the root directory of your
## project to incorporate the testing dashboard.
## # The following are required to uses Dart and the Cdash dashboard
## enable_testing()
## include(CTest)
set(CTEST_PROJECT_NAME "Eigen")
set(CTEST_NIGHTLY_START_TIME "00:00:00 UTC")
set(CTEST_DROP_METHOD "http")
set(CTEST_DROP_SITE "my.cdash.org")
set(CTEST_DROP_LOCATION "/submit.php?project=Eigen")
set(CTEST_DROP_SITE_CDASH TRUE)
#set(CTEST_PROJECT_SUBPROJECTS
#Official
#Unsupported
#)

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@@ -0,0 +1,4 @@
set(CTEST_CUSTOM_MAXIMUM_NUMBER_OF_WARNINGS "2000")
set(CTEST_CUSTOM_MAXIMUM_NUMBER_OF_ERRORS "2000")
list(APPEND CTEST_CUSTOM_ERROR_EXCEPTION @EIGEN_CTEST_ERROR_EXCEPTION@)

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libs/eigen/Eigen/Cholesky Normal file
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// This file is part of Eigen, a lightweight C++ template library
// for linear algebra.
//
// This Source Code Form is subject to the terms of the Mozilla
// Public License v. 2.0. If a copy of the MPL was not distributed
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
#ifndef EIGEN_CHOLESKY_MODULE_H
#define EIGEN_CHOLESKY_MODULE_H
#include "Core"
#include "Jacobi"
#include "src/Core/util/DisableStupidWarnings.h"
/** \defgroup Cholesky_Module Cholesky module
*
*
*
* This module provides two variants of the Cholesky decomposition for selfadjoint (hermitian) matrices.
* Those decompositions are also accessible via the following methods:
* - MatrixBase::llt()
* - MatrixBase::ldlt()
* - SelfAdjointView::llt()
* - SelfAdjointView::ldlt()
*
* \code
* #include <Eigen/Cholesky>
* \endcode
*/
#include "src/Cholesky/LLT.h"
#include "src/Cholesky/LDLT.h"
#ifdef EIGEN_USE_LAPACKE
#ifdef EIGEN_USE_MKL
#include "mkl_lapacke.h"
#else
#include "src/misc/lapacke.h"
#endif
#include "src/Cholesky/LLT_LAPACKE.h"
#endif
#include "src/Core/util/ReenableStupidWarnings.h"
#endif // EIGEN_CHOLESKY_MODULE_H

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@@ -0,0 +1,48 @@
// This file is part of Eigen, a lightweight C++ template library
// for linear algebra.
//
// This Source Code Form is subject to the terms of the Mozilla
// Public License v. 2.0. If a copy of the MPL was not distributed
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
#ifndef EIGEN_CHOLMODSUPPORT_MODULE_H
#define EIGEN_CHOLMODSUPPORT_MODULE_H
#include "SparseCore"
#include "src/Core/util/DisableStupidWarnings.h"
extern "C" {
#include <cholmod.h>
}
/** \ingroup Support_modules
* \defgroup CholmodSupport_Module CholmodSupport module
*
* This module provides an interface to the Cholmod library which is part of the <a href="http://www.suitesparse.com">suitesparse</a> package.
* It provides the two following main factorization classes:
* - class CholmodSupernodalLLT: a supernodal LLT Cholesky factorization.
* - class CholmodDecomposiiton: a general L(D)LT Cholesky factorization with automatic or explicit runtime selection of the underlying factorization method (supernodal or simplicial).
*
* For the sake of completeness, this module also propose the two following classes:
* - class CholmodSimplicialLLT
* - class CholmodSimplicialLDLT
* Note that these classes does not bring any particular advantage compared to the built-in
* SimplicialLLT and SimplicialLDLT factorization classes.
*
* \code
* #include <Eigen/CholmodSupport>
* \endcode
*
* In order to use this module, the cholmod headers must be accessible from the include paths, and your binary must be linked to the cholmod library and its dependencies.
* The dependencies depend on how cholmod has been compiled.
* For a cmake based project, you can use our FindCholmod.cmake module to help you in this task.
*
*/
#include "src/CholmodSupport/CholmodSupport.h"
#include "src/Core/util/ReenableStupidWarnings.h"
#endif // EIGEN_CHOLMODSUPPORT_MODULE_H

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libs/eigen/Eigen/Core Normal file
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// This file is part of Eigen, a lightweight C++ template library
// for linear algebra.
//
// Copyright (C) 2008 Gael Guennebaud <gael.guennebaud@inria.fr>
// Copyright (C) 2007-2011 Benoit Jacob <jacob.benoit.1@gmail.com>
//
// This Source Code Form is subject to the terms of the Mozilla
// Public License v. 2.0. If a copy of the MPL was not distributed
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
#ifndef EIGEN_CORE_H
#define EIGEN_CORE_H
// first thing Eigen does: stop the compiler from reporting useless warnings.
#include "src/Core/util/DisableStupidWarnings.h"
// then include this file where all our macros are defined. It's really important to do it first because
// it's where we do all the compiler/OS/arch detections and define most defaults.
#include "src/Core/util/Macros.h"
// This detects SSE/AVX/NEON/etc. and configure alignment settings
#include "src/Core/util/ConfigureVectorization.h"
// We need cuda_runtime.h/hip_runtime.h to ensure that
// the EIGEN_USING_STD macro works properly on the device side
#if defined(EIGEN_CUDACC)
#include <cuda_runtime.h>
#elif defined(EIGEN_HIPCC)
#include <hip/hip_runtime.h>
#endif
#ifdef EIGEN_EXCEPTIONS
#include <new>
#endif
// Disable the ipa-cp-clone optimization flag with MinGW 6.x or newer (enabled by default with -O3)
// See http://eigen.tuxfamily.org/bz/show_bug.cgi?id=556 for details.
#if EIGEN_COMP_MINGW && EIGEN_GNUC_AT_LEAST(4,6) && EIGEN_GNUC_AT_MOST(5,5)
#pragma GCC optimize ("-fno-ipa-cp-clone")
#endif
// Prevent ICC from specializing std::complex operators that silently fail
// on device. This allows us to use our own device-compatible specializations
// instead.
#if defined(EIGEN_COMP_ICC) && defined(EIGEN_GPU_COMPILE_PHASE) \
&& !defined(_OVERRIDE_COMPLEX_SPECIALIZATION_)
#define _OVERRIDE_COMPLEX_SPECIALIZATION_ 1
#endif
#include <complex>
// this include file manages BLAS and MKL related macros
// and inclusion of their respective header files
#include "src/Core/util/MKL_support.h"
#if defined(EIGEN_HAS_CUDA_FP16) || defined(EIGEN_HAS_HIP_FP16)
#define EIGEN_HAS_GPU_FP16
#endif
#if defined(EIGEN_HAS_CUDA_BF16) || defined(EIGEN_HAS_HIP_BF16)
#define EIGEN_HAS_GPU_BF16
#endif
#if (defined _OPENMP) && (!defined EIGEN_DONT_PARALLELIZE)
#define EIGEN_HAS_OPENMP
#endif
#ifdef EIGEN_HAS_OPENMP
#include <omp.h>
#endif
// MSVC for windows mobile does not have the errno.h file
#if !(EIGEN_COMP_MSVC && EIGEN_OS_WINCE) && !EIGEN_COMP_ARM
#define EIGEN_HAS_ERRNO
#endif
#ifdef EIGEN_HAS_ERRNO
#include <cerrno>
#endif
#include <cstddef>
#include <cstdlib>
#include <cmath>
#include <cassert>
#include <functional>
#include <sstream>
#ifndef EIGEN_NO_IO
#include <iosfwd>
#endif
#include <cstring>
#include <string>
#include <limits>
#include <climits> // for CHAR_BIT
// for min/max:
#include <algorithm>
#if EIGEN_HAS_CXX11
#include <array>
#endif
// for std::is_nothrow_move_assignable
#ifdef EIGEN_INCLUDE_TYPE_TRAITS
#include <type_traits>
#endif
// for outputting debug info
#ifdef EIGEN_DEBUG_ASSIGN
#include <iostream>
#endif
// required for __cpuid, needs to be included after cmath
#if EIGEN_COMP_MSVC && EIGEN_ARCH_i386_OR_x86_64 && !EIGEN_OS_WINCE
#include <intrin.h>
#endif
#if defined(EIGEN_USE_SYCL)
#undef min
#undef max
#undef isnan
#undef isinf
#undef isfinite
#include <CL/sycl.hpp>
#include <map>
#include <memory>
#include <utility>
#include <thread>
#ifndef EIGEN_SYCL_LOCAL_THREAD_DIM0
#define EIGEN_SYCL_LOCAL_THREAD_DIM0 16
#endif
#ifndef EIGEN_SYCL_LOCAL_THREAD_DIM1
#define EIGEN_SYCL_LOCAL_THREAD_DIM1 16
#endif
#endif
#if defined EIGEN2_SUPPORT_STAGE40_FULL_EIGEN3_STRICTNESS || defined EIGEN2_SUPPORT_STAGE30_FULL_EIGEN3_API || defined EIGEN2_SUPPORT_STAGE20_RESOLVE_API_CONFLICTS || defined EIGEN2_SUPPORT_STAGE10_FULL_EIGEN2_API || defined EIGEN2_SUPPORT
// This will generate an error message:
#error Eigen2-support is only available up to version 3.2. Please go to "http://eigen.tuxfamily.org/index.php?title=Eigen2" for further information
#endif
namespace Eigen {
// we use size_t frequently and we'll never remember to prepend it with std:: every time just to
// ensure QNX/QCC support
using std::size_t;
// gcc 4.6.0 wants std:: for ptrdiff_t
using std::ptrdiff_t;
}
/** \defgroup Core_Module Core module
* This is the main module of Eigen providing dense matrix and vector support
* (both fixed and dynamic size) with all the features corresponding to a BLAS library
* and much more...
*
* \code
* #include <Eigen/Core>
* \endcode
*/
#include "src/Core/util/Constants.h"
#include "src/Core/util/Meta.h"
#include "src/Core/util/ForwardDeclarations.h"
#include "src/Core/util/StaticAssert.h"
#include "src/Core/util/XprHelper.h"
#include "src/Core/util/Memory.h"
#include "src/Core/util/IntegralConstant.h"
#include "src/Core/util/SymbolicIndex.h"
#include "src/Core/NumTraits.h"
#include "src/Core/MathFunctions.h"
#include "src/Core/GenericPacketMath.h"
#include "src/Core/MathFunctionsImpl.h"
#include "src/Core/arch/Default/ConjHelper.h"
// Generic half float support
#include "src/Core/arch/Default/Half.h"
#include "src/Core/arch/Default/BFloat16.h"
#include "src/Core/arch/Default/TypeCasting.h"
#include "src/Core/arch/Default/GenericPacketMathFunctionsFwd.h"
#if defined EIGEN_VECTORIZE_AVX512
#include "src/Core/arch/SSE/PacketMath.h"
#include "src/Core/arch/SSE/TypeCasting.h"
#include "src/Core/arch/SSE/Complex.h"
#include "src/Core/arch/AVX/PacketMath.h"
#include "src/Core/arch/AVX/TypeCasting.h"
#include "src/Core/arch/AVX/Complex.h"
#include "src/Core/arch/AVX512/PacketMath.h"
#include "src/Core/arch/AVX512/TypeCasting.h"
#include "src/Core/arch/AVX512/Complex.h"
#include "src/Core/arch/SSE/MathFunctions.h"
#include "src/Core/arch/AVX/MathFunctions.h"
#include "src/Core/arch/AVX512/MathFunctions.h"
#elif defined EIGEN_VECTORIZE_AVX
// Use AVX for floats and doubles, SSE for integers
#include "src/Core/arch/SSE/PacketMath.h"
#include "src/Core/arch/SSE/TypeCasting.h"
#include "src/Core/arch/SSE/Complex.h"
#include "src/Core/arch/AVX/PacketMath.h"
#include "src/Core/arch/AVX/TypeCasting.h"
#include "src/Core/arch/AVX/Complex.h"
#include "src/Core/arch/SSE/MathFunctions.h"
#include "src/Core/arch/AVX/MathFunctions.h"
#elif defined EIGEN_VECTORIZE_SSE
#include "src/Core/arch/SSE/PacketMath.h"
#include "src/Core/arch/SSE/TypeCasting.h"
#include "src/Core/arch/SSE/MathFunctions.h"
#include "src/Core/arch/SSE/Complex.h"
#elif defined(EIGEN_VECTORIZE_ALTIVEC) || defined(EIGEN_VECTORIZE_VSX)
#include "src/Core/arch/AltiVec/PacketMath.h"
#include "src/Core/arch/AltiVec/MathFunctions.h"
#include "src/Core/arch/AltiVec/Complex.h"
#elif defined EIGEN_VECTORIZE_NEON
#include "src/Core/arch/NEON/PacketMath.h"
#include "src/Core/arch/NEON/TypeCasting.h"
#include "src/Core/arch/NEON/MathFunctions.h"
#include "src/Core/arch/NEON/Complex.h"
#elif defined EIGEN_VECTORIZE_SVE
#include "src/Core/arch/SVE/PacketMath.h"
#include "src/Core/arch/SVE/TypeCasting.h"
#include "src/Core/arch/SVE/MathFunctions.h"
#elif defined EIGEN_VECTORIZE_ZVECTOR
#include "src/Core/arch/ZVector/PacketMath.h"
#include "src/Core/arch/ZVector/MathFunctions.h"
#include "src/Core/arch/ZVector/Complex.h"
#elif defined EIGEN_VECTORIZE_MSA
#include "src/Core/arch/MSA/PacketMath.h"
#include "src/Core/arch/MSA/MathFunctions.h"
#include "src/Core/arch/MSA/Complex.h"
#endif
#if defined EIGEN_VECTORIZE_GPU
#include "src/Core/arch/GPU/PacketMath.h"
#include "src/Core/arch/GPU/MathFunctions.h"
#include "src/Core/arch/GPU/TypeCasting.h"
#endif
#if defined(EIGEN_USE_SYCL)
#include "src/Core/arch/SYCL/SyclMemoryModel.h"
#include "src/Core/arch/SYCL/InteropHeaders.h"
#if !defined(EIGEN_DONT_VECTORIZE_SYCL)
#include "src/Core/arch/SYCL/PacketMath.h"
#include "src/Core/arch/SYCL/MathFunctions.h"
#include "src/Core/arch/SYCL/TypeCasting.h"
#endif
#endif
#include "src/Core/arch/Default/Settings.h"
// This file provides generic implementations valid for scalar as well
#include "src/Core/arch/Default/GenericPacketMathFunctions.h"
#include "src/Core/functors/TernaryFunctors.h"
#include "src/Core/functors/BinaryFunctors.h"
#include "src/Core/functors/UnaryFunctors.h"
#include "src/Core/functors/NullaryFunctors.h"
#include "src/Core/functors/StlFunctors.h"
#include "src/Core/functors/AssignmentFunctors.h"
// Specialized functors to enable the processing of complex numbers
// on CUDA devices
#ifdef EIGEN_CUDACC
#include "src/Core/arch/CUDA/Complex.h"
#endif
#include "src/Core/util/IndexedViewHelper.h"
#include "src/Core/util/ReshapedHelper.h"
#include "src/Core/ArithmeticSequence.h"
#ifndef EIGEN_NO_IO
#include "src/Core/IO.h"
#endif
#include "src/Core/DenseCoeffsBase.h"
#include "src/Core/DenseBase.h"
#include "src/Core/MatrixBase.h"
#include "src/Core/EigenBase.h"
#include "src/Core/Product.h"
#include "src/Core/CoreEvaluators.h"
#include "src/Core/AssignEvaluator.h"
#ifndef EIGEN_PARSED_BY_DOXYGEN // work around Doxygen bug triggered by Assign.h r814874
// at least confirmed with Doxygen 1.5.5 and 1.5.6
#include "src/Core/Assign.h"
#endif
#include "src/Core/ArrayBase.h"
#include "src/Core/util/BlasUtil.h"
#include "src/Core/DenseStorage.h"
#include "src/Core/NestByValue.h"
// #include "src/Core/ForceAlignedAccess.h"
#include "src/Core/ReturnByValue.h"
#include "src/Core/NoAlias.h"
#include "src/Core/PlainObjectBase.h"
#include "src/Core/Matrix.h"
#include "src/Core/Array.h"
#include "src/Core/CwiseTernaryOp.h"
#include "src/Core/CwiseBinaryOp.h"
#include "src/Core/CwiseUnaryOp.h"
#include "src/Core/CwiseNullaryOp.h"
#include "src/Core/CwiseUnaryView.h"
#include "src/Core/SelfCwiseBinaryOp.h"
#include "src/Core/Dot.h"
#include "src/Core/StableNorm.h"
#include "src/Core/Stride.h"
#include "src/Core/MapBase.h"
#include "src/Core/Map.h"
#include "src/Core/Ref.h"
#include "src/Core/Block.h"
#include "src/Core/VectorBlock.h"
#include "src/Core/IndexedView.h"
#include "src/Core/Reshaped.h"
#include "src/Core/Transpose.h"
#include "src/Core/DiagonalMatrix.h"
#include "src/Core/Diagonal.h"
#include "src/Core/DiagonalProduct.h"
#include "src/Core/Redux.h"
#include "src/Core/Visitor.h"
#include "src/Core/Fuzzy.h"
#include "src/Core/Swap.h"
#include "src/Core/CommaInitializer.h"
#include "src/Core/GeneralProduct.h"
#include "src/Core/Solve.h"
#include "src/Core/Inverse.h"
#include "src/Core/SolverBase.h"
#include "src/Core/PermutationMatrix.h"
#include "src/Core/Transpositions.h"
#include "src/Core/TriangularMatrix.h"
#include "src/Core/SelfAdjointView.h"
#include "src/Core/products/GeneralBlockPanelKernel.h"
#include "src/Core/products/Parallelizer.h"
#include "src/Core/ProductEvaluators.h"
#include "src/Core/products/GeneralMatrixVector.h"
#include "src/Core/products/GeneralMatrixMatrix.h"
#include "src/Core/SolveTriangular.h"
#include "src/Core/products/GeneralMatrixMatrixTriangular.h"
#include "src/Core/products/SelfadjointMatrixVector.h"
#include "src/Core/products/SelfadjointMatrixMatrix.h"
#include "src/Core/products/SelfadjointProduct.h"
#include "src/Core/products/SelfadjointRank2Update.h"
#include "src/Core/products/TriangularMatrixVector.h"
#include "src/Core/products/TriangularMatrixMatrix.h"
#include "src/Core/products/TriangularSolverMatrix.h"
#include "src/Core/products/TriangularSolverVector.h"
#include "src/Core/BandMatrix.h"
#include "src/Core/CoreIterators.h"
#include "src/Core/ConditionEstimator.h"
#if defined(EIGEN_VECTORIZE_ALTIVEC) || defined(EIGEN_VECTORIZE_VSX)
#include "src/Core/arch/AltiVec/MatrixProduct.h"
#elif defined EIGEN_VECTORIZE_NEON
#include "src/Core/arch/NEON/GeneralBlockPanelKernel.h"
#endif
#include "src/Core/BooleanRedux.h"
#include "src/Core/Select.h"
#include "src/Core/VectorwiseOp.h"
#include "src/Core/PartialReduxEvaluator.h"
#include "src/Core/Random.h"
#include "src/Core/Replicate.h"
#include "src/Core/Reverse.h"
#include "src/Core/ArrayWrapper.h"
#include "src/Core/StlIterators.h"
#ifdef EIGEN_USE_BLAS
#include "src/Core/products/GeneralMatrixMatrix_BLAS.h"
#include "src/Core/products/GeneralMatrixVector_BLAS.h"
#include "src/Core/products/GeneralMatrixMatrixTriangular_BLAS.h"
#include "src/Core/products/SelfadjointMatrixMatrix_BLAS.h"
#include "src/Core/products/SelfadjointMatrixVector_BLAS.h"
#include "src/Core/products/TriangularMatrixMatrix_BLAS.h"
#include "src/Core/products/TriangularMatrixVector_BLAS.h"
#include "src/Core/products/TriangularSolverMatrix_BLAS.h"
#endif // EIGEN_USE_BLAS
#ifdef EIGEN_USE_MKL_VML
#include "src/Core/Assign_MKL.h"
#endif
#include "src/Core/GlobalFunctions.h"
#include "src/Core/util/ReenableStupidWarnings.h"
#endif // EIGEN_CORE_H

7
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#include "Core"
#include "LU"
#include "Cholesky"
#include "QR"
#include "SVD"
#include "Geometry"
#include "Eigenvalues"

2
libs/eigen/Eigen/Eigen Normal file
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#include "Dense"
#include "Sparse"

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// This file is part of Eigen, a lightweight C++ template library
// for linear algebra.
//
// This Source Code Form is subject to the terms of the Mozilla
// Public License v. 2.0. If a copy of the MPL was not distributed
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
#ifndef EIGEN_EIGENVALUES_MODULE_H
#define EIGEN_EIGENVALUES_MODULE_H
#include "Core"
#include "Cholesky"
#include "Jacobi"
#include "Householder"
#include "LU"
#include "Geometry"
#include "src/Core/util/DisableStupidWarnings.h"
/** \defgroup Eigenvalues_Module Eigenvalues module
*
*
*
* This module mainly provides various eigenvalue solvers.
* This module also provides some MatrixBase methods, including:
* - MatrixBase::eigenvalues(),
* - MatrixBase::operatorNorm()
*
* \code
* #include <Eigen/Eigenvalues>
* \endcode
*/
#include "src/misc/RealSvd2x2.h"
#include "src/Eigenvalues/Tridiagonalization.h"
#include "src/Eigenvalues/RealSchur.h"
#include "src/Eigenvalues/EigenSolver.h"
#include "src/Eigenvalues/SelfAdjointEigenSolver.h"
#include "src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h"
#include "src/Eigenvalues/HessenbergDecomposition.h"
#include "src/Eigenvalues/ComplexSchur.h"
#include "src/Eigenvalues/ComplexEigenSolver.h"
#include "src/Eigenvalues/RealQZ.h"
#include "src/Eigenvalues/GeneralizedEigenSolver.h"
#include "src/Eigenvalues/MatrixBaseEigenvalues.h"
#ifdef EIGEN_USE_LAPACKE
#ifdef EIGEN_USE_MKL
#include "mkl_lapacke.h"
#else
#include "src/misc/lapacke.h"
#endif
#include "src/Eigenvalues/RealSchur_LAPACKE.h"
#include "src/Eigenvalues/ComplexSchur_LAPACKE.h"
#include "src/Eigenvalues/SelfAdjointEigenSolver_LAPACKE.h"
#endif
#include "src/Core/util/ReenableStupidWarnings.h"
#endif // EIGEN_EIGENVALUES_MODULE_H

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// This file is part of Eigen, a lightweight C++ template library
// for linear algebra.
//
// This Source Code Form is subject to the terms of the Mozilla
// Public License v. 2.0. If a copy of the MPL was not distributed
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
#ifndef EIGEN_GEOMETRY_MODULE_H
#define EIGEN_GEOMETRY_MODULE_H
#include "Core"
#include "SVD"
#include "LU"
#include <limits>
#include "src/Core/util/DisableStupidWarnings.h"
/** \defgroup Geometry_Module Geometry module
*
* This module provides support for:
* - fixed-size homogeneous transformations
* - translation, scaling, 2D and 3D rotations
* - \link Quaternion quaternions \endlink
* - cross products (\ref MatrixBase::cross, \ref MatrixBase::cross3)
* - orthognal vector generation (\ref MatrixBase::unitOrthogonal)
* - some linear components: \link ParametrizedLine parametrized-lines \endlink and \link Hyperplane hyperplanes \endlink
* - \link AlignedBox axis aligned bounding boxes \endlink
* - \link umeyama least-square transformation fitting \endlink
*
* \code
* #include <Eigen/Geometry>
* \endcode
*/
#include "src/Geometry/OrthoMethods.h"
#include "src/Geometry/EulerAngles.h"
#include "src/Geometry/Homogeneous.h"
#include "src/Geometry/RotationBase.h"
#include "src/Geometry/Rotation2D.h"
#include "src/Geometry/Quaternion.h"
#include "src/Geometry/AngleAxis.h"
#include "src/Geometry/Transform.h"
#include "src/Geometry/Translation.h"
#include "src/Geometry/Scaling.h"
#include "src/Geometry/Hyperplane.h"
#include "src/Geometry/ParametrizedLine.h"
#include "src/Geometry/AlignedBox.h"
#include "src/Geometry/Umeyama.h"
// Use the SSE optimized version whenever possible.
#if (defined EIGEN_VECTORIZE_SSE) || (defined EIGEN_VECTORIZE_NEON)
#include "src/Geometry/arch/Geometry_SIMD.h"
#endif
#include "src/Core/util/ReenableStupidWarnings.h"
#endif // EIGEN_GEOMETRY_MODULE_H

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// This file is part of Eigen, a lightweight C++ template library
// for linear algebra.
//
// This Source Code Form is subject to the terms of the Mozilla
// Public License v. 2.0. If a copy of the MPL was not distributed
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
#ifndef EIGEN_HOUSEHOLDER_MODULE_H
#define EIGEN_HOUSEHOLDER_MODULE_H
#include "Core"
#include "src/Core/util/DisableStupidWarnings.h"
/** \defgroup Householder_Module Householder module
* This module provides Householder transformations.
*
* \code
* #include <Eigen/Householder>
* \endcode
*/
#include "src/Householder/Householder.h"
#include "src/Householder/HouseholderSequence.h"
#include "src/Householder/BlockHouseholder.h"
#include "src/Core/util/ReenableStupidWarnings.h"
#endif // EIGEN_HOUSEHOLDER_MODULE_H

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// This file is part of Eigen, a lightweight C++ template library
// for linear algebra.
//
// This Source Code Form is subject to the terms of the Mozilla
// Public License v. 2.0. If a copy of the MPL was not distributed
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
#ifndef EIGEN_ITERATIVELINEARSOLVERS_MODULE_H
#define EIGEN_ITERATIVELINEARSOLVERS_MODULE_H
#include "SparseCore"
#include "OrderingMethods"
#include "src/Core/util/DisableStupidWarnings.h"
/**
* \defgroup IterativeLinearSolvers_Module IterativeLinearSolvers module
*
* This module currently provides iterative methods to solve problems of the form \c A \c x = \c b, where \c A is a squared matrix, usually very large and sparse.
* Those solvers are accessible via the following classes:
* - ConjugateGradient for selfadjoint (hermitian) matrices,
* - LeastSquaresConjugateGradient for rectangular least-square problems,
* - BiCGSTAB for general square matrices.
*
* These iterative solvers are associated with some preconditioners:
* - IdentityPreconditioner - not really useful
* - DiagonalPreconditioner - also called Jacobi preconditioner, work very well on diagonal dominant matrices.
* - IncompleteLUT - incomplete LU factorization with dual thresholding
*
* Such problems can also be solved using the direct sparse decomposition modules: SparseCholesky, CholmodSupport, UmfPackSupport, SuperLUSupport.
*
\code
#include <Eigen/IterativeLinearSolvers>
\endcode
*/
#include "src/IterativeLinearSolvers/SolveWithGuess.h"
#include "src/IterativeLinearSolvers/IterativeSolverBase.h"
#include "src/IterativeLinearSolvers/BasicPreconditioners.h"
#include "src/IterativeLinearSolvers/ConjugateGradient.h"
#include "src/IterativeLinearSolvers/LeastSquareConjugateGradient.h"
#include "src/IterativeLinearSolvers/BiCGSTAB.h"
#include "src/IterativeLinearSolvers/IncompleteLUT.h"
#include "src/IterativeLinearSolvers/IncompleteCholesky.h"
#include "src/Core/util/ReenableStupidWarnings.h"
#endif // EIGEN_ITERATIVELINEARSOLVERS_MODULE_H

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// This file is part of Eigen, a lightweight C++ template library
// for linear algebra.
//
// This Source Code Form is subject to the terms of the Mozilla
// Public License v. 2.0. If a copy of the MPL was not distributed
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
#ifndef EIGEN_JACOBI_MODULE_H
#define EIGEN_JACOBI_MODULE_H
#include "Core"
#include "src/Core/util/DisableStupidWarnings.h"
/** \defgroup Jacobi_Module Jacobi module
* This module provides Jacobi and Givens rotations.
*
* \code
* #include <Eigen/Jacobi>
* \endcode
*
* In addition to listed classes, it defines the two following MatrixBase methods to apply a Jacobi or Givens rotation:
* - MatrixBase::applyOnTheLeft()
* - MatrixBase::applyOnTheRight().
*/
#include "src/Jacobi/Jacobi.h"
#include "src/Core/util/ReenableStupidWarnings.h"
#endif // EIGEN_JACOBI_MODULE_H

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// This file is part of Eigen, a lightweight C++ template library
// for linear algebra.
//
// This Source Code Form is subject to the terms of the Mozilla
// Public License v. 2.0. If a copy of the MPL was not distributed
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
#ifndef EIGEN_KLUSUPPORT_MODULE_H
#define EIGEN_KLUSUPPORT_MODULE_H
#include <Eigen/SparseCore>
#include <Eigen/src/Core/util/DisableStupidWarnings.h>
extern "C" {
#include <btf.h>
#include <klu.h>
}
/** \ingroup Support_modules
* \defgroup KLUSupport_Module KLUSupport module
*
* This module provides an interface to the KLU library which is part of the <a href="http://www.suitesparse.com">suitesparse</a> package.
* It provides the following factorization class:
* - class KLU: a sparse LU factorization, well-suited for circuit simulation.
*
* \code
* #include <Eigen/KLUSupport>
* \endcode
*
* In order to use this module, the klu and btf headers must be accessible from the include paths, and your binary must be linked to the klu library and its dependencies.
* The dependencies depend on how umfpack has been compiled.
* For a cmake based project, you can use our FindKLU.cmake module to help you in this task.
*
*/
#include "src/KLUSupport/KLUSupport.h"
#include <Eigen/src/Core/util/ReenableStupidWarnings.h>
#endif // EIGEN_KLUSUPPORT_MODULE_H

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// This file is part of Eigen, a lightweight C++ template library
// for linear algebra.
//
// This Source Code Form is subject to the terms of the Mozilla
// Public License v. 2.0. If a copy of the MPL was not distributed
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
#ifndef EIGEN_LU_MODULE_H
#define EIGEN_LU_MODULE_H
#include "Core"
#include "src/Core/util/DisableStupidWarnings.h"
/** \defgroup LU_Module LU module
* This module includes %LU decomposition and related notions such as matrix inversion and determinant.
* This module defines the following MatrixBase methods:
* - MatrixBase::inverse()
* - MatrixBase::determinant()
*
* \code
* #include <Eigen/LU>
* \endcode
*/
#include "src/misc/Kernel.h"
#include "src/misc/Image.h"
#include "src/LU/FullPivLU.h"
#include "src/LU/PartialPivLU.h"
#ifdef EIGEN_USE_LAPACKE
#ifdef EIGEN_USE_MKL
#include "mkl_lapacke.h"
#else
#include "src/misc/lapacke.h"
#endif
#include "src/LU/PartialPivLU_LAPACKE.h"
#endif
#include "src/LU/Determinant.h"
#include "src/LU/InverseImpl.h"
#if defined EIGEN_VECTORIZE_SSE || defined EIGEN_VECTORIZE_NEON
#include "src/LU/arch/InverseSize4.h"
#endif
#include "src/Core/util/ReenableStupidWarnings.h"
#endif // EIGEN_LU_MODULE_H

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// This file is part of Eigen, a lightweight C++ template library
// for linear algebra.
//
// This Source Code Form is subject to the terms of the Mozilla
// Public License v. 2.0. If a copy of the MPL was not distributed
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
#ifndef EIGEN_METISSUPPORT_MODULE_H
#define EIGEN_METISSUPPORT_MODULE_H
#include "SparseCore"
#include "src/Core/util/DisableStupidWarnings.h"
extern "C" {
#include <metis.h>
}
/** \ingroup Support_modules
* \defgroup MetisSupport_Module MetisSupport module
*
* \code
* #include <Eigen/MetisSupport>
* \endcode
* This module defines an interface to the METIS reordering package (http://glaros.dtc.umn.edu/gkhome/views/metis).
* It can be used just as any other built-in method as explained in \link OrderingMethods_Module here. \endlink
*/
#include "src/MetisSupport/MetisSupport.h"
#include "src/Core/util/ReenableStupidWarnings.h"
#endif // EIGEN_METISSUPPORT_MODULE_H

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// This file is part of Eigen, a lightweight C++ template library
// for linear algebra.
//
// This Source Code Form is subject to the terms of the Mozilla
// Public License v. 2.0. If a copy of the MPL was not distributed
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
#ifndef EIGEN_ORDERINGMETHODS_MODULE_H
#define EIGEN_ORDERINGMETHODS_MODULE_H
#include "SparseCore"
#include "src/Core/util/DisableStupidWarnings.h"
/**
* \defgroup OrderingMethods_Module OrderingMethods module
*
* This module is currently for internal use only
*
* It defines various built-in and external ordering methods for sparse matrices.
* They are typically used to reduce the number of elements during
* the sparse matrix decomposition (LLT, LU, QR).
* Precisely, in a preprocessing step, a permutation matrix P is computed using
* those ordering methods and applied to the columns of the matrix.
* Using for instance the sparse Cholesky decomposition, it is expected that
* the nonzeros elements in LLT(A*P) will be much smaller than that in LLT(A).
*
*
* Usage :
* \code
* #include <Eigen/OrderingMethods>
* \endcode
*
* A simple usage is as a template parameter in the sparse decomposition classes :
*
* \code
* SparseLU<MatrixType, COLAMDOrdering<int> > solver;
* \endcode
*
* \code
* SparseQR<MatrixType, COLAMDOrdering<int> > solver;
* \endcode
*
* It is possible as well to call directly a particular ordering method for your own purpose,
* \code
* AMDOrdering<int> ordering;
* PermutationMatrix<Dynamic, Dynamic, int> perm;
* SparseMatrix<double> A;
* //Fill the matrix ...
*
* ordering(A, perm); // Call AMD
* \endcode
*
* \note Some of these methods (like AMD or METIS), need the sparsity pattern
* of the input matrix to be symmetric. When the matrix is structurally unsymmetric,
* Eigen computes internally the pattern of \f$A^T*A\f$ before calling the method.
* If your matrix is already symmetric (at leat in structure), you can avoid that
* by calling the method with a SelfAdjointView type.
*
* \code
* // Call the ordering on the pattern of the lower triangular matrix A
* ordering(A.selfadjointView<Lower>(), perm);
* \endcode
*/
#include "src/OrderingMethods/Amd.h"
#include "src/OrderingMethods/Ordering.h"
#include "src/Core/util/ReenableStupidWarnings.h"
#endif // EIGEN_ORDERINGMETHODS_MODULE_H

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// This file is part of Eigen, a lightweight C++ template library
// for linear algebra.
//
// This Source Code Form is subject to the terms of the Mozilla
// Public License v. 2.0. If a copy of the MPL was not distributed
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
#ifndef EIGEN_PASTIXSUPPORT_MODULE_H
#define EIGEN_PASTIXSUPPORT_MODULE_H
#include "SparseCore"
#include "src/Core/util/DisableStupidWarnings.h"
extern "C" {
#include <pastix_nompi.h>
#include <pastix.h>
}
#ifdef complex
#undef complex
#endif
/** \ingroup Support_modules
* \defgroup PaStiXSupport_Module PaStiXSupport module
*
* This module provides an interface to the <a href="http://pastix.gforge.inria.fr/">PaSTiX</a> library.
* PaSTiX is a general \b supernodal, \b parallel and \b opensource sparse solver.
* It provides the two following main factorization classes:
* - class PastixLLT : a supernodal, parallel LLt Cholesky factorization.
* - class PastixLDLT: a supernodal, parallel LDLt Cholesky factorization.
* - class PastixLU : a supernodal, parallel LU factorization (optimized for a symmetric pattern).
*
* \code
* #include <Eigen/PaStiXSupport>
* \endcode
*
* In order to use this module, the PaSTiX headers must be accessible from the include paths, and your binary must be linked to the PaSTiX library and its dependencies.
* This wrapper resuires PaStiX version 5.x compiled without MPI support.
* The dependencies depend on how PaSTiX has been compiled.
* For a cmake based project, you can use our FindPaSTiX.cmake module to help you in this task.
*
*/
#include "src/PaStiXSupport/PaStiXSupport.h"
#include "src/Core/util/ReenableStupidWarnings.h"
#endif // EIGEN_PASTIXSUPPORT_MODULE_H

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// This file is part of Eigen, a lightweight C++ template library
// for linear algebra.
//
// This Source Code Form is subject to the terms of the Mozilla
// Public License v. 2.0. If a copy of the MPL was not distributed
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
#ifndef EIGEN_PARDISOSUPPORT_MODULE_H
#define EIGEN_PARDISOSUPPORT_MODULE_H
#include "SparseCore"
#include "src/Core/util/DisableStupidWarnings.h"
#include <mkl_pardiso.h>
/** \ingroup Support_modules
* \defgroup PardisoSupport_Module PardisoSupport module
*
* This module brings support for the Intel(R) MKL PARDISO direct sparse solvers.
*
* \code
* #include <Eigen/PardisoSupport>
* \endcode
*
* In order to use this module, the MKL headers must be accessible from the include paths, and your binary must be linked to the MKL library and its dependencies.
* See this \ref TopicUsingIntelMKL "page" for more information on MKL-Eigen integration.
*
*/
#include "src/PardisoSupport/PardisoSupport.h"
#include "src/Core/util/ReenableStupidWarnings.h"
#endif // EIGEN_PARDISOSUPPORT_MODULE_H

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// This file is part of Eigen, a lightweight C++ template library
// for linear algebra.
//
// This Source Code Form is subject to the terms of the Mozilla
// Public License v. 2.0. If a copy of the MPL was not distributed
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
#ifndef EIGEN_QR_MODULE_H
#define EIGEN_QR_MODULE_H
#include "Core"
#include "Cholesky"
#include "Jacobi"
#include "Householder"
#include "src/Core/util/DisableStupidWarnings.h"
/** \defgroup QR_Module QR module
*
*
*
* This module provides various QR decompositions
* This module also provides some MatrixBase methods, including:
* - MatrixBase::householderQr()
* - MatrixBase::colPivHouseholderQr()
* - MatrixBase::fullPivHouseholderQr()
*
* \code
* #include <Eigen/QR>
* \endcode
*/
#include "src/QR/HouseholderQR.h"
#include "src/QR/FullPivHouseholderQR.h"
#include "src/QR/ColPivHouseholderQR.h"
#include "src/QR/CompleteOrthogonalDecomposition.h"
#ifdef EIGEN_USE_LAPACKE
#ifdef EIGEN_USE_MKL
#include "mkl_lapacke.h"
#else
#include "src/misc/lapacke.h"
#endif
#include "src/QR/HouseholderQR_LAPACKE.h"
#include "src/QR/ColPivHouseholderQR_LAPACKE.h"
#endif
#include "src/Core/util/ReenableStupidWarnings.h"
#endif // EIGEN_QR_MODULE_H

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// This file is part of Eigen, a lightweight C++ template library
// for linear algebra.
//
// This Source Code Form is subject to the terms of the Mozilla
// Public License v. 2.0. If a copy of the MPL was not distributed
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
#ifndef EIGEN_QTMALLOC_MODULE_H
#define EIGEN_QTMALLOC_MODULE_H
#include "Core"
#if (!EIGEN_MALLOC_ALREADY_ALIGNED)
#include "src/Core/util/DisableStupidWarnings.h"
void *qMalloc(std::size_t size)
{
return Eigen::internal::aligned_malloc(size);
}
void qFree(void *ptr)
{
Eigen::internal::aligned_free(ptr);
}
void *qRealloc(void *ptr, std::size_t size)
{
void* newPtr = Eigen::internal::aligned_malloc(size);
std::memcpy(newPtr, ptr, size);
Eigen::internal::aligned_free(ptr);
return newPtr;
}
#include "src/Core/util/ReenableStupidWarnings.h"
#endif
#endif // EIGEN_QTMALLOC_MODULE_H

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// This file is part of Eigen, a lightweight C++ template library
// for linear algebra.
//
// This Source Code Form is subject to the terms of the Mozilla
// Public License v. 2.0. If a copy of the MPL was not distributed
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
#ifndef EIGEN_SPQRSUPPORT_MODULE_H
#define EIGEN_SPQRSUPPORT_MODULE_H
#include "SparseCore"
#include "src/Core/util/DisableStupidWarnings.h"
#include "SuiteSparseQR.hpp"
/** \ingroup Support_modules
* \defgroup SPQRSupport_Module SuiteSparseQR module
*
* This module provides an interface to the SPQR library, which is part of the <a href="http://www.suitesparse.com">suitesparse</a> package.
*
* \code
* #include <Eigen/SPQRSupport>
* \endcode
*
* In order to use this module, the SPQR headers must be accessible from the include paths, and your binary must be linked to the SPQR library and its dependencies (Cholmod, AMD, COLAMD,...).
* For a cmake based project, you can use our FindSPQR.cmake and FindCholmod.Cmake modules
*
*/
#include "src/CholmodSupport/CholmodSupport.h"
#include "src/SPQRSupport/SuiteSparseQRSupport.h"
#endif

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// This file is part of Eigen, a lightweight C++ template library
// for linear algebra.
//
// This Source Code Form is subject to the terms of the Mozilla
// Public License v. 2.0. If a copy of the MPL was not distributed
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
#ifndef EIGEN_SVD_MODULE_H
#define EIGEN_SVD_MODULE_H
#include "QR"
#include "Householder"
#include "Jacobi"
#include "src/Core/util/DisableStupidWarnings.h"
/** \defgroup SVD_Module SVD module
*
*
*
* This module provides SVD decomposition for matrices (both real and complex).
* Two decomposition algorithms are provided:
* - JacobiSVD implementing two-sided Jacobi iterations is numerically very accurate, fast for small matrices, but very slow for larger ones.
* - BDCSVD implementing a recursive divide & conquer strategy on top of an upper-bidiagonalization which remains fast for large problems.
* These decompositions are accessible via the respective classes and following MatrixBase methods:
* - MatrixBase::jacobiSvd()
* - MatrixBase::bdcSvd()
*
* \code
* #include <Eigen/SVD>
* \endcode
*/
#include "src/misc/RealSvd2x2.h"
#include "src/SVD/UpperBidiagonalization.h"
#include "src/SVD/SVDBase.h"
#include "src/SVD/JacobiSVD.h"
#include "src/SVD/BDCSVD.h"
#if defined(EIGEN_USE_LAPACKE) && !defined(EIGEN_USE_LAPACKE_STRICT)
#ifdef EIGEN_USE_MKL
#include "mkl_lapacke.h"
#else
#include "src/misc/lapacke.h"
#endif
#include "src/SVD/JacobiSVD_LAPACKE.h"
#endif
#include "src/Core/util/ReenableStupidWarnings.h"
#endif // EIGEN_SVD_MODULE_H

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// This file is part of Eigen, a lightweight C++ template library
// for linear algebra.
//
// This Source Code Form is subject to the terms of the Mozilla
// Public License v. 2.0. If a copy of the MPL was not distributed
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
#ifndef EIGEN_SPARSE_MODULE_H
#define EIGEN_SPARSE_MODULE_H
/** \defgroup Sparse_Module Sparse meta-module
*
* Meta-module including all related modules:
* - \ref SparseCore_Module
* - \ref OrderingMethods_Module
* - \ref SparseCholesky_Module
* - \ref SparseLU_Module
* - \ref SparseQR_Module
* - \ref IterativeLinearSolvers_Module
*
\code
#include <Eigen/Sparse>
\endcode
*/
#include "SparseCore"
#include "OrderingMethods"
#include "SparseCholesky"
#include "SparseLU"
#include "SparseQR"
#include "IterativeLinearSolvers"
#endif // EIGEN_SPARSE_MODULE_H

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// This file is part of Eigen, a lightweight C++ template library
// for linear algebra.
//
// Copyright (C) 2008-2013 Gael Guennebaud <gael.guennebaud@inria.fr>
//
// This Source Code Form is subject to the terms of the Mozilla
// Public License v. 2.0. If a copy of the MPL was not distributed
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
#ifndef EIGEN_SPARSECHOLESKY_MODULE_H
#define EIGEN_SPARSECHOLESKY_MODULE_H
#include "SparseCore"
#include "OrderingMethods"
#include "src/Core/util/DisableStupidWarnings.h"
/**
* \defgroup SparseCholesky_Module SparseCholesky module
*
* This module currently provides two variants of the direct sparse Cholesky decomposition for selfadjoint (hermitian) matrices.
* Those decompositions are accessible via the following classes:
* - SimplicialLLt,
* - SimplicialLDLt
*
* Such problems can also be solved using the ConjugateGradient solver from the IterativeLinearSolvers module.
*
* \code
* #include <Eigen/SparseCholesky>
* \endcode
*/
#include "src/SparseCholesky/SimplicialCholesky.h"
#include "src/SparseCholesky/SimplicialCholesky_impl.h"
#include "src/Core/util/ReenableStupidWarnings.h"
#endif // EIGEN_SPARSECHOLESKY_MODULE_H

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// This file is part of Eigen, a lightweight C++ template library
// for linear algebra.
//
// This Source Code Form is subject to the terms of the Mozilla
// Public License v. 2.0. If a copy of the MPL was not distributed
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
#ifndef EIGEN_SPARSECORE_MODULE_H
#define EIGEN_SPARSECORE_MODULE_H
#include "Core"
#include "src/Core/util/DisableStupidWarnings.h"
#include <vector>
#include <map>
#include <cstdlib>
#include <cstring>
#include <algorithm>
/**
* \defgroup SparseCore_Module SparseCore module
*
* This module provides a sparse matrix representation, and basic associated matrix manipulations
* and operations.
*
* See the \ref TutorialSparse "Sparse tutorial"
*
* \code
* #include <Eigen/SparseCore>
* \endcode
*
* This module depends on: Core.
*/
#include "src/SparseCore/SparseUtil.h"
#include "src/SparseCore/SparseMatrixBase.h"
#include "src/SparseCore/SparseAssign.h"
#include "src/SparseCore/CompressedStorage.h"
#include "src/SparseCore/AmbiVector.h"
#include "src/SparseCore/SparseCompressedBase.h"
#include "src/SparseCore/SparseMatrix.h"
#include "src/SparseCore/SparseMap.h"
#include "src/SparseCore/MappedSparseMatrix.h"
#include "src/SparseCore/SparseVector.h"
#include "src/SparseCore/SparseRef.h"
#include "src/SparseCore/SparseCwiseUnaryOp.h"
#include "src/SparseCore/SparseCwiseBinaryOp.h"
#include "src/SparseCore/SparseTranspose.h"
#include "src/SparseCore/SparseBlock.h"
#include "src/SparseCore/SparseDot.h"
#include "src/SparseCore/SparseRedux.h"
#include "src/SparseCore/SparseView.h"
#include "src/SparseCore/SparseDiagonalProduct.h"
#include "src/SparseCore/ConservativeSparseSparseProduct.h"
#include "src/SparseCore/SparseSparseProductWithPruning.h"
#include "src/SparseCore/SparseProduct.h"
#include "src/SparseCore/SparseDenseProduct.h"
#include "src/SparseCore/SparseSelfAdjointView.h"
#include "src/SparseCore/SparseTriangularView.h"
#include "src/SparseCore/TriangularSolver.h"
#include "src/SparseCore/SparsePermutation.h"
#include "src/SparseCore/SparseFuzzy.h"
#include "src/SparseCore/SparseSolverBase.h"
#include "src/Core/util/ReenableStupidWarnings.h"
#endif // EIGEN_SPARSECORE_MODULE_H

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// This file is part of Eigen, a lightweight C++ template library
// for linear algebra.
//
// Copyright (C) 2012 Désiré Nuentsa-Wakam <desire.nuentsa_wakam@inria.fr>
// Copyright (C) 2012 Gael Guennebaud <gael.guennebaud@inria.fr>
//
// This Source Code Form is subject to the terms of the Mozilla
// Public License v. 2.0. If a copy of the MPL was not distributed
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
#ifndef EIGEN_SPARSELU_MODULE_H
#define EIGEN_SPARSELU_MODULE_H
#include "SparseCore"
/**
* \defgroup SparseLU_Module SparseLU module
* This module defines a supernodal factorization of general sparse matrices.
* The code is fully optimized for supernode-panel updates with specialized kernels.
* Please, see the documentation of the SparseLU class for more details.
*/
// Ordering interface
#include "OrderingMethods"
#include "src/Core/util/DisableStupidWarnings.h"
#include "src/SparseLU/SparseLU_gemm_kernel.h"
#include "src/SparseLU/SparseLU_Structs.h"
#include "src/SparseLU/SparseLU_SupernodalMatrix.h"
#include "src/SparseLU/SparseLUImpl.h"
#include "src/SparseCore/SparseColEtree.h"
#include "src/SparseLU/SparseLU_Memory.h"
#include "src/SparseLU/SparseLU_heap_relax_snode.h"
#include "src/SparseLU/SparseLU_relax_snode.h"
#include "src/SparseLU/SparseLU_pivotL.h"
#include "src/SparseLU/SparseLU_panel_dfs.h"
#include "src/SparseLU/SparseLU_kernel_bmod.h"
#include "src/SparseLU/SparseLU_panel_bmod.h"
#include "src/SparseLU/SparseLU_column_dfs.h"
#include "src/SparseLU/SparseLU_column_bmod.h"
#include "src/SparseLU/SparseLU_copy_to_ucol.h"
#include "src/SparseLU/SparseLU_pruneL.h"
#include "src/SparseLU/SparseLU_Utils.h"
#include "src/SparseLU/SparseLU.h"
#include "src/Core/util/ReenableStupidWarnings.h"
#endif // EIGEN_SPARSELU_MODULE_H

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// This file is part of Eigen, a lightweight C++ template library
// for linear algebra.
//
// This Source Code Form is subject to the terms of the Mozilla
// Public License v. 2.0. If a copy of the MPL was not distributed
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
#ifndef EIGEN_SPARSEQR_MODULE_H
#define EIGEN_SPARSEQR_MODULE_H
#include "SparseCore"
#include "OrderingMethods"
#include "src/Core/util/DisableStupidWarnings.h"
/** \defgroup SparseQR_Module SparseQR module
* \brief Provides QR decomposition for sparse matrices
*
* This module provides a simplicial version of the left-looking Sparse QR decomposition.
* The columns of the input matrix should be reordered to limit the fill-in during the
* decomposition. Built-in methods (COLAMD, AMD) or external methods (METIS) can be used to this end.
* See the \link OrderingMethods_Module OrderingMethods\endlink module for the list
* of built-in and external ordering methods.
*
* \code
* #include <Eigen/SparseQR>
* \endcode
*
*
*/
#include "src/SparseCore/SparseColEtree.h"
#include "src/SparseQR/SparseQR.h"
#include "src/Core/util/ReenableStupidWarnings.h"
#endif

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// This file is part of Eigen, a lightweight C++ template library
// for linear algebra.
//
// Copyright (C) 2009 Gael Guennebaud <gael.guennebaud@inria.fr>
// Copyright (C) 2009 Hauke Heibel <hauke.heibel@googlemail.com>
//
// This Source Code Form is subject to the terms of the Mozilla
// Public License v. 2.0. If a copy of the MPL was not distributed
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
#ifndef EIGEN_STDDEQUE_MODULE_H
#define EIGEN_STDDEQUE_MODULE_H
#include "Core"
#include <deque>
#if EIGEN_COMP_MSVC && EIGEN_OS_WIN64 && (EIGEN_MAX_STATIC_ALIGN_BYTES<=16) /* MSVC auto aligns up to 16 bytes in 64 bit builds */
#define EIGEN_DEFINE_STL_DEQUE_SPECIALIZATION(...)
#else
#include "src/StlSupport/StdDeque.h"
#endif
#endif // EIGEN_STDDEQUE_MODULE_H

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// This file is part of Eigen, a lightweight C++ template library
// for linear algebra.
//
// Copyright (C) 2009 Hauke Heibel <hauke.heibel@googlemail.com>
//
// This Source Code Form is subject to the terms of the Mozilla
// Public License v. 2.0. If a copy of the MPL was not distributed
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
#ifndef EIGEN_STDLIST_MODULE_H
#define EIGEN_STDLIST_MODULE_H
#include "Core"
#include <list>
#if EIGEN_COMP_MSVC && EIGEN_OS_WIN64 && (EIGEN_MAX_STATIC_ALIGN_BYTES<=16) /* MSVC auto aligns up to 16 bytes in 64 bit builds */
#define EIGEN_DEFINE_STL_LIST_SPECIALIZATION(...)
#else
#include "src/StlSupport/StdList.h"
#endif
#endif // EIGEN_STDLIST_MODULE_H

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// This file is part of Eigen, a lightweight C++ template library
// for linear algebra.
//
// Copyright (C) 2009 Gael Guennebaud <gael.guennebaud@inria.fr>
// Copyright (C) 2009 Hauke Heibel <hauke.heibel@googlemail.com>
//
// This Source Code Form is subject to the terms of the Mozilla
// Public License v. 2.0. If a copy of the MPL was not distributed
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
#ifndef EIGEN_STDVECTOR_MODULE_H
#define EIGEN_STDVECTOR_MODULE_H
#include "Core"
#include <vector>
#if EIGEN_COMP_MSVC && EIGEN_OS_WIN64 && (EIGEN_MAX_STATIC_ALIGN_BYTES<=16) /* MSVC auto aligns up to 16 bytes in 64 bit builds */
#define EIGEN_DEFINE_STL_VECTOR_SPECIALIZATION(...)
#else
#include "src/StlSupport/StdVector.h"
#endif
#endif // EIGEN_STDVECTOR_MODULE_H

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// This file is part of Eigen, a lightweight C++ template library
// for linear algebra.
//
// This Source Code Form is subject to the terms of the Mozilla
// Public License v. 2.0. If a copy of the MPL was not distributed
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
#ifndef EIGEN_SUPERLUSUPPORT_MODULE_H
#define EIGEN_SUPERLUSUPPORT_MODULE_H
#include "SparseCore"
#include "src/Core/util/DisableStupidWarnings.h"
#ifdef EMPTY
#define EIGEN_EMPTY_WAS_ALREADY_DEFINED
#endif
typedef int int_t;
#include <slu_Cnames.h>
#include <supermatrix.h>
#include <slu_util.h>
// slu_util.h defines a preprocessor token named EMPTY which is really polluting,
// so we remove it in favor of a SUPERLU_EMPTY token.
// If EMPTY was already defined then we don't undef it.
#if defined(EIGEN_EMPTY_WAS_ALREADY_DEFINED)
# undef EIGEN_EMPTY_WAS_ALREADY_DEFINED
#elif defined(EMPTY)
# undef EMPTY
#endif
#define SUPERLU_EMPTY (-1)
namespace Eigen { struct SluMatrix; }
/** \ingroup Support_modules
* \defgroup SuperLUSupport_Module SuperLUSupport module
*
* This module provides an interface to the <a href="http://crd-legacy.lbl.gov/~xiaoye/SuperLU/">SuperLU</a> library.
* It provides the following factorization class:
* - class SuperLU: a supernodal sequential LU factorization.
* - class SuperILU: a supernodal sequential incomplete LU factorization (to be used as a preconditioner for iterative methods).
*
* \warning This wrapper requires at least versions 4.0 of SuperLU. The 3.x versions are not supported.
*
* \warning When including this module, you have to use SUPERLU_EMPTY instead of EMPTY which is no longer defined because it is too polluting.
*
* \code
* #include <Eigen/SuperLUSupport>
* \endcode
*
* In order to use this module, the superlu headers must be accessible from the include paths, and your binary must be linked to the superlu library and its dependencies.
* The dependencies depend on how superlu has been compiled.
* For a cmake based project, you can use our FindSuperLU.cmake module to help you in this task.
*
*/
#include "src/SuperLUSupport/SuperLUSupport.h"
#include "src/Core/util/ReenableStupidWarnings.h"
#endif // EIGEN_SUPERLUSUPPORT_MODULE_H

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// This file is part of Eigen, a lightweight C++ template library
// for linear algebra.
//
// This Source Code Form is subject to the terms of the Mozilla
// Public License v. 2.0. If a copy of the MPL was not distributed
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
#ifndef EIGEN_UMFPACKSUPPORT_MODULE_H
#define EIGEN_UMFPACKSUPPORT_MODULE_H
#include "SparseCore"
#include "src/Core/util/DisableStupidWarnings.h"
extern "C" {
#include <umfpack.h>
}
/** \ingroup Support_modules
* \defgroup UmfPackSupport_Module UmfPackSupport module
*
* This module provides an interface to the UmfPack library which is part of the <a href="http://www.suitesparse.com">suitesparse</a> package.
* It provides the following factorization class:
* - class UmfPackLU: a multifrontal sequential LU factorization.
*
* \code
* #include <Eigen/UmfPackSupport>
* \endcode
*
* In order to use this module, the umfpack headers must be accessible from the include paths, and your binary must be linked to the umfpack library and its dependencies.
* The dependencies depend on how umfpack has been compiled.
* For a cmake based project, you can use our FindUmfPack.cmake module to help you in this task.
*
*/
#include "src/UmfPackSupport/UmfPackSupport.h"
#include "src/Core/util/ReenableStupidWarnings.h"
#endif // EIGEN_UMFPACKSUPPORT_MODULE_H

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// This file is part of Eigen, a lightweight C++ template library
// for linear algebra.
//
// Copyright (C) 2008-2011 Gael Guennebaud <gael.guennebaud@inria.fr>
// Copyright (C) 2009 Keir Mierle <mierle@gmail.com>
// Copyright (C) 2009 Benoit Jacob <jacob.benoit.1@gmail.com>
// Copyright (C) 2011 Timothy E. Holy <tim.holy@gmail.com >
//
// This Source Code Form is subject to the terms of the Mozilla
// Public License v. 2.0. If a copy of the MPL was not distributed
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
#ifndef EIGEN_LDLT_H
#define EIGEN_LDLT_H
namespace Eigen {
namespace internal {
template<typename _MatrixType, int _UpLo> struct traits<LDLT<_MatrixType, _UpLo> >
: traits<_MatrixType>
{
typedef MatrixXpr XprKind;
typedef SolverStorage StorageKind;
typedef int StorageIndex;
enum { Flags = 0 };
};
template<typename MatrixType, int UpLo> struct LDLT_Traits;
// PositiveSemiDef means positive semi-definite and non-zero; same for NegativeSemiDef
enum SignMatrix { PositiveSemiDef, NegativeSemiDef, ZeroSign, Indefinite };
}
/** \ingroup Cholesky_Module
*
* \class LDLT
*
* \brief Robust Cholesky decomposition of a matrix with pivoting
*
* \tparam _MatrixType the type of the matrix of which to compute the LDL^T Cholesky decomposition
* \tparam _UpLo the triangular part that will be used for the decompositon: Lower (default) or Upper.
* The other triangular part won't be read.
*
* Perform a robust Cholesky decomposition of a positive semidefinite or negative semidefinite
* matrix \f$ A \f$ such that \f$ A = P^TLDL^*P \f$, where P is a permutation matrix, L
* is lower triangular with a unit diagonal and D is a diagonal matrix.
*
* The decomposition uses pivoting to ensure stability, so that D will have
* zeros in the bottom right rank(A) - n submatrix. Avoiding the square root
* on D also stabilizes the computation.
*
* Remember that Cholesky decompositions are not rank-revealing. Also, do not use a Cholesky
* decomposition to determine whether a system of equations has a solution.
*
* This class supports the \link InplaceDecomposition inplace decomposition \endlink mechanism.
*
* \sa MatrixBase::ldlt(), SelfAdjointView::ldlt(), class LLT
*/
template<typename _MatrixType, int _UpLo> class LDLT
: public SolverBase<LDLT<_MatrixType, _UpLo> >
{
public:
typedef _MatrixType MatrixType;
typedef SolverBase<LDLT> Base;
friend class SolverBase<LDLT>;
EIGEN_GENERIC_PUBLIC_INTERFACE(LDLT)
enum {
MaxRowsAtCompileTime = MatrixType::MaxRowsAtCompileTime,
MaxColsAtCompileTime = MatrixType::MaxColsAtCompileTime,
UpLo = _UpLo
};
typedef Matrix<Scalar, RowsAtCompileTime, 1, 0, MaxRowsAtCompileTime, 1> TmpMatrixType;
typedef Transpositions<RowsAtCompileTime, MaxRowsAtCompileTime> TranspositionType;
typedef PermutationMatrix<RowsAtCompileTime, MaxRowsAtCompileTime> PermutationType;
typedef internal::LDLT_Traits<MatrixType,UpLo> Traits;
/** \brief Default Constructor.
*
* The default constructor is useful in cases in which the user intends to
* perform decompositions via LDLT::compute(const MatrixType&).
*/
LDLT()
: m_matrix(),
m_transpositions(),
m_sign(internal::ZeroSign),
m_isInitialized(false)
{}
/** \brief Default Constructor with memory preallocation
*
* Like the default constructor but with preallocation of the internal data
* according to the specified problem \a size.
* \sa LDLT()
*/
explicit LDLT(Index size)
: m_matrix(size, size),
m_transpositions(size),
m_temporary(size),
m_sign(internal::ZeroSign),
m_isInitialized(false)
{}
/** \brief Constructor with decomposition
*
* This calculates the decomposition for the input \a matrix.
*
* \sa LDLT(Index size)
*/
template<typename InputType>
explicit LDLT(const EigenBase<InputType>& matrix)
: m_matrix(matrix.rows(), matrix.cols()),
m_transpositions(matrix.rows()),
m_temporary(matrix.rows()),
m_sign(internal::ZeroSign),
m_isInitialized(false)
{
compute(matrix.derived());
}
/** \brief Constructs a LDLT factorization from a given matrix
*
* This overloaded constructor is provided for \link InplaceDecomposition inplace decomposition \endlink when \c MatrixType is a Eigen::Ref.
*
* \sa LDLT(const EigenBase&)
*/
template<typename InputType>
explicit LDLT(EigenBase<InputType>& matrix)
: m_matrix(matrix.derived()),
m_transpositions(matrix.rows()),
m_temporary(matrix.rows()),
m_sign(internal::ZeroSign),
m_isInitialized(false)
{
compute(matrix.derived());
}
/** Clear any existing decomposition
* \sa rankUpdate(w,sigma)
*/
void setZero()
{
m_isInitialized = false;
}
/** \returns a view of the upper triangular matrix U */
inline typename Traits::MatrixU matrixU() const
{
eigen_assert(m_isInitialized && "LDLT is not initialized.");
return Traits::getU(m_matrix);
}
/** \returns a view of the lower triangular matrix L */
inline typename Traits::MatrixL matrixL() const
{
eigen_assert(m_isInitialized && "LDLT is not initialized.");
return Traits::getL(m_matrix);
}
/** \returns the permutation matrix P as a transposition sequence.
*/
inline const TranspositionType& transpositionsP() const
{
eigen_assert(m_isInitialized && "LDLT is not initialized.");
return m_transpositions;
}
/** \returns the coefficients of the diagonal matrix D */
inline Diagonal<const MatrixType> vectorD() const
{
eigen_assert(m_isInitialized && "LDLT is not initialized.");
return m_matrix.diagonal();
}
/** \returns true if the matrix is positive (semidefinite) */
inline bool isPositive() const
{
eigen_assert(m_isInitialized && "LDLT is not initialized.");
return m_sign == internal::PositiveSemiDef || m_sign == internal::ZeroSign;
}
/** \returns true if the matrix is negative (semidefinite) */
inline bool isNegative(void) const
{
eigen_assert(m_isInitialized && "LDLT is not initialized.");
return m_sign == internal::NegativeSemiDef || m_sign == internal::ZeroSign;
}
#ifdef EIGEN_PARSED_BY_DOXYGEN
/** \returns a solution x of \f$ A x = b \f$ using the current decomposition of A.
*
* This function also supports in-place solves using the syntax <tt>x = decompositionObject.solve(x)</tt> .
*
* \note_about_checking_solutions
*
* More precisely, this method solves \f$ A x = b \f$ using the decomposition \f$ A = P^T L D L^* P \f$
* by solving the systems \f$ P^T y_1 = b \f$, \f$ L y_2 = y_1 \f$, \f$ D y_3 = y_2 \f$,
* \f$ L^* y_4 = y_3 \f$ and \f$ P x = y_4 \f$ in succession. If the matrix \f$ A \f$ is singular, then
* \f$ D \f$ will also be singular (all the other matrices are invertible). In that case, the
* least-square solution of \f$ D y_3 = y_2 \f$ is computed. This does not mean that this function
* computes the least-square solution of \f$ A x = b \f$ if \f$ A \f$ is singular.
*
* \sa MatrixBase::ldlt(), SelfAdjointView::ldlt()
*/
template<typename Rhs>
inline const Solve<LDLT, Rhs>
solve(const MatrixBase<Rhs>& b) const;
#endif
template<typename Derived>
bool solveInPlace(MatrixBase<Derived> &bAndX) const;
template<typename InputType>
LDLT& compute(const EigenBase<InputType>& matrix);
/** \returns an estimate of the reciprocal condition number of the matrix of
* which \c *this is the LDLT decomposition.
*/
RealScalar rcond() const
{
eigen_assert(m_isInitialized && "LDLT is not initialized.");
return internal::rcond_estimate_helper(m_l1_norm, *this);
}
template <typename Derived>
LDLT& rankUpdate(const MatrixBase<Derived>& w, const RealScalar& alpha=1);
/** \returns the internal LDLT decomposition matrix
*
* TODO: document the storage layout
*/
inline const MatrixType& matrixLDLT() const
{
eigen_assert(m_isInitialized && "LDLT is not initialized.");
return m_matrix;
}
MatrixType reconstructedMatrix() const;
/** \returns the adjoint of \c *this, that is, a const reference to the decomposition itself as the underlying matrix is self-adjoint.
*
* This method is provided for compatibility with other matrix decompositions, thus enabling generic code such as:
* \code x = decomposition.adjoint().solve(b) \endcode
*/
const LDLT& adjoint() const { return *this; };
EIGEN_DEVICE_FUNC inline EIGEN_CONSTEXPR Index rows() const EIGEN_NOEXCEPT { return m_matrix.rows(); }
EIGEN_DEVICE_FUNC inline EIGEN_CONSTEXPR Index cols() const EIGEN_NOEXCEPT { return m_matrix.cols(); }
/** \brief Reports whether previous computation was successful.
*
* \returns \c Success if computation was successful,
* \c NumericalIssue if the factorization failed because of a zero pivot.
*/
ComputationInfo info() const
{
eigen_assert(m_isInitialized && "LDLT is not initialized.");
return m_info;
}
#ifndef EIGEN_PARSED_BY_DOXYGEN
template<typename RhsType, typename DstType>
void _solve_impl(const RhsType &rhs, DstType &dst) const;
template<bool Conjugate, typename RhsType, typename DstType>
void _solve_impl_transposed(const RhsType &rhs, DstType &dst) const;
#endif
protected:
static void check_template_parameters()
{
EIGEN_STATIC_ASSERT_NON_INTEGER(Scalar);
}
/** \internal
* Used to compute and store the Cholesky decomposition A = L D L^* = U^* D U.
* The strict upper part is used during the decomposition, the strict lower
* part correspond to the coefficients of L (its diagonal is equal to 1 and
* is not stored), and the diagonal entries correspond to D.
*/
MatrixType m_matrix;
RealScalar m_l1_norm;
TranspositionType m_transpositions;
TmpMatrixType m_temporary;
internal::SignMatrix m_sign;
bool m_isInitialized;
ComputationInfo m_info;
};
namespace internal {
template<int UpLo> struct ldlt_inplace;
template<> struct ldlt_inplace<Lower>
{
template<typename MatrixType, typename TranspositionType, typename Workspace>
static bool unblocked(MatrixType& mat, TranspositionType& transpositions, Workspace& temp, SignMatrix& sign)
{
using std::abs;
typedef typename MatrixType::Scalar Scalar;
typedef typename MatrixType::RealScalar RealScalar;
typedef typename TranspositionType::StorageIndex IndexType;
eigen_assert(mat.rows()==mat.cols());
const Index size = mat.rows();
bool found_zero_pivot = false;
bool ret = true;
if (size <= 1)
{
transpositions.setIdentity();
if(size==0) sign = ZeroSign;
else if (numext::real(mat.coeff(0,0)) > static_cast<RealScalar>(0) ) sign = PositiveSemiDef;
else if (numext::real(mat.coeff(0,0)) < static_cast<RealScalar>(0)) sign = NegativeSemiDef;
else sign = ZeroSign;
return true;
}
for (Index k = 0; k < size; ++k)
{
// Find largest diagonal element
Index index_of_biggest_in_corner;
mat.diagonal().tail(size-k).cwiseAbs().maxCoeff(&index_of_biggest_in_corner);
index_of_biggest_in_corner += k;
transpositions.coeffRef(k) = IndexType(index_of_biggest_in_corner);
if(k != index_of_biggest_in_corner)
{
// apply the transposition while taking care to consider only
// the lower triangular part
Index s = size-index_of_biggest_in_corner-1; // trailing size after the biggest element
mat.row(k).head(k).swap(mat.row(index_of_biggest_in_corner).head(k));
mat.col(k).tail(s).swap(mat.col(index_of_biggest_in_corner).tail(s));
std::swap(mat.coeffRef(k,k),mat.coeffRef(index_of_biggest_in_corner,index_of_biggest_in_corner));
for(Index i=k+1;i<index_of_biggest_in_corner;++i)
{
Scalar tmp = mat.coeffRef(i,k);
mat.coeffRef(i,k) = numext::conj(mat.coeffRef(index_of_biggest_in_corner,i));
mat.coeffRef(index_of_biggest_in_corner,i) = numext::conj(tmp);
}
if(NumTraits<Scalar>::IsComplex)
mat.coeffRef(index_of_biggest_in_corner,k) = numext::conj(mat.coeff(index_of_biggest_in_corner,k));
}
// partition the matrix:
// A00 | - | -
// lu = A10 | A11 | -
// A20 | A21 | A22
Index rs = size - k - 1;
Block<MatrixType,Dynamic,1> A21(mat,k+1,k,rs,1);
Block<MatrixType,1,Dynamic> A10(mat,k,0,1,k);
Block<MatrixType,Dynamic,Dynamic> A20(mat,k+1,0,rs,k);
if(k>0)
{
temp.head(k) = mat.diagonal().real().head(k).asDiagonal() * A10.adjoint();
mat.coeffRef(k,k) -= (A10 * temp.head(k)).value();
if(rs>0)
A21.noalias() -= A20 * temp.head(k);
}
// In some previous versions of Eigen (e.g., 3.2.1), the scaling was omitted if the pivot
// was smaller than the cutoff value. However, since LDLT is not rank-revealing
// we should only make sure that we do not introduce INF or NaN values.
// Remark that LAPACK also uses 0 as the cutoff value.
RealScalar realAkk = numext::real(mat.coeffRef(k,k));
bool pivot_is_valid = (abs(realAkk) > RealScalar(0));
if(k==0 && !pivot_is_valid)
{
// The entire diagonal is zero, there is nothing more to do
// except filling the transpositions, and checking whether the matrix is zero.
sign = ZeroSign;
for(Index j = 0; j<size; ++j)
{
transpositions.coeffRef(j) = IndexType(j);
ret = ret && (mat.col(j).tail(size-j-1).array()==Scalar(0)).all();
}
return ret;
}
if((rs>0) && pivot_is_valid)
A21 /= realAkk;
else if(rs>0)
ret = ret && (A21.array()==Scalar(0)).all();
if(found_zero_pivot && pivot_is_valid) ret = false; // factorization failed
else if(!pivot_is_valid) found_zero_pivot = true;
if (sign == PositiveSemiDef) {
if (realAkk < static_cast<RealScalar>(0)) sign = Indefinite;
} else if (sign == NegativeSemiDef) {
if (realAkk > static_cast<RealScalar>(0)) sign = Indefinite;
} else if (sign == ZeroSign) {
if (realAkk > static_cast<RealScalar>(0)) sign = PositiveSemiDef;
else if (realAkk < static_cast<RealScalar>(0)) sign = NegativeSemiDef;
}
}
return ret;
}
// Reference for the algorithm: Davis and Hager, "Multiple Rank
// Modifications of a Sparse Cholesky Factorization" (Algorithm 1)
// Trivial rearrangements of their computations (Timothy E. Holy)
// allow their algorithm to work for rank-1 updates even if the
// original matrix is not of full rank.
// Here only rank-1 updates are implemented, to reduce the
// requirement for intermediate storage and improve accuracy
template<typename MatrixType, typename WDerived>
static bool updateInPlace(MatrixType& mat, MatrixBase<WDerived>& w, const typename MatrixType::RealScalar& sigma=1)
{
using numext::isfinite;
typedef typename MatrixType::Scalar Scalar;
typedef typename MatrixType::RealScalar RealScalar;
const Index size = mat.rows();
eigen_assert(mat.cols() == size && w.size()==size);
RealScalar alpha = 1;
// Apply the update
for (Index j = 0; j < size; j++)
{
// Check for termination due to an original decomposition of low-rank
if (!(isfinite)(alpha))
break;
// Update the diagonal terms
RealScalar dj = numext::real(mat.coeff(j,j));
Scalar wj = w.coeff(j);
RealScalar swj2 = sigma*numext::abs2(wj);
RealScalar gamma = dj*alpha + swj2;
mat.coeffRef(j,j) += swj2/alpha;
alpha += swj2/dj;
// Update the terms of L
Index rs = size-j-1;
w.tail(rs) -= wj * mat.col(j).tail(rs);
if(gamma != 0)
mat.col(j).tail(rs) += (sigma*numext::conj(wj)/gamma)*w.tail(rs);
}
return true;
}
template<typename MatrixType, typename TranspositionType, typename Workspace, typename WType>
static bool update(MatrixType& mat, const TranspositionType& transpositions, Workspace& tmp, const WType& w, const typename MatrixType::RealScalar& sigma=1)
{
// Apply the permutation to the input w
tmp = transpositions * w;
return ldlt_inplace<Lower>::updateInPlace(mat,tmp,sigma);
}
};
template<> struct ldlt_inplace<Upper>
{
template<typename MatrixType, typename TranspositionType, typename Workspace>
static EIGEN_STRONG_INLINE bool unblocked(MatrixType& mat, TranspositionType& transpositions, Workspace& temp, SignMatrix& sign)
{
Transpose<MatrixType> matt(mat);
return ldlt_inplace<Lower>::unblocked(matt, transpositions, temp, sign);
}
template<typename MatrixType, typename TranspositionType, typename Workspace, typename WType>
static EIGEN_STRONG_INLINE bool update(MatrixType& mat, TranspositionType& transpositions, Workspace& tmp, WType& w, const typename MatrixType::RealScalar& sigma=1)
{
Transpose<MatrixType> matt(mat);
return ldlt_inplace<Lower>::update(matt, transpositions, tmp, w.conjugate(), sigma);
}
};
template<typename MatrixType> struct LDLT_Traits<MatrixType,Lower>
{
typedef const TriangularView<const MatrixType, UnitLower> MatrixL;
typedef const TriangularView<const typename MatrixType::AdjointReturnType, UnitUpper> MatrixU;
static inline MatrixL getL(const MatrixType& m) { return MatrixL(m); }
static inline MatrixU getU(const MatrixType& m) { return MatrixU(m.adjoint()); }
};
template<typename MatrixType> struct LDLT_Traits<MatrixType,Upper>
{
typedef const TriangularView<const typename MatrixType::AdjointReturnType, UnitLower> MatrixL;
typedef const TriangularView<const MatrixType, UnitUpper> MatrixU;
static inline MatrixL getL(const MatrixType& m) { return MatrixL(m.adjoint()); }
static inline MatrixU getU(const MatrixType& m) { return MatrixU(m); }
};
} // end namespace internal
/** Compute / recompute the LDLT decomposition A = L D L^* = U^* D U of \a matrix
*/
template<typename MatrixType, int _UpLo>
template<typename InputType>
LDLT<MatrixType,_UpLo>& LDLT<MatrixType,_UpLo>::compute(const EigenBase<InputType>& a)
{
check_template_parameters();
eigen_assert(a.rows()==a.cols());
const Index size = a.rows();
m_matrix = a.derived();
// Compute matrix L1 norm = max abs column sum.
m_l1_norm = RealScalar(0);
// TODO move this code to SelfAdjointView
for (Index col = 0; col < size; ++col) {
RealScalar abs_col_sum;
if (_UpLo == Lower)
abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
else
abs_col_sum = m_matrix.col(col).head(col).template lpNorm<1>() + m_matrix.row(col).tail(size - col).template lpNorm<1>();
if (abs_col_sum > m_l1_norm)
m_l1_norm = abs_col_sum;
}
m_transpositions.resize(size);
m_isInitialized = false;
m_temporary.resize(size);
m_sign = internal::ZeroSign;
m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
m_isInitialized = true;
return *this;
}
/** Update the LDLT decomposition: given A = L D L^T, efficiently compute the decomposition of A + sigma w w^T.
* \param w a vector to be incorporated into the decomposition.
* \param sigma a scalar, +1 for updates and -1 for "downdates," which correspond to removing previously-added column vectors. Optional; default value is +1.
* \sa setZero()
*/
template<typename MatrixType, int _UpLo>
template<typename Derived>
LDLT<MatrixType,_UpLo>& LDLT<MatrixType,_UpLo>::rankUpdate(const MatrixBase<Derived>& w, const typename LDLT<MatrixType,_UpLo>::RealScalar& sigma)
{
typedef typename TranspositionType::StorageIndex IndexType;
const Index size = w.rows();
if (m_isInitialized)
{
eigen_assert(m_matrix.rows()==size);
}
else
{
m_matrix.resize(size,size);
m_matrix.setZero();
m_transpositions.resize(size);
for (Index i = 0; i < size; i++)
m_transpositions.coeffRef(i) = IndexType(i);
m_temporary.resize(size);
m_sign = sigma>=0 ? internal::PositiveSemiDef : internal::NegativeSemiDef;
m_isInitialized = true;
}
internal::ldlt_inplace<UpLo>::update(m_matrix, m_transpositions, m_temporary, w, sigma);
return *this;
}
#ifndef EIGEN_PARSED_BY_DOXYGEN
template<typename _MatrixType, int _UpLo>
template<typename RhsType, typename DstType>
void LDLT<_MatrixType,_UpLo>::_solve_impl(const RhsType &rhs, DstType &dst) const
{
_solve_impl_transposed<true>(rhs, dst);
}
template<typename _MatrixType,int _UpLo>
template<bool Conjugate, typename RhsType, typename DstType>
void LDLT<_MatrixType,_UpLo>::_solve_impl_transposed(const RhsType &rhs, DstType &dst) const
{
// dst = P b
dst = m_transpositions * rhs;
// dst = L^-1 (P b)
// dst = L^-*T (P b)
matrixL().template conjugateIf<!Conjugate>().solveInPlace(dst);
// dst = D^-* (L^-1 P b)
// dst = D^-1 (L^-*T P b)
// more precisely, use pseudo-inverse of D (see bug 241)
using std::abs;
const typename Diagonal<const MatrixType>::RealReturnType vecD(vectorD());
// In some previous versions, tolerance was set to the max of 1/highest (or rather numeric_limits::min())
// and the maximal diagonal entry * epsilon as motivated by LAPACK's xGELSS:
// RealScalar tolerance = numext::maxi(vecD.array().abs().maxCoeff() * NumTraits<RealScalar>::epsilon(),RealScalar(1) / NumTraits<RealScalar>::highest());
// However, LDLT is not rank revealing, and so adjusting the tolerance wrt to the highest
// diagonal element is not well justified and leads to numerical issues in some cases.
// Moreover, Lapack's xSYTRS routines use 0 for the tolerance.
// Using numeric_limits::min() gives us more robustness to denormals.
RealScalar tolerance = (std::numeric_limits<RealScalar>::min)();
for (Index i = 0; i < vecD.size(); ++i)
{
if(abs(vecD(i)) > tolerance)
dst.row(i) /= vecD(i);
else
dst.row(i).setZero();
}
// dst = L^-* (D^-* L^-1 P b)
// dst = L^-T (D^-1 L^-*T P b)
matrixL().transpose().template conjugateIf<Conjugate>().solveInPlace(dst);
// dst = P^T (L^-* D^-* L^-1 P b) = A^-1 b
// dst = P^-T (L^-T D^-1 L^-*T P b) = A^-1 b
dst = m_transpositions.transpose() * dst;
}
#endif
/** \internal use x = ldlt_object.solve(x);
*
* This is the \em in-place version of solve().
*
* \param bAndX represents both the right-hand side matrix b and result x.
*
* \returns true always! If you need to check for existence of solutions, use another decomposition like LU, QR, or SVD.
*
* This version avoids a copy when the right hand side matrix b is not
* needed anymore.
*
* \sa LDLT::solve(), MatrixBase::ldlt()
*/
template<typename MatrixType,int _UpLo>
template<typename Derived>
bool LDLT<MatrixType,_UpLo>::solveInPlace(MatrixBase<Derived> &bAndX) const
{
eigen_assert(m_isInitialized && "LDLT is not initialized.");
eigen_assert(m_matrix.rows() == bAndX.rows());
bAndX = this->solve(bAndX);
return true;
}
/** \returns the matrix represented by the decomposition,
* i.e., it returns the product: P^T L D L^* P.
* This function is provided for debug purpose. */
template<typename MatrixType, int _UpLo>
MatrixType LDLT<MatrixType,_UpLo>::reconstructedMatrix() const
{
eigen_assert(m_isInitialized && "LDLT is not initialized.");
const Index size = m_matrix.rows();
MatrixType res(size,size);
// P
res.setIdentity();
res = transpositionsP() * res;
// L^* P
res = matrixU() * res;
// D(L^*P)
res = vectorD().real().asDiagonal() * res;
// L(DL^*P)
res = matrixL() * res;
// P^T (LDL^*P)
res = transpositionsP().transpose() * res;
return res;
}
/** \cholesky_module
* \returns the Cholesky decomposition with full pivoting without square root of \c *this
* \sa MatrixBase::ldlt()
*/
template<typename MatrixType, unsigned int UpLo>
inline const LDLT<typename SelfAdjointView<MatrixType, UpLo>::PlainObject, UpLo>
SelfAdjointView<MatrixType, UpLo>::ldlt() const
{
return LDLT<PlainObject,UpLo>(m_matrix);
}
/** \cholesky_module
* \returns the Cholesky decomposition with full pivoting without square root of \c *this
* \sa SelfAdjointView::ldlt()
*/
template<typename Derived>
inline const LDLT<typename MatrixBase<Derived>::PlainObject>
MatrixBase<Derived>::ldlt() const
{
return LDLT<PlainObject>(derived());
}
} // end namespace Eigen
#endif // EIGEN_LDLT_H

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@@ -0,0 +1,558 @@
// This file is part of Eigen, a lightweight C++ template library
// for linear algebra.
//
// Copyright (C) 2008 Gael Guennebaud <gael.guennebaud@inria.fr>
//
// This Source Code Form is subject to the terms of the Mozilla
// Public License v. 2.0. If a copy of the MPL was not distributed
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
#ifndef EIGEN_LLT_H
#define EIGEN_LLT_H
namespace Eigen {
namespace internal{
template<typename _MatrixType, int _UpLo> struct traits<LLT<_MatrixType, _UpLo> >
: traits<_MatrixType>
{
typedef MatrixXpr XprKind;
typedef SolverStorage StorageKind;
typedef int StorageIndex;
enum { Flags = 0 };
};
template<typename MatrixType, int UpLo> struct LLT_Traits;
}
/** \ingroup Cholesky_Module
*
* \class LLT
*
* \brief Standard Cholesky decomposition (LL^T) of a matrix and associated features
*
* \tparam _MatrixType the type of the matrix of which we are computing the LL^T Cholesky decomposition
* \tparam _UpLo the triangular part that will be used for the decompositon: Lower (default) or Upper.
* The other triangular part won't be read.
*
* This class performs a LL^T Cholesky decomposition of a symmetric, positive definite
* matrix A such that A = LL^* = U^*U, where L is lower triangular.
*
* While the Cholesky decomposition is particularly useful to solve selfadjoint problems like D^*D x = b,
* for that purpose, we recommend the Cholesky decomposition without square root which is more stable
* and even faster. Nevertheless, this standard Cholesky decomposition remains useful in many other
* situations like generalised eigen problems with hermitian matrices.
*
* Remember that Cholesky decompositions are not rank-revealing. This LLT decomposition is only stable on positive definite matrices,
* use LDLT instead for the semidefinite case. Also, do not use a Cholesky decomposition to determine whether a system of equations
* has a solution.
*
* Example: \include LLT_example.cpp
* Output: \verbinclude LLT_example.out
*
* \b Performance: for best performance, it is recommended to use a column-major storage format
* with the Lower triangular part (the default), or, equivalently, a row-major storage format
* with the Upper triangular part. Otherwise, you might get a 20% slowdown for the full factorization
* step, and rank-updates can be up to 3 times slower.
*
* This class supports the \link InplaceDecomposition inplace decomposition \endlink mechanism.
*
* Note that during the decomposition, only the lower (or upper, as defined by _UpLo) triangular part of A is considered.
* Therefore, the strict lower part does not have to store correct values.
*
* \sa MatrixBase::llt(), SelfAdjointView::llt(), class LDLT
*/
template<typename _MatrixType, int _UpLo> class LLT
: public SolverBase<LLT<_MatrixType, _UpLo> >
{
public:
typedef _MatrixType MatrixType;
typedef SolverBase<LLT> Base;
friend class SolverBase<LLT>;
EIGEN_GENERIC_PUBLIC_INTERFACE(LLT)
enum {
MaxColsAtCompileTime = MatrixType::MaxColsAtCompileTime
};
enum {
PacketSize = internal::packet_traits<Scalar>::size,
AlignmentMask = int(PacketSize)-1,
UpLo = _UpLo
};
typedef internal::LLT_Traits<MatrixType,UpLo> Traits;
/**
* \brief Default Constructor.
*
* The default constructor is useful in cases in which the user intends to
* perform decompositions via LLT::compute(const MatrixType&).
*/
LLT() : m_matrix(), m_isInitialized(false) {}
/** \brief Default Constructor with memory preallocation
*
* Like the default constructor but with preallocation of the internal data
* according to the specified problem \a size.
* \sa LLT()
*/
explicit LLT(Index size) : m_matrix(size, size),
m_isInitialized(false) {}
template<typename InputType>
explicit LLT(const EigenBase<InputType>& matrix)
: m_matrix(matrix.rows(), matrix.cols()),
m_isInitialized(false)
{
compute(matrix.derived());
}
/** \brief Constructs a LLT factorization from a given matrix
*
* This overloaded constructor is provided for \link InplaceDecomposition inplace decomposition \endlink when
* \c MatrixType is a Eigen::Ref.
*
* \sa LLT(const EigenBase&)
*/
template<typename InputType>
explicit LLT(EigenBase<InputType>& matrix)
: m_matrix(matrix.derived()),
m_isInitialized(false)
{
compute(matrix.derived());
}
/** \returns a view of the upper triangular matrix U */
inline typename Traits::MatrixU matrixU() const
{
eigen_assert(m_isInitialized && "LLT is not initialized.");
return Traits::getU(m_matrix);
}
/** \returns a view of the lower triangular matrix L */
inline typename Traits::MatrixL matrixL() const
{
eigen_assert(m_isInitialized && "LLT is not initialized.");
return Traits::getL(m_matrix);
}
#ifdef EIGEN_PARSED_BY_DOXYGEN
/** \returns the solution x of \f$ A x = b \f$ using the current decomposition of A.
*
* Since this LLT class assumes anyway that the matrix A is invertible, the solution
* theoretically exists and is unique regardless of b.
*
* Example: \include LLT_solve.cpp
* Output: \verbinclude LLT_solve.out
*
* \sa solveInPlace(), MatrixBase::llt(), SelfAdjointView::llt()
*/
template<typename Rhs>
inline const Solve<LLT, Rhs>
solve(const MatrixBase<Rhs>& b) const;
#endif
template<typename Derived>
void solveInPlace(const MatrixBase<Derived> &bAndX) const;
template<typename InputType>
LLT& compute(const EigenBase<InputType>& matrix);
/** \returns an estimate of the reciprocal condition number of the matrix of
* which \c *this is the Cholesky decomposition.
*/
RealScalar rcond() const
{
eigen_assert(m_isInitialized && "LLT is not initialized.");
eigen_assert(m_info == Success && "LLT failed because matrix appears to be negative");
return internal::rcond_estimate_helper(m_l1_norm, *this);
}
/** \returns the LLT decomposition matrix
*
* TODO: document the storage layout
*/
inline const MatrixType& matrixLLT() const
{
eigen_assert(m_isInitialized && "LLT is not initialized.");
return m_matrix;
}
MatrixType reconstructedMatrix() const;
/** \brief Reports whether previous computation was successful.
*
* \returns \c Success if computation was successful,
* \c NumericalIssue if the matrix.appears not to be positive definite.
*/
ComputationInfo info() const
{
eigen_assert(m_isInitialized && "LLT is not initialized.");
return m_info;
}
/** \returns the adjoint of \c *this, that is, a const reference to the decomposition itself as the underlying matrix is self-adjoint.
*
* This method is provided for compatibility with other matrix decompositions, thus enabling generic code such as:
* \code x = decomposition.adjoint().solve(b) \endcode
*/
const LLT& adjoint() const EIGEN_NOEXCEPT { return *this; };
inline EIGEN_CONSTEXPR Index rows() const EIGEN_NOEXCEPT { return m_matrix.rows(); }
inline EIGEN_CONSTEXPR Index cols() const EIGEN_NOEXCEPT { return m_matrix.cols(); }
template<typename VectorType>
LLT & rankUpdate(const VectorType& vec, const RealScalar& sigma = 1);
#ifndef EIGEN_PARSED_BY_DOXYGEN
template<typename RhsType, typename DstType>
void _solve_impl(const RhsType &rhs, DstType &dst) const;
template<bool Conjugate, typename RhsType, typename DstType>
void _solve_impl_transposed(const RhsType &rhs, DstType &dst) const;
#endif
protected:
static void check_template_parameters()
{
EIGEN_STATIC_ASSERT_NON_INTEGER(Scalar);
}
/** \internal
* Used to compute and store L
* The strict upper part is not used and even not initialized.
*/
MatrixType m_matrix;
RealScalar m_l1_norm;
bool m_isInitialized;
ComputationInfo m_info;
};
namespace internal {
template<typename Scalar, int UpLo> struct llt_inplace;
template<typename MatrixType, typename VectorType>
static Index llt_rank_update_lower(MatrixType& mat, const VectorType& vec, const typename MatrixType::RealScalar& sigma)
{
using std::sqrt;
typedef typename MatrixType::Scalar Scalar;
typedef typename MatrixType::RealScalar RealScalar;
typedef typename MatrixType::ColXpr ColXpr;
typedef typename internal::remove_all<ColXpr>::type ColXprCleaned;
typedef typename ColXprCleaned::SegmentReturnType ColXprSegment;
typedef Matrix<Scalar,Dynamic,1> TempVectorType;
typedef typename TempVectorType::SegmentReturnType TempVecSegment;
Index n = mat.cols();
eigen_assert(mat.rows()==n && vec.size()==n);
TempVectorType temp;
if(sigma>0)
{
// This version is based on Givens rotations.
// It is faster than the other one below, but only works for updates,
// i.e., for sigma > 0
temp = sqrt(sigma) * vec;
for(Index i=0; i<n; ++i)
{
JacobiRotation<Scalar> g;
g.makeGivens(mat(i,i), -temp(i), &mat(i,i));
Index rs = n-i-1;
if(rs>0)
{
ColXprSegment x(mat.col(i).tail(rs));
TempVecSegment y(temp.tail(rs));
apply_rotation_in_the_plane(x, y, g);
}
}
}
else
{
temp = vec;
RealScalar beta = 1;
for(Index j=0; j<n; ++j)
{
RealScalar Ljj = numext::real(mat.coeff(j,j));
RealScalar dj = numext::abs2(Ljj);
Scalar wj = temp.coeff(j);
RealScalar swj2 = sigma*numext::abs2(wj);
RealScalar gamma = dj*beta + swj2;
RealScalar x = dj + swj2/beta;
if (x<=RealScalar(0))
return j;
RealScalar nLjj = sqrt(x);
mat.coeffRef(j,j) = nLjj;
beta += swj2/dj;
// Update the terms of L
Index rs = n-j-1;
if(rs)
{
temp.tail(rs) -= (wj/Ljj) * mat.col(j).tail(rs);
if(gamma != 0)
mat.col(j).tail(rs) = (nLjj/Ljj) * mat.col(j).tail(rs) + (nLjj * sigma*numext::conj(wj)/gamma)*temp.tail(rs);
}
}
}
return -1;
}
template<typename Scalar> struct llt_inplace<Scalar, Lower>
{
typedef typename NumTraits<Scalar>::Real RealScalar;
template<typename MatrixType>
static Index unblocked(MatrixType& mat)
{
using std::sqrt;
eigen_assert(mat.rows()==mat.cols());
const Index size = mat.rows();
for(Index k = 0; k < size; ++k)
{
Index rs = size-k-1; // remaining size
Block<MatrixType,Dynamic,1> A21(mat,k+1,k,rs,1);
Block<MatrixType,1,Dynamic> A10(mat,k,0,1,k);
Block<MatrixType,Dynamic,Dynamic> A20(mat,k+1,0,rs,k);
RealScalar x = numext::real(mat.coeff(k,k));
if (k>0) x -= A10.squaredNorm();
if (x<=RealScalar(0))
return k;
mat.coeffRef(k,k) = x = sqrt(x);
if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint();
if (rs>0) A21 /= x;
}
return -1;
}
template<typename MatrixType>
static Index blocked(MatrixType& m)
{
eigen_assert(m.rows()==m.cols());
Index size = m.rows();
if(size<32)
return unblocked(m);
Index blockSize = size/8;
blockSize = (blockSize/16)*16;
blockSize = (std::min)((std::max)(blockSize,Index(8)), Index(128));
for (Index k=0; k<size; k+=blockSize)
{
// partition the matrix:
// A00 | - | -
// lu = A10 | A11 | -
// A20 | A21 | A22
Index bs = (std::min)(blockSize, size-k);
Index rs = size - k - bs;
Block<MatrixType,Dynamic,Dynamic> A11(m,k, k, bs,bs);
Block<MatrixType,Dynamic,Dynamic> A21(m,k+bs,k, rs,bs);
Block<MatrixType,Dynamic,Dynamic> A22(m,k+bs,k+bs,rs,rs);
Index ret;
if((ret=unblocked(A11))>=0) return k+ret;
if(rs>0) A11.adjoint().template triangularView<Upper>().template solveInPlace<OnTheRight>(A21);
if(rs>0) A22.template selfadjointView<Lower>().rankUpdate(A21,typename NumTraits<RealScalar>::Literal(-1)); // bottleneck
}
return -1;
}
template<typename MatrixType, typename VectorType>
static Index rankUpdate(MatrixType& mat, const VectorType& vec, const RealScalar& sigma)
{
return Eigen::internal::llt_rank_update_lower(mat, vec, sigma);
}
};
template<typename Scalar> struct llt_inplace<Scalar, Upper>
{
typedef typename NumTraits<Scalar>::Real RealScalar;
template<typename MatrixType>
static EIGEN_STRONG_INLINE Index unblocked(MatrixType& mat)
{
Transpose<MatrixType> matt(mat);
return llt_inplace<Scalar, Lower>::unblocked(matt);
}
template<typename MatrixType>
static EIGEN_STRONG_INLINE Index blocked(MatrixType& mat)
{
Transpose<MatrixType> matt(mat);
return llt_inplace<Scalar, Lower>::blocked(matt);
}
template<typename MatrixType, typename VectorType>
static Index rankUpdate(MatrixType& mat, const VectorType& vec, const RealScalar& sigma)
{
Transpose<MatrixType> matt(mat);
return llt_inplace<Scalar, Lower>::rankUpdate(matt, vec.conjugate(), sigma);
}
};
template<typename MatrixType> struct LLT_Traits<MatrixType,Lower>
{
typedef const TriangularView<const MatrixType, Lower> MatrixL;
typedef const TriangularView<const typename MatrixType::AdjointReturnType, Upper> MatrixU;
static inline MatrixL getL(const MatrixType& m) { return MatrixL(m); }
static inline MatrixU getU(const MatrixType& m) { return MatrixU(m.adjoint()); }
static bool inplace_decomposition(MatrixType& m)
{ return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
};
template<typename MatrixType> struct LLT_Traits<MatrixType,Upper>
{
typedef const TriangularView<const typename MatrixType::AdjointReturnType, Lower> MatrixL;
typedef const TriangularView<const MatrixType, Upper> MatrixU;
static inline MatrixL getL(const MatrixType& m) { return MatrixL(m.adjoint()); }
static inline MatrixU getU(const MatrixType& m) { return MatrixU(m); }
static bool inplace_decomposition(MatrixType& m)
{ return llt_inplace<typename MatrixType::Scalar, Upper>::blocked(m)==-1; }
};
} // end namespace internal
/** Computes / recomputes the Cholesky decomposition A = LL^* = U^*U of \a matrix
*
* \returns a reference to *this
*
* Example: \include TutorialLinAlgComputeTwice.cpp
* Output: \verbinclude TutorialLinAlgComputeTwice.out
*/
template<typename MatrixType, int _UpLo>
template<typename InputType>
LLT<MatrixType,_UpLo>& LLT<MatrixType,_UpLo>::compute(const EigenBase<InputType>& a)
{
check_template_parameters();
eigen_assert(a.rows()==a.cols());
const Index size = a.rows();
m_matrix.resize(size, size);
if (!internal::is_same_dense(m_matrix, a.derived()))
m_matrix = a.derived();
// Compute matrix L1 norm = max abs column sum.
m_l1_norm = RealScalar(0);
// TODO move this code to SelfAdjointView
for (Index col = 0; col < size; ++col) {
RealScalar abs_col_sum;
if (_UpLo == Lower)
abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
else
abs_col_sum = m_matrix.col(col).head(col).template lpNorm<1>() + m_matrix.row(col).tail(size - col).template lpNorm<1>();
if (abs_col_sum > m_l1_norm)
m_l1_norm = abs_col_sum;
}
m_isInitialized = true;
bool ok = Traits::inplace_decomposition(m_matrix);
m_info = ok ? Success : NumericalIssue;
return *this;
}
/** Performs a rank one update (or dowdate) of the current decomposition.
* If A = LL^* before the rank one update,
* then after it we have LL^* = A + sigma * v v^* where \a v must be a vector
* of same dimension.
*/
template<typename _MatrixType, int _UpLo>
template<typename VectorType>
LLT<_MatrixType,_UpLo> & LLT<_MatrixType,_UpLo>::rankUpdate(const VectorType& v, const RealScalar& sigma)
{
EIGEN_STATIC_ASSERT_VECTOR_ONLY(VectorType);
eigen_assert(v.size()==m_matrix.cols());
eigen_assert(m_isInitialized);
if(internal::llt_inplace<typename MatrixType::Scalar, UpLo>::rankUpdate(m_matrix,v,sigma)>=0)
m_info = NumericalIssue;
else
m_info = Success;
return *this;
}
#ifndef EIGEN_PARSED_BY_DOXYGEN
template<typename _MatrixType,int _UpLo>
template<typename RhsType, typename DstType>
void LLT<_MatrixType,_UpLo>::_solve_impl(const RhsType &rhs, DstType &dst) const
{
_solve_impl_transposed<true>(rhs, dst);
}
template<typename _MatrixType,int _UpLo>
template<bool Conjugate, typename RhsType, typename DstType>
void LLT<_MatrixType,_UpLo>::_solve_impl_transposed(const RhsType &rhs, DstType &dst) const
{
dst = rhs;
matrixL().template conjugateIf<!Conjugate>().solveInPlace(dst);
matrixU().template conjugateIf<!Conjugate>().solveInPlace(dst);
}
#endif
/** \internal use x = llt_object.solve(x);
*
* This is the \em in-place version of solve().
*
* \param bAndX represents both the right-hand side matrix b and result x.
*
* This version avoids a copy when the right hand side matrix b is not needed anymore.
*
* \warning The parameter is only marked 'const' to make the C++ compiler accept a temporary expression here.
* This function will const_cast it, so constness isn't honored here.
*
* \sa LLT::solve(), MatrixBase::llt()
*/
template<typename MatrixType, int _UpLo>
template<typename Derived>
void LLT<MatrixType,_UpLo>::solveInPlace(const MatrixBase<Derived> &bAndX) const
{
eigen_assert(m_isInitialized && "LLT is not initialized.");
eigen_assert(m_matrix.rows()==bAndX.rows());
matrixL().solveInPlace(bAndX);
matrixU().solveInPlace(bAndX);
}
/** \returns the matrix represented by the decomposition,
* i.e., it returns the product: L L^*.
* This function is provided for debug purpose. */
template<typename MatrixType, int _UpLo>
MatrixType LLT<MatrixType,_UpLo>::reconstructedMatrix() const
{
eigen_assert(m_isInitialized && "LLT is not initialized.");
return matrixL() * matrixL().adjoint().toDenseMatrix();
}
/** \cholesky_module
* \returns the LLT decomposition of \c *this
* \sa SelfAdjointView::llt()
*/
template<typename Derived>
inline const LLT<typename MatrixBase<Derived>::PlainObject>
MatrixBase<Derived>::llt() const
{
return LLT<PlainObject>(derived());
}
/** \cholesky_module
* \returns the LLT decomposition of \c *this
* \sa SelfAdjointView::llt()
*/
template<typename MatrixType, unsigned int UpLo>
inline const LLT<typename SelfAdjointView<MatrixType, UpLo>::PlainObject, UpLo>
SelfAdjointView<MatrixType, UpLo>::llt() const
{
return LLT<PlainObject,UpLo>(m_matrix);
}
} // end namespace Eigen
#endif // EIGEN_LLT_H

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/*
Copyright (c) 2011, Intel Corporation. All rights reserved.
Redistribution and use in source and binary forms, with or without modification,
are permitted provided that the following conditions are met:
* Redistributions of source code must retain the above copyright notice, this
list of conditions and the following disclaimer.
* Redistributions in binary form must reproduce the above copyright notice,
this list of conditions and the following disclaimer in the documentation
and/or other materials provided with the distribution.
* Neither the name of Intel Corporation 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 OWNER 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.
********************************************************************************
* Content : Eigen bindings to LAPACKe
* LLt decomposition based on LAPACKE_?potrf function.
********************************************************************************
*/
#ifndef EIGEN_LLT_LAPACKE_H
#define EIGEN_LLT_LAPACKE_H
namespace Eigen {
namespace internal {
template<typename Scalar> struct lapacke_llt;
#define EIGEN_LAPACKE_LLT(EIGTYPE, BLASTYPE, LAPACKE_PREFIX) \
template<> struct lapacke_llt<EIGTYPE> \
{ \
template<typename MatrixType> \
static inline Index potrf(MatrixType& m, char uplo) \
{ \
lapack_int matrix_order; \
lapack_int size, lda, info, StorageOrder; \
EIGTYPE* a; \
eigen_assert(m.rows()==m.cols()); \
/* Set up parameters for ?potrf */ \
size = convert_index<lapack_int>(m.rows()); \
StorageOrder = MatrixType::Flags&RowMajorBit?RowMajor:ColMajor; \
matrix_order = StorageOrder==RowMajor ? LAPACK_ROW_MAJOR : LAPACK_COL_MAJOR; \
a = &(m.coeffRef(0,0)); \
lda = convert_index<lapack_int>(m.outerStride()); \
\
info = LAPACKE_##LAPACKE_PREFIX##potrf( matrix_order, uplo, size, (BLASTYPE*)a, lda ); \
info = (info==0) ? -1 : info>0 ? info-1 : size; \
return info; \
} \
}; \
template<> struct llt_inplace<EIGTYPE, Lower> \
{ \
template<typename MatrixType> \
static Index blocked(MatrixType& m) \
{ \
return lapacke_llt<EIGTYPE>::potrf(m, 'L'); \
} \
template<typename MatrixType, typename VectorType> \
static Index rankUpdate(MatrixType& mat, const VectorType& vec, const typename MatrixType::RealScalar& sigma) \
{ return Eigen::internal::llt_rank_update_lower(mat, vec, sigma); } \
}; \
template<> struct llt_inplace<EIGTYPE, Upper> \
{ \
template<typename MatrixType> \
static Index blocked(MatrixType& m) \
{ \
return lapacke_llt<EIGTYPE>::potrf(m, 'U'); \
} \
template<typename MatrixType, typename VectorType> \
static Index rankUpdate(MatrixType& mat, const VectorType& vec, const typename MatrixType::RealScalar& sigma) \
{ \
Transpose<MatrixType> matt(mat); \
return llt_inplace<EIGTYPE, Lower>::rankUpdate(matt, vec.conjugate(), sigma); \
} \
};
EIGEN_LAPACKE_LLT(double, double, d)
EIGEN_LAPACKE_LLT(float, float, s)
EIGEN_LAPACKE_LLT(dcomplex, lapack_complex_double, z)
EIGEN_LAPACKE_LLT(scomplex, lapack_complex_float, c)
} // end namespace internal
} // end namespace Eigen
#endif // EIGEN_LLT_LAPACKE_H

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// This file is part of Eigen, a lightweight C++ template library
// for linear algebra.
//
// Copyright (C) 2008-2010 Gael Guennebaud <gael.guennebaud@inria.fr>
//
// This Source Code Form is subject to the terms of the Mozilla
// Public License v. 2.0. If a copy of the MPL was not distributed
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
#ifndef EIGEN_CHOLMODSUPPORT_H
#define EIGEN_CHOLMODSUPPORT_H
namespace Eigen {
namespace internal {
template<typename Scalar> struct cholmod_configure_matrix;
template<> struct cholmod_configure_matrix<double> {
template<typename CholmodType>
static void run(CholmodType& mat) {
mat.xtype = CHOLMOD_REAL;
mat.dtype = CHOLMOD_DOUBLE;
}
};
template<> struct cholmod_configure_matrix<std::complex<double> > {
template<typename CholmodType>
static void run(CholmodType& mat) {
mat.xtype = CHOLMOD_COMPLEX;
mat.dtype = CHOLMOD_DOUBLE;
}
};
// Other scalar types are not yet supported by Cholmod
// template<> struct cholmod_configure_matrix<float> {
// template<typename CholmodType>
// static void run(CholmodType& mat) {
// mat.xtype = CHOLMOD_REAL;
// mat.dtype = CHOLMOD_SINGLE;
// }
// };
//
// template<> struct cholmod_configure_matrix<std::complex<float> > {
// template<typename CholmodType>
// static void run(CholmodType& mat) {
// mat.xtype = CHOLMOD_COMPLEX;
// mat.dtype = CHOLMOD_SINGLE;
// }
// };
} // namespace internal
/** Wraps the Eigen sparse matrix \a mat into a Cholmod sparse matrix object.
* Note that the data are shared.
*/
template<typename _Scalar, int _Options, typename _StorageIndex>
cholmod_sparse viewAsCholmod(Ref<SparseMatrix<_Scalar,_Options,_StorageIndex> > mat)
{
cholmod_sparse res;
res.nzmax = mat.nonZeros();
res.nrow = mat.rows();
res.ncol = mat.cols();
res.p = mat.outerIndexPtr();
res.i = mat.innerIndexPtr();
res.x = mat.valuePtr();
res.z = 0;
res.sorted = 1;
if(mat.isCompressed())
{
res.packed = 1;
res.nz = 0;
}
else
{
res.packed = 0;
res.nz = mat.innerNonZeroPtr();
}
res.dtype = 0;
res.stype = -1;
if (internal::is_same<_StorageIndex,int>::value)
{
res.itype = CHOLMOD_INT;
}
else if (internal::is_same<_StorageIndex,SuiteSparse_long>::value)
{
res.itype = CHOLMOD_LONG;
}
else
{
eigen_assert(false && "Index type not supported yet");
}
// setup res.xtype
internal::cholmod_configure_matrix<_Scalar>::run(res);
res.stype = 0;
return res;
}
template<typename _Scalar, int _Options, typename _Index>
const cholmod_sparse viewAsCholmod(const SparseMatrix<_Scalar,_Options,_Index>& mat)
{
cholmod_sparse res = viewAsCholmod(Ref<SparseMatrix<_Scalar,_Options,_Index> >(mat.const_cast_derived()));
return res;
}
template<typename _Scalar, int _Options, typename _Index>
const cholmod_sparse viewAsCholmod(const SparseVector<_Scalar,_Options,_Index>& mat)
{
cholmod_sparse res = viewAsCholmod(Ref<SparseMatrix<_Scalar,_Options,_Index> >(mat.const_cast_derived()));
return res;
}
/** Returns a view of the Eigen sparse matrix \a mat as Cholmod sparse matrix.
* The data are not copied but shared. */
template<typename _Scalar, int _Options, typename _Index, unsigned int UpLo>
cholmod_sparse viewAsCholmod(const SparseSelfAdjointView<const SparseMatrix<_Scalar,_Options,_Index>, UpLo>& mat)
{
cholmod_sparse res = viewAsCholmod(Ref<SparseMatrix<_Scalar,_Options,_Index> >(mat.matrix().const_cast_derived()));
if(UpLo==Upper) res.stype = 1;
if(UpLo==Lower) res.stype = -1;
// swap stype for rowmajor matrices (only works for real matrices)
EIGEN_STATIC_ASSERT((_Options & RowMajorBit) == 0 || NumTraits<_Scalar>::IsComplex == 0, THIS_METHOD_IS_ONLY_FOR_COLUMN_MAJOR_MATRICES);
if(_Options & RowMajorBit) res.stype *=-1;
return res;
}
/** Returns a view of the Eigen \b dense matrix \a mat as Cholmod dense matrix.
* The data are not copied but shared. */
template<typename Derived>
cholmod_dense viewAsCholmod(MatrixBase<Derived>& mat)
{
EIGEN_STATIC_ASSERT((internal::traits<Derived>::Flags&RowMajorBit)==0,THIS_METHOD_IS_ONLY_FOR_COLUMN_MAJOR_MATRICES);
typedef typename Derived::Scalar Scalar;
cholmod_dense res;
res.nrow = mat.rows();
res.ncol = mat.cols();
res.nzmax = res.nrow * res.ncol;
res.d = Derived::IsVectorAtCompileTime ? mat.derived().size() : mat.derived().outerStride();
res.x = (void*)(mat.derived().data());
res.z = 0;
internal::cholmod_configure_matrix<Scalar>::run(res);
return res;
}
/** Returns a view of the Cholmod sparse matrix \a cm as an Eigen sparse matrix.
* The data are not copied but shared. */
template<typename Scalar, int Flags, typename StorageIndex>
MappedSparseMatrix<Scalar,Flags,StorageIndex> viewAsEigen(cholmod_sparse& cm)
{
return MappedSparseMatrix<Scalar,Flags,StorageIndex>
(cm.nrow, cm.ncol, static_cast<StorageIndex*>(cm.p)[cm.ncol],
static_cast<StorageIndex*>(cm.p), static_cast<StorageIndex*>(cm.i),static_cast<Scalar*>(cm.x) );
}
namespace internal {
// template specializations for int and long that call the correct cholmod method
#define EIGEN_CHOLMOD_SPECIALIZE0(ret, name) \
template<typename _StorageIndex> inline ret cm_ ## name (cholmod_common &Common) { return cholmod_ ## name (&Common); } \
template<> inline ret cm_ ## name<SuiteSparse_long> (cholmod_common &Common) { return cholmod_l_ ## name (&Common); }
#define EIGEN_CHOLMOD_SPECIALIZE1(ret, name, t1, a1) \
template<typename _StorageIndex> inline ret cm_ ## name (t1& a1, cholmod_common &Common) { return cholmod_ ## name (&a1, &Common); } \
template<> inline ret cm_ ## name<SuiteSparse_long> (t1& a1, cholmod_common &Common) { return cholmod_l_ ## name (&a1, &Common); }
EIGEN_CHOLMOD_SPECIALIZE0(int, start)
EIGEN_CHOLMOD_SPECIALIZE0(int, finish)
EIGEN_CHOLMOD_SPECIALIZE1(int, free_factor, cholmod_factor*, L)
EIGEN_CHOLMOD_SPECIALIZE1(int, free_dense, cholmod_dense*, X)
EIGEN_CHOLMOD_SPECIALIZE1(int, free_sparse, cholmod_sparse*, A)
EIGEN_CHOLMOD_SPECIALIZE1(cholmod_factor*, analyze, cholmod_sparse, A)
template<typename _StorageIndex> inline cholmod_dense* cm_solve (int sys, cholmod_factor& L, cholmod_dense& B, cholmod_common &Common) { return cholmod_solve (sys, &L, &B, &Common); }
template<> inline cholmod_dense* cm_solve<SuiteSparse_long> (int sys, cholmod_factor& L, cholmod_dense& B, cholmod_common &Common) { return cholmod_l_solve (sys, &L, &B, &Common); }
template<typename _StorageIndex> inline cholmod_sparse* cm_spsolve (int sys, cholmod_factor& L, cholmod_sparse& B, cholmod_common &Common) { return cholmod_spsolve (sys, &L, &B, &Common); }
template<> inline cholmod_sparse* cm_spsolve<SuiteSparse_long> (int sys, cholmod_factor& L, cholmod_sparse& B, cholmod_common &Common) { return cholmod_l_spsolve (sys, &L, &B, &Common); }
template<typename _StorageIndex>
inline int cm_factorize_p (cholmod_sparse* A, double beta[2], _StorageIndex* fset, std::size_t fsize, cholmod_factor* L, cholmod_common &Common) { return cholmod_factorize_p (A, beta, fset, fsize, L, &Common); }
template<>
inline int cm_factorize_p<SuiteSparse_long> (cholmod_sparse* A, double beta[2], SuiteSparse_long* fset, std::size_t fsize, cholmod_factor* L, cholmod_common &Common) { return cholmod_l_factorize_p (A, beta, fset, fsize, L, &Common); }
#undef EIGEN_CHOLMOD_SPECIALIZE0
#undef EIGEN_CHOLMOD_SPECIALIZE1
} // namespace internal
enum CholmodMode {
CholmodAuto, CholmodSimplicialLLt, CholmodSupernodalLLt, CholmodLDLt
};
/** \ingroup CholmodSupport_Module
* \class CholmodBase
* \brief The base class for the direct Cholesky factorization of Cholmod
* \sa class CholmodSupernodalLLT, class CholmodSimplicialLDLT, class CholmodSimplicialLLT
*/
template<typename _MatrixType, int _UpLo, typename Derived>
class CholmodBase : public SparseSolverBase<Derived>
{
protected:
typedef SparseSolverBase<Derived> Base;
using Base::derived;
using Base::m_isInitialized;
public:
typedef _MatrixType MatrixType;
enum { UpLo = _UpLo };
typedef typename MatrixType::Scalar Scalar;
typedef typename MatrixType::RealScalar RealScalar;
typedef MatrixType CholMatrixType;
typedef typename MatrixType::StorageIndex StorageIndex;
enum {
ColsAtCompileTime = MatrixType::ColsAtCompileTime,
MaxColsAtCompileTime = MatrixType::MaxColsAtCompileTime
};
public:
CholmodBase()
: m_cholmodFactor(0), m_info(Success), m_factorizationIsOk(false), m_analysisIsOk(false)
{
EIGEN_STATIC_ASSERT((internal::is_same<double,RealScalar>::value), CHOLMOD_SUPPORTS_DOUBLE_PRECISION_ONLY);
m_shiftOffset[0] = m_shiftOffset[1] = 0.0;
internal::cm_start<StorageIndex>(m_cholmod);
}
explicit CholmodBase(const MatrixType& matrix)
: m_cholmodFactor(0), m_info(Success), m_factorizationIsOk(false), m_analysisIsOk(false)
{
EIGEN_STATIC_ASSERT((internal::is_same<double,RealScalar>::value), CHOLMOD_SUPPORTS_DOUBLE_PRECISION_ONLY);
m_shiftOffset[0] = m_shiftOffset[1] = 0.0;
internal::cm_start<StorageIndex>(m_cholmod);
compute(matrix);
}
~CholmodBase()
{
if(m_cholmodFactor)
internal::cm_free_factor<StorageIndex>(m_cholmodFactor, m_cholmod);
internal::cm_finish<StorageIndex>(m_cholmod);
}
inline StorageIndex cols() const { return internal::convert_index<StorageIndex, Index>(m_cholmodFactor->n); }
inline StorageIndex rows() const { return internal::convert_index<StorageIndex, Index>(m_cholmodFactor->n); }
/** \brief Reports whether previous computation was successful.
*
* \returns \c Success if computation was successful,
* \c NumericalIssue if the matrix.appears to be negative.
*/
ComputationInfo info() const
{
eigen_assert(m_isInitialized && "Decomposition is not initialized.");
return m_info;
}
/** Computes the sparse Cholesky decomposition of \a matrix */
Derived& compute(const MatrixType& matrix)
{
analyzePattern(matrix);
factorize(matrix);
return derived();
}
/** Performs a symbolic decomposition on the sparsity pattern of \a matrix.
*
* This function is particularly useful when solving for several problems having the same structure.
*
* \sa factorize()
*/
void analyzePattern(const MatrixType& matrix)
{
if(m_cholmodFactor)
{
internal::cm_free_factor<StorageIndex>(m_cholmodFactor, m_cholmod);
m_cholmodFactor = 0;
}
cholmod_sparse A = viewAsCholmod(matrix.template selfadjointView<UpLo>());
m_cholmodFactor = internal::cm_analyze<StorageIndex>(A, m_cholmod);
this->m_isInitialized = true;
this->m_info = Success;
m_analysisIsOk = true;
m_factorizationIsOk = false;
}
/** Performs a numeric decomposition of \a matrix
*
* The given matrix must have the same sparsity pattern as the matrix on which the symbolic decomposition has been performed.
*
* \sa analyzePattern()
*/
void factorize(const MatrixType& matrix)
{
eigen_assert(m_analysisIsOk && "You must first call analyzePattern()");
cholmod_sparse A = viewAsCholmod(matrix.template selfadjointView<UpLo>());
internal::cm_factorize_p<StorageIndex>(&A, m_shiftOffset, 0, 0, m_cholmodFactor, m_cholmod);
// If the factorization failed, minor is the column at which it did. On success minor == n.
this->m_info = (m_cholmodFactor->minor == m_cholmodFactor->n ? Success : NumericalIssue);
m_factorizationIsOk = true;
}
/** Returns a reference to the Cholmod's configuration structure to get a full control over the performed operations.
* See the Cholmod user guide for details. */
cholmod_common& cholmod() { return m_cholmod; }
#ifndef EIGEN_PARSED_BY_DOXYGEN
/** \internal */
template<typename Rhs,typename Dest>
void _solve_impl(const MatrixBase<Rhs> &b, MatrixBase<Dest> &dest) const
{
eigen_assert(m_factorizationIsOk && "The decomposition is not in a valid state for solving, you must first call either compute() or symbolic()/numeric()");
const Index size = m_cholmodFactor->n;
EIGEN_UNUSED_VARIABLE(size);
eigen_assert(size==b.rows());
// Cholmod needs column-major storage without inner-stride, which corresponds to the default behavior of Ref.
Ref<const Matrix<typename Rhs::Scalar,Dynamic,Dynamic,ColMajor> > b_ref(b.derived());
cholmod_dense b_cd = viewAsCholmod(b_ref);
cholmod_dense* x_cd = internal::cm_solve<StorageIndex>(CHOLMOD_A, *m_cholmodFactor, b_cd, m_cholmod);
if(!x_cd)
{
this->m_info = NumericalIssue;
return;
}
// TODO optimize this copy by swapping when possible (be careful with alignment, etc.)
// NOTE Actually, the copy can be avoided by calling cholmod_solve2 instead of cholmod_solve
dest = Matrix<Scalar,Dest::RowsAtCompileTime,Dest::ColsAtCompileTime>::Map(reinterpret_cast<Scalar*>(x_cd->x),b.rows(),b.cols());
internal::cm_free_dense<StorageIndex>(x_cd, m_cholmod);
}
/** \internal */
template<typename RhsDerived, typename DestDerived>
void _solve_impl(const SparseMatrixBase<RhsDerived> &b, SparseMatrixBase<DestDerived> &dest) const
{
eigen_assert(m_factorizationIsOk && "The decomposition is not in a valid state for solving, you must first call either compute() or symbolic()/numeric()");
const Index size = m_cholmodFactor->n;
EIGEN_UNUSED_VARIABLE(size);
eigen_assert(size==b.rows());
// note: cs stands for Cholmod Sparse
Ref<SparseMatrix<typename RhsDerived::Scalar,ColMajor,typename RhsDerived::StorageIndex> > b_ref(b.const_cast_derived());
cholmod_sparse b_cs = viewAsCholmod(b_ref);
cholmod_sparse* x_cs = internal::cm_spsolve<StorageIndex>(CHOLMOD_A, *m_cholmodFactor, b_cs, m_cholmod);
if(!x_cs)
{
this->m_info = NumericalIssue;
return;
}
// TODO optimize this copy by swapping when possible (be careful with alignment, etc.)
// NOTE cholmod_spsolve in fact just calls the dense solver for blocks of 4 columns at a time (similar to Eigen's sparse solver)
dest.derived() = viewAsEigen<typename DestDerived::Scalar,ColMajor,typename DestDerived::StorageIndex>(*x_cs);
internal::cm_free_sparse<StorageIndex>(x_cs, m_cholmod);
}
#endif // EIGEN_PARSED_BY_DOXYGEN
/** Sets the shift parameter that will be used to adjust the diagonal coefficients during the numerical factorization.
*
* During the numerical factorization, an offset term is added to the diagonal coefficients:\n
* \c d_ii = \a offset + \c d_ii
*
* The default is \a offset=0.
*
* \returns a reference to \c *this.
*/
Derived& setShift(const RealScalar& offset)
{
m_shiftOffset[0] = double(offset);
return derived();
}
/** \returns the determinant of the underlying matrix from the current factorization */
Scalar determinant() const
{
using std::exp;
return exp(logDeterminant());
}
/** \returns the log determinant of the underlying matrix from the current factorization */
Scalar logDeterminant() const
{
using std::log;
using numext::real;
eigen_assert(m_factorizationIsOk && "The decomposition is not in a valid state for solving, you must first call either compute() or symbolic()/numeric()");
RealScalar logDet = 0;
Scalar *x = static_cast<Scalar*>(m_cholmodFactor->x);
if (m_cholmodFactor->is_super)
{
// Supernodal factorization stored as a packed list of dense column-major blocs,
// as described by the following structure:
// super[k] == index of the first column of the j-th super node
StorageIndex *super = static_cast<StorageIndex*>(m_cholmodFactor->super);
// pi[k] == offset to the description of row indices
StorageIndex *pi = static_cast<StorageIndex*>(m_cholmodFactor->pi);
// px[k] == offset to the respective dense block
StorageIndex *px = static_cast<StorageIndex*>(m_cholmodFactor->px);
Index nb_super_nodes = m_cholmodFactor->nsuper;
for (Index k=0; k < nb_super_nodes; ++k)
{
StorageIndex ncols = super[k + 1] - super[k];
StorageIndex nrows = pi[k + 1] - pi[k];
Map<const Array<Scalar,1,Dynamic>, 0, InnerStride<> > sk(x + px[k], ncols, InnerStride<>(nrows+1));
logDet += sk.real().log().sum();
}
}
else
{
// Simplicial factorization stored as standard CSC matrix.
StorageIndex *p = static_cast<StorageIndex*>(m_cholmodFactor->p);
Index size = m_cholmodFactor->n;
for (Index k=0; k<size; ++k)
logDet += log(real( x[p[k]] ));
}
if (m_cholmodFactor->is_ll)
logDet *= 2.0;
return logDet;
};
template<typename Stream>
void dumpMemory(Stream& /*s*/)
{}
protected:
mutable cholmod_common m_cholmod;
cholmod_factor* m_cholmodFactor;
double m_shiftOffset[2];
mutable ComputationInfo m_info;
int m_factorizationIsOk;
int m_analysisIsOk;
};
/** \ingroup CholmodSupport_Module
* \class CholmodSimplicialLLT
* \brief A simplicial direct Cholesky (LLT) factorization and solver based on Cholmod
*
* This class allows to solve for A.X = B sparse linear problems via a simplicial LL^T Cholesky factorization
* using the Cholmod library.
* This simplicial variant is equivalent to Eigen's built-in SimplicialLLT class. Therefore, it has little practical interest.
* The sparse matrix A must be selfadjoint and positive definite. The vectors or matrices
* X and B can be either dense or sparse.
*
* \tparam _MatrixType the type of the sparse matrix A, it must be a SparseMatrix<>
* \tparam _UpLo the triangular part that will be used for the computations. It can be Lower
* or Upper. Default is Lower.
*
* \implsparsesolverconcept
*
* This class supports all kind of SparseMatrix<>: row or column major; upper, lower, or both; compressed or non compressed.
*
* \warning Only double precision real and complex scalar types are supported by Cholmod.
*
* \sa \ref TutorialSparseSolverConcept, class CholmodSupernodalLLT, class SimplicialLLT
*/
template<typename _MatrixType, int _UpLo = Lower>
class CholmodSimplicialLLT : public CholmodBase<_MatrixType, _UpLo, CholmodSimplicialLLT<_MatrixType, _UpLo> >
{
typedef CholmodBase<_MatrixType, _UpLo, CholmodSimplicialLLT> Base;
using Base::m_cholmod;
public:
typedef _MatrixType MatrixType;
CholmodSimplicialLLT() : Base() { init(); }
CholmodSimplicialLLT(const MatrixType& matrix) : Base()
{
init();
this->compute(matrix);
}
~CholmodSimplicialLLT() {}
protected:
void init()
{
m_cholmod.final_asis = 0;
m_cholmod.supernodal = CHOLMOD_SIMPLICIAL;
m_cholmod.final_ll = 1;
}
};
/** \ingroup CholmodSupport_Module
* \class CholmodSimplicialLDLT
* \brief A simplicial direct Cholesky (LDLT) factorization and solver based on Cholmod
*
* This class allows to solve for A.X = B sparse linear problems via a simplicial LDL^T Cholesky factorization
* using the Cholmod library.
* This simplicial variant is equivalent to Eigen's built-in SimplicialLDLT class. Therefore, it has little practical interest.
* The sparse matrix A must be selfadjoint and positive definite. The vectors or matrices
* X and B can be either dense or sparse.
*
* \tparam _MatrixType the type of the sparse matrix A, it must be a SparseMatrix<>
* \tparam _UpLo the triangular part that will be used for the computations. It can be Lower
* or Upper. Default is Lower.
*
* \implsparsesolverconcept
*
* This class supports all kind of SparseMatrix<>: row or column major; upper, lower, or both; compressed or non compressed.
*
* \warning Only double precision real and complex scalar types are supported by Cholmod.
*
* \sa \ref TutorialSparseSolverConcept, class CholmodSupernodalLLT, class SimplicialLDLT
*/
template<typename _MatrixType, int _UpLo = Lower>
class CholmodSimplicialLDLT : public CholmodBase<_MatrixType, _UpLo, CholmodSimplicialLDLT<_MatrixType, _UpLo> >
{
typedef CholmodBase<_MatrixType, _UpLo, CholmodSimplicialLDLT> Base;
using Base::m_cholmod;
public:
typedef _MatrixType MatrixType;
CholmodSimplicialLDLT() : Base() { init(); }
CholmodSimplicialLDLT(const MatrixType& matrix) : Base()
{
init();
this->compute(matrix);
}
~CholmodSimplicialLDLT() {}
protected:
void init()
{
m_cholmod.final_asis = 1;
m_cholmod.supernodal = CHOLMOD_SIMPLICIAL;
}
};
/** \ingroup CholmodSupport_Module
* \class CholmodSupernodalLLT
* \brief A supernodal Cholesky (LLT) factorization and solver based on Cholmod
*
* This class allows to solve for A.X = B sparse linear problems via a supernodal LL^T Cholesky factorization
* using the Cholmod library.
* This supernodal variant performs best on dense enough problems, e.g., 3D FEM, or very high order 2D FEM.
* The sparse matrix A must be selfadjoint and positive definite. The vectors or matrices
* X and B can be either dense or sparse.
*
* \tparam _MatrixType the type of the sparse matrix A, it must be a SparseMatrix<>
* \tparam _UpLo the triangular part that will be used for the computations. It can be Lower
* or Upper. Default is Lower.
*
* \implsparsesolverconcept
*
* This class supports all kind of SparseMatrix<>: row or column major; upper, lower, or both; compressed or non compressed.
*
* \warning Only double precision real and complex scalar types are supported by Cholmod.
*
* \sa \ref TutorialSparseSolverConcept
*/
template<typename _MatrixType, int _UpLo = Lower>
class CholmodSupernodalLLT : public CholmodBase<_MatrixType, _UpLo, CholmodSupernodalLLT<_MatrixType, _UpLo> >
{
typedef CholmodBase<_MatrixType, _UpLo, CholmodSupernodalLLT> Base;
using Base::m_cholmod;
public:
typedef _MatrixType MatrixType;
CholmodSupernodalLLT() : Base() { init(); }
CholmodSupernodalLLT(const MatrixType& matrix) : Base()
{
init();
this->compute(matrix);
}
~CholmodSupernodalLLT() {}
protected:
void init()
{
m_cholmod.final_asis = 1;
m_cholmod.supernodal = CHOLMOD_SUPERNODAL;
}
};
/** \ingroup CholmodSupport_Module
* \class CholmodDecomposition
* \brief A general Cholesky factorization and solver based on Cholmod
*
* This class allows to solve for A.X = B sparse linear problems via a LL^T or LDL^T Cholesky factorization
* using the Cholmod library. The sparse matrix A must be selfadjoint and positive definite. The vectors or matrices
* X and B can be either dense or sparse.
*
* This variant permits to change the underlying Cholesky method at runtime.
* On the other hand, it does not provide access to the result of the factorization.
* The default is to let Cholmod automatically choose between a simplicial and supernodal factorization.
*
* \tparam _MatrixType the type of the sparse matrix A, it must be a SparseMatrix<>
* \tparam _UpLo the triangular part that will be used for the computations. It can be Lower
* or Upper. Default is Lower.
*
* \implsparsesolverconcept
*
* This class supports all kind of SparseMatrix<>: row or column major; upper, lower, or both; compressed or non compressed.
*
* \warning Only double precision real and complex scalar types are supported by Cholmod.
*
* \sa \ref TutorialSparseSolverConcept
*/
template<typename _MatrixType, int _UpLo = Lower>
class CholmodDecomposition : public CholmodBase<_MatrixType, _UpLo, CholmodDecomposition<_MatrixType, _UpLo> >
{
typedef CholmodBase<_MatrixType, _UpLo, CholmodDecomposition> Base;
using Base::m_cholmod;
public:
typedef _MatrixType MatrixType;
CholmodDecomposition() : Base() { init(); }
CholmodDecomposition(const MatrixType& matrix) : Base()
{
init();
this->compute(matrix);
}
~CholmodDecomposition() {}
void setMode(CholmodMode mode)
{
switch(mode)
{
case CholmodAuto:
m_cholmod.final_asis = 1;
m_cholmod.supernodal = CHOLMOD_AUTO;
break;
case CholmodSimplicialLLt:
m_cholmod.final_asis = 0;
m_cholmod.supernodal = CHOLMOD_SIMPLICIAL;
m_cholmod.final_ll = 1;
break;
case CholmodSupernodalLLt:
m_cholmod.final_asis = 1;
m_cholmod.supernodal = CHOLMOD_SUPERNODAL;
break;
case CholmodLDLt:
m_cholmod.final_asis = 1;
m_cholmod.supernodal = CHOLMOD_SIMPLICIAL;
break;
default:
break;
}
}
protected:
void init()
{
m_cholmod.final_asis = 1;
m_cholmod.supernodal = CHOLMOD_AUTO;
}
};
} // end namespace Eigen
#endif // EIGEN_CHOLMODSUPPORT_H

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// This file is part of Eigen, a lightweight C++ template library
// for linear algebra.
//
// Copyright (C) 2017 Gael Guennebaud <gael.guennebaud@inria.fr>
//
// This Source Code Form is subject to the terms of the Mozilla
// Public License v. 2.0. If a copy of the MPL was not distributed
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
#ifndef EIGEN_ARITHMETIC_SEQUENCE_H
#define EIGEN_ARITHMETIC_SEQUENCE_H
namespace Eigen {
namespace internal {
#if (!EIGEN_HAS_CXX11) || !((!EIGEN_COMP_GNUC) || EIGEN_COMP_GNUC>=48)
template<typename T> struct aseq_negate {};
template<> struct aseq_negate<Index> {
typedef Index type;
};
template<int N> struct aseq_negate<FixedInt<N> > {
typedef FixedInt<-N> type;
};
// Compilation error in the following case:
template<> struct aseq_negate<FixedInt<DynamicIndex> > {};
template<typename FirstType,typename SizeType,typename IncrType,
bool FirstIsSymbolic=symbolic::is_symbolic<FirstType>::value,
bool SizeIsSymbolic =symbolic::is_symbolic<SizeType>::value>
struct aseq_reverse_first_type {
typedef Index type;
};
template<typename FirstType,typename SizeType,typename IncrType>
struct aseq_reverse_first_type<FirstType,SizeType,IncrType,true,true> {
typedef symbolic::AddExpr<FirstType,
symbolic::ProductExpr<symbolic::AddExpr<SizeType,symbolic::ValueExpr<FixedInt<-1> > >,
symbolic::ValueExpr<IncrType> >
> type;
};
template<typename SizeType,typename IncrType,typename EnableIf = void>
struct aseq_reverse_first_type_aux {
typedef Index type;
};
template<typename SizeType,typename IncrType>
struct aseq_reverse_first_type_aux<SizeType,IncrType,typename internal::enable_if<bool((SizeType::value+IncrType::value)|0x1)>::type> {
typedef FixedInt<(SizeType::value-1)*IncrType::value> type;
};
template<typename FirstType,typename SizeType,typename IncrType>
struct aseq_reverse_first_type<FirstType,SizeType,IncrType,true,false> {
typedef typename aseq_reverse_first_type_aux<SizeType,IncrType>::type Aux;
typedef symbolic::AddExpr<FirstType,symbolic::ValueExpr<Aux> > type;
};
template<typename FirstType,typename SizeType,typename IncrType>
struct aseq_reverse_first_type<FirstType,SizeType,IncrType,false,true> {
typedef symbolic::AddExpr<symbolic::ProductExpr<symbolic::AddExpr<SizeType,symbolic::ValueExpr<FixedInt<-1> > >,
symbolic::ValueExpr<IncrType> >,
symbolic::ValueExpr<> > type;
};
#endif
// Helper to cleanup the type of the increment:
template<typename T> struct cleanup_seq_incr {
typedef typename cleanup_index_type<T,DynamicIndex>::type type;
};
}
//--------------------------------------------------------------------------------
// seq(first,last,incr) and seqN(first,size,incr)
//--------------------------------------------------------------------------------
template<typename FirstType=Index,typename SizeType=Index,typename IncrType=internal::FixedInt<1> >
class ArithmeticSequence;
template<typename FirstType,typename SizeType,typename IncrType>
ArithmeticSequence<typename internal::cleanup_index_type<FirstType>::type,
typename internal::cleanup_index_type<SizeType>::type,
typename internal::cleanup_seq_incr<IncrType>::type >
seqN(FirstType first, SizeType size, IncrType incr);
/** \class ArithmeticSequence
* \ingroup Core_Module
*
* This class represents an arithmetic progression \f$ a_0, a_1, a_2, ..., a_{n-1}\f$ defined by
* its \em first value \f$ a_0 \f$, its \em size (aka length) \em n, and the \em increment (aka stride)
* that is equal to \f$ a_{i+1}-a_{i}\f$ for any \em i.
*
* It is internally used as the return type of the Eigen::seq and Eigen::seqN functions, and as the input arguments
* of DenseBase::operator()(const RowIndices&, const ColIndices&), and most of the time this is the
* only way it is used.
*
* \tparam FirstType type of the first element, usually an Index,
* but internally it can be a symbolic expression
* \tparam SizeType type representing the size of the sequence, usually an Index
* or a compile time integral constant. Internally, it can also be a symbolic expression
* \tparam IncrType type of the increment, can be a runtime Index, or a compile time integral constant (default is compile-time 1)
*
* \sa Eigen::seq, Eigen::seqN, DenseBase::operator()(const RowIndices&, const ColIndices&), class IndexedView
*/
template<typename FirstType,typename SizeType,typename IncrType>
class ArithmeticSequence
{
public:
ArithmeticSequence(FirstType first, SizeType size) : m_first(first), m_size(size) {}
ArithmeticSequence(FirstType first, SizeType size, IncrType incr) : m_first(first), m_size(size), m_incr(incr) {}
enum {
SizeAtCompileTime = internal::get_fixed_value<SizeType>::value,
IncrAtCompileTime = internal::get_fixed_value<IncrType,DynamicIndex>::value
};
/** \returns the size, i.e., number of elements, of the sequence */
Index size() const { return m_size; }
/** \returns the first element \f$ a_0 \f$ in the sequence */
Index first() const { return m_first; }
/** \returns the value \f$ a_i \f$ at index \a i in the sequence. */
Index operator[](Index i) const { return m_first + i * m_incr; }
const FirstType& firstObject() const { return m_first; }
const SizeType& sizeObject() const { return m_size; }
const IncrType& incrObject() const { return m_incr; }
protected:
FirstType m_first;
SizeType m_size;
IncrType m_incr;
public:
#if EIGEN_HAS_CXX11 && ((!EIGEN_COMP_GNUC) || EIGEN_COMP_GNUC>=48)
auto reverse() const -> decltype(Eigen::seqN(m_first+(m_size+fix<-1>())*m_incr,m_size,-m_incr)) {
return seqN(m_first+(m_size+fix<-1>())*m_incr,m_size,-m_incr);
}
#else
protected:
typedef typename internal::aseq_negate<IncrType>::type ReverseIncrType;
typedef typename internal::aseq_reverse_first_type<FirstType,SizeType,IncrType>::type ReverseFirstType;
public:
ArithmeticSequence<ReverseFirstType,SizeType,ReverseIncrType>
reverse() const {
return seqN(m_first+(m_size+fix<-1>())*m_incr,m_size,-m_incr);
}
#endif
};
/** \returns an ArithmeticSequence starting at \a first, of length \a size, and increment \a incr
*
* \sa seqN(FirstType,SizeType), seq(FirstType,LastType,IncrType) */
template<typename FirstType,typename SizeType,typename IncrType>
ArithmeticSequence<typename internal::cleanup_index_type<FirstType>::type,typename internal::cleanup_index_type<SizeType>::type,typename internal::cleanup_seq_incr<IncrType>::type >
seqN(FirstType first, SizeType size, IncrType incr) {
return ArithmeticSequence<typename internal::cleanup_index_type<FirstType>::type,typename internal::cleanup_index_type<SizeType>::type,typename internal::cleanup_seq_incr<IncrType>::type>(first,size,incr);
}
/** \returns an ArithmeticSequence starting at \a first, of length \a size, and unit increment
*
* \sa seqN(FirstType,SizeType,IncrType), seq(FirstType,LastType) */
template<typename FirstType,typename SizeType>
ArithmeticSequence<typename internal::cleanup_index_type<FirstType>::type,typename internal::cleanup_index_type<SizeType>::type >
seqN(FirstType first, SizeType size) {
return ArithmeticSequence<typename internal::cleanup_index_type<FirstType>::type,typename internal::cleanup_index_type<SizeType>::type>(first,size);
}
#ifdef EIGEN_PARSED_BY_DOXYGEN
/** \returns an ArithmeticSequence starting at \a f, up (or down) to \a l, and with positive (or negative) increment \a incr
*
* It is essentially an alias to:
* \code
* seqN(f, (l-f+incr)/incr, incr);
* \endcode
*
* \sa seqN(FirstType,SizeType,IncrType), seq(FirstType,LastType)
*/
template<typename FirstType,typename LastType, typename IncrType>
auto seq(FirstType f, LastType l, IncrType incr);
/** \returns an ArithmeticSequence starting at \a f, up (or down) to \a l, and unit increment
*
* It is essentially an alias to:
* \code
* seqN(f,l-f+1);
* \endcode
*
* \sa seqN(FirstType,SizeType), seq(FirstType,LastType,IncrType)
*/
template<typename FirstType,typename LastType>
auto seq(FirstType f, LastType l);
#else // EIGEN_PARSED_BY_DOXYGEN
#if EIGEN_HAS_CXX11
template<typename FirstType,typename LastType>
auto seq(FirstType f, LastType l) -> decltype(seqN(typename internal::cleanup_index_type<FirstType>::type(f),
( typename internal::cleanup_index_type<LastType>::type(l)
- typename internal::cleanup_index_type<FirstType>::type(f)+fix<1>())))
{
return seqN(typename internal::cleanup_index_type<FirstType>::type(f),
(typename internal::cleanup_index_type<LastType>::type(l)
-typename internal::cleanup_index_type<FirstType>::type(f)+fix<1>()));
}
template<typename FirstType,typename LastType, typename IncrType>
auto seq(FirstType f, LastType l, IncrType incr)
-> decltype(seqN(typename internal::cleanup_index_type<FirstType>::type(f),
( typename internal::cleanup_index_type<LastType>::type(l)
- typename internal::cleanup_index_type<FirstType>::type(f)+typename internal::cleanup_seq_incr<IncrType>::type(incr)
) / typename internal::cleanup_seq_incr<IncrType>::type(incr),
typename internal::cleanup_seq_incr<IncrType>::type(incr)))
{
typedef typename internal::cleanup_seq_incr<IncrType>::type CleanedIncrType;
return seqN(typename internal::cleanup_index_type<FirstType>::type(f),
( typename internal::cleanup_index_type<LastType>::type(l)
-typename internal::cleanup_index_type<FirstType>::type(f)+CleanedIncrType(incr)) / CleanedIncrType(incr),
CleanedIncrType(incr));
}
#else // EIGEN_HAS_CXX11
template<typename FirstType,typename LastType>
typename internal::enable_if<!(symbolic::is_symbolic<FirstType>::value || symbolic::is_symbolic<LastType>::value),
ArithmeticSequence<typename internal::cleanup_index_type<FirstType>::type,Index> >::type
seq(FirstType f, LastType l)
{
return seqN(typename internal::cleanup_index_type<FirstType>::type(f),
Index((typename internal::cleanup_index_type<LastType>::type(l)-typename internal::cleanup_index_type<FirstType>::type(f)+fix<1>())));
}
template<typename FirstTypeDerived,typename LastType>
typename internal::enable_if<!symbolic::is_symbolic<LastType>::value,
ArithmeticSequence<FirstTypeDerived, symbolic::AddExpr<symbolic::AddExpr<symbolic::NegateExpr<FirstTypeDerived>,symbolic::ValueExpr<> >,
symbolic::ValueExpr<internal::FixedInt<1> > > > >::type
seq(const symbolic::BaseExpr<FirstTypeDerived> &f, LastType l)
{
return seqN(f.derived(),(typename internal::cleanup_index_type<LastType>::type(l)-f.derived()+fix<1>()));
}
template<typename FirstType,typename LastTypeDerived>
typename internal::enable_if<!symbolic::is_symbolic<FirstType>::value,
ArithmeticSequence<typename internal::cleanup_index_type<FirstType>::type,
symbolic::AddExpr<symbolic::AddExpr<LastTypeDerived,symbolic::ValueExpr<> >,
symbolic::ValueExpr<internal::FixedInt<1> > > > >::type
seq(FirstType f, const symbolic::BaseExpr<LastTypeDerived> &l)
{
return seqN(typename internal::cleanup_index_type<FirstType>::type(f),(l.derived()-typename internal::cleanup_index_type<FirstType>::type(f)+fix<1>()));
}
template<typename FirstTypeDerived,typename LastTypeDerived>
ArithmeticSequence<FirstTypeDerived,
symbolic::AddExpr<symbolic::AddExpr<LastTypeDerived,symbolic::NegateExpr<FirstTypeDerived> >,symbolic::ValueExpr<internal::FixedInt<1> > > >
seq(const symbolic::BaseExpr<FirstTypeDerived> &f, const symbolic::BaseExpr<LastTypeDerived> &l)
{
return seqN(f.derived(),(l.derived()-f.derived()+fix<1>()));
}
template<typename FirstType,typename LastType, typename IncrType>
typename internal::enable_if<!(symbolic::is_symbolic<FirstType>::value || symbolic::is_symbolic<LastType>::value),
ArithmeticSequence<typename internal::cleanup_index_type<FirstType>::type,Index,typename internal::cleanup_seq_incr<IncrType>::type> >::type
seq(FirstType f, LastType l, IncrType incr)
{
typedef typename internal::cleanup_seq_incr<IncrType>::type CleanedIncrType;
return seqN(typename internal::cleanup_index_type<FirstType>::type(f),
Index((typename internal::cleanup_index_type<LastType>::type(l)-typename internal::cleanup_index_type<FirstType>::type(f)+CleanedIncrType(incr))/CleanedIncrType(incr)), incr);
}
template<typename FirstTypeDerived,typename LastType, typename IncrType>
typename internal::enable_if<!symbolic::is_symbolic<LastType>::value,
ArithmeticSequence<FirstTypeDerived,
symbolic::QuotientExpr<symbolic::AddExpr<symbolic::AddExpr<symbolic::NegateExpr<FirstTypeDerived>,
symbolic::ValueExpr<> >,
symbolic::ValueExpr<typename internal::cleanup_seq_incr<IncrType>::type> >,
symbolic::ValueExpr<typename internal::cleanup_seq_incr<IncrType>::type> >,
typename internal::cleanup_seq_incr<IncrType>::type> >::type
seq(const symbolic::BaseExpr<FirstTypeDerived> &f, LastType l, IncrType incr)
{
typedef typename internal::cleanup_seq_incr<IncrType>::type CleanedIncrType;
return seqN(f.derived(),(typename internal::cleanup_index_type<LastType>::type(l)-f.derived()+CleanedIncrType(incr))/CleanedIncrType(incr), incr);
}
template<typename FirstType,typename LastTypeDerived, typename IncrType>
typename internal::enable_if<!symbolic::is_symbolic<FirstType>::value,
ArithmeticSequence<typename internal::cleanup_index_type<FirstType>::type,
symbolic::QuotientExpr<symbolic::AddExpr<symbolic::AddExpr<LastTypeDerived,symbolic::ValueExpr<> >,
symbolic::ValueExpr<typename internal::cleanup_seq_incr<IncrType>::type> >,
symbolic::ValueExpr<typename internal::cleanup_seq_incr<IncrType>::type> >,
typename internal::cleanup_seq_incr<IncrType>::type> >::type
seq(FirstType f, const symbolic::BaseExpr<LastTypeDerived> &l, IncrType incr)
{
typedef typename internal::cleanup_seq_incr<IncrType>::type CleanedIncrType;
return seqN(typename internal::cleanup_index_type<FirstType>::type(f),
(l.derived()-typename internal::cleanup_index_type<FirstType>::type(f)+CleanedIncrType(incr))/CleanedIncrType(incr), incr);
}
template<typename FirstTypeDerived,typename LastTypeDerived, typename IncrType>
ArithmeticSequence<FirstTypeDerived,
symbolic::QuotientExpr<symbolic::AddExpr<symbolic::AddExpr<LastTypeDerived,
symbolic::NegateExpr<FirstTypeDerived> >,
symbolic::ValueExpr<typename internal::cleanup_seq_incr<IncrType>::type> >,
symbolic::ValueExpr<typename internal::cleanup_seq_incr<IncrType>::type> >,
typename internal::cleanup_seq_incr<IncrType>::type>
seq(const symbolic::BaseExpr<FirstTypeDerived> &f, const symbolic::BaseExpr<LastTypeDerived> &l, IncrType incr)
{
typedef typename internal::cleanup_seq_incr<IncrType>::type CleanedIncrType;
return seqN(f.derived(),(l.derived()-f.derived()+CleanedIncrType(incr))/CleanedIncrType(incr), incr);
}
#endif // EIGEN_HAS_CXX11
#endif // EIGEN_PARSED_BY_DOXYGEN
#if EIGEN_HAS_CXX11 || defined(EIGEN_PARSED_BY_DOXYGEN)
/** \cpp11
* \returns a symbolic ArithmeticSequence representing the last \a size elements with increment \a incr.
*
* It is a shortcut for: \code seqN(last-(size-fix<1>)*incr, size, incr) \endcode
*
* \sa lastN(SizeType), seqN(FirstType,SizeType), seq(FirstType,LastType,IncrType) */
template<typename SizeType,typename IncrType>
auto lastN(SizeType size, IncrType incr)
-> decltype(seqN(Eigen::last-(size-fix<1>())*incr, size, incr))
{
return seqN(Eigen::last-(size-fix<1>())*incr, size, incr);
}
/** \cpp11
* \returns a symbolic ArithmeticSequence representing the last \a size elements with a unit increment.
*
* It is a shortcut for: \code seq(last+fix<1>-size, last) \endcode
*
* \sa lastN(SizeType,IncrType, seqN(FirstType,SizeType), seq(FirstType,LastType) */
template<typename SizeType>
auto lastN(SizeType size)
-> decltype(seqN(Eigen::last+fix<1>()-size, size))
{
return seqN(Eigen::last+fix<1>()-size, size);
}
#endif
namespace internal {
// Convert a symbolic span into a usable one (i.e., remove last/end "keywords")
template<typename T>
struct make_size_type {
typedef typename internal::conditional<symbolic::is_symbolic<T>::value, Index, T>::type type;
};
template<typename FirstType,typename SizeType,typename IncrType,int XprSize>
struct IndexedViewCompatibleType<ArithmeticSequence<FirstType,SizeType,IncrType>, XprSize> {
typedef ArithmeticSequence<Index,typename make_size_type<SizeType>::type,IncrType> type;
};
template<typename FirstType,typename SizeType,typename IncrType>
ArithmeticSequence<Index,typename make_size_type<SizeType>::type,IncrType>
makeIndexedViewCompatible(const ArithmeticSequence<FirstType,SizeType,IncrType>& ids, Index size,SpecializedType) {
return ArithmeticSequence<Index,typename make_size_type<SizeType>::type,IncrType>(
eval_expr_given_size(ids.firstObject(),size),eval_expr_given_size(ids.sizeObject(),size),ids.incrObject());
}
template<typename FirstType,typename SizeType,typename IncrType>
struct get_compile_time_incr<ArithmeticSequence<FirstType,SizeType,IncrType> > {
enum { value = get_fixed_value<IncrType,DynamicIndex>::value };
};
} // end namespace internal
/** \namespace Eigen::indexing
* \ingroup Core_Module
*
* The sole purpose of this namespace is to be able to import all functions
* and symbols that are expected to be used within operator() for indexing
* and slicing. If you already imported the whole Eigen namespace:
* \code using namespace Eigen; \endcode
* then you are already all set. Otherwise, if you don't want/cannot import
* the whole Eigen namespace, the following line:
* \code using namespace Eigen::indexing; \endcode
* is equivalent to:
* \code
using Eigen::all;
using Eigen::seq;
using Eigen::seqN;
using Eigen::lastN; // c++11 only
using Eigen::last;
using Eigen::lastp1;
using Eigen::fix;
\endcode
*/
namespace indexing {
using Eigen::all;
using Eigen::seq;
using Eigen::seqN;
#if EIGEN_HAS_CXX11
using Eigen::lastN;
#endif
using Eigen::last;
using Eigen::lastp1;
using Eigen::fix;
}
} // end namespace Eigen
#endif // EIGEN_ARITHMETIC_SEQUENCE_H

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// This file is part of Eigen, a lightweight C++ template library
// for linear algebra.
//
// Copyright (C) 2009 Gael Guennebaud <gael.guennebaud@inria.fr>
//
// This Source Code Form is subject to the terms of the Mozilla
// Public License v. 2.0. If a copy of the MPL was not distributed
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
#ifndef EIGEN_ARRAY_H
#define EIGEN_ARRAY_H
namespace Eigen {
namespace internal {
template<typename _Scalar, int _Rows, int _Cols, int _Options, int _MaxRows, int _MaxCols>
struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
{
typedef ArrayXpr XprKind;
typedef ArrayBase<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > XprBase;
};
}
/** \class Array
* \ingroup Core_Module
*
* \brief General-purpose arrays with easy API for coefficient-wise operations
*
* The %Array class is very similar to the Matrix class. It provides
* general-purpose one- and two-dimensional arrays. The difference between the
* %Array and the %Matrix class is primarily in the API: the API for the
* %Array class provides easy access to coefficient-wise operations, while the
* API for the %Matrix class provides easy access to linear-algebra
* operations.
*
* See documentation of class Matrix for detailed information on the template parameters
* storage layout.
*
* This class can be extended with the help of the plugin mechanism described on the page
* \ref TopicCustomizing_Plugins by defining the preprocessor symbol \c EIGEN_ARRAY_PLUGIN.
*
* \sa \blank \ref TutorialArrayClass, \ref TopicClassHierarchy
*/
template<typename _Scalar, int _Rows, int _Cols, int _Options, int _MaxRows, int _MaxCols>
class Array
: public PlainObjectBase<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
{
public:
typedef PlainObjectBase<Array> Base;
EIGEN_DENSE_PUBLIC_INTERFACE(Array)
enum { Options = _Options };
typedef typename Base::PlainObject PlainObject;
protected:
template <typename Derived, typename OtherDerived, bool IsVector>
friend struct internal::conservative_resize_like_impl;
using Base::m_storage;
public:
using Base::base;
using Base::coeff;
using Base::coeffRef;
/**
* The usage of
* using Base::operator=;
* fails on MSVC. Since the code below is working with GCC and MSVC, we skipped
* the usage of 'using'. This should be done only for operator=.
*/
template<typename OtherDerived>
EIGEN_DEVICE_FUNC
EIGEN_STRONG_INLINE Array& operator=(const EigenBase<OtherDerived> &other)
{
return Base::operator=(other);
}
/** Set all the entries to \a value.
* \sa DenseBase::setConstant(), DenseBase::fill()
*/
/* This overload is needed because the usage of
* using Base::operator=;
* fails on MSVC. Since the code below is working with GCC and MSVC, we skipped
* the usage of 'using'. This should be done only for operator=.
*/
EIGEN_DEVICE_FUNC
EIGEN_STRONG_INLINE Array& operator=(const Scalar &value)
{
Base::setConstant(value);
return *this;
}
/** Copies the value of the expression \a other into \c *this with automatic resizing.
*
* *this might be resized to match the dimensions of \a other. If *this was a null matrix (not already initialized),
* it will be initialized.
*
* Note that copying a row-vector into a vector (and conversely) is allowed.
* The resizing, if any, is then done in the appropriate way so that row-vectors
* remain row-vectors and vectors remain vectors.
*/
template<typename OtherDerived>
EIGEN_DEVICE_FUNC
EIGEN_STRONG_INLINE Array& operator=(const DenseBase<OtherDerived>& other)
{
return Base::_set(other);
}
/** This is a special case of the templated operator=. Its purpose is to
* prevent a default operator= from hiding the templated operator=.
*/
EIGEN_DEVICE_FUNC
EIGEN_STRONG_INLINE Array& operator=(const Array& other)
{
return Base::_set(other);
}
/** Default constructor.
*
* For fixed-size matrices, does nothing.
*
* For dynamic-size matrices, creates an empty matrix of size 0. Does not allocate any array. Such a matrix
* is called a null matrix. This constructor is the unique way to create null matrices: resizing
* a matrix to 0 is not supported.
*
* \sa resize(Index,Index)
*/
EIGEN_DEVICE_FUNC
EIGEN_STRONG_INLINE Array() : Base()
{
Base::_check_template_params();
EIGEN_INITIALIZE_COEFFS_IF_THAT_OPTION_IS_ENABLED
}
#ifndef EIGEN_PARSED_BY_DOXYGEN
// FIXME is it still needed ??
/** \internal */
EIGEN_DEVICE_FUNC
Array(internal::constructor_without_unaligned_array_assert)
: Base(internal::constructor_without_unaligned_array_assert())
{
Base::_check_template_params();
EIGEN_INITIALIZE_COEFFS_IF_THAT_OPTION_IS_ENABLED
}
#endif
#if EIGEN_HAS_RVALUE_REFERENCES
EIGEN_DEVICE_FUNC
Array(Array&& other) EIGEN_NOEXCEPT_IF(std::is_nothrow_move_constructible<Scalar>::value)
: Base(std::move(other))
{
Base::_check_template_params();
}
EIGEN_DEVICE_FUNC
Array& operator=(Array&& other) EIGEN_NOEXCEPT_IF(std::is_nothrow_move_assignable<Scalar>::value)
{
Base::operator=(std::move(other));
return *this;
}
#endif
#if EIGEN_HAS_CXX11
/** \copydoc PlainObjectBase(const Scalar& a0, const Scalar& a1, const Scalar& a2, const Scalar& a3, const ArgTypes&... args)
*
* Example: \include Array_variadic_ctor_cxx11.cpp
* Output: \verbinclude Array_variadic_ctor_cxx11.out
*
* \sa Array(const std::initializer_list<std::initializer_list<Scalar>>&)
* \sa Array(const Scalar&), Array(const Scalar&,const Scalar&)
*/
template <typename... ArgTypes>
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
Array(const Scalar& a0, const Scalar& a1, const Scalar& a2, const Scalar& a3, const ArgTypes&... args)
: Base(a0, a1, a2, a3, args...) {}
/** \brief Constructs an array and initializes it from the coefficients given as initializer-lists grouped by row. \cpp11
*
* In the general case, the constructor takes a list of rows, each row being represented as a list of coefficients:
*
* Example: \include Array_initializer_list_23_cxx11.cpp
* Output: \verbinclude Array_initializer_list_23_cxx11.out
*
* Each of the inner initializer lists must contain the exact same number of elements, otherwise an assertion is triggered.
*
* In the case of a compile-time column 1D array, implicit transposition from a single row is allowed.
* Therefore <code> Array<int,Dynamic,1>{{1,2,3,4,5}}</code> is legal and the more verbose syntax
* <code>Array<int,Dynamic,1>{{1},{2},{3},{4},{5}}</code> can be avoided:
*
* Example: \include Array_initializer_list_vector_cxx11.cpp
* Output: \verbinclude Array_initializer_list_vector_cxx11.out
*
* In the case of fixed-sized arrays, the initializer list sizes must exactly match the array sizes,
* and implicit transposition is allowed for compile-time 1D arrays only.
*
* \sa Array(const Scalar& a0, const Scalar& a1, const Scalar& a2, const Scalar& a3, const ArgTypes&... args)
*/
EIGEN_DEVICE_FUNC
EIGEN_STRONG_INLINE Array(const std::initializer_list<std::initializer_list<Scalar>>& list) : Base(list) {}
#endif // end EIGEN_HAS_CXX11
#ifndef EIGEN_PARSED_BY_DOXYGEN
template<typename T>
EIGEN_DEVICE_FUNC
EIGEN_STRONG_INLINE explicit Array(const T& x)
{
Base::_check_template_params();
Base::template _init1<T>(x);
}
template<typename T0, typename T1>
EIGEN_DEVICE_FUNC
EIGEN_STRONG_INLINE Array(const T0& val0, const T1& val1)
{
Base::_check_template_params();
this->template _init2<T0,T1>(val0, val1);
}
#else
/** \brief Constructs a fixed-sized array initialized with coefficients starting at \a data */
EIGEN_DEVICE_FUNC explicit Array(const Scalar *data);
/** Constructs a vector or row-vector with given dimension. \only_for_vectors
*
* Note that this is only useful for dynamic-size vectors. For fixed-size vectors,
* it is redundant to pass the dimension here, so it makes more sense to use the default
* constructor Array() instead.
*/
EIGEN_DEVICE_FUNC
EIGEN_STRONG_INLINE explicit Array(Index dim);
/** constructs an initialized 1x1 Array with the given coefficient
* \sa const Scalar& a0, const Scalar& a1, const Scalar& a2, const Scalar& a3, const ArgTypes&... args */
Array(const Scalar& value);
/** constructs an uninitialized array with \a rows rows and \a cols columns.
*
* This is useful for dynamic-size arrays. For fixed-size arrays,
* it is redundant to pass these parameters, so one should use the default constructor
* Array() instead. */
Array(Index rows, Index cols);
/** constructs an initialized 2D vector with given coefficients
* \sa Array(const Scalar& a0, const Scalar& a1, const Scalar& a2, const Scalar& a3, const ArgTypes&... args) */
Array(const Scalar& val0, const Scalar& val1);
#endif // end EIGEN_PARSED_BY_DOXYGEN
/** constructs an initialized 3D vector with given coefficients
* \sa Array(const Scalar& a0, const Scalar& a1, const Scalar& a2, const Scalar& a3, const ArgTypes&... args)
*/
EIGEN_DEVICE_FUNC
EIGEN_STRONG_INLINE Array(const Scalar& val0, const Scalar& val1, const Scalar& val2)
{
Base::_check_template_params();
EIGEN_STATIC_ASSERT_VECTOR_SPECIFIC_SIZE(Array, 3)
m_storage.data()[0] = val0;
m_storage.data()[1] = val1;
m_storage.data()[2] = val2;
}
/** constructs an initialized 4D vector with given coefficients
* \sa Array(const Scalar& a0, const Scalar& a1, const Scalar& a2, const Scalar& a3, const ArgTypes&... args)
*/
EIGEN_DEVICE_FUNC
EIGEN_STRONG_INLINE Array(const Scalar& val0, const Scalar& val1, const Scalar& val2, const Scalar& val3)
{
Base::_check_template_params();
EIGEN_STATIC_ASSERT_VECTOR_SPECIFIC_SIZE(Array, 4)
m_storage.data()[0] = val0;
m_storage.data()[1] = val1;
m_storage.data()[2] = val2;
m_storage.data()[3] = val3;
}
/** Copy constructor */
EIGEN_DEVICE_FUNC
EIGEN_STRONG_INLINE Array(const Array& other)
: Base(other)
{ }
private:
struct PrivateType {};
public:
/** \sa MatrixBase::operator=(const EigenBase<OtherDerived>&) */
template<typename OtherDerived>
EIGEN_DEVICE_FUNC
EIGEN_STRONG_INLINE Array(const EigenBase<OtherDerived> &other,
typename internal::enable_if<internal::is_convertible<typename OtherDerived::Scalar,Scalar>::value,
PrivateType>::type = PrivateType())
: Base(other.derived())
{ }
EIGEN_DEVICE_FUNC EIGEN_CONSTEXPR
inline Index innerStride() const EIGEN_NOEXCEPT{ return 1; }
EIGEN_DEVICE_FUNC EIGEN_CONSTEXPR
inline Index outerStride() const EIGEN_NOEXCEPT { return this->innerSize(); }
#ifdef EIGEN_ARRAY_PLUGIN
#include EIGEN_ARRAY_PLUGIN
#endif
private:
template<typename MatrixType, typename OtherDerived, bool SwapPointers>
friend struct internal::matrix_swap_impl;
};
/** \defgroup arraytypedefs Global array typedefs
* \ingroup Core_Module
*
* %Eigen defines several typedef shortcuts for most common 1D and 2D array types.
*
* The general patterns are the following:
*
* \c ArrayRowsColsType where \c Rows and \c Cols can be \c 2,\c 3,\c 4 for fixed size square matrices or \c X for dynamic size,
* and where \c Type can be \c i for integer, \c f for float, \c d for double, \c cf for complex float, \c cd
* for complex double.
*
* For example, \c Array33d is a fixed-size 3x3 array type of doubles, and \c ArrayXXf is a dynamic-size matrix of floats.
*
* There are also \c ArraySizeType which are self-explanatory. For example, \c Array4cf is
* a fixed-size 1D array of 4 complex floats.
*
* With \cpp11, template alias are also defined for common sizes.
* They follow the same pattern as above except that the scalar type suffix is replaced by a
* template parameter, i.e.:
* - `ArrayRowsCols<Type>` where `Rows` and `Cols` can be \c 2,\c 3,\c 4, or \c X for fixed or dynamic size.
* - `ArraySize<Type>` where `Size` can be \c 2,\c 3,\c 4 or \c X for fixed or dynamic size 1D arrays.
*
* \sa class Array
*/
#define EIGEN_MAKE_ARRAY_TYPEDEFS(Type, TypeSuffix, Size, SizeSuffix) \
/** \ingroup arraytypedefs */ \
typedef Array<Type, Size, Size> Array##SizeSuffix##SizeSuffix##TypeSuffix; \
/** \ingroup arraytypedefs */ \
typedef Array<Type, Size, 1> Array##SizeSuffix##TypeSuffix;
#define EIGEN_MAKE_ARRAY_FIXED_TYPEDEFS(Type, TypeSuffix, Size) \
/** \ingroup arraytypedefs */ \
typedef Array<Type, Size, Dynamic> Array##Size##X##TypeSuffix; \
/** \ingroup arraytypedefs */ \
typedef Array<Type, Dynamic, Size> Array##X##Size##TypeSuffix;
#define EIGEN_MAKE_ARRAY_TYPEDEFS_ALL_SIZES(Type, TypeSuffix) \
EIGEN_MAKE_ARRAY_TYPEDEFS(Type, TypeSuffix, 2, 2) \
EIGEN_MAKE_ARRAY_TYPEDEFS(Type, TypeSuffix, 3, 3) \
EIGEN_MAKE_ARRAY_TYPEDEFS(Type, TypeSuffix, 4, 4) \
EIGEN_MAKE_ARRAY_TYPEDEFS(Type, TypeSuffix, Dynamic, X) \
EIGEN_MAKE_ARRAY_FIXED_TYPEDEFS(Type, TypeSuffix, 2) \
EIGEN_MAKE_ARRAY_FIXED_TYPEDEFS(Type, TypeSuffix, 3) \
EIGEN_MAKE_ARRAY_FIXED_TYPEDEFS(Type, TypeSuffix, 4)
EIGEN_MAKE_ARRAY_TYPEDEFS_ALL_SIZES(int, i)
EIGEN_MAKE_ARRAY_TYPEDEFS_ALL_SIZES(float, f)
EIGEN_MAKE_ARRAY_TYPEDEFS_ALL_SIZES(double, d)
EIGEN_MAKE_ARRAY_TYPEDEFS_ALL_SIZES(std::complex<float>, cf)
EIGEN_MAKE_ARRAY_TYPEDEFS_ALL_SIZES(std::complex<double>, cd)
#undef EIGEN_MAKE_ARRAY_TYPEDEFS_ALL_SIZES
#undef EIGEN_MAKE_ARRAY_TYPEDEFS
#undef EIGEN_MAKE_ARRAY_FIXED_TYPEDEFS
#if EIGEN_HAS_CXX11
#define EIGEN_MAKE_ARRAY_TYPEDEFS(Size, SizeSuffix) \
/** \ingroup arraytypedefs */ \
/** \brief \cpp11 */ \
template <typename Type> \
using Array##SizeSuffix##SizeSuffix = Array<Type, Size, Size>; \
/** \ingroup arraytypedefs */ \
/** \brief \cpp11 */ \
template <typename Type> \
using Array##SizeSuffix = Array<Type, Size, 1>;
#define EIGEN_MAKE_ARRAY_FIXED_TYPEDEFS(Size) \
/** \ingroup arraytypedefs */ \
/** \brief \cpp11 */ \
template <typename Type> \
using Array##Size##X = Array<Type, Size, Dynamic>; \
/** \ingroup arraytypedefs */ \
/** \brief \cpp11 */ \
template <typename Type> \
using Array##X##Size = Array<Type, Dynamic, Size>;
EIGEN_MAKE_ARRAY_TYPEDEFS(2, 2)
EIGEN_MAKE_ARRAY_TYPEDEFS(3, 3)
EIGEN_MAKE_ARRAY_TYPEDEFS(4, 4)
EIGEN_MAKE_ARRAY_TYPEDEFS(Dynamic, X)
EIGEN_MAKE_ARRAY_FIXED_TYPEDEFS(2)
EIGEN_MAKE_ARRAY_FIXED_TYPEDEFS(3)
EIGEN_MAKE_ARRAY_FIXED_TYPEDEFS(4)
#undef EIGEN_MAKE_ARRAY_TYPEDEFS
#undef EIGEN_MAKE_ARRAY_FIXED_TYPEDEFS
#endif // EIGEN_HAS_CXX11
#define EIGEN_USING_ARRAY_TYPEDEFS_FOR_TYPE_AND_SIZE(TypeSuffix, SizeSuffix) \
using Eigen::Matrix##SizeSuffix##TypeSuffix; \
using Eigen::Vector##SizeSuffix##TypeSuffix; \
using Eigen::RowVector##SizeSuffix##TypeSuffix;
#define EIGEN_USING_ARRAY_TYPEDEFS_FOR_TYPE(TypeSuffix) \
EIGEN_USING_ARRAY_TYPEDEFS_FOR_TYPE_AND_SIZE(TypeSuffix, 2) \
EIGEN_USING_ARRAY_TYPEDEFS_FOR_TYPE_AND_SIZE(TypeSuffix, 3) \
EIGEN_USING_ARRAY_TYPEDEFS_FOR_TYPE_AND_SIZE(TypeSuffix, 4) \
EIGEN_USING_ARRAY_TYPEDEFS_FOR_TYPE_AND_SIZE(TypeSuffix, X) \
#define EIGEN_USING_ARRAY_TYPEDEFS \
EIGEN_USING_ARRAY_TYPEDEFS_FOR_TYPE(i) \
EIGEN_USING_ARRAY_TYPEDEFS_FOR_TYPE(f) \
EIGEN_USING_ARRAY_TYPEDEFS_FOR_TYPE(d) \
EIGEN_USING_ARRAY_TYPEDEFS_FOR_TYPE(cf) \
EIGEN_USING_ARRAY_TYPEDEFS_FOR_TYPE(cd)
} // end namespace Eigen
#endif // EIGEN_ARRAY_H

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// This file is part of Eigen, a lightweight C++ template library
// for linear algebra.
//
// Copyright (C) 2009 Gael Guennebaud <gael.guennebaud@inria.fr>
//
// This Source Code Form is subject to the terms of the Mozilla
// Public License v. 2.0. If a copy of the MPL was not distributed
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
#ifndef EIGEN_ARRAYBASE_H
#define EIGEN_ARRAYBASE_H
namespace Eigen {
template<typename ExpressionType> class MatrixWrapper;
/** \class ArrayBase
* \ingroup Core_Module
*
* \brief Base class for all 1D and 2D array, and related expressions
*
* An array is similar to a dense vector or matrix. While matrices are mathematical
* objects with well defined linear algebra operators, an array is just a collection
* of scalar values arranged in a one or two dimensionnal fashion. As the main consequence,
* all operations applied to an array are performed coefficient wise. Furthermore,
* arrays support scalar math functions of the c++ standard library (e.g., std::sin(x)), and convenient
* constructors allowing to easily write generic code working for both scalar values
* and arrays.
*
* This class is the base that is inherited by all array expression types.
*
* \tparam Derived is the derived type, e.g., an array or an expression type.
*
* This class can be extended with the help of the plugin mechanism described on the page
* \ref TopicCustomizing_Plugins by defining the preprocessor symbol \c EIGEN_ARRAYBASE_PLUGIN.
*
* \sa class MatrixBase, \ref TopicClassHierarchy
*/
template<typename Derived> class ArrayBase
: public DenseBase<Derived>
{
public:
#ifndef EIGEN_PARSED_BY_DOXYGEN
/** The base class for a given storage type. */
typedef ArrayBase StorageBaseType;
typedef ArrayBase Eigen_BaseClassForSpecializationOfGlobalMathFuncImpl;
typedef typename internal::traits<Derived>::StorageKind StorageKind;
typedef typename internal::traits<Derived>::Scalar Scalar;
typedef typename internal::packet_traits<Scalar>::type PacketScalar;
typedef typename NumTraits<Scalar>::Real RealScalar;
typedef DenseBase<Derived> Base;
using Base::RowsAtCompileTime;
using Base::ColsAtCompileTime;
using Base::SizeAtCompileTime;
using Base::MaxRowsAtCompileTime;
using Base::MaxColsAtCompileTime;
using Base::MaxSizeAtCompileTime;
using Base::IsVectorAtCompileTime;
using Base::Flags;
using Base::derived;
using Base::const_cast_derived;
using Base::rows;
using Base::cols;
using Base::size;
using Base::coeff;
using Base::coeffRef;
using Base::lazyAssign;
using Base::operator-;
using Base::operator=;
using Base::operator+=;
using Base::operator-=;
using Base::operator*=;
using Base::operator/=;
typedef typename Base::CoeffReturnType CoeffReturnType;
#endif // not EIGEN_PARSED_BY_DOXYGEN
#ifndef EIGEN_PARSED_BY_DOXYGEN
typedef typename Base::PlainObject PlainObject;
/** \internal Represents a matrix with all coefficients equal to one another*/
typedef CwiseNullaryOp<internal::scalar_constant_op<Scalar>,PlainObject> ConstantReturnType;
#endif // not EIGEN_PARSED_BY_DOXYGEN
#define EIGEN_CURRENT_STORAGE_BASE_CLASS Eigen::ArrayBase
#define EIGEN_DOC_UNARY_ADDONS(X,Y)
# include "../plugins/MatrixCwiseUnaryOps.h"
# include "../plugins/ArrayCwiseUnaryOps.h"
# include "../plugins/CommonCwiseBinaryOps.h"
# include "../plugins/MatrixCwiseBinaryOps.h"
# include "../plugins/ArrayCwiseBinaryOps.h"
# ifdef EIGEN_ARRAYBASE_PLUGIN
# include EIGEN_ARRAYBASE_PLUGIN
# endif
#undef EIGEN_CURRENT_STORAGE_BASE_CLASS
#undef EIGEN_DOC_UNARY_ADDONS
/** Special case of the template operator=, in order to prevent the compiler
* from generating a default operator= (issue hit with g++ 4.1)
*/
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
Derived& operator=(const ArrayBase& other)
{
internal::call_assignment(derived(), other.derived());
return derived();
}
/** Set all the entries to \a value.
* \sa DenseBase::setConstant(), DenseBase::fill() */
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
Derived& operator=(const Scalar &value)
{ Base::setConstant(value); return derived(); }
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
Derived& operator+=(const Scalar& scalar);
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
Derived& operator-=(const Scalar& scalar);
template<typename OtherDerived>
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
Derived& operator+=(const ArrayBase<OtherDerived>& other);
template<typename OtherDerived>
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
Derived& operator-=(const ArrayBase<OtherDerived>& other);
template<typename OtherDerived>
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
Derived& operator*=(const ArrayBase<OtherDerived>& other);
template<typename OtherDerived>
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
Derived& operator/=(const ArrayBase<OtherDerived>& other);
public:
EIGEN_DEVICE_FUNC
ArrayBase<Derived>& array() { return *this; }
EIGEN_DEVICE_FUNC
const ArrayBase<Derived>& array() const { return *this; }
/** \returns an \link Eigen::MatrixBase Matrix \endlink expression of this array
* \sa MatrixBase::array() */
EIGEN_DEVICE_FUNC
MatrixWrapper<Derived> matrix() { return MatrixWrapper<Derived>(derived()); }
EIGEN_DEVICE_FUNC
const MatrixWrapper<const Derived> matrix() const { return MatrixWrapper<const Derived>(derived()); }
// template<typename Dest>
// inline void evalTo(Dest& dst) const { dst = matrix(); }
protected:
EIGEN_DEFAULT_COPY_CONSTRUCTOR(ArrayBase)
EIGEN_DEFAULT_EMPTY_CONSTRUCTOR_AND_DESTRUCTOR(ArrayBase)
private:
explicit ArrayBase(Index);
ArrayBase(Index,Index);
template<typename OtherDerived> explicit ArrayBase(const ArrayBase<OtherDerived>&);
protected:
// mixing arrays and matrices is not legal
template<typename OtherDerived> Derived& operator+=(const MatrixBase<OtherDerived>& )
{EIGEN_STATIC_ASSERT(std::ptrdiff_t(sizeof(typename OtherDerived::Scalar))==-1,YOU_CANNOT_MIX_ARRAYS_AND_MATRICES); return *this;}
// mixing arrays and matrices is not legal
template<typename OtherDerived> Derived& operator-=(const MatrixBase<OtherDerived>& )
{EIGEN_STATIC_ASSERT(std::ptrdiff_t(sizeof(typename OtherDerived::Scalar))==-1,YOU_CANNOT_MIX_ARRAYS_AND_MATRICES); return *this;}
};
/** replaces \c *this by \c *this - \a other.
*
* \returns a reference to \c *this
*/
template<typename Derived>
template<typename OtherDerived>
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Derived &
ArrayBase<Derived>::operator-=(const ArrayBase<OtherDerived> &other)
{
call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
return derived();
}
/** replaces \c *this by \c *this + \a other.
*
* \returns a reference to \c *this
*/
template<typename Derived>
template<typename OtherDerived>
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Derived &
ArrayBase<Derived>::operator+=(const ArrayBase<OtherDerived>& other)
{
call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
return derived();
}
/** replaces \c *this by \c *this * \a other coefficient wise.
*
* \returns a reference to \c *this
*/
template<typename Derived>
template<typename OtherDerived>
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Derived &
ArrayBase<Derived>::operator*=(const ArrayBase<OtherDerived>& other)
{
call_assignment(derived(), other.derived(), internal::mul_assign_op<Scalar,typename OtherDerived::Scalar>());
return derived();
}
/** replaces \c *this by \c *this / \a other coefficient wise.
*
* \returns a reference to \c *this
*/
template<typename Derived>
template<typename OtherDerived>
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Derived &
ArrayBase<Derived>::operator/=(const ArrayBase<OtherDerived>& other)
{
call_assignment(derived(), other.derived(), internal::div_assign_op<Scalar,typename OtherDerived::Scalar>());
return derived();
}
} // end namespace Eigen
#endif // EIGEN_ARRAYBASE_H

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// This file is part of Eigen, a lightweight C++ template library
// for linear algebra.
//
// Copyright (C) 2009-2010 Gael Guennebaud <gael.guennebaud@inria.fr>
//
// This Source Code Form is subject to the terms of the Mozilla
// Public License v. 2.0. If a copy of the MPL was not distributed
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
#ifndef EIGEN_ARRAYWRAPPER_H
#define EIGEN_ARRAYWRAPPER_H
namespace Eigen {
/** \class ArrayWrapper
* \ingroup Core_Module
*
* \brief Expression of a mathematical vector or matrix as an array object
*
* This class is the return type of MatrixBase::array(), and most of the time
* this is the only way it is use.
*
* \sa MatrixBase::array(), class MatrixWrapper
*/
namespace internal {
template<typename ExpressionType>
struct traits<ArrayWrapper<ExpressionType> >
: public traits<typename remove_all<typename ExpressionType::Nested>::type >
{
typedef ArrayXpr XprKind;
// Let's remove NestByRefBit
enum {
Flags0 = traits<typename remove_all<typename ExpressionType::Nested>::type >::Flags,
LvalueBitFlag = is_lvalue<ExpressionType>::value ? LvalueBit : 0,
Flags = (Flags0 & ~(NestByRefBit | LvalueBit)) | LvalueBitFlag
};
};
}
template<typename ExpressionType>
class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
{
public:
typedef ArrayBase<ArrayWrapper> Base;
EIGEN_DENSE_PUBLIC_INTERFACE(ArrayWrapper)
EIGEN_INHERIT_ASSIGNMENT_OPERATORS(ArrayWrapper)
typedef typename internal::remove_all<ExpressionType>::type NestedExpression;
typedef typename internal::conditional<
internal::is_lvalue<ExpressionType>::value,
Scalar,
const Scalar
>::type ScalarWithConstIfNotLvalue;
typedef typename internal::ref_selector<ExpressionType>::non_const_type NestedExpressionType;
using Base::coeffRef;
EIGEN_DEVICE_FUNC
explicit EIGEN_STRONG_INLINE ArrayWrapper(ExpressionType& matrix) : m_expression(matrix) {}
EIGEN_DEVICE_FUNC EIGEN_CONSTEXPR
inline Index rows() const EIGEN_NOEXCEPT { return m_expression.rows(); }
EIGEN_DEVICE_FUNC EIGEN_CONSTEXPR
inline Index cols() const EIGEN_NOEXCEPT { return m_expression.cols(); }
EIGEN_DEVICE_FUNC EIGEN_CONSTEXPR
inline Index outerStride() const EIGEN_NOEXCEPT { return m_expression.outerStride(); }
EIGEN_DEVICE_FUNC EIGEN_CONSTEXPR
inline Index innerStride() const EIGEN_NOEXCEPT { return m_expression.innerStride(); }
EIGEN_DEVICE_FUNC
inline ScalarWithConstIfNotLvalue* data() { return m_expression.data(); }
EIGEN_DEVICE_FUNC
inline const Scalar* data() const { return m_expression.data(); }
EIGEN_DEVICE_FUNC
inline const Scalar& coeffRef(Index rowId, Index colId) const
{
return m_expression.coeffRef(rowId, colId);
}
EIGEN_DEVICE_FUNC
inline const Scalar& coeffRef(Index index) const
{
return m_expression.coeffRef(index);
}
template<typename Dest>
EIGEN_DEVICE_FUNC
inline void evalTo(Dest& dst) const { dst = m_expression; }
EIGEN_DEVICE_FUNC
const typename internal::remove_all<NestedExpressionType>::type&
nestedExpression() const
{
return m_expression;
}
/** Forwards the resizing request to the nested expression
* \sa DenseBase::resize(Index) */
EIGEN_DEVICE_FUNC
void resize(Index newSize) { m_expression.resize(newSize); }
/** Forwards the resizing request to the nested expression
* \sa DenseBase::resize(Index,Index)*/
EIGEN_DEVICE_FUNC
void resize(Index rows, Index cols) { m_expression.resize(rows,cols); }
protected:
NestedExpressionType m_expression;
};
/** \class MatrixWrapper
* \ingroup Core_Module
*
* \brief Expression of an array as a mathematical vector or matrix
*
* This class is the return type of ArrayBase::matrix(), and most of the time
* this is the only way it is use.
*
* \sa MatrixBase::matrix(), class ArrayWrapper
*/
namespace internal {
template<typename ExpressionType>
struct traits<MatrixWrapper<ExpressionType> >
: public traits<typename remove_all<typename ExpressionType::Nested>::type >
{
typedef MatrixXpr XprKind;
// Let's remove NestByRefBit
enum {
Flags0 = traits<typename remove_all<typename ExpressionType::Nested>::type >::Flags,
LvalueBitFlag = is_lvalue<ExpressionType>::value ? LvalueBit : 0,
Flags = (Flags0 & ~(NestByRefBit | LvalueBit)) | LvalueBitFlag
};
};
}
template<typename ExpressionType>
class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
{
public:
typedef MatrixBase<MatrixWrapper<ExpressionType> > Base;
EIGEN_DENSE_PUBLIC_INTERFACE(MatrixWrapper)
EIGEN_INHERIT_ASSIGNMENT_OPERATORS(MatrixWrapper)
typedef typename internal::remove_all<ExpressionType>::type NestedExpression;
typedef typename internal::conditional<
internal::is_lvalue<ExpressionType>::value,
Scalar,
const Scalar
>::type ScalarWithConstIfNotLvalue;
typedef typename internal::ref_selector<ExpressionType>::non_const_type NestedExpressionType;
using Base::coeffRef;
EIGEN_DEVICE_FUNC
explicit inline MatrixWrapper(ExpressionType& matrix) : m_expression(matrix) {}
EIGEN_DEVICE_FUNC EIGEN_CONSTEXPR
inline Index rows() const EIGEN_NOEXCEPT { return m_expression.rows(); }
EIGEN_DEVICE_FUNC EIGEN_CONSTEXPR
inline Index cols() const EIGEN_NOEXCEPT { return m_expression.cols(); }
EIGEN_DEVICE_FUNC EIGEN_CONSTEXPR
inline Index outerStride() const EIGEN_NOEXCEPT { return m_expression.outerStride(); }
EIGEN_DEVICE_FUNC EIGEN_CONSTEXPR
inline Index innerStride() const EIGEN_NOEXCEPT { return m_expression.innerStride(); }
EIGEN_DEVICE_FUNC
inline ScalarWithConstIfNotLvalue* data() { return m_expression.data(); }
EIGEN_DEVICE_FUNC
inline const Scalar* data() const { return m_expression.data(); }
EIGEN_DEVICE_FUNC
inline const Scalar& coeffRef(Index rowId, Index colId) const
{
return m_expression.derived().coeffRef(rowId, colId);
}
EIGEN_DEVICE_FUNC
inline const Scalar& coeffRef(Index index) const
{
return m_expression.coeffRef(index);
}
EIGEN_DEVICE_FUNC
const typename internal::remove_all<NestedExpressionType>::type&
nestedExpression() const
{
return m_expression;
}
/** Forwards the resizing request to the nested expression
* \sa DenseBase::resize(Index) */
EIGEN_DEVICE_FUNC
void resize(Index newSize) { m_expression.resize(newSize); }
/** Forwards the resizing request to the nested expression
* \sa DenseBase::resize(Index,Index)*/
EIGEN_DEVICE_FUNC
void resize(Index rows, Index cols) { m_expression.resize(rows,cols); }
protected:
NestedExpressionType m_expression;
};
} // end namespace Eigen
#endif // EIGEN_ARRAYWRAPPER_H

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// This file is part of Eigen, a lightweight C++ template library
// for linear algebra.
//
// Copyright (C) 2007 Michael Olbrich <michael.olbrich@gmx.net>
// Copyright (C) 2006-2010 Benoit Jacob <jacob.benoit.1@gmail.com>
// Copyright (C) 2008 Gael Guennebaud <gael.guennebaud@inria.fr>
//
// This Source Code Form is subject to the terms of the Mozilla
// Public License v. 2.0. If a copy of the MPL was not distributed
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
#ifndef EIGEN_ASSIGN_H
#define EIGEN_ASSIGN_H
namespace Eigen {
template<typename Derived>
template<typename OtherDerived>
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Derived& DenseBase<Derived>
::lazyAssign(const DenseBase<OtherDerived>& other)
{
enum{
SameType = internal::is_same<typename Derived::Scalar,typename OtherDerived::Scalar>::value
};
EIGEN_STATIC_ASSERT_LVALUE(Derived)
EIGEN_STATIC_ASSERT_SAME_MATRIX_SIZE(Derived,OtherDerived)
EIGEN_STATIC_ASSERT(SameType,YOU_MIXED_DIFFERENT_NUMERIC_TYPES__YOU_NEED_TO_USE_THE_CAST_METHOD_OF_MATRIXBASE_TO_CAST_NUMERIC_TYPES_EXPLICITLY)
eigen_assert(rows() == other.rows() && cols() == other.cols());
internal::call_assignment_no_alias(derived(),other.derived());
return derived();
}
template<typename Derived>
template<typename OtherDerived>
EIGEN_DEVICE_FUNC
EIGEN_STRONG_INLINE Derived& DenseBase<Derived>::operator=(const DenseBase<OtherDerived>& other)
{
internal::call_assignment(derived(), other.derived());
return derived();
}
template<typename Derived>
EIGEN_DEVICE_FUNC
EIGEN_STRONG_INLINE Derived& DenseBase<Derived>::operator=(const DenseBase& other)
{
internal::call_assignment(derived(), other.derived());
return derived();
}
template<typename Derived>
EIGEN_DEVICE_FUNC
EIGEN_STRONG_INLINE Derived& MatrixBase<Derived>::operator=(const MatrixBase& other)
{
internal::call_assignment(derived(), other.derived());
return derived();
}
template<typename Derived>
template <typename OtherDerived>
EIGEN_DEVICE_FUNC
EIGEN_STRONG_INLINE Derived& MatrixBase<Derived>::operator=(const DenseBase<OtherDerived>& other)
{
internal::call_assignment(derived(), other.derived());
return derived();
}
template<typename Derived>
template <typename OtherDerived>
EIGEN_DEVICE_FUNC
EIGEN_STRONG_INLINE Derived& MatrixBase<Derived>::operator=(const EigenBase<OtherDerived>& other)
{
internal::call_assignment(derived(), other.derived());
return derived();
}
template<typename Derived>
template<typename OtherDerived>
EIGEN_DEVICE_FUNC
EIGEN_STRONG_INLINE Derived& MatrixBase<Derived>::operator=(const ReturnByValue<OtherDerived>& other)
{
other.derived().evalTo(derived());
return derived();
}
} // end namespace Eigen
#endif // EIGEN_ASSIGN_H

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/*
Copyright (c) 2011, Intel Corporation. All rights reserved.
Copyright (C) 2015 Gael Guennebaud <gael.guennebaud@inria.fr>
Redistribution and use in source and binary forms, with or without modification,
are permitted provided that the following conditions are met:
* Redistributions of source code must retain the above copyright notice, this
list of conditions and the following disclaimer.
* Redistributions in binary form must reproduce the above copyright notice,
this list of conditions and the following disclaimer in the documentation
and/or other materials provided with the distribution.
* Neither the name of Intel Corporation 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 OWNER 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.
********************************************************************************
* Content : Eigen bindings to Intel(R) MKL
* MKL VML support for coefficient-wise unary Eigen expressions like a=b.sin()
********************************************************************************
*/
#ifndef EIGEN_ASSIGN_VML_H
#define EIGEN_ASSIGN_VML_H
namespace Eigen {
namespace internal {
template<typename Dst, typename Src>
class vml_assign_traits
{
private:
enum {
DstHasDirectAccess = Dst::Flags & DirectAccessBit,
SrcHasDirectAccess = Src::Flags & DirectAccessBit,
StorageOrdersAgree = (int(Dst::IsRowMajor) == int(Src::IsRowMajor)),
InnerSize = int(Dst::IsVectorAtCompileTime) ? int(Dst::SizeAtCompileTime)
: int(Dst::Flags)&RowMajorBit ? int(Dst::ColsAtCompileTime)
: int(Dst::RowsAtCompileTime),
InnerMaxSize = int(Dst::IsVectorAtCompileTime) ? int(Dst::MaxSizeAtCompileTime)
: int(Dst::Flags)&RowMajorBit ? int(Dst::MaxColsAtCompileTime)
: int(Dst::MaxRowsAtCompileTime),
MaxSizeAtCompileTime = Dst::SizeAtCompileTime,
MightEnableVml = StorageOrdersAgree && DstHasDirectAccess && SrcHasDirectAccess && Src::InnerStrideAtCompileTime==1 && Dst::InnerStrideAtCompileTime==1,
MightLinearize = MightEnableVml && (int(Dst::Flags) & int(Src::Flags) & LinearAccessBit),
VmlSize = MightLinearize ? MaxSizeAtCompileTime : InnerMaxSize,
LargeEnough = VmlSize==Dynamic || VmlSize>=EIGEN_MKL_VML_THRESHOLD
};
public:
enum {
EnableVml = MightEnableVml && LargeEnough,
Traversal = MightLinearize ? LinearTraversal : DefaultTraversal
};
};
#define EIGEN_PP_EXPAND(ARG) ARG
#if !defined (EIGEN_FAST_MATH) || (EIGEN_FAST_MATH != 1)
#define EIGEN_VMLMODE_EXPAND_xLA , VML_HA
#else
#define EIGEN_VMLMODE_EXPAND_xLA , VML_LA
#endif
#define EIGEN_VMLMODE_EXPAND_x_
#define EIGEN_VMLMODE_PREFIX_xLA vm
#define EIGEN_VMLMODE_PREFIX_x_ v
#define EIGEN_VMLMODE_PREFIX(VMLMODE) EIGEN_CAT(EIGEN_VMLMODE_PREFIX_x,VMLMODE)
#define EIGEN_MKL_VML_DECLARE_UNARY_CALL(EIGENOP, VMLOP, EIGENTYPE, VMLTYPE, VMLMODE) \
template< typename DstXprType, typename SrcXprNested> \
struct Assignment<DstXprType, CwiseUnaryOp<scalar_##EIGENOP##_op<EIGENTYPE>, SrcXprNested>, assign_op<EIGENTYPE,EIGENTYPE>, \
Dense2Dense, typename enable_if<vml_assign_traits<DstXprType,SrcXprNested>::EnableVml>::type> { \
typedef CwiseUnaryOp<scalar_##EIGENOP##_op<EIGENTYPE>, SrcXprNested> SrcXprType; \
static void run(DstXprType &dst, const SrcXprType &src, const assign_op<EIGENTYPE,EIGENTYPE> &func) { \
resize_if_allowed(dst, src, func); \
eigen_assert(dst.rows() == src.rows() && dst.cols() == src.cols()); \
if(vml_assign_traits<DstXprType,SrcXprNested>::Traversal==LinearTraversal) { \
VMLOP(dst.size(), (const VMLTYPE*)src.nestedExpression().data(), \
(VMLTYPE*)dst.data() EIGEN_PP_EXPAND(EIGEN_VMLMODE_EXPAND_x##VMLMODE) ); \
} else { \
const Index outerSize = dst.outerSize(); \
for(Index outer = 0; outer < outerSize; ++outer) { \
const EIGENTYPE *src_ptr = src.IsRowMajor ? &(src.nestedExpression().coeffRef(outer,0)) : \
&(src.nestedExpression().coeffRef(0, outer)); \
EIGENTYPE *dst_ptr = dst.IsRowMajor ? &(dst.coeffRef(outer,0)) : &(dst.coeffRef(0, outer)); \
VMLOP( dst.innerSize(), (const VMLTYPE*)src_ptr, \
(VMLTYPE*)dst_ptr EIGEN_PP_EXPAND(EIGEN_VMLMODE_EXPAND_x##VMLMODE)); \
} \
} \
} \
}; \
#define EIGEN_MKL_VML_DECLARE_UNARY_CALLS_REAL(EIGENOP, VMLOP, VMLMODE) \
EIGEN_MKL_VML_DECLARE_UNARY_CALL(EIGENOP, EIGEN_CAT(EIGEN_VMLMODE_PREFIX(VMLMODE),s##VMLOP), float, float, VMLMODE) \
EIGEN_MKL_VML_DECLARE_UNARY_CALL(EIGENOP, EIGEN_CAT(EIGEN_VMLMODE_PREFIX(VMLMODE),d##VMLOP), double, double, VMLMODE)
#define EIGEN_MKL_VML_DECLARE_UNARY_CALLS_CPLX(EIGENOP, VMLOP, VMLMODE) \
EIGEN_MKL_VML_DECLARE_UNARY_CALL(EIGENOP, EIGEN_CAT(EIGEN_VMLMODE_PREFIX(VMLMODE),c##VMLOP), scomplex, MKL_Complex8, VMLMODE) \
EIGEN_MKL_VML_DECLARE_UNARY_CALL(EIGENOP, EIGEN_CAT(EIGEN_VMLMODE_PREFIX(VMLMODE),z##VMLOP), dcomplex, MKL_Complex16, VMLMODE)
#define EIGEN_MKL_VML_DECLARE_UNARY_CALLS(EIGENOP, VMLOP, VMLMODE) \
EIGEN_MKL_VML_DECLARE_UNARY_CALLS_REAL(EIGENOP, VMLOP, VMLMODE) \
EIGEN_MKL_VML_DECLARE_UNARY_CALLS_CPLX(EIGENOP, VMLOP, VMLMODE)
EIGEN_MKL_VML_DECLARE_UNARY_CALLS(sin, Sin, LA)
EIGEN_MKL_VML_DECLARE_UNARY_CALLS(asin, Asin, LA)
EIGEN_MKL_VML_DECLARE_UNARY_CALLS(sinh, Sinh, LA)
EIGEN_MKL_VML_DECLARE_UNARY_CALLS(cos, Cos, LA)
EIGEN_MKL_VML_DECLARE_UNARY_CALLS(acos, Acos, LA)
EIGEN_MKL_VML_DECLARE_UNARY_CALLS(cosh, Cosh, LA)
EIGEN_MKL_VML_DECLARE_UNARY_CALLS(tan, Tan, LA)
EIGEN_MKL_VML_DECLARE_UNARY_CALLS(atan, Atan, LA)
EIGEN_MKL_VML_DECLARE_UNARY_CALLS(tanh, Tanh, LA)
// EIGEN_MKL_VML_DECLARE_UNARY_CALLS(abs, Abs, _)
EIGEN_MKL_VML_DECLARE_UNARY_CALLS(exp, Exp, LA)
EIGEN_MKL_VML_DECLARE_UNARY_CALLS(log, Ln, LA)
EIGEN_MKL_VML_DECLARE_UNARY_CALLS(log10, Log10, LA)
EIGEN_MKL_VML_DECLARE_UNARY_CALLS(sqrt, Sqrt, _)
EIGEN_MKL_VML_DECLARE_UNARY_CALLS_REAL(square, Sqr, _)
EIGEN_MKL_VML_DECLARE_UNARY_CALLS_CPLX(arg, Arg, _)
EIGEN_MKL_VML_DECLARE_UNARY_CALLS_REAL(round, Round, _)
EIGEN_MKL_VML_DECLARE_UNARY_CALLS_REAL(floor, Floor, _)
EIGEN_MKL_VML_DECLARE_UNARY_CALLS_REAL(ceil, Ceil, _)
#define EIGEN_MKL_VML_DECLARE_POW_CALL(EIGENOP, VMLOP, EIGENTYPE, VMLTYPE, VMLMODE) \
template< typename DstXprType, typename SrcXprNested, typename Plain> \
struct Assignment<DstXprType, CwiseBinaryOp<scalar_##EIGENOP##_op<EIGENTYPE,EIGENTYPE>, SrcXprNested, \
const CwiseNullaryOp<internal::scalar_constant_op<EIGENTYPE>,Plain> >, assign_op<EIGENTYPE,EIGENTYPE>, \
Dense2Dense, typename enable_if<vml_assign_traits<DstXprType,SrcXprNested>::EnableVml>::type> { \
typedef CwiseBinaryOp<scalar_##EIGENOP##_op<EIGENTYPE,EIGENTYPE>, SrcXprNested, \
const CwiseNullaryOp<internal::scalar_constant_op<EIGENTYPE>,Plain> > SrcXprType; \
static void run(DstXprType &dst, const SrcXprType &src, const assign_op<EIGENTYPE,EIGENTYPE> &func) { \
resize_if_allowed(dst, src, func); \
eigen_assert(dst.rows() == src.rows() && dst.cols() == src.cols()); \
VMLTYPE exponent = reinterpret_cast<const VMLTYPE&>(src.rhs().functor().m_other); \
if(vml_assign_traits<DstXprType,SrcXprNested>::Traversal==LinearTraversal) \
{ \
VMLOP( dst.size(), (const VMLTYPE*)src.lhs().data(), exponent, \
(VMLTYPE*)dst.data() EIGEN_PP_EXPAND(EIGEN_VMLMODE_EXPAND_x##VMLMODE) ); \
} else { \
const Index outerSize = dst.outerSize(); \
for(Index outer = 0; outer < outerSize; ++outer) { \
const EIGENTYPE *src_ptr = src.IsRowMajor ? &(src.lhs().coeffRef(outer,0)) : \
&(src.lhs().coeffRef(0, outer)); \
EIGENTYPE *dst_ptr = dst.IsRowMajor ? &(dst.coeffRef(outer,0)) : &(dst.coeffRef(0, outer)); \
VMLOP( dst.innerSize(), (const VMLTYPE*)src_ptr, exponent, \
(VMLTYPE*)dst_ptr EIGEN_PP_EXPAND(EIGEN_VMLMODE_EXPAND_x##VMLMODE)); \
} \
} \
} \
};
EIGEN_MKL_VML_DECLARE_POW_CALL(pow, vmsPowx, float, float, LA)
EIGEN_MKL_VML_DECLARE_POW_CALL(pow, vmdPowx, double, double, LA)
EIGEN_MKL_VML_DECLARE_POW_CALL(pow, vmcPowx, scomplex, MKL_Complex8, LA)
EIGEN_MKL_VML_DECLARE_POW_CALL(pow, vmzPowx, dcomplex, MKL_Complex16, LA)
} // end namespace internal
} // end namespace Eigen
#endif // EIGEN_ASSIGN_VML_H

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// This file is part of Eigen, a lightweight C++ template library
// for linear algebra.
//
// Copyright (C) 2009 Gael Guennebaud <gael.guennebaud@inria.fr>
//
// This Source Code Form is subject to the terms of the Mozilla
// Public License v. 2.0. If a copy of the MPL was not distributed
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
#ifndef EIGEN_BANDMATRIX_H
#define EIGEN_BANDMATRIX_H
namespace Eigen {
namespace internal {
template<typename Derived>
class BandMatrixBase : public EigenBase<Derived>
{
public:
enum {
Flags = internal::traits<Derived>::Flags,
CoeffReadCost = internal::traits<Derived>::CoeffReadCost,
RowsAtCompileTime = internal::traits<Derived>::RowsAtCompileTime,
ColsAtCompileTime = internal::traits<Derived>::ColsAtCompileTime,
MaxRowsAtCompileTime = internal::traits<Derived>::MaxRowsAtCompileTime,
MaxColsAtCompileTime = internal::traits<Derived>::MaxColsAtCompileTime,
Supers = internal::traits<Derived>::Supers,
Subs = internal::traits<Derived>::Subs,
Options = internal::traits<Derived>::Options
};
typedef typename internal::traits<Derived>::Scalar Scalar;
typedef Matrix<Scalar,RowsAtCompileTime,ColsAtCompileTime> DenseMatrixType;
typedef typename DenseMatrixType::StorageIndex StorageIndex;
typedef typename internal::traits<Derived>::CoefficientsType CoefficientsType;
typedef EigenBase<Derived> Base;
protected:
enum {
DataRowsAtCompileTime = ((Supers!=Dynamic) && (Subs!=Dynamic))
? 1 + Supers + Subs
: Dynamic,
SizeAtCompileTime = EIGEN_SIZE_MIN_PREFER_DYNAMIC(RowsAtCompileTime,ColsAtCompileTime)
};
public:
using Base::derived;
using Base::rows;
using Base::cols;
/** \returns the number of super diagonals */
inline Index supers() const { return derived().supers(); }
/** \returns the number of sub diagonals */
inline Index subs() const { return derived().subs(); }
/** \returns an expression of the underlying coefficient matrix */
inline const CoefficientsType& coeffs() const { return derived().coeffs(); }
/** \returns an expression of the underlying coefficient matrix */
inline CoefficientsType& coeffs() { return derived().coeffs(); }
/** \returns a vector expression of the \a i -th column,
* only the meaningful part is returned.
* \warning the internal storage must be column major. */
inline Block<CoefficientsType,Dynamic,1> col(Index i)
{
EIGEN_STATIC_ASSERT((int(Options) & int(RowMajor)) == 0, THIS_METHOD_IS_ONLY_FOR_COLUMN_MAJOR_MATRICES);
Index start = 0;
Index len = coeffs().rows();
if (i<=supers())
{
start = supers()-i;
len = (std::min)(rows(),std::max<Index>(0,coeffs().rows() - (supers()-i)));
}
else if (i>=rows()-subs())
len = std::max<Index>(0,coeffs().rows() - (i + 1 - rows() + subs()));
return Block<CoefficientsType,Dynamic,1>(coeffs(), start, i, len, 1);
}
/** \returns a vector expression of the main diagonal */
inline Block<CoefficientsType,1,SizeAtCompileTime> diagonal()
{ return Block<CoefficientsType,1,SizeAtCompileTime>(coeffs(),supers(),0,1,(std::min)(rows(),cols())); }
/** \returns a vector expression of the main diagonal (const version) */
inline const Block<const CoefficientsType,1,SizeAtCompileTime> diagonal() const
{ return Block<const CoefficientsType,1,SizeAtCompileTime>(coeffs(),supers(),0,1,(std::min)(rows(),cols())); }
template<int Index> struct DiagonalIntReturnType {
enum {
ReturnOpposite = (int(Options) & int(SelfAdjoint)) && (((Index) > 0 && Supers == 0) || ((Index) < 0 && Subs == 0)),
Conjugate = ReturnOpposite && NumTraits<Scalar>::IsComplex,
ActualIndex = ReturnOpposite ? -Index : Index,
DiagonalSize = (RowsAtCompileTime==Dynamic || ColsAtCompileTime==Dynamic)
? Dynamic
: (ActualIndex<0
? EIGEN_SIZE_MIN_PREFER_DYNAMIC(ColsAtCompileTime, RowsAtCompileTime + ActualIndex)
: EIGEN_SIZE_MIN_PREFER_DYNAMIC(RowsAtCompileTime, ColsAtCompileTime - ActualIndex))
};
typedef Block<CoefficientsType,1, DiagonalSize> BuildType;
typedef typename internal::conditional<Conjugate,
CwiseUnaryOp<internal::scalar_conjugate_op<Scalar>,BuildType >,
BuildType>::type Type;
};
/** \returns a vector expression of the \a N -th sub or super diagonal */
template<int N> inline typename DiagonalIntReturnType<N>::Type diagonal()
{
return typename DiagonalIntReturnType<N>::BuildType(coeffs(), supers()-N, (std::max)(0,N), 1, diagonalLength(N));
}
/** \returns a vector expression of the \a N -th sub or super diagonal */
template<int N> inline const typename DiagonalIntReturnType<N>::Type diagonal() const
{
return typename DiagonalIntReturnType<N>::BuildType(coeffs(), supers()-N, (std::max)(0,N), 1, diagonalLength(N));
}
/** \returns a vector expression of the \a i -th sub or super diagonal */
inline Block<CoefficientsType,1,Dynamic> diagonal(Index i)
{
eigen_assert((i<0 && -i<=subs()) || (i>=0 && i<=supers()));
return Block<CoefficientsType,1,Dynamic>(coeffs(), supers()-i, std::max<Index>(0,i), 1, diagonalLength(i));
}
/** \returns a vector expression of the \a i -th sub or super diagonal */
inline const Block<const CoefficientsType,1,Dynamic> diagonal(Index i) const
{
eigen_assert((i<0 && -i<=subs()) || (i>=0 && i<=supers()));
return Block<const CoefficientsType,1,Dynamic>(coeffs(), supers()-i, std::max<Index>(0,i), 1, diagonalLength(i));
}
template<typename Dest> inline void evalTo(Dest& dst) const
{
dst.resize(rows(),cols());
dst.setZero();
dst.diagonal() = diagonal();
for (Index i=1; i<=supers();++i)
dst.diagonal(i) = diagonal(i);
for (Index i=1; i<=subs();++i)
dst.diagonal(-i) = diagonal(-i);
}
DenseMatrixType toDenseMatrix() const
{
DenseMatrixType res(rows(),cols());
evalTo(res);
return res;
}
protected:
inline Index diagonalLength(Index i) const
{ return i<0 ? (std::min)(cols(),rows()+i) : (std::min)(rows(),cols()-i); }
};
/**
* \class BandMatrix
* \ingroup Core_Module
*
* \brief Represents a rectangular matrix with a banded storage
*
* \tparam _Scalar Numeric type, i.e. float, double, int
* \tparam _Rows Number of rows, or \b Dynamic
* \tparam _Cols Number of columns, or \b Dynamic
* \tparam _Supers Number of super diagonal
* \tparam _Subs Number of sub diagonal
* \tparam _Options A combination of either \b #RowMajor or \b #ColMajor, and of \b #SelfAdjoint
* The former controls \ref TopicStorageOrders "storage order", and defaults to
* column-major. The latter controls whether the matrix represents a selfadjoint
* matrix in which case either Supers of Subs have to be null.
*
* \sa class TridiagonalMatrix
*/
template<typename _Scalar, int _Rows, int _Cols, int _Supers, int _Subs, int _Options>
struct traits<BandMatrix<_Scalar,_Rows,_Cols,_Supers,_Subs,_Options> >
{
typedef _Scalar Scalar;
typedef Dense StorageKind;
typedef Eigen::Index StorageIndex;
enum {
CoeffReadCost = NumTraits<Scalar>::ReadCost,
RowsAtCompileTime = _Rows,
ColsAtCompileTime = _Cols,
MaxRowsAtCompileTime = _Rows,
MaxColsAtCompileTime = _Cols,
Flags = LvalueBit,
Supers = _Supers,
Subs = _Subs,
Options = _Options,
DataRowsAtCompileTime = ((Supers!=Dynamic) && (Subs!=Dynamic)) ? 1 + Supers + Subs : Dynamic
};
typedef Matrix<Scalar, DataRowsAtCompileTime, ColsAtCompileTime, int(Options) & int(RowMajor) ? RowMajor : ColMajor> CoefficientsType;
};
template<typename _Scalar, int Rows, int Cols, int Supers, int Subs, int Options>
class BandMatrix : public BandMatrixBase<BandMatrix<_Scalar,Rows,Cols,Supers,Subs,Options> >
{
public:
typedef typename internal::traits<BandMatrix>::Scalar Scalar;
typedef typename internal::traits<BandMatrix>::StorageIndex StorageIndex;
typedef typename internal::traits<BandMatrix>::CoefficientsType CoefficientsType;
explicit inline BandMatrix(Index rows=Rows, Index cols=Cols, Index supers=Supers, Index subs=Subs)
: m_coeffs(1+supers+subs,cols),
m_rows(rows), m_supers(supers), m_subs(subs)
{
}
/** \returns the number of columns */
inline EIGEN_CONSTEXPR Index rows() const { return m_rows.value(); }
/** \returns the number of rows */
inline EIGEN_CONSTEXPR Index cols() const { return m_coeffs.cols(); }
/** \returns the number of super diagonals */
inline EIGEN_CONSTEXPR Index supers() const { return m_supers.value(); }
/** \returns the number of sub diagonals */
inline EIGEN_CONSTEXPR Index subs() const { return m_subs.value(); }
inline const CoefficientsType& coeffs() const { return m_coeffs; }
inline CoefficientsType& coeffs() { return m_coeffs; }
protected:
CoefficientsType m_coeffs;
internal::variable_if_dynamic<Index, Rows> m_rows;
internal::variable_if_dynamic<Index, Supers> m_supers;
internal::variable_if_dynamic<Index, Subs> m_subs;
};
template<typename _CoefficientsType,int _Rows, int _Cols, int _Supers, int _Subs,int _Options>
class BandMatrixWrapper;
template<typename _CoefficientsType,int _Rows, int _Cols, int _Supers, int _Subs,int _Options>
struct traits<BandMatrixWrapper<_CoefficientsType,_Rows,_Cols,_Supers,_Subs,_Options> >
{
typedef typename _CoefficientsType::Scalar Scalar;
typedef typename _CoefficientsType::StorageKind StorageKind;
typedef typename _CoefficientsType::StorageIndex StorageIndex;
enum {
CoeffReadCost = internal::traits<_CoefficientsType>::CoeffReadCost,
RowsAtCompileTime = _Rows,
ColsAtCompileTime = _Cols,
MaxRowsAtCompileTime = _Rows,
MaxColsAtCompileTime = _Cols,
Flags = LvalueBit,
Supers = _Supers,
Subs = _Subs,
Options = _Options,
DataRowsAtCompileTime = ((Supers!=Dynamic) && (Subs!=Dynamic)) ? 1 + Supers + Subs : Dynamic
};
typedef _CoefficientsType CoefficientsType;
};
template<typename _CoefficientsType,int _Rows, int _Cols, int _Supers, int _Subs,int _Options>
class BandMatrixWrapper : public BandMatrixBase<BandMatrixWrapper<_CoefficientsType,_Rows,_Cols,_Supers,_Subs,_Options> >
{
public:
typedef typename internal::traits<BandMatrixWrapper>::Scalar Scalar;
typedef typename internal::traits<BandMatrixWrapper>::CoefficientsType CoefficientsType;
typedef typename internal::traits<BandMatrixWrapper>::StorageIndex StorageIndex;
explicit inline BandMatrixWrapper(const CoefficientsType& coeffs, Index rows=_Rows, Index cols=_Cols, Index supers=_Supers, Index subs=_Subs)
: m_coeffs(coeffs),
m_rows(rows), m_supers(supers), m_subs(subs)
{
EIGEN_UNUSED_VARIABLE(cols);
//internal::assert(coeffs.cols()==cols() && (supers()+subs()+1)==coeffs.rows());
}
/** \returns the number of columns */
inline EIGEN_CONSTEXPR Index rows() const { return m_rows.value(); }
/** \returns the number of rows */
inline EIGEN_CONSTEXPR Index cols() const { return m_coeffs.cols(); }
/** \returns the number of super diagonals */
inline EIGEN_CONSTEXPR Index supers() const { return m_supers.value(); }
/** \returns the number of sub diagonals */
inline EIGEN_CONSTEXPR Index subs() const { return m_subs.value(); }
inline const CoefficientsType& coeffs() const { return m_coeffs; }
protected:
const CoefficientsType& m_coeffs;
internal::variable_if_dynamic<Index, _Rows> m_rows;
internal::variable_if_dynamic<Index, _Supers> m_supers;
internal::variable_if_dynamic<Index, _Subs> m_subs;
};
/**
* \class TridiagonalMatrix
* \ingroup Core_Module
*
* \brief Represents a tridiagonal matrix with a compact banded storage
*
* \tparam Scalar Numeric type, i.e. float, double, int
* \tparam Size Number of rows and cols, or \b Dynamic
* \tparam Options Can be 0 or \b SelfAdjoint
*
* \sa class BandMatrix
*/
template<typename Scalar, int Size, int Options>
class TridiagonalMatrix : public BandMatrix<Scalar,Size,Size,Options&SelfAdjoint?0:1,1,Options|RowMajor>
{
typedef BandMatrix<Scalar,Size,Size,Options&SelfAdjoint?0:1,1,Options|RowMajor> Base;
typedef typename Base::StorageIndex StorageIndex;
public:
explicit TridiagonalMatrix(Index size = Size) : Base(size,size,Options&SelfAdjoint?0:1,1) {}
inline typename Base::template DiagonalIntReturnType<1>::Type super()
{ return Base::template diagonal<1>(); }
inline const typename Base::template DiagonalIntReturnType<1>::Type super() const
{ return Base::template diagonal<1>(); }
inline typename Base::template DiagonalIntReturnType<-1>::Type sub()
{ return Base::template diagonal<-1>(); }
inline const typename Base::template DiagonalIntReturnType<-1>::Type sub() const
{ return Base::template diagonal<-1>(); }
protected:
};
struct BandShape {};
template<typename _Scalar, int _Rows, int _Cols, int _Supers, int _Subs, int _Options>
struct evaluator_traits<BandMatrix<_Scalar,_Rows,_Cols,_Supers,_Subs,_Options> >
: public evaluator_traits_base<BandMatrix<_Scalar,_Rows,_Cols,_Supers,_Subs,_Options> >
{
typedef BandShape Shape;
};
template<typename _CoefficientsType,int _Rows, int _Cols, int _Supers, int _Subs,int _Options>
struct evaluator_traits<BandMatrixWrapper<_CoefficientsType,_Rows,_Cols,_Supers,_Subs,_Options> >
: public evaluator_traits_base<BandMatrixWrapper<_CoefficientsType,_Rows,_Cols,_Supers,_Subs,_Options> >
{
typedef BandShape Shape;
};
template<> struct AssignmentKind<DenseShape,BandShape> { typedef EigenBase2EigenBase Kind; };
} // end namespace internal
} // end namespace Eigen
#endif // EIGEN_BANDMATRIX_H

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// This file is part of Eigen, a lightweight C++ template library
// for linear algebra.
//
// Copyright (C) 2008 Gael Guennebaud <gael.guennebaud@inria.fr>
// Copyright (C) 2006-2010 Benoit Jacob <jacob.benoit.1@gmail.com>
//
// This Source Code Form is subject to the terms of the Mozilla
// Public License v. 2.0. If a copy of the MPL was not distributed
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
#ifndef EIGEN_BLOCK_H
#define EIGEN_BLOCK_H
namespace Eigen {
namespace internal {
template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel>
struct traits<Block<XprType, BlockRows, BlockCols, InnerPanel> > : traits<XprType>
{
typedef typename traits<XprType>::Scalar Scalar;
typedef typename traits<XprType>::StorageKind StorageKind;
typedef typename traits<XprType>::XprKind XprKind;
typedef typename ref_selector<XprType>::type XprTypeNested;
typedef typename remove_reference<XprTypeNested>::type _XprTypeNested;
enum{
MatrixRows = traits<XprType>::RowsAtCompileTime,
MatrixCols = traits<XprType>::ColsAtCompileTime,
RowsAtCompileTime = MatrixRows == 0 ? 0 : BlockRows,
ColsAtCompileTime = MatrixCols == 0 ? 0 : BlockCols,
MaxRowsAtCompileTime = BlockRows==0 ? 0
: RowsAtCompileTime != Dynamic ? int(RowsAtCompileTime)
: int(traits<XprType>::MaxRowsAtCompileTime),
MaxColsAtCompileTime = BlockCols==0 ? 0
: ColsAtCompileTime != Dynamic ? int(ColsAtCompileTime)
: int(traits<XprType>::MaxColsAtCompileTime),
XprTypeIsRowMajor = (int(traits<XprType>::Flags)&RowMajorBit) != 0,
IsRowMajor = (MaxRowsAtCompileTime==1&&MaxColsAtCompileTime!=1) ? 1
: (MaxColsAtCompileTime==1&&MaxRowsAtCompileTime!=1) ? 0
: XprTypeIsRowMajor,
HasSameStorageOrderAsXprType = (IsRowMajor == XprTypeIsRowMajor),
InnerSize = IsRowMajor ? int(ColsAtCompileTime) : int(RowsAtCompileTime),
InnerStrideAtCompileTime = HasSameStorageOrderAsXprType
? int(inner_stride_at_compile_time<XprType>::ret)
: int(outer_stride_at_compile_time<XprType>::ret),
OuterStrideAtCompileTime = HasSameStorageOrderAsXprType
? int(outer_stride_at_compile_time<XprType>::ret)
: int(inner_stride_at_compile_time<XprType>::ret),
// FIXME, this traits is rather specialized for dense object and it needs to be cleaned further
FlagsLvalueBit = is_lvalue<XprType>::value ? LvalueBit : 0,
FlagsRowMajorBit = IsRowMajor ? RowMajorBit : 0,
Flags = (traits<XprType>::Flags & (DirectAccessBit | (InnerPanel?CompressedAccessBit:0))) | FlagsLvalueBit | FlagsRowMajorBit,
// FIXME DirectAccessBit should not be handled by expressions
//
// Alignment is needed by MapBase's assertions
// We can sefely set it to false here. Internal alignment errors will be detected by an eigen_internal_assert in the respective evaluator
Alignment = 0
};
};
template<typename XprType, int BlockRows=Dynamic, int BlockCols=Dynamic, bool InnerPanel = false,
bool HasDirectAccess = internal::has_direct_access<XprType>::ret> class BlockImpl_dense;
} // end namespace internal
template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, typename StorageKind> class BlockImpl;
/** \class Block
* \ingroup Core_Module
*
* \brief Expression of a fixed-size or dynamic-size block
*
* \tparam XprType the type of the expression in which we are taking a block
* \tparam BlockRows the number of rows of the block we are taking at compile time (optional)
* \tparam BlockCols the number of columns of the block we are taking at compile time (optional)
* \tparam InnerPanel is true, if the block maps to a set of rows of a row major matrix or
* to set of columns of a column major matrix (optional). The parameter allows to determine
* at compile time whether aligned access is possible on the block expression.
*
* This class represents an expression of either a fixed-size or dynamic-size block. It is the return
* type of DenseBase::block(Index,Index,Index,Index) and DenseBase::block<int,int>(Index,Index) and
* most of the time this is the only way it is used.
*
* However, if you want to directly maniputate block expressions,
* for instance if you want to write a function returning such an expression, you
* will need to use this class.
*
* Here is an example illustrating the dynamic case:
* \include class_Block.cpp
* Output: \verbinclude class_Block.out
*
* \note Even though this expression has dynamic size, in the case where \a XprType
* has fixed size, this expression inherits a fixed maximal size which means that evaluating
* it does not cause a dynamic memory allocation.
*
* Here is an example illustrating the fixed-size case:
* \include class_FixedBlock.cpp
* Output: \verbinclude class_FixedBlock.out
*
* \sa DenseBase::block(Index,Index,Index,Index), DenseBase::block(Index,Index), class VectorBlock
*/
template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
: public BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, typename internal::traits<XprType>::StorageKind>
{
typedef BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, typename internal::traits<XprType>::StorageKind> Impl;
public:
//typedef typename Impl::Base Base;
typedef Impl Base;
EIGEN_GENERIC_PUBLIC_INTERFACE(Block)
EIGEN_INHERIT_ASSIGNMENT_OPERATORS(Block)
typedef typename internal::remove_all<XprType>::type NestedExpression;
/** Column or Row constructor
*/
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
Block(XprType& xpr, Index i) : Impl(xpr,i)
{
eigen_assert( (i>=0) && (
((BlockRows==1) && (BlockCols==XprType::ColsAtCompileTime) && i<xpr.rows())
||((BlockRows==XprType::RowsAtCompileTime) && (BlockCols==1) && i<xpr.cols())));
}
/** Fixed-size constructor
*/
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
Block(XprType& xpr, Index startRow, Index startCol)
: Impl(xpr, startRow, startCol)
{
EIGEN_STATIC_ASSERT(RowsAtCompileTime!=Dynamic && ColsAtCompileTime!=Dynamic,THIS_METHOD_IS_ONLY_FOR_FIXED_SIZE)
eigen_assert(startRow >= 0 && BlockRows >= 0 && startRow + BlockRows <= xpr.rows()
&& startCol >= 0 && BlockCols >= 0 && startCol + BlockCols <= xpr.cols());
}
/** Dynamic-size constructor
*/
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
Block(XprType& xpr,
Index startRow, Index startCol,
Index blockRows, Index blockCols)
: Impl(xpr, startRow, startCol, blockRows, blockCols)
{
eigen_assert((RowsAtCompileTime==Dynamic || RowsAtCompileTime==blockRows)
&& (ColsAtCompileTime==Dynamic || ColsAtCompileTime==blockCols));
eigen_assert(startRow >= 0 && blockRows >= 0 && startRow <= xpr.rows() - blockRows
&& startCol >= 0 && blockCols >= 0 && startCol <= xpr.cols() - blockCols);
}
};
// The generic default implementation for dense block simplu forward to the internal::BlockImpl_dense
// that must be specialized for direct and non-direct access...
template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel>
class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
: public internal::BlockImpl_dense<XprType, BlockRows, BlockCols, InnerPanel>
{
typedef internal::BlockImpl_dense<XprType, BlockRows, BlockCols, InnerPanel> Impl;
typedef typename XprType::StorageIndex StorageIndex;
public:
typedef Impl Base;
EIGEN_INHERIT_ASSIGNMENT_OPERATORS(BlockImpl)
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE BlockImpl(XprType& xpr, Index i) : Impl(xpr,i) {}
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE BlockImpl(XprType& xpr, Index startRow, Index startCol) : Impl(xpr, startRow, startCol) {}
EIGEN_DEVICE_FUNC
EIGEN_STRONG_INLINE BlockImpl(XprType& xpr, Index startRow, Index startCol, Index blockRows, Index blockCols)
: Impl(xpr, startRow, startCol, blockRows, blockCols) {}
};
namespace internal {
/** \internal Internal implementation of dense Blocks in the general case. */
template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
: public internal::dense_xpr_base<Block<XprType, BlockRows, BlockCols, InnerPanel> >::type
{
typedef Block<XprType, BlockRows, BlockCols, InnerPanel> BlockType;
typedef typename internal::ref_selector<XprType>::non_const_type XprTypeNested;
public:
typedef typename internal::dense_xpr_base<BlockType>::type Base;
EIGEN_DENSE_PUBLIC_INTERFACE(BlockType)
EIGEN_INHERIT_ASSIGNMENT_OPERATORS(BlockImpl_dense)
// class InnerIterator; // FIXME apparently never used
/** Column or Row constructor
*/
EIGEN_DEVICE_FUNC
inline BlockImpl_dense(XprType& xpr, Index i)
: m_xpr(xpr),
// It is a row if and only if BlockRows==1 and BlockCols==XprType::ColsAtCompileTime,
// and it is a column if and only if BlockRows==XprType::RowsAtCompileTime and BlockCols==1,
// all other cases are invalid.
// The case a 1x1 matrix seems ambiguous, but the result is the same anyway.
m_startRow( (BlockRows==1) && (BlockCols==XprType::ColsAtCompileTime) ? i : 0),
m_startCol( (BlockRows==XprType::RowsAtCompileTime) && (BlockCols==1) ? i : 0),
m_blockRows(BlockRows==1 ? 1 : xpr.rows()),
m_blockCols(BlockCols==1 ? 1 : xpr.cols())
{}
/** Fixed-size constructor
*/
EIGEN_DEVICE_FUNC
inline BlockImpl_dense(XprType& xpr, Index startRow, Index startCol)
: m_xpr(xpr), m_startRow(startRow), m_startCol(startCol),
m_blockRows(BlockRows), m_blockCols(BlockCols)
{}
/** Dynamic-size constructor
*/
EIGEN_DEVICE_FUNC
inline BlockImpl_dense(XprType& xpr,
Index startRow, Index startCol,
Index blockRows, Index blockCols)
: m_xpr(xpr), m_startRow(startRow), m_startCol(startCol),
m_blockRows(blockRows), m_blockCols(blockCols)
{}
EIGEN_DEVICE_FUNC inline Index rows() const { return m_blockRows.value(); }
EIGEN_DEVICE_FUNC inline Index cols() const { return m_blockCols.value(); }
EIGEN_DEVICE_FUNC
inline Scalar& coeffRef(Index rowId, Index colId)
{
EIGEN_STATIC_ASSERT_LVALUE(XprType)
return m_xpr.coeffRef(rowId + m_startRow.value(), colId + m_startCol.value());
}
EIGEN_DEVICE_FUNC
inline const Scalar& coeffRef(Index rowId, Index colId) const
{
return m_xpr.derived().coeffRef(rowId + m_startRow.value(), colId + m_startCol.value());
}
EIGEN_DEVICE_FUNC
EIGEN_STRONG_INLINE const CoeffReturnType coeff(Index rowId, Index colId) const
{
return m_xpr.coeff(rowId + m_startRow.value(), colId + m_startCol.value());
}
EIGEN_DEVICE_FUNC
inline Scalar& coeffRef(Index index)
{
EIGEN_STATIC_ASSERT_LVALUE(XprType)
return m_xpr.coeffRef(m_startRow.value() + (RowsAtCompileTime == 1 ? 0 : index),
m_startCol.value() + (RowsAtCompileTime == 1 ? index : 0));
}
EIGEN_DEVICE_FUNC
inline const Scalar& coeffRef(Index index) const
{
return m_xpr.coeffRef(m_startRow.value() + (RowsAtCompileTime == 1 ? 0 : index),
m_startCol.value() + (RowsAtCompileTime == 1 ? index : 0));
}
EIGEN_DEVICE_FUNC
inline const CoeffReturnType coeff(Index index) const
{
return m_xpr.coeff(m_startRow.value() + (RowsAtCompileTime == 1 ? 0 : index),
m_startCol.value() + (RowsAtCompileTime == 1 ? index : 0));
}
template<int LoadMode>
inline PacketScalar packet(Index rowId, Index colId) const
{
return m_xpr.template packet<Unaligned>(rowId + m_startRow.value(), colId + m_startCol.value());
}
template<int LoadMode>
inline void writePacket(Index rowId, Index colId, const PacketScalar& val)
{
m_xpr.template writePacket<Unaligned>(rowId + m_startRow.value(), colId + m_startCol.value(), val);
}
template<int LoadMode>
inline PacketScalar packet(Index index) const
{
return m_xpr.template packet<Unaligned>
(m_startRow.value() + (RowsAtCompileTime == 1 ? 0 : index),
m_startCol.value() + (RowsAtCompileTime == 1 ? index : 0));
}
template<int LoadMode>
inline void writePacket(Index index, const PacketScalar& val)
{
m_xpr.template writePacket<Unaligned>
(m_startRow.value() + (RowsAtCompileTime == 1 ? 0 : index),
m_startCol.value() + (RowsAtCompileTime == 1 ? index : 0), val);
}
#ifdef EIGEN_PARSED_BY_DOXYGEN
/** \sa MapBase::data() */
EIGEN_DEVICE_FUNC inline const Scalar* data() const;
EIGEN_DEVICE_FUNC inline Index innerStride() const;
EIGEN_DEVICE_FUNC inline Index outerStride() const;
#endif
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
const typename internal::remove_all<XprTypeNested>::type& nestedExpression() const
{
return m_xpr;
}
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
XprType& nestedExpression() { return m_xpr; }
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE EIGEN_CONSTEXPR
StorageIndex startRow() const EIGEN_NOEXCEPT
{
return m_startRow.value();
}
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE EIGEN_CONSTEXPR
StorageIndex startCol() const EIGEN_NOEXCEPT
{
return m_startCol.value();
}
protected:
XprTypeNested m_xpr;
const internal::variable_if_dynamic<StorageIndex, (XprType::RowsAtCompileTime == 1 && BlockRows==1) ? 0 : Dynamic> m_startRow;
const internal::variable_if_dynamic<StorageIndex, (XprType::ColsAtCompileTime == 1 && BlockCols==1) ? 0 : Dynamic> m_startCol;
const internal::variable_if_dynamic<StorageIndex, RowsAtCompileTime> m_blockRows;
const internal::variable_if_dynamic<StorageIndex, ColsAtCompileTime> m_blockCols;
};
/** \internal Internal implementation of dense Blocks in the direct access case.*/
template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel>
class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
: public MapBase<Block<XprType, BlockRows, BlockCols, InnerPanel> >
{
typedef Block<XprType, BlockRows, BlockCols, InnerPanel> BlockType;
typedef typename internal::ref_selector<XprType>::non_const_type XprTypeNested;
enum {
XprTypeIsRowMajor = (int(traits<XprType>::Flags)&RowMajorBit) != 0
};
public:
typedef MapBase<BlockType> Base;
EIGEN_DENSE_PUBLIC_INTERFACE(BlockType)
EIGEN_INHERIT_ASSIGNMENT_OPERATORS(BlockImpl_dense)
/** Column or Row constructor
*/
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
BlockImpl_dense(XprType& xpr, Index i)
: Base(xpr.data() + i * ( ((BlockRows==1) && (BlockCols==XprType::ColsAtCompileTime) && (!XprTypeIsRowMajor))
|| ((BlockRows==XprType::RowsAtCompileTime) && (BlockCols==1) && ( XprTypeIsRowMajor)) ? xpr.innerStride() : xpr.outerStride()),
BlockRows==1 ? 1 : xpr.rows(),
BlockCols==1 ? 1 : xpr.cols()),
m_xpr(xpr),
m_startRow( (BlockRows==1) && (BlockCols==XprType::ColsAtCompileTime) ? i : 0),
m_startCol( (BlockRows==XprType::RowsAtCompileTime) && (BlockCols==1) ? i : 0)
{
init();
}
/** Fixed-size constructor
*/
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
BlockImpl_dense(XprType& xpr, Index startRow, Index startCol)
: Base(xpr.data()+xpr.innerStride()*(XprTypeIsRowMajor?startCol:startRow) + xpr.outerStride()*(XprTypeIsRowMajor?startRow:startCol)),
m_xpr(xpr), m_startRow(startRow), m_startCol(startCol)
{
init();
}
/** Dynamic-size constructor
*/
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
BlockImpl_dense(XprType& xpr,
Index startRow, Index startCol,
Index blockRows, Index blockCols)
: Base(xpr.data()+xpr.innerStride()*(XprTypeIsRowMajor?startCol:startRow) + xpr.outerStride()*(XprTypeIsRowMajor?startRow:startCol), blockRows, blockCols),
m_xpr(xpr), m_startRow(startRow), m_startCol(startCol)
{
init();
}
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
const typename internal::remove_all<XprTypeNested>::type& nestedExpression() const EIGEN_NOEXCEPT
{
return m_xpr;
}
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
XprType& nestedExpression() { return m_xpr; }
/** \sa MapBase::innerStride() */
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE EIGEN_CONSTEXPR
Index innerStride() const EIGEN_NOEXCEPT
{
return internal::traits<BlockType>::HasSameStorageOrderAsXprType
? m_xpr.innerStride()
: m_xpr.outerStride();
}
/** \sa MapBase::outerStride() */
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE EIGEN_CONSTEXPR
Index outerStride() const EIGEN_NOEXCEPT
{
return internal::traits<BlockType>::HasSameStorageOrderAsXprType
? m_xpr.outerStride()
: m_xpr.innerStride();
}
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE EIGEN_CONSTEXPR
StorageIndex startRow() const EIGEN_NOEXCEPT { return m_startRow.value(); }
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE EIGEN_CONSTEXPR
StorageIndex startCol() const EIGEN_NOEXCEPT { return m_startCol.value(); }
#ifndef __SUNPRO_CC
// FIXME sunstudio is not friendly with the above friend...
// META-FIXME there is no 'friend' keyword around here. Is this obsolete?
protected:
#endif
#ifndef EIGEN_PARSED_BY_DOXYGEN
/** \internal used by allowAligned() */
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
BlockImpl_dense(XprType& xpr, const Scalar* data, Index blockRows, Index blockCols)
: Base(data, blockRows, blockCols), m_xpr(xpr)
{
init();
}
#endif
protected:
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
void init()
{
m_outerStride = internal::traits<BlockType>::HasSameStorageOrderAsXprType
? m_xpr.outerStride()
: m_xpr.innerStride();
}
XprTypeNested m_xpr;
const internal::variable_if_dynamic<StorageIndex, (XprType::RowsAtCompileTime == 1 && BlockRows==1) ? 0 : Dynamic> m_startRow;
const internal::variable_if_dynamic<StorageIndex, (XprType::ColsAtCompileTime == 1 && BlockCols==1) ? 0 : Dynamic> m_startCol;
Index m_outerStride;
};
} // end namespace internal
} // end namespace Eigen
#endif // EIGEN_BLOCK_H

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// This file is part of Eigen, a lightweight C++ template library
// for linear algebra.
//
// Copyright (C) 2008 Gael Guennebaud <gael.guennebaud@inria.fr>
//
// This Source Code Form is subject to the terms of the Mozilla
// Public License v. 2.0. If a copy of the MPL was not distributed
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
#ifndef EIGEN_ALLANDANY_H
#define EIGEN_ALLANDANY_H
namespace Eigen {
namespace internal {
template<typename Derived, int UnrollCount, int Rows>
struct all_unroller
{
enum {
col = (UnrollCount-1) / Rows,
row = (UnrollCount-1) % Rows
};
EIGEN_DEVICE_FUNC static inline bool run(const Derived &mat)
{
return all_unroller<Derived, UnrollCount-1, Rows>::run(mat) && mat.coeff(row, col);
}
};
template<typename Derived, int Rows>
struct all_unroller<Derived, 0, Rows>
{
EIGEN_DEVICE_FUNC static inline bool run(const Derived &/*mat*/) { return true; }
};
template<typename Derived, int Rows>
struct all_unroller<Derived, Dynamic, Rows>
{
EIGEN_DEVICE_FUNC static inline bool run(const Derived &) { return false; }
};
template<typename Derived, int UnrollCount, int Rows>
struct any_unroller
{
enum {
col = (UnrollCount-1) / Rows,
row = (UnrollCount-1) % Rows
};
EIGEN_DEVICE_FUNC static inline bool run(const Derived &mat)
{
return any_unroller<Derived, UnrollCount-1, Rows>::run(mat) || mat.coeff(row, col);
}
};
template<typename Derived, int Rows>
struct any_unroller<Derived, 0, Rows>
{
EIGEN_DEVICE_FUNC static inline bool run(const Derived & /*mat*/) { return false; }
};
template<typename Derived, int Rows>
struct any_unroller<Derived, Dynamic, Rows>
{
EIGEN_DEVICE_FUNC static inline bool run(const Derived &) { return false; }
};
} // end namespace internal
/** \returns true if all coefficients are true
*
* Example: \include MatrixBase_all.cpp
* Output: \verbinclude MatrixBase_all.out
*
* \sa any(), Cwise::operator<()
*/
template<typename Derived>
EIGEN_DEVICE_FUNC inline bool DenseBase<Derived>::all() const
{
typedef internal::evaluator<Derived> Evaluator;
enum {
unroll = SizeAtCompileTime != Dynamic
&& SizeAtCompileTime * (int(Evaluator::CoeffReadCost) + int(NumTraits<Scalar>::AddCost)) <= EIGEN_UNROLLING_LIMIT
};
Evaluator evaluator(derived());
if(unroll)
return internal::all_unroller<Evaluator, unroll ? int(SizeAtCompileTime) : Dynamic, internal::traits<Derived>::RowsAtCompileTime>::run(evaluator);
else
{
for(Index j = 0; j < cols(); ++j)
for(Index i = 0; i < rows(); ++i)
if (!evaluator.coeff(i, j)) return false;
return true;
}
}
/** \returns true if at least one coefficient is true
*
* \sa all()
*/
template<typename Derived>
EIGEN_DEVICE_FUNC inline bool DenseBase<Derived>::any() const
{
typedef internal::evaluator<Derived> Evaluator;
enum {
unroll = SizeAtCompileTime != Dynamic
&& SizeAtCompileTime * (int(Evaluator::CoeffReadCost) + int(NumTraits<Scalar>::AddCost)) <= EIGEN_UNROLLING_LIMIT
};
Evaluator evaluator(derived());
if(unroll)
return internal::any_unroller<Evaluator, unroll ? int(SizeAtCompileTime) : Dynamic, internal::traits<Derived>::RowsAtCompileTime>::run(evaluator);
else
{
for(Index j = 0; j < cols(); ++j)
for(Index i = 0; i < rows(); ++i)
if (evaluator.coeff(i, j)) return true;
return false;
}
}
/** \returns the number of coefficients which evaluate to true
*
* \sa all(), any()
*/
template<typename Derived>
EIGEN_DEVICE_FUNC inline Eigen::Index DenseBase<Derived>::count() const
{
return derived().template cast<bool>().template cast<Index>().sum();
}
/** \returns true is \c *this contains at least one Not A Number (NaN).
*
* \sa allFinite()
*/
template<typename Derived>
inline bool DenseBase<Derived>::hasNaN() const
{
#if EIGEN_COMP_MSVC || (defined __FAST_MATH__)
return derived().array().isNaN().any();
#else
return !((derived().array()==derived().array()).all());
#endif
}
/** \returns true if \c *this contains only finite numbers, i.e., no NaN and no +/-INF values.
*
* \sa hasNaN()
*/
template<typename Derived>
inline bool DenseBase<Derived>::allFinite() const
{
#if EIGEN_COMP_MSVC || (defined __FAST_MATH__)
return derived().array().isFinite().all();
#else
return !((derived()-derived()).hasNaN());
#endif
}
} // end namespace Eigen
#endif // EIGEN_ALLANDANY_H

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// This file is part of Eigen, a lightweight C++ template library
// for linear algebra.
//
// Copyright (C) 2008 Gael Guennebaud <gael.guennebaud@inria.fr>
// Copyright (C) 2006-2008 Benoit Jacob <jacob.benoit.1@gmail.com>
//
// This Source Code Form is subject to the terms of the Mozilla
// Public License v. 2.0. If a copy of the MPL was not distributed
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
#ifndef EIGEN_COMMAINITIALIZER_H
#define EIGEN_COMMAINITIALIZER_H
namespace Eigen {
/** \class CommaInitializer
* \ingroup Core_Module
*
* \brief Helper class used by the comma initializer operator
*
* This class is internally used to implement the comma initializer feature. It is
* the return type of MatrixBase::operator<<, and most of the time this is the only
* way it is used.
*
* \sa \blank \ref MatrixBaseCommaInitRef "MatrixBase::operator<<", CommaInitializer::finished()
*/
template<typename XprType>
struct CommaInitializer
{
typedef typename XprType::Scalar Scalar;
EIGEN_DEVICE_FUNC
inline CommaInitializer(XprType& xpr, const Scalar& s)
: m_xpr(xpr), m_row(0), m_col(1), m_currentBlockRows(1)
{
eigen_assert(m_xpr.rows() > 0 && m_xpr.cols() > 0
&& "Cannot comma-initialize a 0x0 matrix (operator<<)");
m_xpr.coeffRef(0,0) = s;
}
template<typename OtherDerived>
EIGEN_DEVICE_FUNC
inline CommaInitializer(XprType& xpr, const DenseBase<OtherDerived>& other)
: m_xpr(xpr), m_row(0), m_col(other.cols()), m_currentBlockRows(other.rows())
{
eigen_assert(m_xpr.rows() >= other.rows() && m_xpr.cols() >= other.cols()
&& "Cannot comma-initialize a 0x0 matrix (operator<<)");
m_xpr.block(0, 0, other.rows(), other.cols()) = other;
}
/* Copy/Move constructor which transfers ownership. This is crucial in
* absence of return value optimization to avoid assertions during destruction. */
// FIXME in C++11 mode this could be replaced by a proper RValue constructor
EIGEN_DEVICE_FUNC
inline CommaInitializer(const CommaInitializer& o)
: m_xpr(o.m_xpr), m_row(o.m_row), m_col(o.m_col), m_currentBlockRows(o.m_currentBlockRows) {
// Mark original object as finished. In absence of R-value references we need to const_cast:
const_cast<CommaInitializer&>(o).m_row = m_xpr.rows();
const_cast<CommaInitializer&>(o).m_col = m_xpr.cols();
const_cast<CommaInitializer&>(o).m_currentBlockRows = 0;
}
/* inserts a scalar value in the target matrix */
EIGEN_DEVICE_FUNC
CommaInitializer& operator,(const Scalar& s)
{
if (m_col==m_xpr.cols())
{
m_row+=m_currentBlockRows;
m_col = 0;
m_currentBlockRows = 1;
eigen_assert(m_row<m_xpr.rows()
&& "Too many rows passed to comma initializer (operator<<)");
}
eigen_assert(m_col<m_xpr.cols()
&& "Too many coefficients passed to comma initializer (operator<<)");
eigen_assert(m_currentBlockRows==1);
m_xpr.coeffRef(m_row, m_col++) = s;
return *this;
}
/* inserts a matrix expression in the target matrix */
template<typename OtherDerived>
EIGEN_DEVICE_FUNC
CommaInitializer& operator,(const DenseBase<OtherDerived>& other)
{
if (m_col==m_xpr.cols() && (other.cols()!=0 || other.rows()!=m_currentBlockRows))
{
m_row+=m_currentBlockRows;
m_col = 0;
m_currentBlockRows = other.rows();
eigen_assert(m_row+m_currentBlockRows<=m_xpr.rows()
&& "Too many rows passed to comma initializer (operator<<)");
}
eigen_assert((m_col + other.cols() <= m_xpr.cols())
&& "Too many coefficients passed to comma initializer (operator<<)");
eigen_assert(m_currentBlockRows==other.rows());
m_xpr.template block<OtherDerived::RowsAtCompileTime, OtherDerived::ColsAtCompileTime>
(m_row, m_col, other.rows(), other.cols()) = other;
m_col += other.cols();
return *this;
}
EIGEN_DEVICE_FUNC
inline ~CommaInitializer()
#if defined VERIFY_RAISES_ASSERT && (!defined EIGEN_NO_ASSERTION_CHECKING) && defined EIGEN_EXCEPTIONS
EIGEN_EXCEPTION_SPEC(Eigen::eigen_assert_exception)
#endif
{
finished();
}
/** \returns the built matrix once all its coefficients have been set.
* Calling finished is 100% optional. Its purpose is to write expressions
* like this:
* \code
* quaternion.fromRotationMatrix((Matrix3f() << axis0, axis1, axis2).finished());
* \endcode
*/
EIGEN_DEVICE_FUNC
inline XprType& finished() {
eigen_assert(((m_row+m_currentBlockRows) == m_xpr.rows() || m_xpr.cols() == 0)
&& m_col == m_xpr.cols()
&& "Too few coefficients passed to comma initializer (operator<<)");
return m_xpr;
}
XprType& m_xpr; // target expression
Index m_row; // current row id
Index m_col; // current col id
Index m_currentBlockRows; // current block height
};
/** \anchor MatrixBaseCommaInitRef
* Convenient operator to set the coefficients of a matrix.
*
* The coefficients must be provided in a row major order and exactly match
* the size of the matrix. Otherwise an assertion is raised.
*
* Example: \include MatrixBase_set.cpp
* Output: \verbinclude MatrixBase_set.out
*
* \note According the c++ standard, the argument expressions of this comma initializer are evaluated in arbitrary order.
*
* \sa CommaInitializer::finished(), class CommaInitializer
*/
template<typename Derived>
EIGEN_DEVICE_FUNC inline CommaInitializer<Derived> DenseBase<Derived>::operator<< (const Scalar& s)
{
return CommaInitializer<Derived>(*static_cast<Derived*>(this), s);
}
/** \sa operator<<(const Scalar&) */
template<typename Derived>
template<typename OtherDerived>
EIGEN_DEVICE_FUNC inline CommaInitializer<Derived>
DenseBase<Derived>::operator<<(const DenseBase<OtherDerived>& other)
{
return CommaInitializer<Derived>(*static_cast<Derived *>(this), other);
}
} // end namespace Eigen
#endif // EIGEN_COMMAINITIALIZER_H

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// This file is part of Eigen, a lightweight C++ template library
// for linear algebra.
//
// Copyright (C) 2016 Rasmus Munk Larsen (rmlarsen@google.com)
//
// This Source Code Form is subject to the terms of the Mozilla
// Public License v. 2.0. If a copy of the MPL was not distributed
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
#ifndef EIGEN_CONDITIONESTIMATOR_H
#define EIGEN_CONDITIONESTIMATOR_H
namespace Eigen {
namespace internal {
template <typename Vector, typename RealVector, bool IsComplex>
struct rcond_compute_sign {
static inline Vector run(const Vector& v) {
const RealVector v_abs = v.cwiseAbs();
return (v_abs.array() == static_cast<typename Vector::RealScalar>(0))
.select(Vector::Ones(v.size()), v.cwiseQuotient(v_abs));
}
};
// Partial specialization to avoid elementwise division for real vectors.
template <typename Vector>
struct rcond_compute_sign<Vector, Vector, false> {
static inline Vector run(const Vector& v) {
return (v.array() < static_cast<typename Vector::RealScalar>(0))
.select(-Vector::Ones(v.size()), Vector::Ones(v.size()));
}
};
/**
* \returns an estimate of ||inv(matrix)||_1 given a decomposition of
* \a matrix that implements .solve() and .adjoint().solve() methods.
*
* This function implements Algorithms 4.1 and 5.1 from
* http://www.maths.manchester.ac.uk/~higham/narep/narep135.pdf
* which also forms the basis for the condition number estimators in
* LAPACK. Since at most 10 calls to the solve method of dec are
* performed, the total cost is O(dims^2), as opposed to O(dims^3)
* needed to compute the inverse matrix explicitly.
*
* The most common usage is in estimating the condition number
* ||matrix||_1 * ||inv(matrix)||_1. The first term ||matrix||_1 can be
* computed directly in O(n^2) operations.
*
* Supports the following decompositions: FullPivLU, PartialPivLU, LDLT, and
* LLT.
*
* \sa FullPivLU, PartialPivLU, LDLT, LLT.
*/
template <typename Decomposition>
typename Decomposition::RealScalar rcond_invmatrix_L1_norm_estimate(const Decomposition& dec)
{
typedef typename Decomposition::MatrixType MatrixType;
typedef typename Decomposition::Scalar Scalar;
typedef typename Decomposition::RealScalar RealScalar;
typedef typename internal::plain_col_type<MatrixType>::type Vector;
typedef typename internal::plain_col_type<MatrixType, RealScalar>::type RealVector;
const bool is_complex = (NumTraits<Scalar>::IsComplex != 0);
eigen_assert(dec.rows() == dec.cols());
const Index n = dec.rows();
if (n == 0)
return 0;
// Disable Index to float conversion warning
#ifdef __INTEL_COMPILER
#pragma warning push
#pragma warning ( disable : 2259 )
#endif
Vector v = dec.solve(Vector::Ones(n) / Scalar(n));
#ifdef __INTEL_COMPILER
#pragma warning pop
#endif
// lower_bound is a lower bound on
// ||inv(matrix)||_1 = sup_v ||inv(matrix) v||_1 / ||v||_1
// and is the objective maximized by the ("super-") gradient ascent
// algorithm below.
RealScalar lower_bound = v.template lpNorm<1>();
if (n == 1)
return lower_bound;
// Gradient ascent algorithm follows: We know that the optimum is achieved at
// one of the simplices v = e_i, so in each iteration we follow a
// super-gradient to move towards the optimal one.
RealScalar old_lower_bound = lower_bound;
Vector sign_vector(n);
Vector old_sign_vector;
Index v_max_abs_index = -1;
Index old_v_max_abs_index = v_max_abs_index;
for (int k = 0; k < 4; ++k)
{
sign_vector = internal::rcond_compute_sign<Vector, RealVector, is_complex>::run(v);
if (k > 0 && !is_complex && sign_vector == old_sign_vector) {
// Break if the solution stagnated.
break;
}
// v_max_abs_index = argmax |real( inv(matrix)^T * sign_vector )|
v = dec.adjoint().solve(sign_vector);
v.real().cwiseAbs().maxCoeff(&v_max_abs_index);
if (v_max_abs_index == old_v_max_abs_index) {
// Break if the solution stagnated.
break;
}
// Move to the new simplex e_j, where j = v_max_abs_index.
v = dec.solve(Vector::Unit(n, v_max_abs_index)); // v = inv(matrix) * e_j.
lower_bound = v.template lpNorm<1>();
if (lower_bound <= old_lower_bound) {
// Break if the gradient step did not increase the lower_bound.
break;
}
if (!is_complex) {
old_sign_vector = sign_vector;
}
old_v_max_abs_index = v_max_abs_index;
old_lower_bound = lower_bound;
}
// The following calculates an independent estimate of ||matrix||_1 by
// multiplying matrix by a vector with entries of slowly increasing
// magnitude and alternating sign:
// v_i = (-1)^{i} (1 + (i / (dim-1))), i = 0,...,dim-1.
// This improvement to Hager's algorithm above is due to Higham. It was
// added to make the algorithm more robust in certain corner cases where
// large elements in the matrix might otherwise escape detection due to
// exact cancellation (especially when op and op_adjoint correspond to a
// sequence of backsubstitutions and permutations), which could cause
// Hager's algorithm to vastly underestimate ||matrix||_1.
Scalar alternating_sign(RealScalar(1));
for (Index i = 0; i < n; ++i) {
// The static_cast is needed when Scalar is a complex and RealScalar implements expression templates
v[i] = alternating_sign * static_cast<RealScalar>(RealScalar(1) + (RealScalar(i) / (RealScalar(n - 1))));
alternating_sign = -alternating_sign;
}
v = dec.solve(v);
const RealScalar alternate_lower_bound = (2 * v.template lpNorm<1>()) / (3 * RealScalar(n));
return numext::maxi(lower_bound, alternate_lower_bound);
}
/** \brief Reciprocal condition number estimator.
*
* Computing a decomposition of a dense matrix takes O(n^3) operations, while
* this method estimates the condition number quickly and reliably in O(n^2)
* operations.
*
* \returns an estimate of the reciprocal condition number
* (1 / (||matrix||_1 * ||inv(matrix)||_1)) of matrix, given ||matrix||_1 and
* its decomposition. Supports the following decompositions: FullPivLU,
* PartialPivLU, LDLT, and LLT.
*
* \sa FullPivLU, PartialPivLU, LDLT, LLT.
*/
template <typename Decomposition>
typename Decomposition::RealScalar
rcond_estimate_helper(typename Decomposition::RealScalar matrix_norm, const Decomposition& dec)
{
typedef typename Decomposition::RealScalar RealScalar;
eigen_assert(dec.rows() == dec.cols());
if (dec.rows() == 0) return NumTraits<RealScalar>::infinity();
if (matrix_norm == RealScalar(0)) return RealScalar(0);
if (dec.rows() == 1) return RealScalar(1);
const RealScalar inverse_matrix_norm = rcond_invmatrix_L1_norm_estimate(dec);
return (inverse_matrix_norm == RealScalar(0) ? RealScalar(0)
: (RealScalar(1) / inverse_matrix_norm) / matrix_norm);
}
} // namespace internal
} // namespace Eigen
#endif

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// This file is part of Eigen, a lightweight C++ template library
// for linear algebra.
//
// Copyright (C) 2008-2014 Gael Guennebaud <gael.guennebaud@inria.fr>
//
// This Source Code Form is subject to the terms of the Mozilla
// Public License v. 2.0. If a copy of the MPL was not distributed
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
#ifndef EIGEN_COREITERATORS_H
#define EIGEN_COREITERATORS_H
namespace Eigen {
/* This file contains the respective InnerIterator definition of the expressions defined in Eigen/Core
*/
namespace internal {
template<typename XprType, typename EvaluatorKind>
class inner_iterator_selector;
}
/** \class InnerIterator
* \brief An InnerIterator allows to loop over the element of any matrix expression.
*
* \warning To be used with care because an evaluator is constructed every time an InnerIterator iterator is constructed.
*
* TODO: add a usage example
*/
template<typename XprType>
class InnerIterator
{
protected:
typedef internal::inner_iterator_selector<XprType, typename internal::evaluator_traits<XprType>::Kind> IteratorType;
typedef internal::evaluator<XprType> EvaluatorType;
typedef typename internal::traits<XprType>::Scalar Scalar;
public:
/** Construct an iterator over the \a outerId -th row or column of \a xpr */
InnerIterator(const XprType &xpr, const Index &outerId)
: m_eval(xpr), m_iter(m_eval, outerId, xpr.innerSize())
{}
/// \returns the value of the current coefficient.
EIGEN_STRONG_INLINE Scalar value() const { return m_iter.value(); }
/** Increment the iterator \c *this to the next non-zero coefficient.
* Explicit zeros are not skipped over. To skip explicit zeros, see class SparseView
*/
EIGEN_STRONG_INLINE InnerIterator& operator++() { m_iter.operator++(); return *this; }
EIGEN_STRONG_INLINE InnerIterator& operator+=(Index i) { m_iter.operator+=(i); return *this; }
EIGEN_STRONG_INLINE InnerIterator operator+(Index i)
{ InnerIterator result(*this); result+=i; return result; }
/// \returns the column or row index of the current coefficient.
EIGEN_STRONG_INLINE Index index() const { return m_iter.index(); }
/// \returns the row index of the current coefficient.
EIGEN_STRONG_INLINE Index row() const { return m_iter.row(); }
/// \returns the column index of the current coefficient.
EIGEN_STRONG_INLINE Index col() const { return m_iter.col(); }
/// \returns \c true if the iterator \c *this still references a valid coefficient.
EIGEN_STRONG_INLINE operator bool() const { return m_iter; }
protected:
EvaluatorType m_eval;
IteratorType m_iter;
private:
// If you get here, then you're not using the right InnerIterator type, e.g.:
// SparseMatrix<double,RowMajor> A;
// SparseMatrix<double>::InnerIterator it(A,0);
template<typename T> InnerIterator(const EigenBase<T>&,Index outer);
};
namespace internal {
// Generic inner iterator implementation for dense objects
template<typename XprType>
class inner_iterator_selector<XprType, IndexBased>
{
protected:
typedef evaluator<XprType> EvaluatorType;
typedef typename traits<XprType>::Scalar Scalar;
enum { IsRowMajor = (XprType::Flags&RowMajorBit)==RowMajorBit };
public:
EIGEN_STRONG_INLINE inner_iterator_selector(const EvaluatorType &eval, const Index &outerId, const Index &innerSize)
: m_eval(eval), m_inner(0), m_outer(outerId), m_end(innerSize)
{}
EIGEN_STRONG_INLINE Scalar value() const
{
return (IsRowMajor) ? m_eval.coeff(m_outer, m_inner)
: m_eval.coeff(m_inner, m_outer);
}
EIGEN_STRONG_INLINE inner_iterator_selector& operator++() { m_inner++; return *this; }
EIGEN_STRONG_INLINE Index index() const { return m_inner; }
inline Index row() const { return IsRowMajor ? m_outer : index(); }
inline Index col() const { return IsRowMajor ? index() : m_outer; }
EIGEN_STRONG_INLINE operator bool() const { return m_inner < m_end && m_inner>=0; }
protected:
const EvaluatorType& m_eval;
Index m_inner;
const Index m_outer;
const Index m_end;
};
// For iterator-based evaluator, inner-iterator is already implemented as
// evaluator<>::InnerIterator
template<typename XprType>
class inner_iterator_selector<XprType, IteratorBased>
: public evaluator<XprType>::InnerIterator
{
protected:
typedef typename evaluator<XprType>::InnerIterator Base;
typedef evaluator<XprType> EvaluatorType;
public:
EIGEN_STRONG_INLINE inner_iterator_selector(const EvaluatorType &eval, const Index &outerId, const Index &/*innerSize*/)
: Base(eval, outerId)
{}
};
} // end namespace internal
} // end namespace Eigen
#endif // EIGEN_COREITERATORS_H

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// This file is part of Eigen, a lightweight C++ template library
// for linear algebra.
//
// Copyright (C) 2008-2014 Gael Guennebaud <gael.guennebaud@inria.fr>
// Copyright (C) 2006-2008 Benoit Jacob <jacob.benoit.1@gmail.com>
//
// This Source Code Form is subject to the terms of the Mozilla
// Public License v. 2.0. If a copy of the MPL was not distributed
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
#ifndef EIGEN_CWISE_BINARY_OP_H
#define EIGEN_CWISE_BINARY_OP_H
namespace Eigen {
namespace internal {
template<typename BinaryOp, typename Lhs, typename Rhs>
struct traits<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
{
// we must not inherit from traits<Lhs> since it has
// the potential to cause problems with MSVC
typedef typename remove_all<Lhs>::type Ancestor;
typedef typename traits<Ancestor>::XprKind XprKind;
enum {
RowsAtCompileTime = traits<Ancestor>::RowsAtCompileTime,
ColsAtCompileTime = traits<Ancestor>::ColsAtCompileTime,
MaxRowsAtCompileTime = traits<Ancestor>::MaxRowsAtCompileTime,
MaxColsAtCompileTime = traits<Ancestor>::MaxColsAtCompileTime
};
// even though we require Lhs and Rhs to have the same scalar type (see CwiseBinaryOp constructor),
// we still want to handle the case when the result type is different.
typedef typename result_of<
BinaryOp(
const typename Lhs::Scalar&,
const typename Rhs::Scalar&
)
>::type Scalar;
typedef typename cwise_promote_storage_type<typename traits<Lhs>::StorageKind,
typename traits<Rhs>::StorageKind,
BinaryOp>::ret StorageKind;
typedef typename promote_index_type<typename traits<Lhs>::StorageIndex,
typename traits<Rhs>::StorageIndex>::type StorageIndex;
typedef typename Lhs::Nested LhsNested;
typedef typename Rhs::Nested RhsNested;
typedef typename remove_reference<LhsNested>::type _LhsNested;
typedef typename remove_reference<RhsNested>::type _RhsNested;
enum {
Flags = cwise_promote_storage_order<typename traits<Lhs>::StorageKind,typename traits<Rhs>::StorageKind,_LhsNested::Flags & RowMajorBit,_RhsNested::Flags & RowMajorBit>::value
};
};
} // end namespace internal
template<typename BinaryOp, typename Lhs, typename Rhs, typename StorageKind>
class CwiseBinaryOpImpl;
/** \class CwiseBinaryOp
* \ingroup Core_Module
*
* \brief Generic expression where a coefficient-wise binary operator is applied to two expressions
*
* \tparam BinaryOp template functor implementing the operator
* \tparam LhsType the type of the left-hand side
* \tparam RhsType the type of the right-hand side
*
* This class represents an expression where a coefficient-wise binary operator is applied to two expressions.
* It is the return type of binary operators, by which we mean only those binary operators where
* both the left-hand side and the right-hand side are Eigen expressions.
* For example, the return type of matrix1+matrix2 is a CwiseBinaryOp.
*
* Most of the time, this is the only way that it is used, so you typically don't have to name
* CwiseBinaryOp types explicitly.
*
* \sa MatrixBase::binaryExpr(const MatrixBase<OtherDerived> &,const CustomBinaryOp &) const, class CwiseUnaryOp, class CwiseNullaryOp
*/
template<typename BinaryOp, typename LhsType, typename RhsType>
class CwiseBinaryOp :
public CwiseBinaryOpImpl<
BinaryOp, LhsType, RhsType,
typename internal::cwise_promote_storage_type<typename internal::traits<LhsType>::StorageKind,
typename internal::traits<RhsType>::StorageKind,
BinaryOp>::ret>,
internal::no_assignment_operator
{
public:
typedef typename internal::remove_all<BinaryOp>::type Functor;
typedef typename internal::remove_all<LhsType>::type Lhs;
typedef typename internal::remove_all<RhsType>::type Rhs;
typedef typename CwiseBinaryOpImpl<
BinaryOp, LhsType, RhsType,
typename internal::cwise_promote_storage_type<typename internal::traits<LhsType>::StorageKind,
typename internal::traits<Rhs>::StorageKind,
BinaryOp>::ret>::Base Base;
EIGEN_GENERIC_PUBLIC_INTERFACE(CwiseBinaryOp)
typedef typename internal::ref_selector<LhsType>::type LhsNested;
typedef typename internal::ref_selector<RhsType>::type RhsNested;
typedef typename internal::remove_reference<LhsNested>::type _LhsNested;
typedef typename internal::remove_reference<RhsNested>::type _RhsNested;
#if EIGEN_COMP_MSVC && EIGEN_HAS_CXX11
//Required for Visual Studio or the Copy constructor will probably not get inlined!
EIGEN_STRONG_INLINE
CwiseBinaryOp(const CwiseBinaryOp<BinaryOp,LhsType,RhsType>&) = default;
#endif
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
CwiseBinaryOp(const Lhs& aLhs, const Rhs& aRhs, const BinaryOp& func = BinaryOp())
: m_lhs(aLhs), m_rhs(aRhs), m_functor(func)
{
EIGEN_CHECK_BINARY_COMPATIBILIY(BinaryOp,typename Lhs::Scalar,typename Rhs::Scalar);
// require the sizes to match
EIGEN_STATIC_ASSERT_SAME_MATRIX_SIZE(Lhs, Rhs)
eigen_assert(aLhs.rows() == aRhs.rows() && aLhs.cols() == aRhs.cols());
}
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE EIGEN_CONSTEXPR
Index rows() const EIGEN_NOEXCEPT {
// return the fixed size type if available to enable compile time optimizations
return internal::traits<typename internal::remove_all<LhsNested>::type>::RowsAtCompileTime==Dynamic ? m_rhs.rows() : m_lhs.rows();
}
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE EIGEN_CONSTEXPR
Index cols() const EIGEN_NOEXCEPT {
// return the fixed size type if available to enable compile time optimizations
return internal::traits<typename internal::remove_all<LhsNested>::type>::ColsAtCompileTime==Dynamic ? m_rhs.cols() : m_lhs.cols();
}
/** \returns the left hand side nested expression */
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
const _LhsNested& lhs() const { return m_lhs; }
/** \returns the right hand side nested expression */
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
const _RhsNested& rhs() const { return m_rhs; }
/** \returns the functor representing the binary operation */
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
const BinaryOp& functor() const { return m_functor; }
protected:
LhsNested m_lhs;
RhsNested m_rhs;
const BinaryOp m_functor;
};
// Generic API dispatcher
template<typename BinaryOp, typename Lhs, typename Rhs, typename StorageKind>
class CwiseBinaryOpImpl
: public internal::generic_xpr_base<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >::type
{
public:
typedef typename internal::generic_xpr_base<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >::type Base;
};
/** replaces \c *this by \c *this - \a other.
*
* \returns a reference to \c *this
*/
template<typename Derived>
template<typename OtherDerived>
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Derived &
MatrixBase<Derived>::operator-=(const MatrixBase<OtherDerived> &other)
{
call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
return derived();
}
/** replaces \c *this by \c *this + \a other.
*
* \returns a reference to \c *this
*/
template<typename Derived>
template<typename OtherDerived>
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Derived &
MatrixBase<Derived>::operator+=(const MatrixBase<OtherDerived>& other)
{
call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
return derived();
}
} // end namespace Eigen
#endif // EIGEN_CWISE_BINARY_OP_H

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// This file is part of Eigen, a lightweight C++ template library
// for linear algebra.
//
// Copyright (C) 2008-2014 Gael Guennebaud <gael.guennebaud@inria.fr>
// Copyright (C) 2006-2008 Benoit Jacob <jacob.benoit.1@gmail.com>
// Copyright (C) 2016 Eugene Brevdo <ebrevdo@gmail.com>
//
// This Source Code Form is subject to the terms of the Mozilla
// Public License v. 2.0. If a copy of the MPL was not distributed
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
#ifndef EIGEN_CWISE_TERNARY_OP_H
#define EIGEN_CWISE_TERNARY_OP_H
namespace Eigen {
namespace internal {
template <typename TernaryOp, typename Arg1, typename Arg2, typename Arg3>
struct traits<CwiseTernaryOp<TernaryOp, Arg1, Arg2, Arg3> > {
// we must not inherit from traits<Arg1> since it has
// the potential to cause problems with MSVC
typedef typename remove_all<Arg1>::type Ancestor;
typedef typename traits<Ancestor>::XprKind XprKind;
enum {
RowsAtCompileTime = traits<Ancestor>::RowsAtCompileTime,
ColsAtCompileTime = traits<Ancestor>::ColsAtCompileTime,
MaxRowsAtCompileTime = traits<Ancestor>::MaxRowsAtCompileTime,
MaxColsAtCompileTime = traits<Ancestor>::MaxColsAtCompileTime
};
// even though we require Arg1, Arg2, and Arg3 to have the same scalar type
// (see CwiseTernaryOp constructor),
// we still want to handle the case when the result type is different.
typedef typename result_of<TernaryOp(
const typename Arg1::Scalar&, const typename Arg2::Scalar&,
const typename Arg3::Scalar&)>::type Scalar;
typedef typename internal::traits<Arg1>::StorageKind StorageKind;
typedef typename internal::traits<Arg1>::StorageIndex StorageIndex;
typedef typename Arg1::Nested Arg1Nested;
typedef typename Arg2::Nested Arg2Nested;
typedef typename Arg3::Nested Arg3Nested;
typedef typename remove_reference<Arg1Nested>::type _Arg1Nested;
typedef typename remove_reference<Arg2Nested>::type _Arg2Nested;
typedef typename remove_reference<Arg3Nested>::type _Arg3Nested;
enum { Flags = _Arg1Nested::Flags & RowMajorBit };
};
} // end namespace internal
template <typename TernaryOp, typename Arg1, typename Arg2, typename Arg3,
typename StorageKind>
class CwiseTernaryOpImpl;
/** \class CwiseTernaryOp
* \ingroup Core_Module
*
* \brief Generic expression where a coefficient-wise ternary operator is
* applied to two expressions
*
* \tparam TernaryOp template functor implementing the operator
* \tparam Arg1Type the type of the first argument
* \tparam Arg2Type the type of the second argument
* \tparam Arg3Type the type of the third argument
*
* This class represents an expression where a coefficient-wise ternary
* operator is applied to three expressions.
* It is the return type of ternary operators, by which we mean only those
* ternary operators where
* all three arguments are Eigen expressions.
* For example, the return type of betainc(matrix1, matrix2, matrix3) is a
* CwiseTernaryOp.
*
* Most of the time, this is the only way that it is used, so you typically
* don't have to name
* CwiseTernaryOp types explicitly.
*
* \sa MatrixBase::ternaryExpr(const MatrixBase<Argument2> &, const
* MatrixBase<Argument3> &, const CustomTernaryOp &) const, class CwiseBinaryOp,
* class CwiseUnaryOp, class CwiseNullaryOp
*/
template <typename TernaryOp, typename Arg1Type, typename Arg2Type,
typename Arg3Type>
class CwiseTernaryOp : public CwiseTernaryOpImpl<
TernaryOp, Arg1Type, Arg2Type, Arg3Type,
typename internal::traits<Arg1Type>::StorageKind>,
internal::no_assignment_operator
{
public:
typedef typename internal::remove_all<Arg1Type>::type Arg1;
typedef typename internal::remove_all<Arg2Type>::type Arg2;
typedef typename internal::remove_all<Arg3Type>::type Arg3;
typedef typename CwiseTernaryOpImpl<
TernaryOp, Arg1Type, Arg2Type, Arg3Type,
typename internal::traits<Arg1Type>::StorageKind>::Base Base;
EIGEN_GENERIC_PUBLIC_INTERFACE(CwiseTernaryOp)
typedef typename internal::ref_selector<Arg1Type>::type Arg1Nested;
typedef typename internal::ref_selector<Arg2Type>::type Arg2Nested;
typedef typename internal::ref_selector<Arg3Type>::type Arg3Nested;
typedef typename internal::remove_reference<Arg1Nested>::type _Arg1Nested;
typedef typename internal::remove_reference<Arg2Nested>::type _Arg2Nested;
typedef typename internal::remove_reference<Arg3Nested>::type _Arg3Nested;
EIGEN_DEVICE_FUNC
EIGEN_STRONG_INLINE CwiseTernaryOp(const Arg1& a1, const Arg2& a2,
const Arg3& a3,
const TernaryOp& func = TernaryOp())
: m_arg1(a1), m_arg2(a2), m_arg3(a3), m_functor(func) {
// require the sizes to match
EIGEN_STATIC_ASSERT_SAME_MATRIX_SIZE(Arg1, Arg2)
EIGEN_STATIC_ASSERT_SAME_MATRIX_SIZE(Arg1, Arg3)
// The index types should match
EIGEN_STATIC_ASSERT((internal::is_same<
typename internal::traits<Arg1Type>::StorageKind,
typename internal::traits<Arg2Type>::StorageKind>::value),
STORAGE_KIND_MUST_MATCH)
EIGEN_STATIC_ASSERT((internal::is_same<
typename internal::traits<Arg1Type>::StorageKind,
typename internal::traits<Arg3Type>::StorageKind>::value),
STORAGE_KIND_MUST_MATCH)
eigen_assert(a1.rows() == a2.rows() && a1.cols() == a2.cols() &&
a1.rows() == a3.rows() && a1.cols() == a3.cols());
}
EIGEN_DEVICE_FUNC
EIGEN_STRONG_INLINE Index rows() const {
// return the fixed size type if available to enable compile time
// optimizations
if (internal::traits<typename internal::remove_all<Arg1Nested>::type>::
RowsAtCompileTime == Dynamic &&
internal::traits<typename internal::remove_all<Arg2Nested>::type>::
RowsAtCompileTime == Dynamic)
return m_arg3.rows();
else if (internal::traits<typename internal::remove_all<Arg1Nested>::type>::
RowsAtCompileTime == Dynamic &&
internal::traits<typename internal::remove_all<Arg3Nested>::type>::
RowsAtCompileTime == Dynamic)
return m_arg2.rows();
else
return m_arg1.rows();
}
EIGEN_DEVICE_FUNC
EIGEN_STRONG_INLINE Index cols() const {
// return the fixed size type if available to enable compile time
// optimizations
if (internal::traits<typename internal::remove_all<Arg1Nested>::type>::
ColsAtCompileTime == Dynamic &&
internal::traits<typename internal::remove_all<Arg2Nested>::type>::
ColsAtCompileTime == Dynamic)
return m_arg3.cols();
else if (internal::traits<typename internal::remove_all<Arg1Nested>::type>::
ColsAtCompileTime == Dynamic &&
internal::traits<typename internal::remove_all<Arg3Nested>::type>::
ColsAtCompileTime == Dynamic)
return m_arg2.cols();
else
return m_arg1.cols();
}
/** \returns the first argument nested expression */
EIGEN_DEVICE_FUNC
const _Arg1Nested& arg1() const { return m_arg1; }
/** \returns the first argument nested expression */
EIGEN_DEVICE_FUNC
const _Arg2Nested& arg2() const { return m_arg2; }
/** \returns the third argument nested expression */
EIGEN_DEVICE_FUNC
const _Arg3Nested& arg3() const { return m_arg3; }
/** \returns the functor representing the ternary operation */
EIGEN_DEVICE_FUNC
const TernaryOp& functor() const { return m_functor; }
protected:
Arg1Nested m_arg1;
Arg2Nested m_arg2;
Arg3Nested m_arg3;
const TernaryOp m_functor;
};
// Generic API dispatcher
template <typename TernaryOp, typename Arg1, typename Arg2, typename Arg3,
typename StorageKind>
class CwiseTernaryOpImpl
: public internal::generic_xpr_base<
CwiseTernaryOp<TernaryOp, Arg1, Arg2, Arg3> >::type {
public:
typedef typename internal::generic_xpr_base<
CwiseTernaryOp<TernaryOp, Arg1, Arg2, Arg3> >::type Base;
};
} // end namespace Eigen
#endif // EIGEN_CWISE_TERNARY_OP_H

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