diff --git a/4neuro/.cproject b/4neuro/.cproject
deleted file mode 100644
index a995be1047e394640650b8ee2f81f3f8f5ac3d12..0000000000000000000000000000000000000000
--- a/4neuro/.cproject
+++ /dev/null
@@ -1,113 +0,0 @@
-<?xml version="1.0" encoding="UTF-8" standalone="no"?>
-<?fileVersion 4.0.0?><cproject storage_type_id="org.eclipse.cdt.core.XmlProjectDescriptionStorage">
- <storageModule moduleId="org.eclipse.cdt.core.settings">
- <cconfiguration id="photran.managedbuild.config.gnu.fortran.win32.exe.debug.338229552">
- <storageModule buildSystemId="org.eclipse.cdt.managedbuilder.core.configurationDataProvider" id="photran.managedbuild.config.gnu.fortran.win32.exe.debug.338229552" moduleId="org.eclipse.cdt.core.settings" name="Debug">
- <externalSettings/>
- <extensions>
- <extension id="org.eclipse.cdt.core.PE" point="org.eclipse.cdt.core.BinaryParser"/>
- <extension id="org.eclipse.cdt.core.Cygwin_PE" point="org.eclipse.cdt.core.BinaryParser"/>
- <extension id="org.eclipse.cdt.core.GNU_ELF" point="org.eclipse.cdt.core.BinaryParser"/>
- <extension id="org.eclipse.cdt.core.GASErrorParser" point="org.eclipse.cdt.core.ErrorParser"/>
- <extension id="org.eclipse.cdt.core.GmakeErrorParser" point="org.eclipse.cdt.core.ErrorParser"/>
- <extension id="org.eclipse.cdt.core.GLDErrorParser" point="org.eclipse.cdt.core.ErrorParser"/>
- <extension id="org.eclipse.photran.core.GFortranErrorParser" point="org.eclipse.cdt.core.ErrorParser"/>
- <extension id="org.eclipse.cdt.core.GCCErrorParser" point="org.eclipse.cdt.core.ErrorParser"/>
- </extensions>
- </storageModule>
- <storageModule moduleId="cdtBuildSystem" version="4.0.0">
- <configuration artifactName="${ProjName}" buildProperties="" cleanCommand="rm -rf" description="" errorParsers="org.eclipse.photran.core.GFortranErrorParser;org.eclipse.cdt.core.GCCErrorParser;org.eclipse.cdt.core.GLDErrorParser;org.eclipse.cdt.core.GASErrorParser;org.eclipse.cdt.core.GmakeErrorParser" id="photran.managedbuild.config.gnu.fortran.win32.exe.debug.338229552" name="Debug" parent="photran.managedbuild.config.gnu.fortran.win32.exe.debug">
- <folderInfo id="photran.managedbuild.config.gnu.fortran.win32.exe.debug.338229552." name="/" resourcePath="">
- <toolChain id="photran.managedbuild.toolchain.gnu.fortran.win32.exe.debug.609204123" name="GCC Fortran" nonInternalBuilderId="photran.managedbuild.target.gnu.builder.win32.exe.debug" superClass="photran.managedbuild.toolchain.gnu.fortran.win32.exe.debug">
- <targetPlatform archList="all" binaryParser="org.eclipse.cdt.core.PE;org.eclipse.cdt.core.Cygwin_PE;org.eclipse.cdt.core.GNU_ELF" id="photran.managedbuild.target.gnu.platform.win32.exe.debug.1367946370" name="Debug Platform" osList="win32" superClass="photran.managedbuild.target.gnu.platform.win32.exe.debug"/>
- <builder autoBuildTarget="all" buildPath="${workspace_loc:/4neuro}/Debug" cleanBuildTarget="clean" command="./build.sh" id="org.eclipse.cdt.build.core.internal.builder.1589687311" incrementalBuildTarget="all" keepEnvironmentInBuildfile="false" managedBuildOn="true" name="CDT Internal Builder" superClass="org.eclipse.cdt.build.core.internal.builder"/>
- <tool id="photran.managedbuild.tool.gnu.c.compiler.win32.exe.debug.778780997" name="GCC C Compiler" superClass="photran.managedbuild.tool.gnu.c.compiler.win32.exe.debug">
- <inputType id="cdt.managedbuild.tool.gnu.c.compiler.input.2016360279" superClass="cdt.managedbuild.tool.gnu.c.compiler.input"/>
- </tool>
- <tool id="photran.managedbuild.tool.gnu.fortran.compiler.win32.exe.debug.1743211871" name="GNU Fortran Compiler" superClass="photran.managedbuild.tool.gnu.fortran.compiler.win32.exe.debug">
- <option id="gnu.fortran.compiler.option.include.paths.769321882" name="Include paths (-I)" superClass="gnu.fortran.compiler.option.include.paths" useByScannerDiscovery="false" valueType="includePath">
- <listOptionValue builtIn="false" value=""C:\msys64\mingw32\bin""/>
- </option>
- <inputType id="photran.managedbuild.tool.gnu.fortran.compiler.input.2145534976" superClass="photran.managedbuild.tool.gnu.fortran.compiler.input"/>
- </tool>
- <tool id="photran.managedbuild.tool.gnu.fortran.linker.win32.exe.debug.437267444" name="GNU Fortran Linker" superClass="photran.managedbuild.tool.gnu.fortran.linker.win32.exe.debug">
- <inputType id="photran.managedbuild.tool.gnu.fortran.linker.input.1813142317" superClass="photran.managedbuild.tool.gnu.fortran.linker.input">
- <additionalInput kind="additionalinputdependency" paths="$(USER_OBJS)"/>
- <additionalInput kind="additionalinput" paths="$(LIBS)"/>
- </inputType>
- </tool>
- <tool id="photran.managedbuild.tool.gnu.assembler.win32.exe.debug.432119483" name="GCC Assembler" superClass="photran.managedbuild.tool.gnu.assembler.win32.exe.debug">
- <inputType id="cdt.managedbuild.tool.gnu.assembler.input.1934367141" superClass="cdt.managedbuild.tool.gnu.assembler.input"/>
- </tool>
- </toolChain>
- </folderInfo>
- </configuration>
- </storageModule>
- <storageModule moduleId="org.eclipse.cdt.core.externalSettings"/>
- </cconfiguration>
- <cconfiguration id="photran.managedbuild.config.gnu.fortran.win32.exe.release.1957908145">
- <storageModule buildSystemId="org.eclipse.cdt.managedbuilder.core.configurationDataProvider" id="photran.managedbuild.config.gnu.fortran.win32.exe.release.1957908145" moduleId="org.eclipse.cdt.core.settings" name="Release">
- <externalSettings/>
- <extensions>
- <extension id="org.eclipse.cdt.core.PE" point="org.eclipse.cdt.core.BinaryParser"/>
- <extension id="org.eclipse.cdt.core.Cygwin_PE" point="org.eclipse.cdt.core.BinaryParser"/>
- <extension id="org.eclipse.cdt.core.GNU_ELF" point="org.eclipse.cdt.core.BinaryParser"/>
- <extension id="org.eclipse.cdt.core.GASErrorParser" point="org.eclipse.cdt.core.ErrorParser"/>
- <extension id="org.eclipse.cdt.core.GmakeErrorParser" point="org.eclipse.cdt.core.ErrorParser"/>
- <extension id="org.eclipse.cdt.core.GLDErrorParser" point="org.eclipse.cdt.core.ErrorParser"/>
- <extension id="org.eclipse.photran.core.GFortranErrorParser" point="org.eclipse.cdt.core.ErrorParser"/>
- <extension id="org.eclipse.cdt.core.CWDLocator" point="org.eclipse.cdt.core.ErrorParser"/>
- <extension id="org.eclipse.cdt.core.GCCErrorParser" point="org.eclipse.cdt.core.ErrorParser"/>
- </extensions>
- </storageModule>
- <storageModule moduleId="cdtBuildSystem" version="4.0.0">
- <configuration artifactName="${ProjName}" buildProperties="" cleanCommand="rm -rf" description="" errorParsers="org.eclipse.photran.core.GFortranErrorParser;org.eclipse.cdt.core.GCCErrorParser;org.eclipse.cdt.core.GLDErrorParser;org.eclipse.cdt.core.GASErrorParser;org.eclipse.cdt.core.GmakeErrorParser" id="photran.managedbuild.config.gnu.fortran.win32.exe.release.1957908145" name="Release" parent="photran.managedbuild.config.gnu.fortran.win32.exe.release">
- <folderInfo id="photran.managedbuild.config.gnu.fortran.win32.exe.release.1957908145." name="/" resourcePath="">
- <toolChain id="photran.managedbuild.toolchain.gnu.fortran.win32.exe.release.1111724220" name="GCC Fortran" superClass="photran.managedbuild.toolchain.gnu.fortran.win32.exe.release">
- <targetPlatform archList="all" binaryParser="org.eclipse.cdt.core.PE;org.eclipse.cdt.core.Cygwin_PE;org.eclipse.cdt.core.GNU_ELF" id="photran.managedbuild.target.gnu.platform.fortran.win32.exe.release.1225476161" name="Release Platform" osList="win32" superClass="photran.managedbuild.target.gnu.platform.fortran.win32.exe.release"/>
- <builder buildPath="${workspace_loc:/4neuro}/Release" id="photran.managedbuild.target.gnu.builder.win32.exe.release.1043598058" keepEnvironmentInBuildfile="false" managedBuildOn="true" name="Gnu Make Builder" superClass="photran.managedbuild.target.gnu.builder.win32.exe.release"/>
- <tool id="photran.managedbuild.tool.gnu.c.compiler.win32.exe.release.1436794482" name="GCC C Compiler" superClass="photran.managedbuild.tool.gnu.c.compiler.win32.exe.release">
- <inputType id="cdt.managedbuild.tool.gnu.c.compiler.input.1856045908" superClass="cdt.managedbuild.tool.gnu.c.compiler.input"/>
- </tool>
- <tool id="photran.managedbuild.tool.gnu.fortran.compiler.win32.exe.release.1119644158" name="GNU Fortran Compiler" superClass="photran.managedbuild.tool.gnu.fortran.compiler.win32.exe.release">
- <inputType id="photran.managedbuild.tool.gnu.fortran.compiler.input.1812093560" superClass="photran.managedbuild.tool.gnu.fortran.compiler.input"/>
- </tool>
- <tool id="photran.managedbuild.tool.gnu.fortran.linker.win32.exe.release.1754062441" name="GNU Fortran Linker" superClass="photran.managedbuild.tool.gnu.fortran.linker.win32.exe.release">
- <inputType id="photran.managedbuild.tool.gnu.fortran.linker.input.197505219" superClass="photran.managedbuild.tool.gnu.fortran.linker.input">
- <additionalInput kind="additionalinputdependency" paths="$(USER_OBJS)"/>
- <additionalInput kind="additionalinput" paths="$(LIBS)"/>
- </inputType>
- </tool>
- <tool id="photran.managedbuild.tool.gnu.assembler.win32.exe.release.1039785129" name="GCC Assembler" superClass="photran.managedbuild.tool.gnu.assembler.win32.exe.release">
- <inputType id="cdt.managedbuild.tool.gnu.assembler.input.440312833" superClass="cdt.managedbuild.tool.gnu.assembler.input"/>
- </tool>
- </toolChain>
- </folderInfo>
- </configuration>
- </storageModule>
- <storageModule moduleId="org.eclipse.cdt.core.externalSettings"/>
- </cconfiguration>
- </storageModule>
- <storageModule moduleId="cdtBuildSystem" version="4.0.0">
- <project id="4neuro.photran.managedbuild.target.gnu.fortran.win32.exe.1809620819" name="Executable (Gnu Fortran on Windows)" projectType="photran.managedbuild.target.gnu.fortran.win32.exe"/>
- </storageModule>
- <storageModule moduleId="org.eclipse.cdt.core.LanguageSettingsProviders"/>
- <storageModule moduleId="refreshScope" versionNumber="2">
- <configuration configurationName="Debug">
- <resource resourceType="PROJECT" workspacePath="/4neuro"/>
- </configuration>
- <configuration configurationName="Release">
- <resource resourceType="PROJECT" workspacePath="/4neuro"/>
- </configuration>
- </storageModule>
- <storageModule moduleId="org.eclipse.cdt.make.core.buildtargets"/>
- <storageModule moduleId="scannerConfiguration">
- <autodiscovery enabled="true" problemReportingEnabled="true" selectedProfileId=""/>
- <scannerConfigBuildInfo instanceId="photran.managedbuild.config.gnu.fortran.win32.exe.debug.338229552;photran.managedbuild.config.gnu.fortran.win32.exe.debug.338229552.">
- <autodiscovery enabled="true" problemReportingEnabled="true" selectedProfileId="org.eclipse.cdt.managedbuilder.core.GCCManagedMakePerProjectProfile"/>
- </scannerConfigBuildInfo>
- <scannerConfigBuildInfo instanceId="photran.managedbuild.config.gnu.fortran.win32.exe.debug.338229552;photran.managedbuild.config.gnu.fortran.win32.exe.debug.338229552.;photran.managedbuild.tool.gnu.c.compiler.win32.exe.debug.778780997;cdt.managedbuild.tool.gnu.c.compiler.input.2016360279">
- <autodiscovery enabled="true" problemReportingEnabled="true" selectedProfileId="org.eclipse.cdt.managedbuilder.core.GCCManagedMakePerProjectProfileC"/>
- </scannerConfigBuildInfo>
- </storageModule>
-</cproject>
diff --git a/4neuro/.gitignore b/4neuro/.gitignore
deleted file mode 100644
index dd0dddc1c2851fab1d7fb5bfc61d4bb468846beb..0000000000000000000000000000000000000000
--- a/4neuro/.gitignore
+++ /dev/null
@@ -1,4 +0,0 @@
-*.o
-*.mod
-*.out
-/Debug/
diff --git a/4neuro/.gitlab-ci.yml b/4neuro/.gitlab-ci.yml
deleted file mode 100644
index 006e53da318d3fed15a85bc0787ffafc9a99aede..0000000000000000000000000000000000000000
--- a/4neuro/.gitlab-ci.yml
+++ /dev/null
@@ -1,9 +0,0 @@
-before_script:
- - apt-get update
- - apt-get install -y -qq make gfortran cmake gem
- - gem install funit
- - ./build.sh
-
-run_tests:
- script: "./run_tests.sh"
-
diff --git a/4neuro/.project b/4neuro/.project
deleted file mode 100644
index 8d80b12137fb9938a5f7cb161964bc0a6e39aacc..0000000000000000000000000000000000000000
--- a/4neuro/.project
+++ /dev/null
@@ -1,27 +0,0 @@
-<?xml version="1.0" encoding="UTF-8"?>
-<projectDescription>
- <name>4neuro</name>
- <comment></comment>
- <projects>
- </projects>
- <buildSpec>
- <buildCommand>
- <name>org.eclipse.cdt.managedbuilder.core.genmakebuilder</name>
- <triggers>clean,full,incremental,</triggers>
- <arguments>
- </arguments>
- </buildCommand>
- <buildCommand>
- <name>org.eclipse.cdt.managedbuilder.core.ScannerConfigBuilder</name>
- <triggers>full,incremental,</triggers>
- <arguments>
- </arguments>
- </buildCommand>
- </buildSpec>
- <natures>
- <nature>org.eclipse.photran.core.fnature</nature>
- <nature>org.eclipse.cdt.core.cnature</nature>
- <nature>org.eclipse.cdt.managedbuilder.core.managedBuildNature</nature>
- <nature>org.eclipse.cdt.managedbuilder.core.ScannerConfigNature</nature>
- </natures>
-</projectDescription>
diff --git a/4neuro/CMakeLists.txt b/4neuro/CMakeLists.txt
deleted file mode 100644
index ebdc7387d7094cbb2bcf05c929449bc37544e5f7..0000000000000000000000000000000000000000
--- a/4neuro/CMakeLists.txt
+++ /dev/null
@@ -1,65 +0,0 @@
-cmake_minimum_required(VERSION 3.0)
-project(4Neuro)
-enable_language(Fortran)
-
-#-------------------------------#
-# Default installation location #
-#-------------------------------#
-# Linux: /usr/local
-# Windows: C:/Users/Marti/OneDrive/Dokumenty/Fortran/git4Neuro/4NeuroMrovma/4Neuro/t
-
-#------------#
-# Build type #
-#------------#
-# Default: Release
-# Others: None, Debug
-if (NOT CMAKE_BUILD_TYPE)
- set (CMAKE_BUILD_TYPE RELEASE CACHE STRING
- "Choose the type of build, options are: None Debug Release."
- FORCE)
-endif (NOT CMAKE_BUILD_TYPE)
-
-#--------------------------------#
-# Setting Fortran compiler flags #
-#--------------------------------#
-# TODO overit, jak rychle jede kod s funroll-loops
-# funroll-all-loops a bez prepinace
-
-set(standard "-std=f2008")
-
-if (Fortran_COMPILER_NAME MATCHES "gfortran.*")
- # gfortran
- set (CMAKE_Fortran_FLAGS_RELEASE "-funroll-loops -fno-f2c -O3 ${standard}")
- set (CMAKE_Fortran_FLAGS_DEBUG "-fno-f2c -O0 -g ${standard}")
-elseif (Fortran_COMPILER_NAME MATCHES "ifort.*")
- # ifort (untested)
- set (CMAKE_Fortran_FLAGS_RELEASE "-f77rtl -O3 ${standard}")
- set (CMAKE_Fortran_FLAGS_DEBUG "-f77rtl -O0 -g ${standard}")
-elseif (Fortran_COMPILER_NAME MATCHES "g77")
- # g77
- set (CMAKE_Fortran_FLAGS_RELEASE "-funroll-loops -fno-f2c -O3 -m32 ${standard}")
- set (CMAKE_Fortran_FLAGS_DEBUG "-fno-f2c -O0 -g -m32 ${standard}")
-else (Fortran_COMPILER_NAME MATCHES "gfortran.*")
- message ("CMAKE_Fortran_COMPILER full path: " ${CMAKE_Fortran_COMPILER})
- message ("Fortran compiler: " ${Fortran_COMPILER_NAME})
- message ("No optimized Fortran compiler flags are known, we just try -O2...")
- set (CMAKE_Fortran_FLAGS_RELEASE "-O2 ${standard}")
- set (CMAKE_Fortran_FLAGS_DEBUG "-O0 -g ${standard}")
-endif (Fortran_COMPILER_NAME MATCHES "gfortran.*")
-
-#----------------#
-# User variables #
-#----------------#
-set(SRC_DIR src)
-set(BUILD_DIR build)
-set(LIB_DIR lib)
-
-#--------------------#
-# Building libraries #
-#--------------------#
-link_directories("${LIB_DIR}")
-include_directories("${BUILD_DIR}/${LIB_DIR}")
-add_subdirectory("${SRC_DIR}" "${LIB_DIR}")
-
-add_executable(connection_test.out ${SRC_DIR}/connection_test.f90)
-target_link_libraries(connection_test.out connection_m neuron_dummy_m)
diff --git a/4neuro/Doxyfile b/4neuro/Doxyfile
deleted file mode 100644
index 7f3029f6820d7ce44215a5c25b1e6cad60cdee85..0000000000000000000000000000000000000000
--- a/4neuro/Doxyfile
+++ /dev/null
@@ -1,2481 +0,0 @@
-# Doxyfile 1.8.14
-
-# This file describes the settings to be used by the documentation system
-# doxygen (www.doxygen.org) for a project.
-#
-# All text after a double hash (##) is considered a comment and is placed in
-# front of the TAG it is preceding.
-#
-# All text after a single hash (#) is considered a comment and will be ignored.
-# The format is:
-# TAG = value [value, ...]
-# For lists, items can also be appended using:
-# TAG += value [value, ...]
-# Values that contain spaces should be placed between quotes (\" \").
-
-#---------------------------------------------------------------------------
-# Project related configuration options
-#---------------------------------------------------------------------------
-
-# This tag specifies the encoding used for all characters in the config file
-# that follow. The default is UTF-8 which is also the encoding used for all text
-# before the first occurrence of this tag. Doxygen uses libiconv (or the iconv
-# built into libc) for the transcoding. See
-# https://www.gnu.org/software/libiconv/ for the list of possible encodings.
-# The default value is: UTF-8.
-
-DOXYFILE_ENCODING = UTF-8
-
-# The PROJECT_NAME tag is a single word (or a sequence of words surrounded by
-# double-quotes, unless you are using Doxywizard) that should identify the
-# project for which the documentation is generated. This name is used in the
-# title of most generated pages and in a few other places.
-# The default value is: My Project.
-
-PROJECT_NAME = "4Neuro"
-
-# The PROJECT_NUMBER tag can be used to enter a project or revision number. This
-# could be handy for archiving the generated documentation or if some version
-# control system is used.
-
-PROJECT_NUMBER =
-
-# Using the PROJECT_BRIEF tag one can provide an optional one line description
-# for a project that appears at the top of each page and should give viewer a
-# quick idea about the purpose of the project. Keep the description short.
-
-PROJECT_BRIEF = "Fortran neural networks library"
-
-# With the PROJECT_LOGO tag one can specify a logo or an icon that is included
-# in the documentation. The maximum height of the logo should not exceed 55
-# pixels and the maximum width should not exceed 200 pixels. Doxygen will copy
-# the logo to the output directory.
-
-PROJECT_LOGO = "img/4neuro_logo_small.png"
-
-# The OUTPUT_DIRECTORY tag is used to specify the (relative or absolute) path
-# into which the generated documentation will be written. If a relative path is
-# entered, it will be relative to the location where doxygen was started. If
-# left blank the current directory will be used.
-
-OUTPUT_DIRECTORY = "docs"
-
-# If the CREATE_SUBDIRS tag is set to YES then doxygen will create 4096 sub-
-# directories (in 2 levels) under the output directory of each output format and
-# will distribute the generated files over these directories. Enabling this
-# option can be useful when feeding doxygen a huge amount of source files, where
-# putting all generated files in the same directory would otherwise causes
-# performance problems for the file system.
-# The default value is: NO.
-
-CREATE_SUBDIRS = NO
-
-# If the ALLOW_UNICODE_NAMES tag is set to YES, doxygen will allow non-ASCII
-# characters to appear in the names of generated files. If set to NO, non-ASCII
-# characters will be escaped, for example _xE3_x81_x84 will be used for Unicode
-# U+3044.
-# The default value is: NO.
-
-ALLOW_UNICODE_NAMES = NO
-
-# The OUTPUT_LANGUAGE tag is used to specify the language in which all
-# documentation generated by doxygen is written. Doxygen will use this
-# information to generate all constant output in the proper language.
-# Possible values are: Afrikaans, Arabic, Armenian, Brazilian, Catalan, Chinese,
-# Chinese-Traditional, Croatian, Czech, Danish, Dutch, English (United States),
-# Esperanto, Farsi (Persian), Finnish, French, German, Greek, Hungarian,
-# Indonesian, Italian, Japanese, Japanese-en (Japanese with English messages),
-# Korean, Korean-en (Korean with English messages), Latvian, Lithuanian,
-# Macedonian, Norwegian, Persian (Farsi), Polish, Portuguese, Romanian, Russian,
-# Serbian, Serbian-Cyrillic, Slovak, Slovene, Spanish, Swedish, Turkish,
-# Ukrainian and Vietnamese.
-# The default value is: English.
-
-OUTPUT_LANGUAGE = English
-
-# If the BRIEF_MEMBER_DESC tag is set to YES, doxygen will include brief member
-# descriptions after the members that are listed in the file and class
-# documentation (similar to Javadoc). Set to NO to disable this.
-# The default value is: YES.
-
-BRIEF_MEMBER_DESC = YES
-
-# If the REPEAT_BRIEF tag is set to YES, doxygen will prepend the brief
-# description of a member or function before the detailed description
-#
-# Note: If both HIDE_UNDOC_MEMBERS and BRIEF_MEMBER_DESC are set to NO, the
-# brief descriptions will be completely suppressed.
-# The default value is: YES.
-
-REPEAT_BRIEF = YES
-
-# This tag implements a quasi-intelligent brief description abbreviator that is
-# used to form the text in various listings. Each string in this list, if found
-# as the leading text of the brief description, will be stripped from the text
-# and the result, after processing the whole list, is used as the annotated
-# text. Otherwise, the brief description is used as-is. If left blank, the
-# following values are used ($name is automatically replaced with the name of
-# the entity):The $name class, The $name widget, The $name file, is, provides,
-# specifies, contains, represents, a, an and the.
-
-ABBREVIATE_BRIEF = "The $name class" \
- "The $name widget" \
- "The $name file" \
- is \
- provides \
- specifies \
- contains \
- represents \
- a \
- an \
- the
-
-# If the ALWAYS_DETAILED_SEC and REPEAT_BRIEF tags are both set to YES then
-# doxygen will generate a detailed section even if there is only a brief
-# description.
-# The default value is: NO.
-
-ALWAYS_DETAILED_SEC = NO
-
-# If the INLINE_INHERITED_MEMB tag is set to YES, doxygen will show all
-# inherited members of a class in the documentation of that class as if those
-# members were ordinary class members. Constructors, destructors and assignment
-# operators of the base classes will not be shown.
-# The default value is: NO.
-
-INLINE_INHERITED_MEMB = NO
-
-# If the FULL_PATH_NAMES tag is set to YES, doxygen will prepend the full path
-# before files name in the file list and in the header files. If set to NO the
-# shortest path that makes the file name unique will be used
-# The default value is: YES.
-
-FULL_PATH_NAMES = YES
-
-# The STRIP_FROM_PATH tag can be used to strip a user-defined part of the path.
-# Stripping is only done if one of the specified strings matches the left-hand
-# part of the path. The tag can be used to show relative paths in the file list.
-# If left blank the directory from which doxygen is run is used as the path to
-# strip.
-#
-# Note that you can specify absolute paths here, but also relative paths, which
-# will be relative from the directory where doxygen is started.
-# This tag requires that the tag FULL_PATH_NAMES is set to YES.
-
-STRIP_FROM_PATH =
-
-# The STRIP_FROM_INC_PATH tag can be used to strip a user-defined part of the
-# path mentioned in the documentation of a class, which tells the reader which
-# header file to include in order to use a class. If left blank only the name of
-# the header file containing the class definition is used. Otherwise one should
-# specify the list of include paths that are normally passed to the compiler
-# using the -I flag.
-
-STRIP_FROM_INC_PATH =
-
-# If the SHORT_NAMES tag is set to YES, doxygen will generate much shorter (but
-# less readable) file names. This can be useful is your file systems doesn't
-# support long names like on DOS, Mac, or CD-ROM.
-# The default value is: NO.
-
-SHORT_NAMES = NO
-
-# If the JAVADOC_AUTOBRIEF tag is set to YES then doxygen will interpret the
-# first line (until the first dot) of a Javadoc-style comment as the brief
-# description. If set to NO, the Javadoc-style will behave just like regular Qt-
-# style comments (thus requiring an explicit @brief command for a brief
-# description.)
-# The default value is: NO.
-
-JAVADOC_AUTOBRIEF = NO
-
-# If the QT_AUTOBRIEF tag is set to YES then doxygen will interpret the first
-# line (until the first dot) of a Qt-style comment as the brief description. If
-# set to NO, the Qt-style will behave just like regular Qt-style comments (thus
-# requiring an explicit \brief command for a brief description.)
-# The default value is: NO.
-
-QT_AUTOBRIEF = NO
-
-# The MULTILINE_CPP_IS_BRIEF tag can be set to YES to make doxygen treat a
-# multi-line C++ special comment block (i.e. a block of //! or /// comments) as
-# a brief description. This used to be the default behavior. The new default is
-# to treat a multi-line C++ comment block as a detailed description. Set this
-# tag to YES if you prefer the old behavior instead.
-#
-# Note that setting this tag to YES also means that rational rose comments are
-# not recognized any more.
-# The default value is: NO.
-
-MULTILINE_CPP_IS_BRIEF = NO
-
-# If the INHERIT_DOCS tag is set to YES then an undocumented member inherits the
-# documentation from any documented member that it re-implements.
-# The default value is: YES.
-
-INHERIT_DOCS = YES
-
-# If the SEPARATE_MEMBER_PAGES tag is set to YES then doxygen will produce a new
-# page for each member. If set to NO, the documentation of a member will be part
-# of the file/class/namespace that contains it.
-# The default value is: NO.
-
-SEPARATE_MEMBER_PAGES = NO
-
-# The TAB_SIZE tag can be used to set the number of spaces in a tab. Doxygen
-# uses this value to replace tabs by spaces in code fragments.
-# Minimum value: 1, maximum value: 16, default value: 4.
-
-TAB_SIZE = 4
-
-# This tag can be used to specify a number of aliases that act as commands in
-# the documentation. An alias has the form:
-# name=value
-# For example adding
-# "sideeffect=@par Side Effects:\n"
-# will allow you to put the command \sideeffect (or @sideeffect) in the
-# documentation, which will result in a user-defined paragraph with heading
-# "Side Effects:". You can put \n's in the value part of an alias to insert
-# newlines.
-
-ALIASES =
-
-# This tag can be used to specify a number of word-keyword mappings (TCL only).
-# A mapping has the form "name=value". For example adding "class=itcl::class"
-# will allow you to use the command class in the itcl::class meaning.
-
-TCL_SUBST =
-
-# Set the OPTIMIZE_OUTPUT_FOR_C tag to YES if your project consists of C sources
-# only. Doxygen will then generate output that is more tailored for C. For
-# instance, some of the names that are used will be different. The list of all
-# members will be omitted, etc.
-# The default value is: NO.
-
-OPTIMIZE_OUTPUT_FOR_C = NO
-
-# Set the OPTIMIZE_OUTPUT_JAVA tag to YES if your project consists of Java or
-# Python sources only. Doxygen will then generate output that is more tailored
-# for that language. For instance, namespaces will be presented as packages,
-# qualified scopes will look different, etc.
-# The default value is: NO.
-
-OPTIMIZE_OUTPUT_JAVA = NO
-
-# Set the OPTIMIZE_FOR_FORTRAN tag to YES if your project consists of Fortran
-# sources. Doxygen will then generate output that is tailored for Fortran.
-# The default value is: NO.
-
-OPTIMIZE_FOR_FORTRAN = YES
-
-# Set the OPTIMIZE_OUTPUT_VHDL tag to YES if your project consists of VHDL
-# sources. Doxygen will then generate output that is tailored for VHDL.
-# The default value is: NO.
-
-OPTIMIZE_OUTPUT_VHDL = NO
-
-# Doxygen selects the parser to use depending on the extension of the files it
-# parses. With this tag you can assign which parser to use for a given
-# extension. Doxygen has a built-in mapping, but you can override or extend it
-# using this tag. The format is ext=language, where ext is a file extension, and
-# language is one of the parsers supported by doxygen: IDL, Java, Javascript,
-# C#, C, C++, D, PHP, Objective-C, Python, Fortran (fixed format Fortran:
-# FortranFixed, free formatted Fortran: FortranFree, unknown formatted Fortran:
-# Fortran. In the later case the parser tries to guess whether the code is fixed
-# or free formatted code, this is the default for Fortran type files), VHDL. For
-# instance to make doxygen treat .inc files as Fortran files (default is PHP),
-# and .f files as C (default is Fortran), use: inc=Fortran f=C.
-#
-# Note: For files without extension you can use no_extension as a placeholder.
-#
-# Note that for custom extensions you also need to set FILE_PATTERNS otherwise
-# the files are not read by doxygen.
-
-EXTENSION_MAPPING = f03=FortranFree f08=FortranFree
-
-# If the MARKDOWN_SUPPORT tag is enabled then doxygen pre-processes all comments
-# according to the Markdown format, which allows for more readable
-# documentation. See http://daringfireball.net/projects/markdown/ for details.
-# The output of markdown processing is further processed by doxygen, so you can
-# mix doxygen, HTML, and XML commands with Markdown formatting. Disable only in
-# case of backward compatibilities issues.
-# The default value is: YES.
-
-MARKDOWN_SUPPORT = YES
-
-# When the TOC_INCLUDE_HEADINGS tag is set to a non-zero value, all headings up
-# to that level are automatically included in the table of contents, even if
-# they do not have an id attribute.
-# Note: This feature currently applies only to Markdown headings.
-# Minimum value: 0, maximum value: 99, default value: 0.
-# This tag requires that the tag MARKDOWN_SUPPORT is set to YES.
-
-TOC_INCLUDE_HEADINGS = 0
-
-# When enabled doxygen tries to link words that correspond to documented
-# classes, or namespaces to their corresponding documentation. Such a link can
-# be prevented in individual cases by putting a % sign in front of the word or
-# globally by setting AUTOLINK_SUPPORT to NO.
-# The default value is: YES.
-
-AUTOLINK_SUPPORT = YES
-
-# If you use STL classes (i.e. std::string, std::vector, etc.) but do not want
-# to include (a tag file for) the STL sources as input, then you should set this
-# tag to YES in order to let doxygen match functions declarations and
-# definitions whose arguments contain STL classes (e.g. func(std::string);
-# versus func(std::string) {}). This also make the inheritance and collaboration
-# diagrams that involve STL classes more complete and accurate.
-# The default value is: NO.
-
-BUILTIN_STL_SUPPORT = NO
-
-# If you use Microsoft's C++/CLI language, you should set this option to YES to
-# enable parsing support.
-# The default value is: NO.
-
-CPP_CLI_SUPPORT = NO
-
-# Set the SIP_SUPPORT tag to YES if your project consists of sip (see:
-# https://www.riverbankcomputing.com/software/sip/intro) sources only. Doxygen
-# will parse them like normal C++ but will assume all classes use public instead
-# of private inheritance when no explicit protection keyword is present.
-# The default value is: NO.
-
-SIP_SUPPORT = NO
-
-# For Microsoft's IDL there are propget and propput attributes to indicate
-# getter and setter methods for a property. Setting this option to YES will make
-# doxygen to replace the get and set methods by a property in the documentation.
-# This will only work if the methods are indeed getting or setting a simple
-# type. If this is not the case, or you want to show the methods anyway, you
-# should set this option to NO.
-# The default value is: YES.
-
-IDL_PROPERTY_SUPPORT = YES
-
-# If member grouping is used in the documentation and the DISTRIBUTE_GROUP_DOC
-# tag is set to YES then doxygen will reuse the documentation of the first
-# member in the group (if any) for the other members of the group. By default
-# all members of a group must be documented explicitly.
-# The default value is: NO.
-
-DISTRIBUTE_GROUP_DOC = NO
-
-# If one adds a struct or class to a group and this option is enabled, then also
-# any nested class or struct is added to the same group. By default this option
-# is disabled and one has to add nested compounds explicitly via \ingroup.
-# The default value is: NO.
-
-GROUP_NESTED_COMPOUNDS = NO
-
-# Set the SUBGROUPING tag to YES to allow class member groups of the same type
-# (for instance a group of public functions) to be put as a subgroup of that
-# type (e.g. under the Public Functions section). Set it to NO to prevent
-# subgrouping. Alternatively, this can be done per class using the
-# \nosubgrouping command.
-# The default value is: YES.
-
-SUBGROUPING = YES
-
-# When the INLINE_GROUPED_CLASSES tag is set to YES, classes, structs and unions
-# are shown inside the group in which they are included (e.g. using \ingroup)
-# instead of on a separate page (for HTML and Man pages) or section (for LaTeX
-# and RTF).
-#
-# Note that this feature does not work in combination with
-# SEPARATE_MEMBER_PAGES.
-# The default value is: NO.
-
-INLINE_GROUPED_CLASSES = NO
-
-# When the INLINE_SIMPLE_STRUCTS tag is set to YES, structs, classes, and unions
-# with only public data fields or simple typedef fields will be shown inline in
-# the documentation of the scope in which they are defined (i.e. file,
-# namespace, or group documentation), provided this scope is documented. If set
-# to NO, structs, classes, and unions are shown on a separate page (for HTML and
-# Man pages) or section (for LaTeX and RTF).
-# The default value is: NO.
-
-INLINE_SIMPLE_STRUCTS = NO
-
-# When TYPEDEF_HIDES_STRUCT tag is enabled, a typedef of a struct, union, or
-# enum is documented as struct, union, or enum with the name of the typedef. So
-# typedef struct TypeS {} TypeT, will appear in the documentation as a struct
-# with name TypeT. When disabled the typedef will appear as a member of a file,
-# namespace, or class. And the struct will be named TypeS. This can typically be
-# useful for C code in case the coding convention dictates that all compound
-# types are typedef'ed and only the typedef is referenced, never the tag name.
-# The default value is: NO.
-
-TYPEDEF_HIDES_STRUCT = NO
-
-# The size of the symbol lookup cache can be set using LOOKUP_CACHE_SIZE. This
-# cache is used to resolve symbols given their name and scope. Since this can be
-# an expensive process and often the same symbol appears multiple times in the
-# code, doxygen keeps a cache of pre-resolved symbols. If the cache is too small
-# doxygen will become slower. If the cache is too large, memory is wasted. The
-# cache size is given by this formula: 2^(16+LOOKUP_CACHE_SIZE). The valid range
-# is 0..9, the default is 0, corresponding to a cache size of 2^16=65536
-# symbols. At the end of a run doxygen will report the cache usage and suggest
-# the optimal cache size from a speed point of view.
-# Minimum value: 0, maximum value: 9, default value: 0.
-
-LOOKUP_CACHE_SIZE = 0
-
-#---------------------------------------------------------------------------
-# Build related configuration options
-#---------------------------------------------------------------------------
-
-# If the EXTRACT_ALL tag is set to YES, doxygen will assume all entities in
-# documentation are documented, even if no documentation was available. Private
-# class members and static file members will be hidden unless the
-# EXTRACT_PRIVATE respectively EXTRACT_STATIC tags are set to YES.
-# Note: This will also disable the warnings about undocumented members that are
-# normally produced when WARNINGS is set to YES.
-# The default value is: NO.
-
-EXTRACT_ALL = NO
-
-# If the EXTRACT_PRIVATE tag is set to YES, all private members of a class will
-# be included in the documentation.
-# The default value is: NO.
-
-EXTRACT_PRIVATE = NO
-
-# If the EXTRACT_PACKAGE tag is set to YES, all members with package or internal
-# scope will be included in the documentation.
-# The default value is: NO.
-
-EXTRACT_PACKAGE = NO
-
-# If the EXTRACT_STATIC tag is set to YES, all static members of a file will be
-# included in the documentation.
-# The default value is: NO.
-
-EXTRACT_STATIC = NO
-
-# If the EXTRACT_LOCAL_CLASSES tag is set to YES, classes (and structs) defined
-# locally in source files will be included in the documentation. If set to NO,
-# only classes defined in header files are included. Does not have any effect
-# for Java sources.
-# The default value is: YES.
-
-EXTRACT_LOCAL_CLASSES = YES
-
-# This flag is only useful for Objective-C code. If set to YES, local methods,
-# which are defined in the implementation section but not in the interface are
-# included in the documentation. If set to NO, only methods in the interface are
-# included.
-# The default value is: NO.
-
-EXTRACT_LOCAL_METHODS = NO
-
-# If this flag is set to YES, the members of anonymous namespaces will be
-# extracted and appear in the documentation as a namespace called
-# 'anonymous_namespace{file}', where file will be replaced with the base name of
-# the file that contains the anonymous namespace. By default anonymous namespace
-# are hidden.
-# The default value is: NO.
-
-EXTRACT_ANON_NSPACES = NO
-
-# If the HIDE_UNDOC_MEMBERS tag is set to YES, doxygen will hide all
-# undocumented members inside documented classes or files. If set to NO these
-# members will be included in the various overviews, but no documentation
-# section is generated. This option has no effect if EXTRACT_ALL is enabled.
-# The default value is: NO.
-
-HIDE_UNDOC_MEMBERS = NO
-
-# If the HIDE_UNDOC_CLASSES tag is set to YES, doxygen will hide all
-# undocumented classes that are normally visible in the class hierarchy. If set
-# to NO, these classes will be included in the various overviews. This option
-# has no effect if EXTRACT_ALL is enabled.
-# The default value is: NO.
-
-HIDE_UNDOC_CLASSES = NO
-
-# If the HIDE_FRIEND_COMPOUNDS tag is set to YES, doxygen will hide all friend
-# (class|struct|union) declarations. If set to NO, these declarations will be
-# included in the documentation.
-# The default value is: NO.
-
-HIDE_FRIEND_COMPOUNDS = NO
-
-# If the HIDE_IN_BODY_DOCS tag is set to YES, doxygen will hide any
-# documentation blocks found inside the body of a function. If set to NO, these
-# blocks will be appended to the function's detailed documentation block.
-# The default value is: NO.
-
-HIDE_IN_BODY_DOCS = NO
-
-# The INTERNAL_DOCS tag determines if documentation that is typed after a
-# \internal command is included. If the tag is set to NO then the documentation
-# will be excluded. Set it to YES to include the internal documentation.
-# The default value is: NO.
-
-INTERNAL_DOCS = NO
-
-# If the CASE_SENSE_NAMES tag is set to NO then doxygen will only generate file
-# names in lower-case letters. If set to YES, upper-case letters are also
-# allowed. This is useful if you have classes or files whose names only differ
-# in case and if your file system supports case sensitive file names. Windows
-# and Mac users are advised to set this option to NO.
-# The default value is: system dependent.
-
-CASE_SENSE_NAMES = YES
-
-# If the HIDE_SCOPE_NAMES tag is set to NO then doxygen will show members with
-# their full class and namespace scopes in the documentation. If set to YES, the
-# scope will be hidden.
-# The default value is: NO.
-
-HIDE_SCOPE_NAMES = NO
-
-# If the HIDE_COMPOUND_REFERENCE tag is set to NO (default) then doxygen will
-# append additional text to a page's title, such as Class Reference. If set to
-# YES the compound reference will be hidden.
-# The default value is: NO.
-
-HIDE_COMPOUND_REFERENCE= NO
-
-# If the SHOW_INCLUDE_FILES tag is set to YES then doxygen will put a list of
-# the files that are included by a file in the documentation of that file.
-# The default value is: YES.
-
-SHOW_INCLUDE_FILES = YES
-
-# If the SHOW_GROUPED_MEMB_INC tag is set to YES then Doxygen will add for each
-# grouped member an include statement to the documentation, telling the reader
-# which file to include in order to use the member.
-# The default value is: NO.
-
-SHOW_GROUPED_MEMB_INC = NO
-
-# If the FORCE_LOCAL_INCLUDES tag is set to YES then doxygen will list include
-# files with double quotes in the documentation rather than with sharp brackets.
-# The default value is: NO.
-
-FORCE_LOCAL_INCLUDES = NO
-
-# If the INLINE_INFO tag is set to YES then a tag [inline] is inserted in the
-# documentation for inline members.
-# The default value is: YES.
-
-INLINE_INFO = YES
-
-# If the SORT_MEMBER_DOCS tag is set to YES then doxygen will sort the
-# (detailed) documentation of file and class members alphabetically by member
-# name. If set to NO, the members will appear in declaration order.
-# The default value is: YES.
-
-SORT_MEMBER_DOCS = YES
-
-# If the SORT_BRIEF_DOCS tag is set to YES then doxygen will sort the brief
-# descriptions of file, namespace and class members alphabetically by member
-# name. If set to NO, the members will appear in declaration order. Note that
-# this will also influence the order of the classes in the class list.
-# The default value is: NO.
-
-SORT_BRIEF_DOCS = NO
-
-# If the SORT_MEMBERS_CTORS_1ST tag is set to YES then doxygen will sort the
-# (brief and detailed) documentation of class members so that constructors and
-# destructors are listed first. If set to NO the constructors will appear in the
-# respective orders defined by SORT_BRIEF_DOCS and SORT_MEMBER_DOCS.
-# Note: If SORT_BRIEF_DOCS is set to NO this option is ignored for sorting brief
-# member documentation.
-# Note: If SORT_MEMBER_DOCS is set to NO this option is ignored for sorting
-# detailed member documentation.
-# The default value is: NO.
-
-SORT_MEMBERS_CTORS_1ST = NO
-
-# If the SORT_GROUP_NAMES tag is set to YES then doxygen will sort the hierarchy
-# of group names into alphabetical order. If set to NO the group names will
-# appear in their defined order.
-# The default value is: NO.
-
-SORT_GROUP_NAMES = NO
-
-# If the SORT_BY_SCOPE_NAME tag is set to YES, the class list will be sorted by
-# fully-qualified names, including namespaces. If set to NO, the class list will
-# be sorted only by class name, not including the namespace part.
-# Note: This option is not very useful if HIDE_SCOPE_NAMES is set to YES.
-# Note: This option applies only to the class list, not to the alphabetical
-# list.
-# The default value is: NO.
-
-SORT_BY_SCOPE_NAME = NO
-
-# If the STRICT_PROTO_MATCHING option is enabled and doxygen fails to do proper
-# type resolution of all parameters of a function it will reject a match between
-# the prototype and the implementation of a member function even if there is
-# only one candidate or it is obvious which candidate to choose by doing a
-# simple string match. By disabling STRICT_PROTO_MATCHING doxygen will still
-# accept a match between prototype and implementation in such cases.
-# The default value is: NO.
-
-STRICT_PROTO_MATCHING = NO
-
-# The GENERATE_TODOLIST tag can be used to enable (YES) or disable (NO) the todo
-# list. This list is created by putting \todo commands in the documentation.
-# The default value is: YES.
-
-GENERATE_TODOLIST = YES
-
-# The GENERATE_TESTLIST tag can be used to enable (YES) or disable (NO) the test
-# list. This list is created by putting \test commands in the documentation.
-# The default value is: YES.
-
-GENERATE_TESTLIST = YES
-
-# The GENERATE_BUGLIST tag can be used to enable (YES) or disable (NO) the bug
-# list. This list is created by putting \bug commands in the documentation.
-# The default value is: YES.
-
-GENERATE_BUGLIST = YES
-
-# The GENERATE_DEPRECATEDLIST tag can be used to enable (YES) or disable (NO)
-# the deprecated list. This list is created by putting \deprecated commands in
-# the documentation.
-# The default value is: YES.
-
-GENERATE_DEPRECATEDLIST= YES
-
-# The ENABLED_SECTIONS tag can be used to enable conditional documentation
-# sections, marked by \if <section_label> ... \endif and \cond <section_label>
-# ... \endcond blocks.
-
-ENABLED_SECTIONS =
-
-# The MAX_INITIALIZER_LINES tag determines the maximum number of lines that the
-# initial value of a variable or macro / define can have for it to appear in the
-# documentation. If the initializer consists of more lines than specified here
-# it will be hidden. Use a value of 0 to hide initializers completely. The
-# appearance of the value of individual variables and macros / defines can be
-# controlled using \showinitializer or \hideinitializer command in the
-# documentation regardless of this setting.
-# Minimum value: 0, maximum value: 10000, default value: 30.
-
-MAX_INITIALIZER_LINES = 30
-
-# Set the SHOW_USED_FILES tag to NO to disable the list of files generated at
-# the bottom of the documentation of classes and structs. If set to YES, the
-# list will mention the files that were used to generate the documentation.
-# The default value is: YES.
-
-SHOW_USED_FILES = YES
-
-# Set the SHOW_FILES tag to NO to disable the generation of the Files page. This
-# will remove the Files entry from the Quick Index and from the Folder Tree View
-# (if specified).
-# The default value is: YES.
-
-SHOW_FILES = YES
-
-# Set the SHOW_NAMESPACES tag to NO to disable the generation of the Namespaces
-# page. This will remove the Namespaces entry from the Quick Index and from the
-# Folder Tree View (if specified).
-# The default value is: YES.
-
-SHOW_NAMESPACES = YES
-
-# The FILE_VERSION_FILTER tag can be used to specify a program or script that
-# doxygen should invoke to get the current version for each file (typically from
-# the version control system). Doxygen will invoke the program by executing (via
-# popen()) the command command input-file, where command is the value of the
-# FILE_VERSION_FILTER tag, and input-file is the name of an input file provided
-# by doxygen. Whatever the program writes to standard output is used as the file
-# version. For an example see the documentation.
-
-FILE_VERSION_FILTER =
-
-# The LAYOUT_FILE tag can be used to specify a layout file which will be parsed
-# by doxygen. The layout file controls the global structure of the generated
-# output files in an output format independent way. To create the layout file
-# that represents doxygen's defaults, run doxygen with the -l option. You can
-# optionally specify a file name after the option, if omitted DoxygenLayout.xml
-# will be used as the name of the layout file.
-#
-# Note that if you run doxygen from a directory containing a file called
-# DoxygenLayout.xml, doxygen will parse it automatically even if the LAYOUT_FILE
-# tag is left empty.
-
-LAYOUT_FILE =
-
-# The CITE_BIB_FILES tag can be used to specify one or more bib files containing
-# the reference definitions. This must be a list of .bib files. The .bib
-# extension is automatically appended if omitted. This requires the bibtex tool
-# to be installed. See also https://en.wikipedia.org/wiki/BibTeX for more info.
-# For LaTeX the style of the bibliography can be controlled using
-# LATEX_BIB_STYLE. To use this feature you need bibtex and perl available in the
-# search path. See also \cite for info how to create references.
-
-CITE_BIB_FILES =
-
-#---------------------------------------------------------------------------
-# Configuration options related to warning and progress messages
-#---------------------------------------------------------------------------
-
-# The QUIET tag can be used to turn on/off the messages that are generated to
-# standard output by doxygen. If QUIET is set to YES this implies that the
-# messages are off.
-# The default value is: NO.
-
-QUIET = NO
-
-# The WARNINGS tag can be used to turn on/off the warning messages that are
-# generated to standard error (stderr) by doxygen. If WARNINGS is set to YES
-# this implies that the warnings are on.
-#
-# Tip: Turn warnings on while writing the documentation.
-# The default value is: YES.
-
-WARNINGS = YES
-
-# If the WARN_IF_UNDOCUMENTED tag is set to YES then doxygen will generate
-# warnings for undocumented members. If EXTRACT_ALL is set to YES then this flag
-# will automatically be disabled.
-# The default value is: YES.
-
-WARN_IF_UNDOCUMENTED = YES
-
-# If the WARN_IF_DOC_ERROR tag is set to YES, doxygen will generate warnings for
-# potential errors in the documentation, such as not documenting some parameters
-# in a documented function, or documenting parameters that don't exist or using
-# markup commands wrongly.
-# The default value is: YES.
-
-WARN_IF_DOC_ERROR = YES
-
-# This WARN_NO_PARAMDOC option can be enabled to get warnings for functions that
-# are documented, but have no documentation for their parameters or return
-# value. If set to NO, doxygen will only warn about wrong or incomplete
-# parameter documentation, but not about the absence of documentation.
-# The default value is: NO.
-
-WARN_NO_PARAMDOC = NO
-
-# If the WARN_AS_ERROR tag is set to YES then doxygen will immediately stop when
-# a warning is encountered.
-# The default value is: NO.
-
-WARN_AS_ERROR = NO
-
-# The WARN_FORMAT tag determines the format of the warning messages that doxygen
-# can produce. The string should contain the $file, $line, and $text tags, which
-# will be replaced by the file and line number from which the warning originated
-# and the warning text. Optionally the format may contain $version, which will
-# be replaced by the version of the file (if it could be obtained via
-# FILE_VERSION_FILTER)
-# The default value is: $file:$line: $text.
-
-WARN_FORMAT = "$file:$line: $text"
-
-# The WARN_LOGFILE tag can be used to specify a file to which warning and error
-# messages should be written. If left blank the output is written to standard
-# error (stderr).
-
-WARN_LOGFILE =
-
-#---------------------------------------------------------------------------
-# Configuration options related to the input files
-#---------------------------------------------------------------------------
-
-# The INPUT tag is used to specify the files and/or directories that contain
-# documented source files. You may enter file names like myfile.cpp or
-# directories like /usr/src/myproject. Separate the files or directories with
-# spaces. See also FILE_PATTERNS and EXTENSION_MAPPING
-# Note: If this tag is empty the current directory is searched.
-
-INPUT = "src"
-
-# This tag can be used to specify the character encoding of the source files
-# that doxygen parses. Internally doxygen uses the UTF-8 encoding. Doxygen uses
-# libiconv (or the iconv built into libc) for the transcoding. See the libiconv
-# documentation (see: https://www.gnu.org/software/libiconv/) for the list of
-# possible encodings.
-# The default value is: UTF-8.
-
-INPUT_ENCODING = UTF-8
-
-# If the value of the INPUT tag contains directories, you can use the
-# FILE_PATTERNS tag to specify one or more wildcard patterns (like *.cpp and
-# *.h) to filter out the source-files in the directories.
-#
-# Note that for custom extensions or not directly supported extensions you also
-# need to set EXTENSION_MAPPING for the extension otherwise the files are not
-# read by doxygen.
-#
-# If left blank the following patterns are tested:*.c, *.cc, *.cxx, *.cpp,
-# *.c++, *.java, *.ii, *.ixx, *.ipp, *.i++, *.inl, *.idl, *.ddl, *.odl, *.h,
-# *.hh, *.hxx, *.hpp, *.h++, *.cs, *.d, *.php, *.php4, *.php5, *.phtml, *.inc,
-# *.m, *.markdown, *.md, *.mm, *.dox, *.py, *.pyw, *.f90, *.f95, *.f03, *.f08,
-# *.f, *.for, *.tcl, *.vhd, *.vhdl, *.ucf and *.qsf.
-
-FILE_PATTERNS = *.c \
- *.cc \
- *.cxx \
- *.cpp \
- *.c++ \
- *.java \
- *.ii \
- *.ixx \
- *.ipp \
- *.i++ \
- *.inl \
- *.idl \
- *.ddl \
- *.odl \
- *.h \
- *.hh \
- *.hxx \
- *.hpp \
- *.h++ \
- *.cs \
- *.d \
- *.php \
- *.php4 \
- *.php5 \
- *.phtml \
- *.inc \
- *.m \
- *.markdown \
- *.md \
- *.mm \
- *.dox \
- *.py \
- *.pyw \
- *.f90 \
- *.f95 \
- *.f03 \
- *.f08 \
- *.f \
- *.for \
- *.tcl \
- *.vhd \
- *.vhdl \
- *.ucf \
- *.qsf
-
-# The RECURSIVE tag can be used to specify whether or not subdirectories should
-# be searched for input files as well.
-# The default value is: NO.
-
-RECURSIVE = NO
-
-# The EXCLUDE tag can be used to specify files and/or directories that should be
-# excluded from the INPUT source files. This way you can easily exclude a
-# subdirectory from a directory tree whose root is specified with the INPUT tag.
-#
-# Note that relative paths are relative to the directory from which doxygen is
-# run.
-
-EXCLUDE =
-
-# The EXCLUDE_SYMLINKS tag can be used to select whether or not files or
-# directories that are symbolic links (a Unix file system feature) are excluded
-# from the input.
-# The default value is: NO.
-
-EXCLUDE_SYMLINKS = NO
-
-# If the value of the INPUT tag contains directories, you can use the
-# EXCLUDE_PATTERNS tag to specify one or more wildcard patterns to exclude
-# certain files from those directories.
-#
-# Note that the wildcards are matched against the file with absolute path, so to
-# exclude all test directories for example use the pattern */test/*
-
-EXCLUDE_PATTERNS =
-
-# The EXCLUDE_SYMBOLS tag can be used to specify one or more symbol names
-# (namespaces, classes, functions, etc.) that should be excluded from the
-# output. The symbol name can be a fully qualified name, a word, or if the
-# wildcard * is used, a substring. Examples: ANamespace, AClass,
-# AClass::ANamespace, ANamespace::*Test
-#
-# Note that the wildcards are matched against the file with absolute path, so to
-# exclude all test directories use the pattern */test/*
-
-EXCLUDE_SYMBOLS =
-
-# The EXAMPLE_PATH tag can be used to specify one or more files or directories
-# that contain example code fragments that are included (see the \include
-# command).
-
-EXAMPLE_PATH =
-
-# If the value of the EXAMPLE_PATH tag contains directories, you can use the
-# EXAMPLE_PATTERNS tag to specify one or more wildcard pattern (like *.cpp and
-# *.h) to filter out the source-files in the directories. If left blank all
-# files are included.
-
-EXAMPLE_PATTERNS = *
-
-# If the EXAMPLE_RECURSIVE tag is set to YES then subdirectories will be
-# searched for input files to be used with the \include or \dontinclude commands
-# irrespective of the value of the RECURSIVE tag.
-# The default value is: NO.
-
-EXAMPLE_RECURSIVE = NO
-
-# The IMAGE_PATH tag can be used to specify one or more files or directories
-# that contain images that are to be included in the documentation (see the
-# \image command).
-
-IMAGE_PATH =
-
-# The INPUT_FILTER tag can be used to specify a program that doxygen should
-# invoke to filter for each input file. Doxygen will invoke the filter program
-# by executing (via popen()) the command:
-#
-# <filter> <input-file>
-#
-# where <filter> is the value of the INPUT_FILTER tag, and <input-file> is the
-# name of an input file. Doxygen will then use the output that the filter
-# program writes to standard output. If FILTER_PATTERNS is specified, this tag
-# will be ignored.
-#
-# Note that the filter must not add or remove lines; it is applied before the
-# code is scanned, but not when the output code is generated. If lines are added
-# or removed, the anchors will not be placed correctly.
-#
-# Note that for custom extensions or not directly supported extensions you also
-# need to set EXTENSION_MAPPING for the extension otherwise the files are not
-# properly processed by doxygen.
-
-INPUT_FILTER =
-
-# The FILTER_PATTERNS tag can be used to specify filters on a per file pattern
-# basis. Doxygen will compare the file name with each pattern and apply the
-# filter if there is a match. The filters are a list of the form: pattern=filter
-# (like *.cpp=my_cpp_filter). See INPUT_FILTER for further information on how
-# filters are used. If the FILTER_PATTERNS tag is empty or if none of the
-# patterns match the file name, INPUT_FILTER is applied.
-#
-# Note that for custom extensions or not directly supported extensions you also
-# need to set EXTENSION_MAPPING for the extension otherwise the files are not
-# properly processed by doxygen.
-
-FILTER_PATTERNS =
-
-# If the FILTER_SOURCE_FILES tag is set to YES, the input filter (if set using
-# INPUT_FILTER) will also be used to filter the input files that are used for
-# producing the source files to browse (i.e. when SOURCE_BROWSER is set to YES).
-# The default value is: NO.
-
-FILTER_SOURCE_FILES = NO
-
-# The FILTER_SOURCE_PATTERNS tag can be used to specify source filters per file
-# pattern. A pattern will override the setting for FILTER_PATTERN (if any) and
-# it is also possible to disable source filtering for a specific pattern using
-# *.ext= (so without naming a filter).
-# This tag requires that the tag FILTER_SOURCE_FILES is set to YES.
-
-FILTER_SOURCE_PATTERNS =
-
-# If the USE_MDFILE_AS_MAINPAGE tag refers to the name of a markdown file that
-# is part of the input, its contents will be placed on the main page
-# (index.html). This can be useful if you have a project on for instance GitHub
-# and want to reuse the introduction page also for the doxygen output.
-
-USE_MDFILE_AS_MAINPAGE =
-
-#---------------------------------------------------------------------------
-# Configuration options related to source browsing
-#---------------------------------------------------------------------------
-
-# If the SOURCE_BROWSER tag is set to YES then a list of source files will be
-# generated. Documented entities will be cross-referenced with these sources.
-#
-# Note: To get rid of all source code in the generated output, make sure that
-# also VERBATIM_HEADERS is set to NO.
-# The default value is: NO.
-
-SOURCE_BROWSER = NO
-
-# Setting the INLINE_SOURCES tag to YES will include the body of functions,
-# classes and enums directly into the documentation.
-# The default value is: NO.
-
-INLINE_SOURCES = NO
-
-# Setting the STRIP_CODE_COMMENTS tag to YES will instruct doxygen to hide any
-# special comment blocks from generated source code fragments. Normal C, C++ and
-# Fortran comments will always remain visible.
-# The default value is: YES.
-
-STRIP_CODE_COMMENTS = YES
-
-# If the REFERENCED_BY_RELATION tag is set to YES then for each documented
-# function all documented functions referencing it will be listed.
-# The default value is: NO.
-
-REFERENCED_BY_RELATION = NO
-
-# If the REFERENCES_RELATION tag is set to YES then for each documented function
-# all documented entities called/used by that function will be listed.
-# The default value is: NO.
-
-REFERENCES_RELATION = NO
-
-# If the REFERENCES_LINK_SOURCE tag is set to YES and SOURCE_BROWSER tag is set
-# to YES then the hyperlinks from functions in REFERENCES_RELATION and
-# REFERENCED_BY_RELATION lists will link to the source code. Otherwise they will
-# link to the documentation.
-# The default value is: YES.
-
-REFERENCES_LINK_SOURCE = YES
-
-# If SOURCE_TOOLTIPS is enabled (the default) then hovering a hyperlink in the
-# source code will show a tooltip with additional information such as prototype,
-# brief description and links to the definition and documentation. Since this
-# will make the HTML file larger and loading of large files a bit slower, you
-# can opt to disable this feature.
-# The default value is: YES.
-# This tag requires that the tag SOURCE_BROWSER is set to YES.
-
-SOURCE_TOOLTIPS = YES
-
-# If the USE_HTAGS tag is set to YES then the references to source code will
-# point to the HTML generated by the htags(1) tool instead of doxygen built-in
-# source browser. The htags tool is part of GNU's global source tagging system
-# (see https://www.gnu.org/software/global/global.html). You will need version
-# 4.8.6 or higher.
-#
-# To use it do the following:
-# - Install the latest version of global
-# - Enable SOURCE_BROWSER and USE_HTAGS in the config file
-# - Make sure the INPUT points to the root of the source tree
-# - Run doxygen as normal
-#
-# Doxygen will invoke htags (and that will in turn invoke gtags), so these
-# tools must be available from the command line (i.e. in the search path).
-#
-# The result: instead of the source browser generated by doxygen, the links to
-# source code will now point to the output of htags.
-# The default value is: NO.
-# This tag requires that the tag SOURCE_BROWSER is set to YES.
-
-USE_HTAGS = NO
-
-# If the VERBATIM_HEADERS tag is set the YES then doxygen will generate a
-# verbatim copy of the header file for each class for which an include is
-# specified. Set to NO to disable this.
-# See also: Section \class.
-# The default value is: YES.
-
-VERBATIM_HEADERS = YES
-
-#---------------------------------------------------------------------------
-# Configuration options related to the alphabetical class index
-#---------------------------------------------------------------------------
-
-# If the ALPHABETICAL_INDEX tag is set to YES, an alphabetical index of all
-# compounds will be generated. Enable this if the project contains a lot of
-# classes, structs, unions or interfaces.
-# The default value is: YES.
-
-ALPHABETICAL_INDEX = YES
-
-# The COLS_IN_ALPHA_INDEX tag can be used to specify the number of columns in
-# which the alphabetical index list will be split.
-# Minimum value: 1, maximum value: 20, default value: 5.
-# This tag requires that the tag ALPHABETICAL_INDEX is set to YES.
-
-COLS_IN_ALPHA_INDEX = 5
-
-# In case all classes in a project start with a common prefix, all classes will
-# be put under the same header in the alphabetical index. The IGNORE_PREFIX tag
-# can be used to specify a prefix (or a list of prefixes) that should be ignored
-# while generating the index headers.
-# This tag requires that the tag ALPHABETICAL_INDEX is set to YES.
-
-IGNORE_PREFIX =
-
-#---------------------------------------------------------------------------
-# Configuration options related to the HTML output
-#---------------------------------------------------------------------------
-
-# If the GENERATE_HTML tag is set to YES, doxygen will generate HTML output
-# The default value is: YES.
-
-GENERATE_HTML = YES
-
-# The HTML_OUTPUT tag is used to specify where the HTML docs will be put. If a
-# relative path is entered the value of OUTPUT_DIRECTORY will be put in front of
-# it.
-# The default directory is: html.
-# This tag requires that the tag GENERATE_HTML is set to YES.
-
-HTML_OUTPUT = html
-
-# The HTML_FILE_EXTENSION tag can be used to specify the file extension for each
-# generated HTML page (for example: .htm, .php, .asp).
-# The default value is: .html.
-# This tag requires that the tag GENERATE_HTML is set to YES.
-
-HTML_FILE_EXTENSION = .html
-
-# The HTML_HEADER tag can be used to specify a user-defined HTML header file for
-# each generated HTML page. If the tag is left blank doxygen will generate a
-# standard header.
-#
-# To get valid HTML the header file that includes any scripts and style sheets
-# that doxygen needs, which is dependent on the configuration options used (e.g.
-# the setting GENERATE_TREEVIEW). It is highly recommended to start with a
-# default header using
-# doxygen -w html new_header.html new_footer.html new_stylesheet.css
-# YourConfigFile
-# and then modify the file new_header.html. See also section "Doxygen usage"
-# for information on how to generate the default header that doxygen normally
-# uses.
-# Note: The header is subject to change so you typically have to regenerate the
-# default header when upgrading to a newer version of doxygen. For a description
-# of the possible markers and block names see the documentation.
-# This tag requires that the tag GENERATE_HTML is set to YES.
-
-HTML_HEADER =
-
-# The HTML_FOOTER tag can be used to specify a user-defined HTML footer for each
-# generated HTML page. If the tag is left blank doxygen will generate a standard
-# footer. See HTML_HEADER for more information on how to generate a default
-# footer and what special commands can be used inside the footer. See also
-# section "Doxygen usage" for information on how to generate the default footer
-# that doxygen normally uses.
-# This tag requires that the tag GENERATE_HTML is set to YES.
-
-HTML_FOOTER =
-
-# The HTML_STYLESHEET tag can be used to specify a user-defined cascading style
-# sheet that is used by each HTML page. It can be used to fine-tune the look of
-# the HTML output. If left blank doxygen will generate a default style sheet.
-# See also section "Doxygen usage" for information on how to generate the style
-# sheet that doxygen normally uses.
-# Note: It is recommended to use HTML_EXTRA_STYLESHEET instead of this tag, as
-# it is more robust and this tag (HTML_STYLESHEET) will in the future become
-# obsolete.
-# This tag requires that the tag GENERATE_HTML is set to YES.
-
-HTML_STYLESHEET =
-
-# The HTML_EXTRA_STYLESHEET tag can be used to specify additional user-defined
-# cascading style sheets that are included after the standard style sheets
-# created by doxygen. Using this option one can overrule certain style aspects.
-# This is preferred over using HTML_STYLESHEET since it does not replace the
-# standard style sheet and is therefore more robust against future updates.
-# Doxygen will copy the style sheet files to the output directory.
-# Note: The order of the extra style sheet files is of importance (e.g. the last
-# style sheet in the list overrules the setting of the previous ones in the
-# list). For an example see the documentation.
-# This tag requires that the tag GENERATE_HTML is set to YES.
-
-HTML_EXTRA_STYLESHEET =
-
-# The HTML_EXTRA_FILES tag can be used to specify one or more extra images or
-# other source files which should be copied to the HTML output directory. Note
-# that these files will be copied to the base HTML output directory. Use the
-# $relpath^ marker in the HTML_HEADER and/or HTML_FOOTER files to load these
-# files. In the HTML_STYLESHEET file, use the file name only. Also note that the
-# files will be copied as-is; there are no commands or markers available.
-# This tag requires that the tag GENERATE_HTML is set to YES.
-
-HTML_EXTRA_FILES =
-
-# The HTML_COLORSTYLE_HUE tag controls the color of the HTML output. Doxygen
-# will adjust the colors in the style sheet and background images according to
-# this color. Hue is specified as an angle on a colorwheel, see
-# https://en.wikipedia.org/wiki/Hue for more information. For instance the value
-# 0 represents red, 60 is yellow, 120 is green, 180 is cyan, 240 is blue, 300
-# purple, and 360 is red again.
-# Minimum value: 0, maximum value: 359, default value: 220.
-# This tag requires that the tag GENERATE_HTML is set to YES.
-
-HTML_COLORSTYLE_HUE = 220
-
-# The HTML_COLORSTYLE_SAT tag controls the purity (or saturation) of the colors
-# in the HTML output. For a value of 0 the output will use grayscales only. A
-# value of 255 will produce the most vivid colors.
-# Minimum value: 0, maximum value: 255, default value: 100.
-# This tag requires that the tag GENERATE_HTML is set to YES.
-
-HTML_COLORSTYLE_SAT = 100
-
-# The HTML_COLORSTYLE_GAMMA tag controls the gamma correction applied to the
-# luminance component of the colors in the HTML output. Values below 100
-# gradually make the output lighter, whereas values above 100 make the output
-# darker. The value divided by 100 is the actual gamma applied, so 80 represents
-# a gamma of 0.8, The value 220 represents a gamma of 2.2, and 100 does not
-# change the gamma.
-# Minimum value: 40, maximum value: 240, default value: 80.
-# This tag requires that the tag GENERATE_HTML is set to YES.
-
-HTML_COLORSTYLE_GAMMA = 80
-
-# If the HTML_TIMESTAMP tag is set to YES then the footer of each generated HTML
-# page will contain the date and time when the page was generated. Setting this
-# to YES can help to show when doxygen was last run and thus if the
-# documentation is up to date.
-# The default value is: NO.
-# This tag requires that the tag GENERATE_HTML is set to YES.
-
-HTML_TIMESTAMP = NO
-
-# If the HTML_DYNAMIC_MENUS tag is set to YES then the generated HTML
-# documentation will contain a main index with vertical navigation menus that
-# are dynamically created via Javascript. If disabled, the navigation index will
-# consists of multiple levels of tabs that are statically embedded in every HTML
-# page. Disable this option to support browsers that do not have Javascript,
-# like the Qt help browser.
-# The default value is: YES.
-# This tag requires that the tag GENERATE_HTML is set to YES.
-
-HTML_DYNAMIC_MENUS = YES
-
-# If the HTML_DYNAMIC_SECTIONS tag is set to YES then the generated HTML
-# documentation will contain sections that can be hidden and shown after the
-# page has loaded.
-# The default value is: NO.
-# This tag requires that the tag GENERATE_HTML is set to YES.
-
-HTML_DYNAMIC_SECTIONS = NO
-
-# With HTML_INDEX_NUM_ENTRIES one can control the preferred number of entries
-# shown in the various tree structured indices initially; the user can expand
-# and collapse entries dynamically later on. Doxygen will expand the tree to
-# such a level that at most the specified number of entries are visible (unless
-# a fully collapsed tree already exceeds this amount). So setting the number of
-# entries 1 will produce a full collapsed tree by default. 0 is a special value
-# representing an infinite number of entries and will result in a full expanded
-# tree by default.
-# Minimum value: 0, maximum value: 9999, default value: 100.
-# This tag requires that the tag GENERATE_HTML is set to YES.
-
-HTML_INDEX_NUM_ENTRIES = 100
-
-# If the GENERATE_DOCSET tag is set to YES, additional index files will be
-# generated that can be used as input for Apple's Xcode 3 integrated development
-# environment (see: https://developer.apple.com/tools/xcode/), introduced with
-# OSX 10.5 (Leopard). To create a documentation set, doxygen will generate a
-# Makefile in the HTML output directory. Running make will produce the docset in
-# that directory and running make install will install the docset in
-# ~/Library/Developer/Shared/Documentation/DocSets so that Xcode will find it at
-# startup. See https://developer.apple.com/tools/creatingdocsetswithdoxygen.html
-# for more information.
-# The default value is: NO.
-# This tag requires that the tag GENERATE_HTML is set to YES.
-
-GENERATE_DOCSET = NO
-
-# This tag determines the name of the docset feed. A documentation feed provides
-# an umbrella under which multiple documentation sets from a single provider
-# (such as a company or product suite) can be grouped.
-# The default value is: Doxygen generated docs.
-# This tag requires that the tag GENERATE_DOCSET is set to YES.
-
-DOCSET_FEEDNAME = "Doxygen generated docs"
-
-# This tag specifies a string that should uniquely identify the documentation
-# set bundle. This should be a reverse domain-name style string, e.g.
-# com.mycompany.MyDocSet. Doxygen will append .docset to the name.
-# The default value is: org.doxygen.Project.
-# This tag requires that the tag GENERATE_DOCSET is set to YES.
-
-DOCSET_BUNDLE_ID = org.doxygen.Project
-
-# The DOCSET_PUBLISHER_ID tag specifies a string that should uniquely identify
-# the documentation publisher. This should be a reverse domain-name style
-# string, e.g. com.mycompany.MyDocSet.documentation.
-# The default value is: org.doxygen.Publisher.
-# This tag requires that the tag GENERATE_DOCSET is set to YES.
-
-DOCSET_PUBLISHER_ID = org.doxygen.Publisher
-
-# The DOCSET_PUBLISHER_NAME tag identifies the documentation publisher.
-# The default value is: Publisher.
-# This tag requires that the tag GENERATE_DOCSET is set to YES.
-
-DOCSET_PUBLISHER_NAME = Publisher
-
-# If the GENERATE_HTMLHELP tag is set to YES then doxygen generates three
-# additional HTML index files: index.hhp, index.hhc, and index.hhk. The
-# index.hhp is a project file that can be read by Microsoft's HTML Help Workshop
-# (see: http://www.microsoft.com/en-us/download/details.aspx?id=21138) on
-# Windows.
-#
-# The HTML Help Workshop contains a compiler that can convert all HTML output
-# generated by doxygen into a single compiled HTML file (.chm). Compiled HTML
-# files are now used as the Windows 98 help format, and will replace the old
-# Windows help format (.hlp) on all Windows platforms in the future. Compressed
-# HTML files also contain an index, a table of contents, and you can search for
-# words in the documentation. The HTML workshop also contains a viewer for
-# compressed HTML files.
-# The default value is: NO.
-# This tag requires that the tag GENERATE_HTML is set to YES.
-
-GENERATE_HTMLHELP = NO
-
-# The CHM_FILE tag can be used to specify the file name of the resulting .chm
-# file. You can add a path in front of the file if the result should not be
-# written to the html output directory.
-# This tag requires that the tag GENERATE_HTMLHELP is set to YES.
-
-CHM_FILE =
-
-# The HHC_LOCATION tag can be used to specify the location (absolute path
-# including file name) of the HTML help compiler (hhc.exe). If non-empty,
-# doxygen will try to run the HTML help compiler on the generated index.hhp.
-# The file has to be specified with full path.
-# This tag requires that the tag GENERATE_HTMLHELP is set to YES.
-
-HHC_LOCATION =
-
-# The GENERATE_CHI flag controls if a separate .chi index file is generated
-# (YES) or that it should be included in the master .chm file (NO).
-# The default value is: NO.
-# This tag requires that the tag GENERATE_HTMLHELP is set to YES.
-
-GENERATE_CHI = NO
-
-# The CHM_INDEX_ENCODING is used to encode HtmlHelp index (hhk), content (hhc)
-# and project file content.
-# This tag requires that the tag GENERATE_HTMLHELP is set to YES.
-
-CHM_INDEX_ENCODING =
-
-# The BINARY_TOC flag controls whether a binary table of contents is generated
-# (YES) or a normal table of contents (NO) in the .chm file. Furthermore it
-# enables the Previous and Next buttons.
-# The default value is: NO.
-# This tag requires that the tag GENERATE_HTMLHELP is set to YES.
-
-BINARY_TOC = NO
-
-# The TOC_EXPAND flag can be set to YES to add extra items for group members to
-# the table of contents of the HTML help documentation and to the tree view.
-# The default value is: NO.
-# This tag requires that the tag GENERATE_HTMLHELP is set to YES.
-
-TOC_EXPAND = NO
-
-# If the GENERATE_QHP tag is set to YES and both QHP_NAMESPACE and
-# QHP_VIRTUAL_FOLDER are set, an additional index file will be generated that
-# can be used as input for Qt's qhelpgenerator to generate a Qt Compressed Help
-# (.qch) of the generated HTML documentation.
-# The default value is: NO.
-# This tag requires that the tag GENERATE_HTML is set to YES.
-
-GENERATE_QHP = NO
-
-# If the QHG_LOCATION tag is specified, the QCH_FILE tag can be used to specify
-# the file name of the resulting .qch file. The path specified is relative to
-# the HTML output folder.
-# This tag requires that the tag GENERATE_QHP is set to YES.
-
-QCH_FILE =
-
-# The QHP_NAMESPACE tag specifies the namespace to use when generating Qt Help
-# Project output. For more information please see Qt Help Project / Namespace
-# (see: http://doc.qt.io/qt-4.8/qthelpproject.html#namespace).
-# The default value is: org.doxygen.Project.
-# This tag requires that the tag GENERATE_QHP is set to YES.
-
-QHP_NAMESPACE = org.doxygen.Project
-
-# The QHP_VIRTUAL_FOLDER tag specifies the namespace to use when generating Qt
-# Help Project output. For more information please see Qt Help Project / Virtual
-# Folders (see: http://doc.qt.io/qt-4.8/qthelpproject.html#virtual-folders).
-# The default value is: doc.
-# This tag requires that the tag GENERATE_QHP is set to YES.
-
-QHP_VIRTUAL_FOLDER = doc
-
-# If the QHP_CUST_FILTER_NAME tag is set, it specifies the name of a custom
-# filter to add. For more information please see Qt Help Project / Custom
-# Filters (see: http://doc.qt.io/qt-4.8/qthelpproject.html#custom-filters).
-# This tag requires that the tag GENERATE_QHP is set to YES.
-
-QHP_CUST_FILTER_NAME =
-
-# The QHP_CUST_FILTER_ATTRS tag specifies the list of the attributes of the
-# custom filter to add. For more information please see Qt Help Project / Custom
-# Filters (see: http://doc.qt.io/qt-4.8/qthelpproject.html#custom-filters).
-# This tag requires that the tag GENERATE_QHP is set to YES.
-
-QHP_CUST_FILTER_ATTRS =
-
-# The QHP_SECT_FILTER_ATTRS tag specifies the list of the attributes this
-# project's filter section matches. Qt Help Project / Filter Attributes (see:
-# http://doc.qt.io/qt-4.8/qthelpproject.html#filter-attributes).
-# This tag requires that the tag GENERATE_QHP is set to YES.
-
-QHP_SECT_FILTER_ATTRS =
-
-# The QHG_LOCATION tag can be used to specify the location of Qt's
-# qhelpgenerator. If non-empty doxygen will try to run qhelpgenerator on the
-# generated .qhp file.
-# This tag requires that the tag GENERATE_QHP is set to YES.
-
-QHG_LOCATION =
-
-# If the GENERATE_ECLIPSEHELP tag is set to YES, additional index files will be
-# generated, together with the HTML files, they form an Eclipse help plugin. To
-# install this plugin and make it available under the help contents menu in
-# Eclipse, the contents of the directory containing the HTML and XML files needs
-# to be copied into the plugins directory of eclipse. The name of the directory
-# within the plugins directory should be the same as the ECLIPSE_DOC_ID value.
-# After copying Eclipse needs to be restarted before the help appears.
-# The default value is: NO.
-# This tag requires that the tag GENERATE_HTML is set to YES.
-
-GENERATE_ECLIPSEHELP = NO
-
-# A unique identifier for the Eclipse help plugin. When installing the plugin
-# the directory name containing the HTML and XML files should also have this
-# name. Each documentation set should have its own identifier.
-# The default value is: org.doxygen.Project.
-# This tag requires that the tag GENERATE_ECLIPSEHELP is set to YES.
-
-ECLIPSE_DOC_ID = org.doxygen.Project
-
-# If you want full control over the layout of the generated HTML pages it might
-# be necessary to disable the index and replace it with your own. The
-# DISABLE_INDEX tag can be used to turn on/off the condensed index (tabs) at top
-# of each HTML page. A value of NO enables the index and the value YES disables
-# it. Since the tabs in the index contain the same information as the navigation
-# tree, you can set this option to YES if you also set GENERATE_TREEVIEW to YES.
-# The default value is: NO.
-# This tag requires that the tag GENERATE_HTML is set to YES.
-
-DISABLE_INDEX = NO
-
-# The GENERATE_TREEVIEW tag is used to specify whether a tree-like index
-# structure should be generated to display hierarchical information. If the tag
-# value is set to YES, a side panel will be generated containing a tree-like
-# index structure (just like the one that is generated for HTML Help). For this
-# to work a browser that supports JavaScript, DHTML, CSS and frames is required
-# (i.e. any modern browser). Windows users are probably better off using the
-# HTML help feature. Via custom style sheets (see HTML_EXTRA_STYLESHEET) one can
-# further fine-tune the look of the index. As an example, the default style
-# sheet generated by doxygen has an example that shows how to put an image at
-# the root of the tree instead of the PROJECT_NAME. Since the tree basically has
-# the same information as the tab index, you could consider setting
-# DISABLE_INDEX to YES when enabling this option.
-# The default value is: NO.
-# This tag requires that the tag GENERATE_HTML is set to YES.
-
-GENERATE_TREEVIEW = NO
-
-# The ENUM_VALUES_PER_LINE tag can be used to set the number of enum values that
-# doxygen will group on one line in the generated HTML documentation.
-#
-# Note that a value of 0 will completely suppress the enum values from appearing
-# in the overview section.
-# Minimum value: 0, maximum value: 20, default value: 4.
-# This tag requires that the tag GENERATE_HTML is set to YES.
-
-ENUM_VALUES_PER_LINE = 4
-
-# If the treeview is enabled (see GENERATE_TREEVIEW) then this tag can be used
-# to set the initial width (in pixels) of the frame in which the tree is shown.
-# Minimum value: 0, maximum value: 1500, default value: 250.
-# This tag requires that the tag GENERATE_HTML is set to YES.
-
-TREEVIEW_WIDTH = 250
-
-# If the EXT_LINKS_IN_WINDOW option is set to YES, doxygen will open links to
-# external symbols imported via tag files in a separate window.
-# The default value is: NO.
-# This tag requires that the tag GENERATE_HTML is set to YES.
-
-EXT_LINKS_IN_WINDOW = NO
-
-# Use this tag to change the font size of LaTeX formulas included as images in
-# the HTML documentation. When you change the font size after a successful
-# doxygen run you need to manually remove any form_*.png images from the HTML
-# output directory to force them to be regenerated.
-# Minimum value: 8, maximum value: 50, default value: 10.
-# This tag requires that the tag GENERATE_HTML is set to YES.
-
-FORMULA_FONTSIZE = 10
-
-# Use the FORMULA_TRANSPARENT tag to determine whether or not the images
-# generated for formulas are transparent PNGs. Transparent PNGs are not
-# supported properly for IE 6.0, but are supported on all modern browsers.
-#
-# Note that when changing this option you need to delete any form_*.png files in
-# the HTML output directory before the changes have effect.
-# The default value is: YES.
-# This tag requires that the tag GENERATE_HTML is set to YES.
-
-FORMULA_TRANSPARENT = YES
-
-# Enable the USE_MATHJAX option to render LaTeX formulas using MathJax (see
-# https://www.mathjax.org) which uses client side Javascript for the rendering
-# instead of using pre-rendered bitmaps. Use this if you do not have LaTeX
-# installed or if you want to formulas look prettier in the HTML output. When
-# enabled you may also need to install MathJax separately and configure the path
-# to it using the MATHJAX_RELPATH option.
-# The default value is: NO.
-# This tag requires that the tag GENERATE_HTML is set to YES.
-
-USE_MATHJAX = NO
-
-# When MathJax is enabled you can set the default output format to be used for
-# the MathJax output. See the MathJax site (see:
-# http://docs.mathjax.org/en/latest/output.html) for more details.
-# Possible values are: HTML-CSS (which is slower, but has the best
-# compatibility), NativeMML (i.e. MathML) and SVG.
-# The default value is: HTML-CSS.
-# This tag requires that the tag USE_MATHJAX is set to YES.
-
-MATHJAX_FORMAT = HTML-CSS
-
-# When MathJax is enabled you need to specify the location relative to the HTML
-# output directory using the MATHJAX_RELPATH option. The destination directory
-# should contain the MathJax.js script. For instance, if the mathjax directory
-# is located at the same level as the HTML output directory, then
-# MATHJAX_RELPATH should be ../mathjax. The default value points to the MathJax
-# Content Delivery Network so you can quickly see the result without installing
-# MathJax. However, it is strongly recommended to install a local copy of
-# MathJax from https://www.mathjax.org before deployment.
-# The default value is: https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.2/.
-# This tag requires that the tag USE_MATHJAX is set to YES.
-
-MATHJAX_RELPATH = https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.2/
-
-# The MATHJAX_EXTENSIONS tag can be used to specify one or more MathJax
-# extension names that should be enabled during MathJax rendering. For example
-# MATHJAX_EXTENSIONS = TeX/AMSmath TeX/AMSsymbols
-# This tag requires that the tag USE_MATHJAX is set to YES.
-
-MATHJAX_EXTENSIONS =
-
-# The MATHJAX_CODEFILE tag can be used to specify a file with javascript pieces
-# of code that will be used on startup of the MathJax code. See the MathJax site
-# (see: http://docs.mathjax.org/en/latest/output.html) for more details. For an
-# example see the documentation.
-# This tag requires that the tag USE_MATHJAX is set to YES.
-
-MATHJAX_CODEFILE =
-
-# When the SEARCHENGINE tag is enabled doxygen will generate a search box for
-# the HTML output. The underlying search engine uses javascript and DHTML and
-# should work on any modern browser. Note that when using HTML help
-# (GENERATE_HTMLHELP), Qt help (GENERATE_QHP), or docsets (GENERATE_DOCSET)
-# there is already a search function so this one should typically be disabled.
-# For large projects the javascript based search engine can be slow, then
-# enabling SERVER_BASED_SEARCH may provide a better solution. It is possible to
-# search using the keyboard; to jump to the search box use <access key> + S
-# (what the <access key> is depends on the OS and browser, but it is typically
-# <CTRL>, <ALT>/<option>, or both). Inside the search box use the <cursor down
-# key> to jump into the search results window, the results can be navigated
-# using the <cursor keys>. Press <Enter> to select an item or <escape> to cancel
-# the search. The filter options can be selected when the cursor is inside the
-# search box by pressing <Shift>+<cursor down>. Also here use the <cursor keys>
-# to select a filter and <Enter> or <escape> to activate or cancel the filter
-# option.
-# The default value is: YES.
-# This tag requires that the tag GENERATE_HTML is set to YES.
-
-SEARCHENGINE = YES
-
-# When the SERVER_BASED_SEARCH tag is enabled the search engine will be
-# implemented using a web server instead of a web client using Javascript. There
-# are two flavors of web server based searching depending on the EXTERNAL_SEARCH
-# setting. When disabled, doxygen will generate a PHP script for searching and
-# an index file used by the script. When EXTERNAL_SEARCH is enabled the indexing
-# and searching needs to be provided by external tools. See the section
-# "External Indexing and Searching" for details.
-# The default value is: NO.
-# This tag requires that the tag SEARCHENGINE is set to YES.
-
-SERVER_BASED_SEARCH = NO
-
-# When EXTERNAL_SEARCH tag is enabled doxygen will no longer generate the PHP
-# script for searching. Instead the search results are written to an XML file
-# which needs to be processed by an external indexer. Doxygen will invoke an
-# external search engine pointed to by the SEARCHENGINE_URL option to obtain the
-# search results.
-#
-# Doxygen ships with an example indexer (doxyindexer) and search engine
-# (doxysearch.cgi) which are based on the open source search engine library
-# Xapian (see: https://xapian.org/).
-#
-# See the section "External Indexing and Searching" for details.
-# The default value is: NO.
-# This tag requires that the tag SEARCHENGINE is set to YES.
-
-EXTERNAL_SEARCH = NO
-
-# The SEARCHENGINE_URL should point to a search engine hosted by a web server
-# which will return the search results when EXTERNAL_SEARCH is enabled.
-#
-# Doxygen ships with an example indexer (doxyindexer) and search engine
-# (doxysearch.cgi) which are based on the open source search engine library
-# Xapian (see: https://xapian.org/). See the section "External Indexing and
-# Searching" for details.
-# This tag requires that the tag SEARCHENGINE is set to YES.
-
-SEARCHENGINE_URL =
-
-# When SERVER_BASED_SEARCH and EXTERNAL_SEARCH are both enabled the unindexed
-# search data is written to a file for indexing by an external tool. With the
-# SEARCHDATA_FILE tag the name of this file can be specified.
-# The default file is: searchdata.xml.
-# This tag requires that the tag SEARCHENGINE is set to YES.
-
-SEARCHDATA_FILE = searchdata.xml
-
-# When SERVER_BASED_SEARCH and EXTERNAL_SEARCH are both enabled the
-# EXTERNAL_SEARCH_ID tag can be used as an identifier for the project. This is
-# useful in combination with EXTRA_SEARCH_MAPPINGS to search through multiple
-# projects and redirect the results back to the right project.
-# This tag requires that the tag SEARCHENGINE is set to YES.
-
-EXTERNAL_SEARCH_ID =
-
-# The EXTRA_SEARCH_MAPPINGS tag can be used to enable searching through doxygen
-# projects other than the one defined by this configuration file, but that are
-# all added to the same external search index. Each project needs to have a
-# unique id set via EXTERNAL_SEARCH_ID. The search mapping then maps the id of
-# to a relative location where the documentation can be found. The format is:
-# EXTRA_SEARCH_MAPPINGS = tagname1=loc1 tagname2=loc2 ...
-# This tag requires that the tag SEARCHENGINE is set to YES.
-
-EXTRA_SEARCH_MAPPINGS =
-
-#---------------------------------------------------------------------------
-# Configuration options related to the LaTeX output
-#---------------------------------------------------------------------------
-
-# If the GENERATE_LATEX tag is set to YES, doxygen will generate LaTeX output.
-# The default value is: YES.
-
-GENERATE_LATEX = YES
-
-# The LATEX_OUTPUT tag is used to specify where the LaTeX docs will be put. If a
-# relative path is entered the value of OUTPUT_DIRECTORY will be put in front of
-# it.
-# The default directory is: latex.
-# This tag requires that the tag GENERATE_LATEX is set to YES.
-
-LATEX_OUTPUT = latex
-
-# The LATEX_CMD_NAME tag can be used to specify the LaTeX command name to be
-# invoked.
-#
-# Note that when enabling USE_PDFLATEX this option is only used for generating
-# bitmaps for formulas in the HTML output, but not in the Makefile that is
-# written to the output directory.
-# The default file is: latex.
-# This tag requires that the tag GENERATE_LATEX is set to YES.
-
-LATEX_CMD_NAME = latex
-
-# The MAKEINDEX_CMD_NAME tag can be used to specify the command name to generate
-# index for LaTeX.
-# The default file is: makeindex.
-# This tag requires that the tag GENERATE_LATEX is set to YES.
-
-MAKEINDEX_CMD_NAME = makeindex
-
-# If the COMPACT_LATEX tag is set to YES, doxygen generates more compact LaTeX
-# documents. This may be useful for small projects and may help to save some
-# trees in general.
-# The default value is: NO.
-# This tag requires that the tag GENERATE_LATEX is set to YES.
-
-COMPACT_LATEX = NO
-
-# The PAPER_TYPE tag can be used to set the paper type that is used by the
-# printer.
-# Possible values are: a4 (210 x 297 mm), letter (8.5 x 11 inches), legal (8.5 x
-# 14 inches) and executive (7.25 x 10.5 inches).
-# The default value is: a4.
-# This tag requires that the tag GENERATE_LATEX is set to YES.
-
-PAPER_TYPE = a4
-
-# The EXTRA_PACKAGES tag can be used to specify one or more LaTeX package names
-# that should be included in the LaTeX output. The package can be specified just
-# by its name or with the correct syntax as to be used with the LaTeX
-# \usepackage command. To get the times font for instance you can specify :
-# EXTRA_PACKAGES=times or EXTRA_PACKAGES={times}
-# To use the option intlimits with the amsmath package you can specify:
-# EXTRA_PACKAGES=[intlimits]{amsmath}
-# If left blank no extra packages will be included.
-# This tag requires that the tag GENERATE_LATEX is set to YES.
-
-EXTRA_PACKAGES =
-
-# The LATEX_HEADER tag can be used to specify a personal LaTeX header for the
-# generated LaTeX document. The header should contain everything until the first
-# chapter. If it is left blank doxygen will generate a standard header. See
-# section "Doxygen usage" for information on how to let doxygen write the
-# default header to a separate file.
-#
-# Note: Only use a user-defined header if you know what you are doing! The
-# following commands have a special meaning inside the header: $title,
-# $datetime, $date, $doxygenversion, $projectname, $projectnumber,
-# $projectbrief, $projectlogo. Doxygen will replace $title with the empty
-# string, for the replacement values of the other commands the user is referred
-# to HTML_HEADER.
-# This tag requires that the tag GENERATE_LATEX is set to YES.
-
-LATEX_HEADER =
-
-# The LATEX_FOOTER tag can be used to specify a personal LaTeX footer for the
-# generated LaTeX document. The footer should contain everything after the last
-# chapter. If it is left blank doxygen will generate a standard footer. See
-# LATEX_HEADER for more information on how to generate a default footer and what
-# special commands can be used inside the footer.
-#
-# Note: Only use a user-defined footer if you know what you are doing!
-# This tag requires that the tag GENERATE_LATEX is set to YES.
-
-LATEX_FOOTER =
-
-# The LATEX_EXTRA_STYLESHEET tag can be used to specify additional user-defined
-# LaTeX style sheets that are included after the standard style sheets created
-# by doxygen. Using this option one can overrule certain style aspects. Doxygen
-# will copy the style sheet files to the output directory.
-# Note: The order of the extra style sheet files is of importance (e.g. the last
-# style sheet in the list overrules the setting of the previous ones in the
-# list).
-# This tag requires that the tag GENERATE_LATEX is set to YES.
-
-LATEX_EXTRA_STYLESHEET =
-
-# The LATEX_EXTRA_FILES tag can be used to specify one or more extra images or
-# other source files which should be copied to the LATEX_OUTPUT output
-# directory. Note that the files will be copied as-is; there are no commands or
-# markers available.
-# This tag requires that the tag GENERATE_LATEX is set to YES.
-
-LATEX_EXTRA_FILES =
-
-# If the PDF_HYPERLINKS tag is set to YES, the LaTeX that is generated is
-# prepared for conversion to PDF (using ps2pdf or pdflatex). The PDF file will
-# contain links (just like the HTML output) instead of page references. This
-# makes the output suitable for online browsing using a PDF viewer.
-# The default value is: YES.
-# This tag requires that the tag GENERATE_LATEX is set to YES.
-
-PDF_HYPERLINKS = YES
-
-# If the USE_PDFLATEX tag is set to YES, doxygen will use pdflatex to generate
-# the PDF file directly from the LaTeX files. Set this option to YES, to get a
-# higher quality PDF documentation.
-# The default value is: YES.
-# This tag requires that the tag GENERATE_LATEX is set to YES.
-
-USE_PDFLATEX = YES
-
-# If the LATEX_BATCHMODE tag is set to YES, doxygen will add the \batchmode
-# command to the generated LaTeX files. This will instruct LaTeX to keep running
-# if errors occur, instead of asking the user for help. This option is also used
-# when generating formulas in HTML.
-# The default value is: NO.
-# This tag requires that the tag GENERATE_LATEX is set to YES.
-
-LATEX_BATCHMODE = NO
-
-# If the LATEX_HIDE_INDICES tag is set to YES then doxygen will not include the
-# index chapters (such as File Index, Compound Index, etc.) in the output.
-# The default value is: NO.
-# This tag requires that the tag GENERATE_LATEX is set to YES.
-
-LATEX_HIDE_INDICES = NO
-
-# If the LATEX_SOURCE_CODE tag is set to YES then doxygen will include source
-# code with syntax highlighting in the LaTeX output.
-#
-# Note that which sources are shown also depends on other settings such as
-# SOURCE_BROWSER.
-# The default value is: NO.
-# This tag requires that the tag GENERATE_LATEX is set to YES.
-
-LATEX_SOURCE_CODE = NO
-
-# The LATEX_BIB_STYLE tag can be used to specify the style to use for the
-# bibliography, e.g. plainnat, or ieeetr. See
-# https://en.wikipedia.org/wiki/BibTeX and \cite for more info.
-# The default value is: plain.
-# This tag requires that the tag GENERATE_LATEX is set to YES.
-
-LATEX_BIB_STYLE = plain
-
-# If the LATEX_TIMESTAMP tag is set to YES then the footer of each generated
-# page will contain the date and time when the page was generated. Setting this
-# to NO can help when comparing the output of multiple runs.
-# The default value is: NO.
-# This tag requires that the tag GENERATE_LATEX is set to YES.
-
-LATEX_TIMESTAMP = NO
-
-#---------------------------------------------------------------------------
-# Configuration options related to the RTF output
-#---------------------------------------------------------------------------
-
-# If the GENERATE_RTF tag is set to YES, doxygen will generate RTF output. The
-# RTF output is optimized for Word 97 and may not look too pretty with other RTF
-# readers/editors.
-# The default value is: NO.
-
-GENERATE_RTF = NO
-
-# The RTF_OUTPUT tag is used to specify where the RTF docs will be put. If a
-# relative path is entered the value of OUTPUT_DIRECTORY will be put in front of
-# it.
-# The default directory is: rtf.
-# This tag requires that the tag GENERATE_RTF is set to YES.
-
-RTF_OUTPUT = rtf
-
-# If the COMPACT_RTF tag is set to YES, doxygen generates more compact RTF
-# documents. This may be useful for small projects and may help to save some
-# trees in general.
-# The default value is: NO.
-# This tag requires that the tag GENERATE_RTF is set to YES.
-
-COMPACT_RTF = NO
-
-# If the RTF_HYPERLINKS tag is set to YES, the RTF that is generated will
-# contain hyperlink fields. The RTF file will contain links (just like the HTML
-# output) instead of page references. This makes the output suitable for online
-# browsing using Word or some other Word compatible readers that support those
-# fields.
-#
-# Note: WordPad (write) and others do not support links.
-# The default value is: NO.
-# This tag requires that the tag GENERATE_RTF is set to YES.
-
-RTF_HYPERLINKS = NO
-
-# Load stylesheet definitions from file. Syntax is similar to doxygen's config
-# file, i.e. a series of assignments. You only have to provide replacements,
-# missing definitions are set to their default value.
-#
-# See also section "Doxygen usage" for information on how to generate the
-# default style sheet that doxygen normally uses.
-# This tag requires that the tag GENERATE_RTF is set to YES.
-
-RTF_STYLESHEET_FILE =
-
-# Set optional variables used in the generation of an RTF document. Syntax is
-# similar to doxygen's config file. A template extensions file can be generated
-# using doxygen -e rtf extensionFile.
-# This tag requires that the tag GENERATE_RTF is set to YES.
-
-RTF_EXTENSIONS_FILE =
-
-# If the RTF_SOURCE_CODE tag is set to YES then doxygen will include source code
-# with syntax highlighting in the RTF output.
-#
-# Note that which sources are shown also depends on other settings such as
-# SOURCE_BROWSER.
-# The default value is: NO.
-# This tag requires that the tag GENERATE_RTF is set to YES.
-
-RTF_SOURCE_CODE = NO
-
-#---------------------------------------------------------------------------
-# Configuration options related to the man page output
-#---------------------------------------------------------------------------
-
-# If the GENERATE_MAN tag is set to YES, doxygen will generate man pages for
-# classes and files.
-# The default value is: NO.
-
-GENERATE_MAN = NO
-
-# The MAN_OUTPUT tag is used to specify where the man pages will be put. If a
-# relative path is entered the value of OUTPUT_DIRECTORY will be put in front of
-# it. A directory man3 will be created inside the directory specified by
-# MAN_OUTPUT.
-# The default directory is: man.
-# This tag requires that the tag GENERATE_MAN is set to YES.
-
-MAN_OUTPUT = man
-
-# The MAN_EXTENSION tag determines the extension that is added to the generated
-# man pages. In case the manual section does not start with a number, the number
-# 3 is prepended. The dot (.) at the beginning of the MAN_EXTENSION tag is
-# optional.
-# The default value is: .3.
-# This tag requires that the tag GENERATE_MAN is set to YES.
-
-MAN_EXTENSION = .3
-
-# The MAN_SUBDIR tag determines the name of the directory created within
-# MAN_OUTPUT in which the man pages are placed. If defaults to man followed by
-# MAN_EXTENSION with the initial . removed.
-# This tag requires that the tag GENERATE_MAN is set to YES.
-
-MAN_SUBDIR =
-
-# If the MAN_LINKS tag is set to YES and doxygen generates man output, then it
-# will generate one additional man file for each entity documented in the real
-# man page(s). These additional files only source the real man page, but without
-# them the man command would be unable to find the correct page.
-# The default value is: NO.
-# This tag requires that the tag GENERATE_MAN is set to YES.
-
-MAN_LINKS = NO
-
-#---------------------------------------------------------------------------
-# Configuration options related to the XML output
-#---------------------------------------------------------------------------
-
-# If the GENERATE_XML tag is set to YES, doxygen will generate an XML file that
-# captures the structure of the code including all documentation.
-# The default value is: NO.
-
-GENERATE_XML = NO
-
-# The XML_OUTPUT tag is used to specify where the XML pages will be put. If a
-# relative path is entered the value of OUTPUT_DIRECTORY will be put in front of
-# it.
-# The default directory is: xml.
-# This tag requires that the tag GENERATE_XML is set to YES.
-
-XML_OUTPUT = xml
-
-# If the XML_PROGRAMLISTING tag is set to YES, doxygen will dump the program
-# listings (including syntax highlighting and cross-referencing information) to
-# the XML output. Note that enabling this will significantly increase the size
-# of the XML output.
-# The default value is: YES.
-# This tag requires that the tag GENERATE_XML is set to YES.
-
-XML_PROGRAMLISTING = YES
-
-#---------------------------------------------------------------------------
-# Configuration options related to the DOCBOOK output
-#---------------------------------------------------------------------------
-
-# If the GENERATE_DOCBOOK tag is set to YES, doxygen will generate Docbook files
-# that can be used to generate PDF.
-# The default value is: NO.
-
-GENERATE_DOCBOOK = NO
-
-# The DOCBOOK_OUTPUT tag is used to specify where the Docbook pages will be put.
-# If a relative path is entered the value of OUTPUT_DIRECTORY will be put in
-# front of it.
-# The default directory is: docbook.
-# This tag requires that the tag GENERATE_DOCBOOK is set to YES.
-
-DOCBOOK_OUTPUT = docbook
-
-# If the DOCBOOK_PROGRAMLISTING tag is set to YES, doxygen will include the
-# program listings (including syntax highlighting and cross-referencing
-# information) to the DOCBOOK output. Note that enabling this will significantly
-# increase the size of the DOCBOOK output.
-# The default value is: NO.
-# This tag requires that the tag GENERATE_DOCBOOK is set to YES.
-
-DOCBOOK_PROGRAMLISTING = NO
-
-#---------------------------------------------------------------------------
-# Configuration options for the AutoGen Definitions output
-#---------------------------------------------------------------------------
-
-# If the GENERATE_AUTOGEN_DEF tag is set to YES, doxygen will generate an
-# AutoGen Definitions (see http://autogen.sourceforge.net/) file that captures
-# the structure of the code including all documentation. Note that this feature
-# is still experimental and incomplete at the moment.
-# The default value is: NO.
-
-GENERATE_AUTOGEN_DEF = NO
-
-#---------------------------------------------------------------------------
-# Configuration options related to the Perl module output
-#---------------------------------------------------------------------------
-
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-# command).
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-# command).
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-# path where java can find the plantuml.jar file. If left blank, it is assumed
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-# the !include statement in a plantuml block.
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diff --git a/4neuro/README.md b/4neuro/README.md
deleted file mode 100644
index 8d70dfde098f4fdbd424cf0780a384746ab49817..0000000000000000000000000000000000000000
--- a/4neuro/README.md
+++ /dev/null
@@ -1 +0,0 @@
-4Neuro
diff --git a/4neuro/build.sh b/4neuro/build.sh
deleted file mode 100644
index 6231cf85f3f42641d1b9bac498bad1ad1c0a88ac..0000000000000000000000000000000000000000
--- a/4neuro/build.sh
+++ /dev/null
@@ -1,11 +0,0 @@
-#!/bin/bash
-
-echo "Creating folder 'build'...";
-mkdir -p build/lib;
-echo "Folder 'build' was created'";
-
-cd build;
-cmake ..;
-make && echo "Installation complete." || exit -1;
-#make install;
-
diff --git a/4neuro/build_docs.sh b/4neuro/build_docs.sh
deleted file mode 100644
index cb972189bfe7aa5cd0d6888c41a87d2870d1c29d..0000000000000000000000000000000000000000
--- a/4neuro/build_docs.sh
+++ /dev/null
@@ -1,6 +0,0 @@
-echo "Generating documentation into folder 'docs'...";
-doxygen >/dev/null && echo "Documenation was generated." || exit -1;
-cd docs/latex;
-echo "Building LaTeX documentation../";
-make >/dev/null && echo "Documentation was built." || exit -1;
-cd ../..;
diff --git a/4neuro/clean.sh b/4neuro/clean.sh
deleted file mode 100644
index 6464a48b5ae574131a8a6ced1838af6de9733705..0000000000000000000000000000000000000000
--- a/4neuro/clean.sh
+++ /dev/null
@@ -1,4 +0,0 @@
-#!/bin/bash
-
-rm -rf build
-rm -rf docs/*
diff --git a/4neuro/docs/.gitkeep b/4neuro/docs/.gitkeep
deleted file mode 100644
index e69de29bb2d1d6434b8b29ae775ad8c2e48c5391..0000000000000000000000000000000000000000
diff --git a/4neuro/img/4neuro_logo_small.png b/4neuro/img/4neuro_logo_small.png
deleted file mode 100644
index 01a1d4491b309bff787c0f3a69fc3f09bfc647d9..0000000000000000000000000000000000000000
Binary files a/4neuro/img/4neuro_logo_small.png and /dev/null differ
diff --git a/4neuro/java/src/BPNet.java b/4neuro/java/src/BPNet.java
deleted file mode 100644
index 81f1c98881a89eb95be9da10ad985e4fe5577bf2..0000000000000000000000000000000000000000
--- a/4neuro/java/src/BPNet.java
+++ /dev/null
@@ -1,462 +0,0 @@
-package cz.vsb.mro0010.neuralnetworks;
-
-import java.util.ArrayList;
-import java.util.Arrays;
-
-public class BPNet extends MultiLayeredNet {
-
- protected float error;
-
-
- public float getError() {
- return error;
- }
-
-
- public void setError(float error) {
- this.error = error;
- }
-
-
- protected float tolerance;
- protected String neuronType;
- protected float learnCoeff;
-
-
-
- public BPNet( float tolerance, int nrOfLayers, int nrOfInputs, ArrayList<Integer> nrOfNeuronsPerLayer, float slope, float learnCoeff ) {
- super(nrOfInputs, nrOfLayers, nrOfNeuronsPerLayer);
- this.neuronType = "SigmoidalNeuron";
- this.tolerance = tolerance;
- this.learnCoeff = learnCoeff;
-
- for (int i = 0; i < nrOfLayers; i++) {
- for (int j = 0; j < nrOfNeuronsPerLayer.get(i); j++) {
- this.neuronLayers.get(i).add(new SigmoidalNeuron(slope));
- }
- }
- for (int i = 0; i < nrOfLayers; i++) {
- this.interconnectionsLayers.add(new InterconnectionsBP(this.learnCoeff));
- }
- for (Neuron neuronIn : this.inputNeuronLayer) {
- for (Neuron neuronFirstLevel : this.neuronLayers.get(0)) {
- this.interconnectionsLayers.get(0).addConnection(new Connection(neuronIn, neuronFirstLevel, (float) (Math.random())));
- }
- }
- for (int i = 1; i < nrOfLayers; i++) {
- for (Neuron neuronIn : this.neuronLayers.get(i-1)) {
- for (Neuron neuronOut : this.neuronLayers.get(i)) {
- this.interconnectionsLayers.get(i).addConnection(new Connection(neuronIn, neuronOut, (float) (Math.random())));
- }
-
- }
- }
-
-
- }
-
-
- public float getTolerance() {
- return tolerance;
- }
-
- public void setTolerance(float tolerance) {
- this.tolerance = tolerance;
- }
-
-
- @Override
- public String getNeuronType() {
- return this.neuronType;
- }
-
- @Override
- public int learn(String trainingSet) {
- boolean learned = false;
- int iter = 0;
- ArrayList<String> trainingElements = new ArrayList<String>(Arrays.asList(trainingSet.split("\n")));
- while(!learned) {
- learned = true;
- this.error = 0;
- for (int i = 0; i < trainingElements.size(); i++) {
- learned &= learnStep(trainingElements.get(i));
- }
- iter++;
-// System.out.println(iter);
- }
- return iter;
-// System.out.println("Learned in " + iter + " whole training set iterations.");
- }
-
- public boolean learnStep(String trainingElement) {
- // Run training Element
- String[] splitedTrainingElement = trainingElement.split(" ");
- StringBuffer inputString = new StringBuffer();
- for (int i = 0; i < this.nrOfInputs; i++) { //Input values
- inputString.append(splitedTrainingElement[i]);
- inputString.append(" ");
- }
- ArrayList<Float> expectedValues = new ArrayList<Float>();
- for (int i = this.nrOfInputs; i < splitedTrainingElement.length; i++) { //Expected values
- expectedValues.add(Float.parseFloat(splitedTrainingElement[i]));
- }
- this.run(inputString.substring(0, inputString.length() - 1));
- // Calculate error
- float error = 0;
- for (int i = 0; i < expectedValues.size(); i++) {
- float y = this.neuronLayers.get(this.nrOfLayers-1).get(i).getState(); //output of ith neuron
- float o = expectedValues.get(i);
- error += (float)( 0.5 * Math.pow((y-o), 2));
- }
- if (this.error < error) {
- this.error = error;
- }
- if (error > this.tolerance) { //Error is too high -> modify weights
- // Calculate deltas
- for (int i = this.nrOfLayers - 1; i >= 0; i -= 1) {
- for (Neuron n : this.neuronLayers.get(i)) {
- SigmoidalNeuron neuron = (SigmoidalNeuron)n;
- if (i == this.nrOfLayers - 1) { //Top layer
- float y = neuron.getState();
- float o = expectedValues.get(this.neuronLayers.get(i).indexOf(neuron));
- float delta = y - o;
- neuron.setError(delta);
- } else { //Other layers
- ArrayList<Connection> connectionsToUpperLayerFromNeuron = new ArrayList<Connection>();
- // Find all connections, that have "neuron" as input
- for (Connection c : this.interconnectionsLayers.get(i+1).getConnections()) {
- if (c.getInputNeuron().equals(neuron))
- connectionsToUpperLayerFromNeuron.add(c);
- }
- float delta = 0;
- for (Connection c : connectionsToUpperLayerFromNeuron) {
- float deltaUpper = ((SigmoidalNeuron)c.getOutputNeuron()).getError();
- float lambdaUpper = ((SigmoidalNeuron)c.getOutputNeuron()).getSlope();
- float yUpper = c.getOutputNeuron().getState();
- float w = c.getWeight();
- delta += deltaUpper*lambdaUpper*yUpper*(1-yUpper)*w;
- }
- neuron.setError(delta);
- }
- }
- }
- // Adjust weights
- for (Interconnections interconnectionsLayer : this.interconnectionsLayers) {
- interconnectionsLayer.adjustWeights();
- }
- return false;
- } else {
- return true;
- }
-
-
- }
-
- public String getOutput() {
- StringBuffer output = new StringBuffer();
- ArrayList<Neuron> outputLayer = this.neuronLayers.get(this.nrOfLayers-1);
- for (int i = 0; i < outputLayer.size(); i++) {
- output.append(String.valueOf(outputLayer.get(i).getState()));
- output.append(" ");
- }
-
- return output.toString();
- }
-
-
-
-
- public void changeSlopeTo(float slope) {
- for (ArrayList<Neuron> neuronLayer : this.neuronLayers) {
- for (Neuron neuron : neuronLayer) {
- ((SigmoidalNeuron)neuron).setSlope(slope);
- }
- }
- }
-
-
- public void changeLearnCoeffTo(float learnCoeff) {
- for (Interconnections layer : interconnectionsLayers) {
- ((InterconnectionsBP)layer).setLearningRate(learnCoeff);
- }
-
- }
-
-
- public void resetWeights() {
- for (Interconnections layer : interconnectionsLayers) {
- for (Connection connection : layer.getConnections()) {
- connection.setWeight((float)Math.random());
- }
- }
-
- }
-
- public void addNeuron(int layerIndex, float slope) {
- SigmoidalNeuron newNeuron = new SigmoidalNeuron(slope);
- neuronLayers.get(layerIndex).add(newNeuron);
- if ((layerIndex < nrOfLayers) && (layerIndex >= 0)) {
- Interconnections inputConnectionLayer = this.interconnectionsLayers.get(layerIndex);
- if (layerIndex == 0) {
- ArrayList<InputLayerPseudoNeuron> inputNeurons = this.inputNeuronLayer;
- for (Neuron inputNeuron : inputNeurons) {
- inputConnectionLayer.addConnection(new Connection(inputNeuron, newNeuron, (float)Math.random()));
- }
- } else {
- ArrayList<Neuron> inputNeurons = this.neuronLayers.get(layerIndex - 1);
- for (Neuron inputNeuron : inputNeurons) {
- inputConnectionLayer.addConnection(new Connection(inputNeuron, newNeuron, (float)Math.random()));
- }
- }
-
- if (layerIndex < nrOfLayers - 1) {
- Interconnections outputConnectionLayer = this.interconnectionsLayers.get(layerIndex + 1);
- ArrayList<Neuron> outputNeurons = this.neuronLayers.get(layerIndex + 1);
- for (Neuron outputNeuron : outputNeurons) {
- outputConnectionLayer.addConnection(new Connection(newNeuron, outputNeuron, (float)Math.random()));
- }
- }
- this.nrOfNeuronsPerLayer.set(layerIndex, this.nrOfNeuronsPerLayer.get(layerIndex) + 1 );
-
-
- } else {
-
- throw new InvalidLayerNumberException();
-
- }
- }
-
- public void removeNeuron(int layerIndex) {
- int nrOfNeuronsInThisLayer = this.nrOfNeuronsPerLayer.get(layerIndex);
- if ((layerIndex < nrOfLayers) && (layerIndex >= 0)) {
- if (nrOfNeuronsInThisLayer == 1) {
-
- removeNeuronLayer(layerIndex);
-
- } else {
- Neuron removedNeuron = this.neuronLayers.get(layerIndex).get(nrOfNeuronsInThisLayer - 1);
- Interconnections inputConnectionLayer = this.interconnectionsLayers.get(layerIndex);
- ArrayList<Connection> removedConnections = new ArrayList<Connection>();
- for (Connection connection : inputConnectionLayer.getConnections()) {
- if (connection.getOutputNeuron().equals(removedNeuron)) {
- removedConnections.add(connection);
- }
- }
- for (Connection connection : removedConnections) {
- inputConnectionLayer.getConnections().remove(connection);
- }
- removedConnections = new ArrayList<Connection>();
- if (layerIndex < nrOfLayers - 1) {
- Interconnections outputConnectionLayer = this.interconnectionsLayers.get(layerIndex + 1);
- for (Connection connection : outputConnectionLayer.getConnections()) {
- if (connection.getInputNeuron().equals(removedNeuron)) {
- removedConnections.add(connection);
- }
- }
- for (Connection connection : removedConnections) {
- outputConnectionLayer.getConnections().remove(connection);
- }
- }
-
- this.neuronLayers.get(layerIndex).remove(removedNeuron);
- this.nrOfNeuronsPerLayer.set(layerIndex, this.nrOfNeuronsPerLayer.get(layerIndex) - 1 );
- }
-
- } else {
- throw new InvalidLayerNumberException();
- }
- }
-
- public void addNeuronLayer(int nrOfNeurons, int layerIndex, float slope) {
- if ((layerIndex < nrOfLayers + 1) && (layerIndex >= 0) && (nrOfNeurons > 0)) {
-
- this.nrOfLayers++;
- this.nrOfNeuronsPerLayer.add(layerIndex, nrOfNeurons);
- // new layer creation
- ArrayList<Neuron> newNeuronLayer = new ArrayList<Neuron>();
- for (int i = 0; i < nrOfNeurons; i++) {
- newNeuronLayer.add(new SigmoidalNeuron(slope));
- }
- // old connections removal
- if (layerIndex < nrOfLayers - 1) { // only if inner layer is added
- this.interconnectionsLayers.remove(layerIndex);
- }
- // new layer adding
- this.neuronLayers.add(layerIndex, newNeuronLayer);
- // new connections creation
- // input
- Interconnections inputConnLayer = new InterconnectionsBP(learnCoeff);
- if (layerIndex == 0) {
- ArrayList<InputLayerPseudoNeuron> inputNeurons = this.inputNeuronLayer;
- ArrayList<Neuron> outputNeurons = newNeuronLayer; //Layers already shifted
- for (Neuron inputNeuron : inputNeurons) {
- for (Neuron outputNeuron : outputNeurons) {
- inputConnLayer.addConnection(new Connection(inputNeuron, outputNeuron, (float)Math.random()));
- }
- }
- } else {
- ArrayList<Neuron> inputNeurons = this.neuronLayers.get(layerIndex - 1);
- ArrayList<Neuron> outputNeurons = newNeuronLayer; //Layers already shifted, this is new layer
- for (Neuron inputNeuron : inputNeurons) {
- for (Neuron outputNeuron : outputNeurons) {
- inputConnLayer.addConnection(new Connection(inputNeuron, outputNeuron, (float)Math.random()));
- }
- }
- }
- this.interconnectionsLayers.add(layerIndex, inputConnLayer);
- // output
- Interconnections outputConnLayer = new InterconnectionsBP(learnCoeff);
- if (layerIndex < nrOfLayers - 1) {
- ArrayList<Neuron> inputNeurons = newNeuronLayer;
- ArrayList<Neuron> outputNeurons = this.neuronLayers.get(layerIndex + 1); //Layers already shifted
- for (Neuron inputNeuron : inputNeurons) {
- for (Neuron outputNeuron : outputNeurons) {
- outputConnLayer.addConnection(new Connection(inputNeuron, outputNeuron, (float)Math.random()));
- }
- }
- this.interconnectionsLayers.add(layerIndex + 1, outputConnLayer);
- }
-
-
- } else {
- throw new InvalidLayerNumberException();
- }
-
- }
-
-
-
- public void removeNeuronLayer(int layerIndex) {
- if ((layerIndex < nrOfLayers ) && (layerIndex >= 0) && (nrOfLayers > 1)) {
- // delete output connections
- if (layerIndex < nrOfLayers - 1) {
- this.interconnectionsLayers.remove(layerIndex + 1);
- }
- // delete input connections
- this.interconnectionsLayers.remove(layerIndex);
- // delete neurons on layer
- this.neuronLayers.remove(layerIndex);
- this.nrOfNeuronsPerLayer.remove(layerIndex);
- this.nrOfLayers--;
- // create new connections
- if (layerIndex < nrOfLayers + 1) {
- Interconnections connLayer = new InterconnectionsBP(learnCoeff);
- if (layerIndex == 0) {
- ArrayList<InputLayerPseudoNeuron> inputNeurons = this.inputNeuronLayer;
- ArrayList<Neuron> outputNeurons = this.neuronLayers.get(0);
- for (Neuron inputNeuron : inputNeurons) {
- for (Neuron outputNeuron : outputNeurons) {
- connLayer.addConnection(new Connection(inputNeuron, outputNeuron, (float)Math.random()));
- }
- }
- } else {
- ArrayList<Neuron> inputNeurons = this.neuronLayers.get(layerIndex - 1);
- ArrayList<Neuron> outputNeurons = this.neuronLayers.get(layerIndex);
- for (Neuron inputNeuron : inputNeurons) {
- for (Neuron outputNeuron : outputNeurons) {
- connLayer.addConnection(new Connection(inputNeuron, outputNeuron, (float)Math.random()));
- }
- }
- }
- this.interconnectionsLayers.add(layerIndex, connLayer);
-
- }
-
- } else {
- throw new InvalidLayerNumberException();
- }
- }
-
- @Override
- public String toString() {
- return getNeuronMap();
- }
-
- public String getNeuronMap() {
- StringBuffer map = new StringBuffer();
- for (int i = 0; i < nrOfLayers; i++) {
- map.append(String.valueOf(nrOfNeuronsPerLayer.get(i)));
- map.append(" ");
- }
- map.deleteCharAt(map.length() - 1);
- return map.toString();
- }
-
- public static void main(String[] args) {
- ArrayList<Integer> nrOfNeuronsPerLayer = new ArrayList<Integer>();
- nrOfNeuronsPerLayer.add(10);
- nrOfNeuronsPerLayer.add(7);
- nrOfNeuronsPerLayer.add(2);
- BPNet net = new BPNet( (float)0.01, 3, 5, nrOfNeuronsPerLayer, (float)1.8, (float)0.7); // bigger slope = better resolution
-
- String trainingSet = "0.4 0.5 1 0.5 1 0 1\n0 0 0 0 0 1 1\n0.1 0.2 0.3 0.4 0.5 0 0\n1 0 1 0 1 1 0\n0.2 0.4 0 0 0.9 0 1";
- net.learn(trainingSet);
- net.run("0.4 0.5 1 0.5 1"); //expected 0 1
- System.out.println(net.getOutput());
- net.run("0 0 0 0 0"); // 1 1
- System.out.println(net.getOutput());
- net.run("0.1 0.2 0.3 0.4 0.5"); // 0 0
- System.out.println(net.getOutput());
- net.run("1 0 1 0 1"); // 1 0
- System.out.println(net.getOutput());
- net.run("0.2 0.4 0 0 0.9"); // 0 1
- System.out.println(net.getOutput());
-
- System.out.println("Not trained elements:");
- net.run("0.9 0.1 0.9 0.1 0.9"); // expected 1 0
- System.out.println(net.getOutput());
- net.run("0.01 0.01 0.01 0.01 0.01"); // expected 1 1
- System.out.println(net.getOutput());
- net.run("0.15 0.15 0.35 0.35 0.5"); // 0 0
- System.out.println(net.getOutput());
-
- System.out.println(net.getNeuronMap());
- net.addNeuron(0, 1.8f);
- System.out.println(net.getNeuronMap());
- net.addNeuron(1, 1.8f);
- System.out.println(net.getNeuronMap());
- net.addNeuron(2, 1.8f);
- System.out.println(net.getNeuronMap());
- net.removeNeuron(0);
- System.out.println(net.getNeuronMap());
- net.removeNeuron(1);
- System.out.println(net.getNeuronMap());
- net.removeNeuron(2);
- System.out.println(net.getNeuronMap());
-
- net.addNeuronLayer(5, 0, 1.8f);
- System.out.println(net.getNeuronMap());
- net.addNeuronLayer(5, 2, 1.8f);
- System.out.println(net.getNeuronMap());
- net.addNeuronLayer(5, 5, 1.8f);
- System.out.println(net.getNeuronMap());
-
- net.removeNeuronLayer(5);
- System.out.println(net.getNeuronMap());
- net.removeNeuronLayer(2);
- System.out.println(net.getNeuronMap());
- net.removeNeuronLayer(0);
- System.out.println(net.getNeuronMap());
-
- net.learn(trainingSet);
- net.run("0.4 0.5 1 0.5 1"); //expected 0 1
- System.out.println(net.getOutput());
- net.run("0 0 0 0 0"); // 1 1
- System.out.println(net.getOutput());
- net.run("0.1 0.2 0.3 0.4 0.5"); // 0 0
- System.out.println(net.getOutput());
- net.run("1 0 1 0 1"); // 1 0
- System.out.println(net.getOutput());
- net.run("0.2 0.4 0 0 0.9"); // 0 1
- System.out.println(net.getOutput());
-
- System.out.println("Not trained elements:");
- net.run("0.9 0.1 0.9 0.1 0.9"); // expected 1 0
- System.out.println(net.getOutput());
- net.run("0.01 0.01 0.01 0.01 0.01"); // expected 1 1
- System.out.println(net.getOutput());
- net.run("0.15 0.15 0.35 0.35 0.5"); // 0 0
- System.out.println(net.getOutput());
- }
-
-}
diff --git a/4neuro/java/src/BinaryNeuron.java b/4neuro/java/src/BinaryNeuron.java
deleted file mode 100644
index 25a0b26fdfdf4b36904d110960c55d4af6e284a0..0000000000000000000000000000000000000000
--- a/4neuro/java/src/BinaryNeuron.java
+++ /dev/null
@@ -1,15 +0,0 @@
-package cz.vsb.mro0010.neuralnetworks;
-
-public class BinaryNeuron extends Neuron {
-
- @Override
- public void transfer() {
- if (this.getPotential() > this.getThreshold()) {
- this.setState(1);
- } else {
- this.setState(0);
- }
-
- }
-
-}
diff --git a/4neuro/java/src/CarDriverClient.java b/4neuro/java/src/CarDriverClient.java
deleted file mode 100644
index bd5a0b9fa5b5895a8a6055e1c7b96be59c2f3c92..0000000000000000000000000000000000000000
--- a/4neuro/java/src/CarDriverClient.java
+++ /dev/null
@@ -1,528 +0,0 @@
-package cz.vsb.mro0010.neuralnetworks;
-
-import java.io.BufferedReader;
-import java.io.BufferedWriter;
-import java.io.File;
-import java.io.FileReader;
-import java.io.InputStreamReader;
-import java.io.OutputStreamWriter;
-import java.io.IOException;
-import java.io.StreamTokenizer;
-import java.net.ConnectException;
-import java.net.Socket;
-import java.util.ArrayList;
-import java.util.List;
-import java.util.Random;
-
-import javax.swing.JOptionPane;
-
-
-/**
- * Jednoduchy ukazkovy klient.
- * Pripoji se k zavodnimu serveru a ridi auto.
- *
- */
-public class CarDriverClient {
-
- private Socket socket; // spojeni
- private BufferedReader in; // cteni se serveru
- private BufferedWriter out; // zapis na server
- private BPNet neuralNetwork;
-
- /**
- * Pripoji se k zavodu.
- *
- * @param host zavodni server
- * @param port port serveru
- * @param raceName nazev zavodu, do nehoz se chce klient pripojit
- * @param driverName jmeno ridice
- * @throws java.lang.IOException problem s pripojenim
- */
- public CarDriverClient(String host, int port, String raceName, String driverName, String carType, BPNet neuralNetwork) throws IOException {
- // add neural net
- this.neuralNetwork = neuralNetwork;
-
- // connect to server
- socket = new Socket(host, port);
- out = new BufferedWriter(new OutputStreamWriter(socket.getOutputStream(), "UTF-8"));
- in = new BufferedReader(new InputStreamReader(socket.getInputStream(), "UTF-8"));
-
- // connect to race
- out.write("driver\n"); // protocol specification
- out.write("race:" + raceName + "\n"); // race name
- out.write("driver:" + driverName + "\n"); // driver name
- out.write("color:0000FF\n"); // car color
- if(carType != null){
- out.write("car:" + carType + "\n"); // car type
- }
- out.write("\n");
- out.flush();
-
- // precteni a kontrola dopovedi serveru
- String line = in.readLine();
- if (!line.equals("ok")) {
- // pokud se pripojeni nepodari, je oznamena chyba a vyvolana vyjimka
- System.err.println("Chyba: " + line);
- throw new ConnectException(line);
- }
- in.readLine(); // precteni prazdneho radku
- }
-
- public static List<String> listRaces(String host, int port) throws IOException {
- // pripojeni k serveru
- Socket socket = new Socket(host, port);
- BufferedWriter out = new BufferedWriter(new OutputStreamWriter(socket.getOutputStream(), "UTF-8"));
- BufferedReader in = new BufferedReader(new InputStreamReader(socket.getInputStream(), "UTF-8"));
-
- // pripojeni k zavodu
- out.write("racelist\n"); // specifikace protokolu
- out.write("\n");
- out.flush();
-
- // precteni a kontrola dopovedi serveru
- String line = in.readLine();
- if (!line.equals("ok")) {
- // pokud se pripojeni nepodari, je oznamena chyba a vyvolana vyjimka
- System.err.println("Chyba: " + line);
- throw new ConnectException(line);
- }
- line = in.readLine(); // precteni prazdneho radku
- List<String> racelist = new ArrayList<String>();
- line = in.readLine();
- System.out.println("Races:");
- while(line != null && !"".equals(line)){
- racelist.add(line);
- System.out.println(line);
- line = in.readLine();
- }
- return racelist;
- }
- public static List<String> listCars(String host, int port, String raceName) throws IOException {
- // pripojeni k serveru
- Socket socket = new Socket(host, port);
- BufferedWriter out = new BufferedWriter(new OutputStreamWriter(socket.getOutputStream(), "UTF-8"));
- BufferedReader in = new BufferedReader(new InputStreamReader(socket.getInputStream(), "UTF-8"));
-
- // pripojeni k zavodu
- out.write("carlist\n"); // specifikace protokolu
- out.write("race:" + raceName + "\n");
- out.write("\n");
- out.flush();
-
- // precteni a kontrola dopovedi serveru
- String line = in.readLine();
- if (!line.equals("ok")) {
- // pokud se pripojeni nepodari, je oznamena chyba a vyvolana vyjimka
- System.err.println("Chyba: " + line);
- throw new ConnectException(line);
- }
- line = in.readLine(); // precteni prazdneho radku
- List<String> carList = new ArrayList<String>();
- line = in.readLine();
- System.out.println("cars:");
- while(line != null && !"".equals(line)){
- carList.add(line);
- System.out.println(line);
- line = in.readLine();
- }
- return carList;
- }
-
- /**
- * Beh zavodu. Cte data ze serveru. Spousti rizeni auta.
- * Ukonci se po ukonceni zavodu.
- *
- * @throws java.io.IOException problem ve spojeni k serveru
- */
- public void run() throws IOException {
- while (true) { // smycka do konce zavodu
- String line = in.readLine();
-// System.out.println(line);
- if (line.equals("round")) { // dalsi kolo v zavode
- round();
- } else if (line.equals("finish")) { // konec zavodu konci smucku
- break;
- } else {
- System.err.println("Chyba se serveru: " + line);
- }
- }
- }
-
- /**
- * Resi jedno posunuti auta. Precte pozici auta od servru,
- * vypocte nastaveni rizeni, ktere na server.
- *
- * @throws java.io.IOException problem ve spojeni k serveru
- */
- public void round() throws IOException {
- float angle = 0; // uhel k care <0,1>
- float speed = 0; // rychlost auta <0,1>
- float distance0 = 0; // vzdalenost od cary <0,1>
- float distance4 = 0; // vzdalenost od cary za 4m<0,1>
- float distance8 = 0; // vzdalenost od cary za 8m<0,1>
- float distance16 = 0; // vzdalenost od cary za 16m<0,1>
- float distance32 = 0; // vzdalenost od cary za 32m<0,1>
- float friction = 0;
- float skid = 0;
- float checkpoint = 0;
- float sensorFrontLeft = 0;
- float sensorFrontMiddleLeft = 0;
- float sensorFrontMiddleRight = 0;
- float sensorFrontRight = 0;
- float sensorFrontRightCorner1 = 0;
- float sensorFrontRightCorner2 = 0;
- float sensorRight1 = 0;
- float sensorRight2 = 0;
- float sensorRearRightCorner2 = 0;
- float sensorRearRightCorner1 = 0;
- float sensorRearRight = 0;
- float sensorRearLeft = 0;
- float sensorRearLeftCorner1 = 0;
- float sensorRearLeftCorner2 = 0;
- float sensorLeft1 = 0;
- float sensorLeft2 = 0;
- float sensorFrontLeftCorner1 = 0;
- float sensorFrontLeftCorner2 = 0;
-
- // cteni dat ze serveru
- String line = in.readLine();
-// System.out.println(line);
- while (line.length() > 0) {
- String[] data = line.split(":", 2);
- String key = data[0];
- String value = data[1];
- if (key.equals("angle")) {
- angle = Float.parseFloat(value);
- } else if (key.equals("speed")) {
- speed = Float.parseFloat(value);
- } else if (key.equals("distance0")) {
- distance0 = Float.parseFloat(value);
- } else if (key.equals("distance4")) {
- distance4 = Float.parseFloat(value);
- } else if (key.equals("distance8")) {
- distance8 = Float.parseFloat(value);
- } else if (key.equals("distance16")) {
- distance16 = Float.parseFloat(value);
- } else if (key.equals("distance32")) {
- distance32 = Float.parseFloat(value);
- } else if (key.equals("friction")) {
- friction = Float.parseFloat(value);
- } else if (key.equals("skid")) {
- skid = Float.parseFloat(value);
- } else if (key.equals("checkpoint")) {
- checkpoint = Float.parseFloat(value);
- } else if (key.equals("sensorFrontLeft")) {
- sensorFrontLeft = Float.parseFloat(value);
- } else if (key.equals("sensorFrontMiddleLeft")) {
- sensorFrontMiddleLeft = Float.parseFloat(value);
- } else if (key.equals("sensorFrontMiddleRight")) {
- sensorFrontMiddleRight = Float.parseFloat(value);
- } else if (key.equals("sensorFrontRight")) {
- sensorFrontRight = Float.parseFloat(value);
- } else if (key.equals("sensorFrontRightCorner1")) {
- sensorFrontRightCorner1 = Float.parseFloat(value);
- } else if (key.equals("sensorFrontRightCorner2")) {
- sensorFrontRightCorner2 = Float.parseFloat(value);
- } else if (key.equals("sensorRight1")) {
- sensorRight1 = Float.parseFloat(value);
- } else if (key.equals("sensorRight2")) {
- sensorRight2 = Float.parseFloat(value);
- } else if (key.equals("sensorRearRightCorner2")) {
- sensorRearRightCorner2 = Float.parseFloat(value);
- } else if (key.equals("sensorRearRightCorner1")) {
- sensorRearRightCorner1 = Float.parseFloat(value);
- } else if (key.equals("sensorRearRight")) {
- sensorRearRight = Float.parseFloat(value);
- } else if (key.equals("sensorRearLeft")) {
- sensorRearLeft = Float.parseFloat(value);
- } else if (key.equals("sensorRearLeftCorner1")) {
- sensorRearLeftCorner1 = Float.parseFloat(value);
- } else if (key.equals("sensorRearLeftCorner2")) {
- sensorRearLeftCorner2 = Float.parseFloat(value);
- } else if (key.equals("sensorLeft1")) {
- sensorLeft1 = Float.parseFloat(value);
- } else if (key.equals("sensorLeft2")) {
- sensorLeft2 = Float.parseFloat(value);
- } else if (key.equals("sensorFrontLeftCorner1")) {
- sensorFrontLeftCorner1 = Float.parseFloat(value);
- } else if (key.equals("sensorFrontLeftCorner2")) {
- sensorFrontLeftCorner2 = Float.parseFloat(value);
- } else {
- System.err.println("Chyba se serveru: " + line);
- }
- line = in.readLine();
-// System.out.println(line);
- }
-
- // vypocet nastaveni rizeni, ktery je mozno zmenit za jiny algoritmus
- float acc; // zrychleni auta <0,1>
- float wheel; // otoceni volantem (kolama) <0,1>
-
- StringBuffer neuralNetInput = new StringBuffer();
-
-
-// float angle = 0; // uhel k care <0,1>
-// float speed = 0; // rychlost auta <0,1>
-// float distance0 = 0; // vzdalenost od cary <0,1>
-// float distance4 = 0; // vzdalenost od cary za 4m<0,1>
-// float distance8 = 0; // vzdalenost od cary za 8m<0,1>
-// float distance16 = 0; // vzdalenost od cary za 16m<0,1>
-// float distance32 = 0; // vzdalenost od cary za 32m<0,1>
-// float friction = 0;
-// float skid = 0;
-// float checkpoint = 0;
-// float sensorFrontLeft = 0;
-// float sensorFrontMiddleLeft = 0;
-// float sensorFrontMiddleRight = 0;
-// float sensorFrontRight = 0;
-// float sensorFrontRightCorner1 = 0;
-// float sensorFrontRightCorner2 = 0;
-// float sensorRight1 = 0;
-// float sensorRight2 = 0;
-// float sensorRearRightCorner2 = 0;
-// float sensorRearRightCorner1 = 0;
-// float sensorRearRight = 0;
-// float sensorRearLeft = 0;
-// float sensorRearLeftCorner1 = 0;
-// float sensorRearLeftCorner2 = 0;
-// float sensorLeft1 = 0;
-// float sensorLeft2 = 0;
-// float sensorFrontLeftCorner1 = 0;
-// float sensorFrontLeftCorner2 = 0;
-
-
-
-// neuralNetInput.append(String.valueOf(angle));
-// neuralNetInput.append(" ");
-// neuralNetInput.append(String.valueOf(speed));
-// neuralNetInput.append(" ");
- neuralNetInput.append("0.5 0.5 ");
- neuralNetInput.append(String.valueOf(distance0));
- neuralNetInput.append(" ");
- neuralNetInput.append(String.valueOf(distance4));
- neuralNetInput.append(" ");
- neuralNetInput.append(String.valueOf(distance8));
- neuralNetInput.append(" ");
- neuralNetInput.append(String.valueOf(distance16));
- neuralNetInput.append(" ");
- neuralNetInput.append(String.valueOf(distance32));
- neuralNetInput.append(" ");
- neuralNetInput.append("1 1 0.5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0");
-// neuralNetInput.append(String.valueOf(friction));
-// neuralNetInput.append(" ");
-// neuralNetInput.append(String.valueOf(skid));
-// neuralNetInput.append(" ");
-// neuralNetInput.append(String.valueOf(checkpoint));
-// neuralNetInput.append(" ");
-// neuralNetInput.append(String.valueOf(sensorFrontLeft));
-// neuralNetInput.append(" ");
-// neuralNetInput.append(String.valueOf(sensorFrontMiddleLeft));
-// neuralNetInput.append(" ");
-// neuralNetInput.append(String.valueOf(sensorFrontMiddleRight));
-// neuralNetInput.append(" ");
-// neuralNetInput.append(String.valueOf(sensorFrontRight));
-// neuralNetInput.append(" ");
-// neuralNetInput.append(String.valueOf(sensorFrontRightCorner1));
-// neuralNetInput.append(" ");
-// neuralNetInput.append(String.valueOf(sensorFrontRightCorner2));
-// neuralNetInput.append(" ");
-// neuralNetInput.append(String.valueOf(sensorRight1));
-// neuralNetInput.append(" ");
-// neuralNetInput.append(String.valueOf(sensorRight2));
-// neuralNetInput.append(" ");
-// neuralNetInput.append(String.valueOf(sensorRearRightCorner2));
-// neuralNetInput.append(" ");
-// neuralNetInput.append(String.valueOf(sensorRearRightCorner1));
-// neuralNetInput.append(" ");
-// neuralNetInput.append(String.valueOf(sensorRearRight));
-// neuralNetInput.append(" ");
-// neuralNetInput.append(String.valueOf(sensorRearLeft));
-// neuralNetInput.append(" ");
-// neuralNetInput.append(String.valueOf(sensorRearLeftCorner1));
-// neuralNetInput.append(" ");
-// neuralNetInput.append(String.valueOf(sensorRearLeftCorner2));
-// neuralNetInput.append(" ");
-// neuralNetInput.append(String.valueOf(sensorLeft1));
-// neuralNetInput.append(" ");
-// neuralNetInput.append(String.valueOf(sensorLeft2));
-// neuralNetInput.append(" ");
-// neuralNetInput.append(String.valueOf(sensorFrontLeftCorner1));
-// neuralNetInput.append(" ");
-// neuralNetInput.append(String.valueOf(sensorFrontLeftCorner2));
-
- neuralNetwork.run(neuralNetInput.toString());
-
- String output = neuralNetwork.getOutput();
- String[] outputArray = output.split(" ");
-
- wheel = Float.parseFloat(outputArray[0]);
- acc = Float.parseFloat(outputArray[1]);
-
-
-
-
- // odpoved serveru
- out.write("ok\n");
- out.write("acc:" + acc + "\n");
- out.write("wheel:" + wheel + "\n");
- out.write("\n");
- out.flush();
- }
-
- /**
- * Funkce, ktera vytvari a spousti klienta.
- *
- * @param args pole argumentu: server port nazev_zavodu jmeno_ridice
- * @throws java.io.IOException problem ve spojeni k serveru, zavodu
- */
- public static void main(String[] args) throws IOException {
-// String host = "java.cs.vsb.cz";
-// int port = 9460;
- String host = "localhost";
-// int port = 9461; // test
- int port = 9460; // normal
- String raceName = "Zavod";
- String driverName = "basic_client";
- String carType = null;
- if (args.length < 4) {
- // kontrola argumentu programu
- System.err.println("argumenty: server port nazev_zavodu jmeno_ridice [typ_auta]");
- List<String> raceList = CarDriverClient.listRaces(host, port);
- raceName = raceList.get(new Random().nextInt(raceList.size()));
- List<String> carList = CarDriverClient.listCars(host, port, raceName);
- carType = carList.get(0);
- driverName += "_" + carType;
-// host = JOptionPane.showInputDialog("Host:", host);
-// port = Integer.parseInt(JOptionPane.showInputDialog("Port:", Integer.toString(port)));
-// raceName = JOptionPane.showInputDialog("Race name:", raceName);
-// driverName = JOptionPane.showInputDialog("Driver name:", driverName);
- } else {
- // nacteni parametu
- host = args[0];
- port = Integer.parseInt(args[1]);
- raceName = args[2];
- driverName = args[3];
- if(args.length > 4){
- carType = args[4];
- }
- }
- // vytvoreni neuronove site
- ArrayList<Integer> nrOfNeuronsPerLayer = new ArrayList<Integer>();
- //nrOfNeuronsPerLayer.add(20);
-// nrOfNeuronsPerLayer.add(15);
-// nrOfNeuronsPerLayer.add(10);
-// nrOfNeuronsPerLayer.add(2);
- nrOfNeuronsPerLayer.add(3);
- nrOfNeuronsPerLayer.add(3);
- nrOfNeuronsPerLayer.add(2);
- BPNet neuralNet = new BPNet(0.1f, 3, 28, nrOfNeuronsPerLayer, 1.4f, 0.4f);
-
- FileReader fr = new FileReader(new File("C:\\Users\\Martin\\Desktop\\NSProjekty\\testTrainingSet5.txt"));
- StreamTokenizer tokenizer = new StreamTokenizer(fr);
- /*for (int i = 0; i < 6; i++ )
- tokenizer.nextToken();
- */
- while(tokenizer.nextToken() != StreamTokenizer.TT_NUMBER) {}
-
- while(tokenizer.nextToken() != StreamTokenizer.TT_NUMBER) {}
- int nrOfLayers = (int)tokenizer.nval;
- while(tokenizer.nextToken() != StreamTokenizer.TT_NUMBER) {}
- int nrOfInputs = (int)tokenizer.nval;
- tokenizer.nextToken();
- tokenizer.nextToken();
- tokenizer.nextToken();
- tokenizer.nextToken();
- ArrayList<float[]> inputRanges = new ArrayList<float[]>();
- ArrayList<String> inputNames = new ArrayList<String>();
- for (int i = 0; i < nrOfInputs; i++) {
- String inputName = tokenizer.sval;
- inputNames.add(inputName);
- tokenizer.nextToken();
- float[] dims = new float[2];
- dims[0] = (float)tokenizer.nval;
- tokenizer.nextToken();
- dims[1] = (float)tokenizer.nval;
- inputRanges.add(dims);
- tokenizer.nextToken();
- }
- /*for (int i = 0; i < 3; i++ )
- tokenizer.nextToken();*/
- while(tokenizer.nextToken() != StreamTokenizer.TT_NUMBER) {}
- nrOfNeuronsPerLayer = new ArrayList<Integer>();
- int nrOfOutputs = 0;
- for (int i = 0; i < nrOfLayers; i++) {
- nrOfNeuronsPerLayer.add((int)tokenizer.nval);
- if (i == nrOfLayers - 1) {
- nrOfOutputs = (int)tokenizer.nval;
- }
- tokenizer.nextToken();
- }
- for (int i = 0; i < 3; i++ )
- tokenizer.nextToken();
- ArrayList<String> outputNames = new ArrayList<String>();
- for (int i = 0; i < nrOfOutputs; i++) {
- outputNames.add(tokenizer.sval);
- tokenizer.nextToken();
- }
- while(tokenizer.nextToken() != StreamTokenizer.TT_NUMBER) {}
- float learnCoeff = (float)tokenizer.nval;
- while(tokenizer.nextToken() != StreamTokenizer.TT_NUMBER) {}
- float inertiaCoeff = (float)tokenizer.nval;
- /*for (int i = 0; i < 7; i++ )
- tokenizer.nextToken();*/
- while(tokenizer.nextToken() != StreamTokenizer.TT_NUMBER) {}
- int nrOfTrainingElements = (int)tokenizer.nval;
- /*for (int i = 0; i < 4; i++ )
- tokenizer.nextToken();*/
- while(tokenizer.nextToken() != StreamTokenizer.TT_NUMBER) {}
- StringBuffer sb = new StringBuffer();
- for (int i = 0; i < nrOfTrainingElements; i++) {
- for (int j = 0; j < nrOfInputs; j++) {
- sb.append(String.valueOf(tokenizer.nval/(inputRanges.get(j)[1]-inputRanges.get(j)[0]) - inputRanges.get(j)[0]/(inputRanges.get(j)[1]-inputRanges.get(j)[0])));
- sb.append(" ");
- tokenizer.nextToken();
- }
- for (int j = 0; j < nrOfOutputs; j++) {
- sb.append(String.valueOf(tokenizer.nval));
- sb.append(" ");
- tokenizer.nextToken();
- }
- sb.deleteCharAt(sb.length() - 1);
- sb.append("\n");
- }
- String trainingData = sb.toString();
- sb = new StringBuffer();
- /*for (int i = 0; i < 5; i++ )
- tokenizer.nextToken();*/
- while(tokenizer.nextToken() != StreamTokenizer.TT_NUMBER) {}
- int nrOfTestElements = (int)tokenizer.nval;
- String testData;
- /*tokenizer.nextToken();*/
- if (nrOfTestElements > 0) {
- while(tokenizer.nextToken() != StreamTokenizer.TT_NUMBER) {}
- for (int i = 0; i < nrOfTestElements; i++) {
- for (int j = 0; j < nrOfInputs; j++) {
- sb.append(String.valueOf(String.valueOf(tokenizer.nval/(inputRanges.get(j)[1]-inputRanges.get(j)[0]) - inputRanges.get(j)[0]/(inputRanges.get(j)[1]-inputRanges.get(j)[0]))));
- sb.append(" ");
- tokenizer.nextToken();
- }
- sb.deleteCharAt(sb.lastIndexOf(" "));
- sb.append("\n");
- }
- testData = sb.substring(0,sb.lastIndexOf("\n"));
- } else {
- testData = "";
- }
- fr.close();
-
- String trainingSet = trainingData;
- System.out.println("Learning started.");
- ;
- System.out.println("Net learned in " + neuralNet.learn(trainingSet) + " iterations");
-
- // vytvoreni klienta
- CarDriverClient driver = new CarDriverClient(host, port, raceName, driverName, carType, neuralNet);
- // spusteni
- driver.run();
- }
-}
diff --git a/4neuro/java/src/Connection.java b/4neuro/java/src/Connection.java
deleted file mode 100644
index d8c451c787cc81045320f8ddc7fa5ac986fd4314..0000000000000000000000000000000000000000
--- a/4neuro/java/src/Connection.java
+++ /dev/null
@@ -1,52 +0,0 @@
-package cz.vsb.mro0010.neuralnetworks;
-
-public class Connection {
-
- private Neuron inputNeuron;
- private Neuron outputNeuron;
- private float weight;
-
- public Connection(Neuron inputNeuron, Neuron outputNeuron, float weight) {
- this.setInputNeuron(inputNeuron);
- this.setOutputNeuron(outputNeuron);
- this.setWeight(weight);
- }
-
- protected Neuron getInputNeuron() {
- return inputNeuron;
- }
-
- protected void setInputNeuron(Neuron inputNeuron) {
- this.inputNeuron = inputNeuron;
- }
-
- protected Neuron getOutputNeuron() {
- return outputNeuron;
- }
-
- protected void setOutputNeuron(Neuron outputNeuron) {
- this.outputNeuron = outputNeuron;
- }
-
- public float getWeight() {
- return weight;
- }
-
- public void setWeight(float weight) {
- this.weight = weight;
- }
-
- public void adjustWeight(float value) {
- this.weight += value;
- }
-
- public void passSignal() {
- outputNeuron.adjustPotential(inputNeuron.getState()*this.getWeight());
- }
-
- @Override
- public String toString() {
- return "Weight: " + this.getWeight();
- }
-
-}
diff --git a/4neuro/java/src/InputLayerPseudoNeuron.java b/4neuro/java/src/InputLayerPseudoNeuron.java
deleted file mode 100644
index d8489247c360c56a17e826eca0536b63ad7f209e..0000000000000000000000000000000000000000
--- a/4neuro/java/src/InputLayerPseudoNeuron.java
+++ /dev/null
@@ -1,14 +0,0 @@
-package cz.vsb.mro0010.neuralnetworks;
-
-public class InputLayerPseudoNeuron extends Neuron {
-
- public InputLayerPseudoNeuron() {
- super();
- }
-
- @Override
- public void transfer() {
- this.setState(this.getPotential());
- }
-
-}
diff --git a/4neuro/java/src/Interconnections.java b/4neuro/java/src/Interconnections.java
deleted file mode 100644
index 8732fb18c3413be7cc31217c22570fb950b25fe9..0000000000000000000000000000000000000000
--- a/4neuro/java/src/Interconnections.java
+++ /dev/null
@@ -1,54 +0,0 @@
-package cz.vsb.mro0010.neuralnetworks;
-
-import java.util.ArrayList;
-
-public abstract class Interconnections {
-
- protected ArrayList<Connection> connections;
-
- public ArrayList<Connection> getConnections() {
- return connections;
- }
-
- public Interconnections() {
- this.connections = new ArrayList<Connection>();
- }
-
- public void addConnection(Connection connection) {
- this.connections.add(connection);
- }
-
-// public void passSignal() {
-// for (Connection c : this.connections) {
-//
-// Neuron n = c.getOutputNeuron();
-// n.initialize();
-// for (Connection cn : this.connections) {
-// if (cn.getOutputNeuron().equals(n)) {
-// cn.passSignal();
-// }
-// }
-// n.transfer();
-// }
-// }
-
- public void passSignal() { // Faster version
- ArrayList<Neuron> processedNeurons = new ArrayList<Neuron>();
- for (Connection c : this.connections) {
-
- Neuron n = c.getOutputNeuron();
- if (!processedNeurons.contains(n)) {
- processedNeurons.add(n);
- n.initialize();
- for (Connection cn : this.connections) {
- if (cn.getOutputNeuron().equals(n)) {
- cn.passSignal();
- }
- }
- n.transfer();
- }
- }
- }
-
- public abstract void adjustWeights();
-}
diff --git a/4neuro/java/src/InterconnectionsBP.java b/4neuro/java/src/InterconnectionsBP.java
deleted file mode 100644
index fc29d41da6161dd3c75f8c464014704c9a311c24..0000000000000000000000000000000000000000
--- a/4neuro/java/src/InterconnectionsBP.java
+++ /dev/null
@@ -1,25 +0,0 @@
-package cz.vsb.mro0010.neuralnetworks;
-
-public class InterconnectionsBP extends InterconnectionsMultiLayer {
-
- public InterconnectionsBP(float learningRate) {
- super(learningRate);
- }
-
- public void setLearningRate(float learningRate) {
- this.learningRate = learningRate;
- }
-
- @Override
- public void adjustWeights() { // backPropagation - set new weights !after! all deltas are calculated
- for (Connection connection : this.connections) {
- float delta = ((SigmoidalNeuron)connection.getOutputNeuron()).getError();
- float lambda = ((SigmoidalNeuron)connection.getOutputNeuron()).getSlope();
- float y = connection.getOutputNeuron().getState();
- float x = connection.getInputNeuron().getState();
- float errorDerivative = delta*lambda*y*(1-y)*x;
- connection.adjustWeight(-learningRate*errorDerivative);
- }
- }
-
-}
diff --git a/4neuro/java/src/InterconnectionsMultiLayer.java b/4neuro/java/src/InterconnectionsMultiLayer.java
deleted file mode 100644
index 5785bdfda73453a4d2e56fdc5f6a9fc265190249..0000000000000000000000000000000000000000
--- a/4neuro/java/src/InterconnectionsMultiLayer.java
+++ /dev/null
@@ -1,11 +0,0 @@
-package cz.vsb.mro0010.neuralnetworks;
-
-public abstract class InterconnectionsMultiLayer extends Interconnections {
-
- protected float learningRate; //eta
-
- public InterconnectionsMultiLayer(float learningRate) {
- this.learningRate = learningRate;
- }
-
-}
diff --git a/4neuro/java/src/InvalidInputNumberException.java b/4neuro/java/src/InvalidInputNumberException.java
deleted file mode 100644
index 3582a092522588d48d59d8994ceccef69548bab7..0000000000000000000000000000000000000000
--- a/4neuro/java/src/InvalidInputNumberException.java
+++ /dev/null
@@ -1,14 +0,0 @@
-package cz.vsb.mro0010.neuralnetworks;
-
-public class InvalidInputNumberException extends RuntimeException {
-
- /**
- *
- */
- private static final long serialVersionUID = -6282750644609100469L;
-
- public InvalidInputNumberException() {
- super("Number of input values does not correspond with network input size");
- }
-
-}
diff --git a/4neuro/java/src/InvalidLayerNumberException.java b/4neuro/java/src/InvalidLayerNumberException.java
deleted file mode 100644
index 5e77f8e09054c7de2f508cd3a026b1653b7757ed..0000000000000000000000000000000000000000
--- a/4neuro/java/src/InvalidLayerNumberException.java
+++ /dev/null
@@ -1,14 +0,0 @@
-package cz.vsb.mro0010.neuralnetworks;
-
-public class InvalidLayerNumberException extends RuntimeException {
-
-
- /**
- *
- */
- private static final long serialVersionUID = 1366940285989358521L;
-
- public InvalidLayerNumberException() {
- super("Number of layer does not correspond with network");
- }
-}
diff --git a/4neuro/java/src/InvalidNeuronTypeException.java b/4neuro/java/src/InvalidNeuronTypeException.java
deleted file mode 100644
index a983ab477d08c053e1aa455d2c8e48d8c23eb5f3..0000000000000000000000000000000000000000
--- a/4neuro/java/src/InvalidNeuronTypeException.java
+++ /dev/null
@@ -1,14 +0,0 @@
-package cz.vsb.mro0010.neuralnetworks;
-
-public class InvalidNeuronTypeException extends RuntimeException {
-
-
- /**
- *
- */
- private static final long serialVersionUID = 5354372081840990196L;
-
- public InvalidNeuronTypeException() {
- super("Wrong Neuron type");
- }
-}
diff --git a/4neuro/java/src/MultiLayeredNet.java b/4neuro/java/src/MultiLayeredNet.java
deleted file mode 100644
index 164170bd774ab09b86f911acd5cf445f29e09c7a..0000000000000000000000000000000000000000
--- a/4neuro/java/src/MultiLayeredNet.java
+++ /dev/null
@@ -1,58 +0,0 @@
-package cz.vsb.mro0010.neuralnetworks;
-
-import java.util.ArrayList;
-
-public abstract class MultiLayeredNet extends NeuralNet {
-
- protected ArrayList<ArrayList<Neuron>> neuronLayers;
- protected ArrayList<InputLayerPseudoNeuron> inputNeuronLayer;
- protected int nrOfInputs;
- protected int nrOfLayers;
- protected ArrayList<Integer> nrOfNeuronsPerLayer;
-
- public MultiLayeredNet(int nrOfInputs, int nrOfLayers, ArrayList<Integer> nrOfNeuronsPerLayer) {
- super();
- this.nrOfInputs = nrOfInputs;
- this.nrOfLayers = nrOfLayers;
- this.nrOfNeuronsPerLayer = nrOfNeuronsPerLayer;
- neuronLayers = new ArrayList<ArrayList<Neuron>>(nrOfLayers);
- inputNeuronLayer = new ArrayList<InputLayerPseudoNeuron>(nrOfInputs);
- for (int i = 0; i < nrOfLayers; i++) {
- neuronLayers.add(new ArrayList<Neuron>(nrOfNeuronsPerLayer.get(i)));
- }
- for (int i = 0; i < nrOfInputs; i++) {
- inputNeuronLayer.add(new InputLayerPseudoNeuron());
- }
- }
-
- public MultiLayeredNet() {
- this(0,0,null);
- }
-
- public int getNrOfInputs() {
- return nrOfInputs;
- }
-
- public int getNrOfLayers() {
- return nrOfLayers;
- }
-
- @Override
- public void run(String input) {
- String[] inputValues = input.split(" ");
- if (inputValues.length != nrOfInputs)
- throw new InvalidInputNumberException();
- for (int i = 0; i < nrOfInputs; i++) {
- InputLayerPseudoNeuron in = this.inputNeuronLayer.get(i);
- in.initialize();
- in.adjustPotential(Float.parseFloat(inputValues[i]));
- in.transfer();
- }
-
- for (int i = 0; i < nrOfLayers; i++) {
- Interconnections interconnectionsLayer = interconnectionsLayers.get(i);
- interconnectionsLayer.passSignal();
- }
- }
-
-}
diff --git a/4neuro/java/src/NeuralNet.java b/4neuro/java/src/NeuralNet.java
deleted file mode 100644
index 9a666d7f2931f5273f084bb7eee011b26c94853c..0000000000000000000000000000000000000000
--- a/4neuro/java/src/NeuralNet.java
+++ /dev/null
@@ -1,20 +0,0 @@
-package cz.vsb.mro0010.neuralnetworks;
-
-import java.util.ArrayList;
-
-public abstract class NeuralNet {
-
- protected ArrayList<Interconnections> interconnectionsLayers;
-
- public NeuralNet(ArrayList<Interconnections> interconnectionsLayers) {
- this.interconnectionsLayers = interconnectionsLayers;
- }
-
- public NeuralNet() {
- this(new ArrayList<Interconnections>());
- }
-
- public abstract String getNeuronType();
- public abstract int learn(String trainingSet);
- public abstract void run(String input);
-}
diff --git a/4neuro/java/src/Neuron.java b/4neuro/java/src/Neuron.java
deleted file mode 100644
index 69260b322b7d949ad01866f9b0b087175a4dcb04..0000000000000000000000000000000000000000
--- a/4neuro/java/src/Neuron.java
+++ /dev/null
@@ -1,59 +0,0 @@
-package cz.vsb.mro0010.neuralnetworks;
-
-public abstract class Neuron {
-
- private float potential; // inner potential
- private float state; // excitation state
- private float threshold; // threshold of excitation
-
-
- public Neuron() {
- this(0, 0, 0);
- }
-
- public Neuron(float potential, float state, float threshold) {
- this.setPotential(potential);
- this.setState(state);
- this.setThreshold(threshold);
- }
-
- public void initialize() {
- this.setPotential(0);
- this.setState(0);
- }
-
- public float getThreshold() {
- return threshold;
- }
-
- public void setThreshold(float threshold) {
- this.threshold = threshold;
- }
-
- public float getState() {
- return state;
- }
-
- protected void setState(float state) {
- this.state = state;
- }
-
- protected float getPotential() {
- return this.potential;
- }
-
- private void setPotential(float potential) {
- this.potential = potential;
- }
-
- public void adjustPotential(float value) {
- this.potential += value;
- }
-
- @Override
- public String toString() {
- return "Pot.: " + this.potential + ", State: " + this.state + ", Thr.: " + this.threshold;
- }
-
- public abstract void transfer();
-}
diff --git a/4neuro/java/src/Projekt1GUI.java b/4neuro/java/src/Projekt1GUI.java
deleted file mode 100644
index e5c5945300ca9a713d299a4d9c7453747f1aee9d..0000000000000000000000000000000000000000
--- a/4neuro/java/src/Projekt1GUI.java
+++ /dev/null
@@ -1,581 +0,0 @@
-package cz.vsb.mro0010.neuralnetworks;
-
-import java.awt.Color;
-import java.awt.EventQueue;
-import java.awt.Rectangle;
-import javax.swing.JFileChooser;
-import javax.swing.JFrame;
-import javax.swing.JMenuBar;
-import javax.swing.JMenu;
-import javax.swing.JMenuItem;
-import javax.swing.JOptionPane;
-import javax.swing.JTable;
-
-import java.awt.event.ActionListener;
-import java.awt.event.ActionEvent;
-import java.awt.event.WindowEvent;
-import java.io.File;
-import java.io.FileNotFoundException;
-import java.io.FileReader;
-import java.io.IOException;
-import java.io.StreamTokenizer;
-import java.util.ArrayList;
-
-import javax.swing.JButton;
-import javax.swing.JScrollPane;
-import javax.swing.JLabel;
-import javax.swing.event.ListSelectionEvent;
-import javax.swing.event.ListSelectionListener;
-import javax.swing.filechooser.FileFilter;
-
-import org.jfree.chart.ChartFactory;
-import org.jfree.chart.ChartPanel;
-import org.jfree.chart.JFreeChart;
-import org.jfree.chart.axis.NumberAxis;
-import org.jfree.chart.plot.XYPlot;
-import org.jfree.chart.renderer.xy.XYLineAndShapeRenderer;
-import org.jfree.chart.renderer.xy.XYSplineRenderer;
-import org.jfree.data.xy.XYSeries;
-import org.jfree.data.xy.XYSeriesCollection;
-import org.jfree.ui.RectangleInsets;
-import org.jfree.util.ShapeUtilities;
-
-public class Projekt1GUI {
-
- private JFrame frmPerceptron;
- private SinglePerceptronNeuralNet neuralNet;
- private File dataFile;
- private String trainingData;
- private String testData;
- private int nrOfInputs;
- private ArrayList<float[]> inputRanges;
- private float learnCoeff;
- private int nrOfTrainingElements;
- private int nrOfTestElements;
- private String trainingOutput;
- private int nrOfTrainingIterations;
-
- //Swing components
- private JButton btnLearn;
- private JTable tableLearn;
- private JTable tableTest;
- private JTable tableTrainingProcess;
- private JScrollPane scrollPaneLearn;
- private JScrollPane scrollPaneTest;
- private JScrollPane scrollPaneTrainingProcess;
- private JButton buttonBackward;
- private JButton buttonForward;
- private JButton btnTestData;
-
- //Chart components
- private XYSeriesCollection dataset;
- private ChartPanel pnlChart;
- private XYLineAndShapeRenderer renderer;
-
- /**
- * Launch the application.
- */
- public static void main(String[] args) {
- EventQueue.invokeLater(new Runnable() {
- public void run() {
- try {
- Projekt1GUI window = new Projekt1GUI();
- window.frmPerceptron.setVisible(true);
- } catch (Exception e) {
- e.printStackTrace();
- }
- }
- });
- }
-
- /**
- * Create the application.
- */
- public Projekt1GUI() {
- initialize();
-
- }
-
- /**
- * Initialize the contents of the frame.
- */
- private void initialize() {
- frmPerceptron = new JFrame();
- frmPerceptron.setTitle("Perceptron");
- frmPerceptron.setBounds(100, 100, 652, 498);
- frmPerceptron.setDefaultCloseOperation(JFrame.EXIT_ON_CLOSE);
- frmPerceptron.getContentPane().setLayout(null);
-
-
-
- btnLearn = new JButton("Learn");
- btnLearn.addActionListener(new ActionListener() {
-
-
- public void actionPerformed(ActionEvent e) {
- btnLearn.setEnabled(false);
- btnTestData.setEnabled(true);
- neuralNet.learn(trainingData);
- trainingOutput = neuralNet.getTrainingOutput();
-
- //Show training process table
- String[] columnNames = new String[nrOfInputs + 1];
- for (int i = 0; i < nrOfInputs; i++) {
- columnNames[i] = "w" + String.valueOf(i+1);
- }
- columnNames[nrOfInputs] = "Threshold";
- String[] rows = trainingOutput.split("\n");
- nrOfTrainingIterations = rows.length;
- Float[][] fDataTable = new Float[nrOfTrainingIterations][nrOfInputs + 1];
- for (int i = 0; i < nrOfTrainingIterations; i++) {
- String[] cells = rows[i].split(" ");
- for (int j = 0; j < nrOfInputs + 1; j++) {
- fDataTable[i][j] = Float.valueOf(cells[j]);
- }
- }
- tableTrainingProcess = new JTable( fDataTable, columnNames);
- tableTrainingProcess.getSelectionModel().addListSelectionListener(new ListSelectionListener(){
- public void valueChanged(ListSelectionEvent event) {
-
- if (tableTrainingProcess.getSelectedRow() == 0) {
- buttonForward.setEnabled(true);
- buttonBackward.setEnabled(false);
- }
- else if (tableTrainingProcess.getSelectedRow() == tableTrainingProcess.getRowCount()-1) {
- buttonBackward.setEnabled(true);
- buttonForward.setEnabled(false);
- }
- else {
- buttonBackward.setEnabled(true);
- buttonForward.setEnabled(true);
- }
-
- //redraw chart in 2D
- if ((nrOfInputs == 2) && (dataset != null)) {
- float xMin = inputRanges.get(0)[0];
- float xMax = inputRanges.get(0)[1];
- float yMin = inputRanges.get(1)[0];
- float yMax = inputRanges.get(1)[1];
-
- int selectedRow = tableTrainingProcess.getSelectedRow();
- float w0 = -(float)tableTrainingProcess.getModel().getValueAt(selectedRow, 2);
- float w1 = (float)tableTrainingProcess.getModel().getValueAt(selectedRow, 0);
- float w2 = (float)tableTrainingProcess.getModel().getValueAt(selectedRow, 1);
- float step = (float)0.01;
-
- boolean containSeries = false;
- String key = "Line";
- for (Object obj : dataset.getSeries()) {
- if (obj instanceof XYSeries) {
- XYSeries xys = (XYSeries)obj;
- if (xys.getKey().equals(key)) {
- containSeries = true;
- }
- }
- }
- if (!containSeries) {
- XYSeries series = new XYSeries(key);
- dataset.addSeries(series);
- }
- for (Object obj : dataset.getSeries()) {
- if (obj instanceof XYSeries) {
- XYSeries xys = (XYSeries)obj;
- if (xys.getKey().equals(key)) {
- int index = dataset.getSeries().indexOf(xys);
- xys.clear();
- for (float x = xMin; x < xMax; x += step) {
- float y = -w1/w2 * x - w0/w2;
- if ( (yMin <= y) && (y <= yMax)) {
- xys.add(x, y);
- }
- }
- renderer.setSeriesPaint(index, Color.RED);
- }
- }
- }
- }
- }
- });
- scrollPaneTrainingProcess.setViewportView(tableTrainingProcess);
- tableTrainingProcess.setRowSelectionInterval(0, 0);
- if (nrOfTrainingIterations > 1)
- buttonForward.setEnabled(true);
-
- // in 2D case draw graph
- if (nrOfInputs == 2) {
- //Create a chart
- XYSeries series = new XYSeries("Line");
- float xMin = 0;//inputRanges.get(0)[0];
- float xMax = 1;//inputRanges.get(0)[1];
- float yMin = 0;//inputRanges.get(1)[0];
- float yMax = 1;//inputRanges.get(1)[1];
-
- int selectedRow = tableTrainingProcess.getSelectedRow();
- float w0 = -(float)tableTrainingProcess.getModel().getValueAt(selectedRow, 2);
- float w1 = (float)tableTrainingProcess.getModel().getValueAt(selectedRow, 0);
- float w2 = (float)tableTrainingProcess.getModel().getValueAt(selectedRow, 1);
- float step = (float)0.01;
- for (float x = xMin; x < xMax; x += step) {
- float y = -w1/w2 * x - w0/w2;
- if ( (yMin <= y) && (y <= yMax)) {
- series.add(x, y);
- }
- }
-
- XYSeries seriesLearnNeg = new XYSeries("LN");
- XYSeries seriesLearnPoz = new XYSeries("LP");
- String[] trainingRows = trainingData.split("\n");
- for (int i = 0; i < nrOfTrainingElements; i++) {
- String[] trainingElement = trainingRows[i].split(" ");
- if (Float.valueOf(trainingElement[2]) == 1) {
- seriesLearnPoz.add(Float.valueOf(trainingElement[0]), Float.valueOf(trainingElement[1]));
- } else {
- seriesLearnNeg.add(Float.valueOf(trainingElement[0]), Float.valueOf(trainingElement[1]));
- }
- }
-
-
- dataset = new XYSeriesCollection();
- dataset.addSeries(series);
- dataset.addSeries(seriesLearnPoz);
- dataset.addSeries(seriesLearnNeg);
-
- //Create chart with name , axis names and dataset
- JFreeChart chart = ChartFactory.createXYLineChart("", "x1", "x2", dataset);
- if ((pnlChart != null) && (pnlChart.getParent() == frmPerceptron.getContentPane()))
- frmPerceptron.getContentPane().remove(pnlChart);
-
- //Change plot properties
-
- XYPlot plot = (XYPlot) chart.getPlot();
- plot.setBackgroundPaint(Color.white);
- plot.setAxisOffset(new RectangleInsets(0, 0, 0, 0));
- plot.setDomainGridlinesVisible(false);
- plot.setDomainGridlinePaint(Color.lightGray);
- plot.setRangeGridlinePaint(Color.white);
- //Set axes range
- //x
- NumberAxis domain = (NumberAxis) plot.getDomainAxis();
- domain.setRange(xMin, xMax);
- //y
- NumberAxis yRange = (NumberAxis) plot.getRangeAxis();
- yRange.setRange(yMin, yMax);
-
- //Set renderer
-
- renderer = new XYSplineRenderer();
- renderer.setSeriesShapesVisible(0, false);
- renderer.setSeriesShapesVisible(1, true);
- renderer.setSeriesShape(1, ShapeUtilities.createUpTriangle(4));
- renderer.setSeriesShapesVisible(2, true);
- renderer.setSeriesShape(2, ShapeUtilities.createDownTriangle(4));
- renderer.setSeriesPaint(0, Color.RED);
- renderer.setSeriesPaint(1, Color.BLUE);
- renderer.setSeriesPaint(2, Color.BLUE);
- renderer.setSeriesLinesVisible(0, true);
- renderer.setSeriesLinesVisible(1, false);
- renderer.setSeriesLinesVisible(2, false);
- plot.setRenderer(renderer);
- pnlChart = new ChartPanel(chart);
- pnlChart.setBounds(309, 267, 273, 150);
- pnlChart.setDomainZoomable(false);
- pnlChart.setRangeZoomable(false);
- pnlChart.getChart().removeLegend();
- frmPerceptron.getContentPane().add(pnlChart);
- frmPerceptron.repaint();
- } else {
- if (pnlChart != null) {
- frmPerceptron.getContentPane().remove(pnlChart);
- frmPerceptron.repaint();
- }
- }
- }
- });
- btnLearn.setEnabled(false);
- btnLearn.setBounds(10, 188, 89, 23);
- frmPerceptron.getContentPane().add(btnLearn);
-
- btnTestData = new JButton("Test data");
- btnTestData.addActionListener(new ActionListener() {
- public void actionPerformed(ActionEvent e) {
- btnTestData.setEnabled(false);
- String[] columnNames = new String[nrOfInputs + 1];
- for (int i = 0; i < nrOfInputs; i++) {
- columnNames[i] = "x" + String.valueOf(i+1);
- }
- columnNames[nrOfInputs] = "y";
- Float[][] fDataTable = new Float[nrOfTestElements][nrOfInputs + 1];
- String[] rows = testData.split("\n");
- for (int i = 0; i < nrOfTestElements; i++) {
- String[] cells = rows[i].split(" ");
- for (int j = 0; j < nrOfInputs; j++) {
- fDataTable[i][j] = Float.valueOf(cells[j]);
- }
- neuralNet.run(rows[i]);
- String y = neuralNet.getOutput();
- fDataTable[i][nrOfInputs] = Float.valueOf(y);
- }
- tableTest = new JTable( fDataTable, columnNames);
- scrollPaneTest.setViewportView(tableTest);
- // in 2D case redraw graph
- if (nrOfInputs == 2) {
- XYSeries seriesTestNeg = new XYSeries("TN");
- XYSeries seriesTestPoz = new XYSeries("TP");
- String[] testRows = testData.split("\n");
- for (int i = 0; i < nrOfTestElements; i++) {
- String[] testElement = testRows[i].split(" ");
- neuralNet.run(testRows[i]);
- String y = neuralNet.getOutput();
- if (Float.valueOf(y) == 1) {
- seriesTestPoz.add(Float.valueOf(testElement[0]), Float.valueOf(testElement[1]));
- } else {
- seriesTestNeg.add(Float.valueOf(testElement[0]), Float.valueOf(testElement[1]));
- }
- }
- dataset.addSeries(seriesTestPoz);
- dataset.addSeries(seriesTestNeg);
-
- renderer.setSeriesShapesVisible(3, true);
- renderer.setSeriesShape(3, ShapeUtilities.createUpTriangle(6));
- renderer.setSeriesShapesVisible(4, true);
- renderer.setSeriesShape(4, ShapeUtilities.createDownTriangle(6));
- renderer.setSeriesPaint(3, Color.GREEN);
- renderer.setSeriesPaint(4, Color.GREEN);
- renderer.setSeriesLinesVisible(3, false);
- renderer.setSeriesLinesVisible(4, false);
-
- }
- }
- });
- btnTestData.setEnabled(false);
- btnTestData.setBounds(10, 222, 89, 23);
- frmPerceptron.getContentPane().add(btnTestData);
-
- scrollPaneLearn = new JScrollPane();
- scrollPaneLearn.setBounds(10, 25, 283, 156);
- frmPerceptron.getContentPane().add(scrollPaneLearn);
-
- scrollPaneTest = new JScrollPane();
- scrollPaneTest.setBounds(10, 267, 283, 160);
- frmPerceptron.getContentPane().add(scrollPaneTest);
-
- JLabel lblNewLabel = new JLabel("Training data");
- lblNewLabel.setBounds(10, 11, 116, 14);
- frmPerceptron.getContentPane().add(lblNewLabel);
-
- JLabel lblTestData = new JLabel("Test data");
- lblTestData.setBounds(10, 252, 103, 14);
- frmPerceptron.getContentPane().add(lblTestData);
-
- scrollPaneTrainingProcess = new JScrollPane();
- scrollPaneTrainingProcess.setBounds(303, 25, 283, 156);
- frmPerceptron.getContentPane().add(scrollPaneTrainingProcess);
-
- JLabel lblTrainingProcess = new JLabel("Training process");
- lblTrainingProcess.setBounds(303, 11, 97, 14);
- frmPerceptron.getContentPane().add(lblTrainingProcess);
-
- buttonBackward = new JButton("<<");
- buttonBackward.setEnabled(false);
- buttonBackward.addActionListener(new ActionListener() {
- public void actionPerformed(ActionEvent arg0) {
- int row = tableTrainingProcess.getSelectedRow();
- int tableRows = tableTrainingProcess.getRowCount();
- if (row == tableRows - 1) {
- buttonForward.setEnabled(true);
- }
- if (row == 1) {
- buttonBackward.setEnabled(false);
- }
- tableTrainingProcess.setRowSelectionInterval(row-1, row-1);
- Rectangle rect = tableTrainingProcess.getCellRect(row-1, 0, true);
- tableTrainingProcess.scrollRectToVisible(rect);
- }
- });
- buttonBackward.setBounds(348, 188, 89, 23);
- frmPerceptron.getContentPane().add(buttonBackward);
-
- buttonForward = new JButton(">>");
- buttonForward.addActionListener(new ActionListener() {
- public void actionPerformed(ActionEvent e) {
- int row = tableTrainingProcess.getSelectedRow();
- int tableRows = tableTrainingProcess.getRowCount();
- if (row == 0) {
- buttonBackward.setEnabled(true);
- }
- if (row == tableRows - 2) {
- buttonForward.setEnabled(false);
- }
- tableTrainingProcess.setRowSelectionInterval(row+1, row+1);
- Rectangle rect = tableTrainingProcess.getCellRect(row+1, 0, true);
- tableTrainingProcess.scrollRectToVisible(rect);
-
-
- }
- });
- buttonForward.setEnabled(false);
- buttonForward.setBounds(447, 188, 89, 23);
- frmPerceptron.getContentPane().add(buttonForward);
-
- JLabel lbldView = new JLabel("2D View");
- lbldView.setBounds(312, 226, 46, 14);
- frmPerceptron.getContentPane().add(lbldView);
-
- JMenuBar menuBar = new JMenuBar();
- frmPerceptron.setJMenuBar(menuBar);
-
- JMenu mnFile = new JMenu("File");
- menuBar.add(mnFile);
-
- JMenuItem mntmLoadData = new JMenuItem("Load data");
- mntmLoadData.addActionListener(new ActionListener() {
-
-
- public void actionPerformed(ActionEvent e) {
- JFileChooser fc = new JFileChooser();
- fc.setDialogType(JFileChooser.OPEN_DIALOG);
- FileFilter filter = new FileFilter() {
-
- @Override
- public String getDescription() {
- // TODO Auto-generated method stub
- return "Txt files";
- }
-
- @Override
- public boolean accept(File f) {
- // TODO Auto-generated method stub
- return (f.getName().endsWith(".txt") || f.isDirectory());
- }
- };
- fc.setFileFilter(filter);
-
-
-
- if (fc.showOpenDialog(frmPerceptron) == JFileChooser.APPROVE_OPTION) {
- dataFile = fc.getSelectedFile();
- FileReader fr;
- try {
- //Parse data file
- fr = new FileReader(dataFile);
- StreamTokenizer tokenizer = new StreamTokenizer(fr);
- /*for (int i = 0; i < 6; i++ )
- tokenizer.nextToken();
- */
- while(tokenizer.nextToken() != StreamTokenizer.TT_NUMBER) {}
- nrOfInputs = (int)tokenizer.nval;
- /*tokenizer.nextToken();
- tokenizer.nextToken();
- tokenizer.nextToken();
- tokenizer.nextToken();*/
- while(tokenizer.nextToken() != StreamTokenizer.TT_NUMBER) {}
- inputRanges = new ArrayList<float[]>();
- for (int i = 0; i < nrOfInputs; i++) {
- float[] dims = new float[2];
- dims[0] = (float)tokenizer.nval;
- tokenizer.nextToken();
- dims[1] = (float)tokenizer.nval;
- inputRanges.add(dims);
- tokenizer.nextToken();
- tokenizer.nextToken();
- }
- /*for (int i = 0; i < 3; i++ )
- tokenizer.nextToken();*/
- while(tokenizer.nextToken() != StreamTokenizer.TT_NUMBER) {}
- learnCoeff = (float)tokenizer.nval;
- /*for (int i = 0; i < 7; i++ )
- tokenizer.nextToken();*/
- while(tokenizer.nextToken() != StreamTokenizer.TT_NUMBER) {}
- nrOfTrainingElements = (int)tokenizer.nval;
- /*for (int i = 0; i < 4; i++ )
- tokenizer.nextToken();*/
- while(tokenizer.nextToken() != StreamTokenizer.TT_NUMBER) {}
- StringBuffer sb = new StringBuffer();
- for (int i = 0; i < nrOfTrainingElements; i++) {
- for (int j = 0; j < nrOfInputs; j++) {
- sb.append(String.valueOf(tokenizer.nval/(inputRanges.get(j)[1]-inputRanges.get(j)[0]) - inputRanges.get(j)[0]/(inputRanges.get(j)[1]-inputRanges.get(j)[0])));
- sb.append(" ");
- tokenizer.nextToken();
- }
- sb.append(String.valueOf(tokenizer.nval));
- sb.append("\n");
- tokenizer.nextToken();
- }
- trainingData = sb.toString();
- sb = new StringBuffer();
- /*for (int i = 0; i < 5; i++ )
- tokenizer.nextToken();*/
- while(tokenizer.nextToken() != StreamTokenizer.TT_NUMBER) {}
- nrOfTestElements = (int)tokenizer.nval;
- /*tokenizer.nextToken();*/
- while(tokenizer.nextToken() != StreamTokenizer.TT_NUMBER) {}
- for (int i = 0; i < nrOfTestElements; i++) {
- for (int j = 0; j < nrOfInputs; j++) {
- sb.append(String.valueOf(String.valueOf(tokenizer.nval/(inputRanges.get(j)[1]-inputRanges.get(j)[0]) - inputRanges.get(j)[0]/(inputRanges.get(j)[1]-inputRanges.get(j)[0]))));
- sb.append(" ");
- tokenizer.nextToken();
- }
- sb.deleteCharAt(sb.lastIndexOf(" "));
- sb.append("\n");
- }
-
- testData = sb.substring(0,sb.lastIndexOf("\n"));
- fr.close();
- neuralNet = new SinglePerceptronNeuralNet(new BinaryNeuron(), nrOfInputs, learnCoeff);
- btnLearn.setEnabled(true);
- //Show learn table
- String[] columnNames = new String[nrOfInputs + 1];
- for (int i = 0; i < nrOfInputs; i++) {
- columnNames[i] = "x" + String.valueOf(i+1);
- }
- columnNames[nrOfInputs] = "y";
- Float[][] fDataTable = new Float[nrOfTrainingElements][nrOfInputs + 1];
- String[] rows = trainingData.split("\n");
- for (int i = 0; i < nrOfTrainingElements; i++) {
- String[] cells = rows[i].split(" ");
- for (int j = 0; j < nrOfInputs + 1; j++) {
- fDataTable[i][j] = Float.valueOf(cells[j]);
- }
- }
- tableLearn = new JTable( fDataTable, columnNames);
- scrollPaneLearn.setViewportView(tableLearn);
- //Show test table
- columnNames = new String[nrOfInputs];
- for (int i = 0; i < nrOfInputs; i++) {
- columnNames[i] = "x" + String.valueOf(i+1);
- }
- fDataTable = new Float[nrOfTestElements][nrOfInputs];
- rows = testData.split("\n");
- for (int i = 0; i < nrOfTestElements; i++) {
- String[] cells = rows[i].split(" ");
- for (int j = 0; j < nrOfInputs; j++) {
- fDataTable[i][j] = Float.valueOf(cells[j]);
- }
- }
- tableTest = new JTable( fDataTable, columnNames);
- scrollPaneTest.setViewportView(tableTest);
-
- } catch (FileNotFoundException e1) {
- e1.printStackTrace();
- JOptionPane.showMessageDialog(null, "Error: File not found");
- } catch (IOException e1) {
- // TODO Auto-generated catch block
- e1.printStackTrace();
- }
-
-
- }
-
- }
- });
- mnFile.add(mntmLoadData);
-
- JMenuItem mntmExit = new JMenuItem("Exit");
- mntmExit.addActionListener(new ActionListener() {
- public void actionPerformed(ActionEvent arg0) {
- frmPerceptron.dispatchEvent(new WindowEvent(frmPerceptron, WindowEvent.WINDOW_CLOSING));
- }
- });
- mnFile.add(mntmExit);
- }
-}
diff --git a/4neuro/java/src/Projekt2GUI.java b/4neuro/java/src/Projekt2GUI.java
deleted file mode 100644
index 1b4406f177ec50e2148f271a690aa8c53cb2d5e5..0000000000000000000000000000000000000000
--- a/4neuro/java/src/Projekt2GUI.java
+++ /dev/null
@@ -1,784 +0,0 @@
-package cz.vsb.mro0010.neuralnetworks;
-
-import java.awt.Color;
-import java.awt.EventQueue;
-
-import javax.swing.JFileChooser;
-import javax.swing.JFrame;
-import javax.swing.JMenuBar;
-import javax.swing.JMenu;
-import javax.swing.JMenuItem;
-import javax.swing.JOptionPane;
-import javax.swing.JTable;
-import javax.swing.ScrollPaneConstants;
-
-import java.awt.event.ActionListener;
-import java.awt.event.ActionEvent;
-import java.awt.event.WindowEvent;
-import java.io.BufferedWriter;
-import java.io.File;
-import java.io.FileNotFoundException;
-import java.io.FileReader;
-import java.io.FileWriter;
-import java.io.IOException;
-import java.io.StreamTokenizer;
-import java.text.DecimalFormat;
-import java.util.ArrayList;
-import java.util.Arrays;
-
-import javax.swing.JButton;
-import javax.swing.JScrollPane;
-import javax.swing.JLabel;
-import javax.swing.filechooser.FileFilter;
-import javax.swing.JSpinner;
-import javax.swing.JTextField;
-import javax.swing.SpinnerNumberModel;
-import javax.swing.event.ChangeListener;
-import javax.swing.event.ChangeEvent;
-import javax.swing.JPanel;
-
-import com.thoughtworks.xstream.XStream;
-
-import java.awt.GridLayout;
-
-public class Projekt2GUI {
-
- private JFrame frmBPnet;
- private BPNet neuralNet;
- private File dataFile;
- private String trainingData;
- private String testData;
-
- private int nrOfInputs;
- private int nrOfOutputs;
- private int nrOfLayers;
- private float maxError;
- private float slope;
- private float inertiaCoeff;
- private ArrayList<Integer> nrOfNeuronsPerLayer;
- private ArrayList<String> inputNames;
- private ArrayList<String> outputNames;
-
-
- private ArrayList<float[]> inputRanges;
- private float learnCoeff;
-
-
- private int nrOfTrainingElements;
- private int nrOfTestElements;
-
- //Swing components
- private JButton btnLearn;
- private JTable tableLearn;
- private JTable tableTest;
- private JScrollPane scrollPaneLearn;
- private JScrollPane scrollPaneTest;
- private JButton btnTestData;
- private JButton btnDoSpecifiedLearn;
- private JSpinner spinnerLearnSteps;
- private JTextField textFieldIterations;
- private JLabel lblLearned;
- private JLabel lblLearnCoeff;
- private JLabel lblSlopeLambda;
- private JSpinner spinnerLearnCoeff;
- private JSpinner spinnerSlope;
- private JLabel lblMaxError;
- private JSpinner spinnerError;
- private JLabel lblCurentError;
- private JTextField textFieldCurrentError;
- private JTextField textFieldTestElement;
- private JTextField textFieldTestOutput;
- private JButton btnTestElement;
- private JButton btnResetWeights;
- private JPanel panelTopology;
- private JButton btnAddLayer;
- private JSpinner spinnerLayer;
- private JSpinner spinnerLayerNeurons;
- private JMenuItem mntmSaveNeuralNet;
-
-
- /**
- * Launch the application.
- */
- public static void main(String[] args) {
- EventQueue.invokeLater(new Runnable() {
- public void run() {
- try {
- Projekt2GUI window = new Projekt2GUI();
- window.frmBPnet.setVisible(true);
- } catch (Exception e) {
- e.printStackTrace();
- }
- }
- });
- }
-
- /**
- * Create the application.
- */
- public Projekt2GUI() {
- initialize();
- }
-
-
- private void changeAfterLearn() {
- btnLearn.setEnabled(false);
- btnTestData.setEnabled(true);
- btnDoSpecifiedLearn.setEnabled(false);
- lblLearned.setText("Learned");
- lblLearned.setForeground(Color.GREEN);
- spinnerLearnSteps.setEnabled(false);
- spinnerError.setEnabled(false);
- spinnerLearnCoeff.setEnabled(false);
- spinnerSlope.setEnabled(false);
- textFieldCurrentError.setText(String.valueOf(neuralNet.getError()));
- btnTestElement.setEnabled(true);
- textFieldTestElement.setEnabled(true);
- textFieldTestOutput.setEnabled(true);
- btnResetWeights.setEnabled(false);
- btnAddLayer.setEnabled(false);
- spinnerLayer.setEnabled(false);
- spinnerLayerNeurons.setEnabled(false);
- frmBPnet.getContentPane().remove(panelTopology);
- frmBPnet.revalidate();
- frmBPnet.repaint();
- mntmSaveNeuralNet.setEnabled(true);
- }
-
- /**
- * Initialize the contents of the frame.
- */
- private void initialize() {
- //Default values
- slope = (float)1.1;
- maxError = (float)0.1;
-
-
- frmBPnet = new JFrame();
- frmBPnet.setTitle("Backpropagation network");
- frmBPnet.setBounds(100, 100, 778, 562);
- frmBPnet.setDefaultCloseOperation(JFrame.EXIT_ON_CLOSE);
- frmBPnet.getContentPane().setLayout(null);
-
-
-
- btnLearn = new JButton("Quick Learn");
- btnLearn.addActionListener(new ActionListener() {
-
-
- public void actionPerformed(ActionEvent e) {
-
- int iterations = neuralNet.learn(trainingData);
- changeAfterLearn();
- textFieldIterations.setText(String.valueOf(iterations));
- //JOptionPane.showMessageDialog(null, "Neural Net learned in " + iterations + " iterations.");
-
- }
- });
- btnLearn.setEnabled(false);
- btnLearn.setBounds(10, 188, 174, 23);
- frmBPnet.getContentPane().add(btnLearn);
-
- btnTestData = new JButton("Test data");
- btnTestData.addActionListener(new ActionListener() {
- public void actionPerformed(ActionEvent e) {
- btnTestData.setEnabled(false);
-
-
- String[] columnNames = new String[nrOfInputs + nrOfOutputs];
- for (int i = 0; i < nrOfInputs; i++) {
- columnNames[i] = inputNames.get(i);
-
- }
- for (int i = 0; i < nrOfOutputs; i++) {
- columnNames[nrOfInputs + i] = outputNames.get(i);
- }
- Float[][] fDataTable = new Float[nrOfTestElements][nrOfInputs + nrOfOutputs];
- String[] rows = testData.split("\n");
- for (int i = 0; i < nrOfTestElements; i++) {
- neuralNet.run(rows[i]);
- String output = neuralNet.getOutput();
- String[] cells = (rows[i] + " " + output).split(" ");
- for (int j = 0; j < nrOfInputs + nrOfOutputs; j++) {
- fDataTable[i][j] = Float.valueOf(cells[j]);
- }
- }
- tableTest = new JTable( fDataTable, columnNames);
- tableTest.setAutoResizeMode(JTable.AUTO_RESIZE_OFF);
- scrollPaneTest.setHorizontalScrollBarPolicy(ScrollPaneConstants.HORIZONTAL_SCROLLBAR_ALWAYS);
- scrollPaneTest.setViewportView(tableTest);
-
-
- }
- });
- btnTestData.setEnabled(false);
- btnTestData.setBounds(10, 222, 174, 23);
- frmBPnet.getContentPane().add(btnTestData);
-
- scrollPaneLearn = new JScrollPane();
- scrollPaneLearn.setBounds(10, 25, 368, 156);
- frmBPnet.getContentPane().add(scrollPaneLearn);
-
- scrollPaneTest = new JScrollPane();
- scrollPaneTest.setBounds(10, 267, 368, 160);
- frmBPnet.getContentPane().add(scrollPaneTest);
-
- JLabel lblNewLabel = new JLabel("Training data");
- lblNewLabel.setBounds(10, 11, 116, 14);
- frmBPnet.getContentPane().add(lblNewLabel);
-
- JLabel lblTestData = new JLabel("Test data");
- lblTestData.setBounds(10, 252, 103, 14);
- frmBPnet.getContentPane().add(lblTestData);
-
- JLabel lblTrainingProcess = new JLabel("Training modification");
- lblTrainingProcess.setBounds(386, 11, 132, 14);
- frmBPnet.getContentPane().add(lblTrainingProcess);
-
- btnDoSpecifiedLearn = new JButton("Do specified learn steps");
- btnDoSpecifiedLearn.addActionListener(new ActionListener() {
- public void actionPerformed(ActionEvent e) {
- boolean learned = false;
- int iter = 0;
- int maxIterations = (int)spinnerLearnSteps.getModel().getValue();
- ArrayList<String> trainingElements = new ArrayList<String>(Arrays.asList(trainingData.split("\n")));
-// float maxError = 0;
- while(!learned && (iter < maxIterations)) {
- neuralNet.setError(0);
- learned = true;
- for (int i = 0; i < trainingElements.size(); i++) {
- learned &= neuralNet.learnStep(trainingElements.get(i));
-// if (neuralNet.getError() > maxError) {
-// maxError = neuralNet.getError();
-// }
- }
- iter++;
- textFieldCurrentError.setText(String.valueOf(neuralNet.getError()));
-// System.out.println(iter);
- }
- if (learned) {
- changeAfterLearn();
- }
- int currentIter = Integer.parseInt(textFieldIterations.getText());
- textFieldIterations.setText(String.valueOf(currentIter + iter));
-
-
- }
- });
- btnDoSpecifiedLearn.setEnabled(false);
- btnDoSpecifiedLearn.setBounds(194, 188, 184, 23);
- frmBPnet.getContentPane().add(btnDoSpecifiedLearn);
-
- spinnerLearnSteps = new JSpinner();
- spinnerLearnSteps.setModel(new SpinnerNumberModel(1, 1, 100000, 1));
- spinnerLearnSteps.setEnabled(false);
- spinnerLearnSteps.setBounds(194, 223, 88, 20);
- frmBPnet.getContentPane().add(spinnerLearnSteps);
-
- textFieldIterations = new JTextField();
- textFieldIterations.setEnabled(false);
- textFieldIterations.setText("0");
- textFieldIterations.setBounds(292, 223, 86, 20);
- frmBPnet.getContentPane().add(textFieldIterations);
- textFieldIterations.setColumns(10);
-
- lblLearned = new JLabel("Not Learned");
- lblLearned.setForeground(Color.RED);
- lblLearned.setBackground(Color.LIGHT_GRAY);
- lblLearned.setBounds(514, 143, 74, 14);
- frmBPnet.getContentPane().add(lblLearned);
-
- lblLearnCoeff = new JLabel("Learn coeff");
- lblLearnCoeff.setBounds(388, 39, 79, 14);
- frmBPnet.getContentPane().add(lblLearnCoeff);
-
- lblSlopeLambda = new JLabel("Slope - lambda");
- lblSlopeLambda.setBounds(388, 64, 89, 14);
- frmBPnet.getContentPane().add(lblSlopeLambda);
-
-
-
- spinnerLearnCoeff = new JSpinner();
- spinnerLearnCoeff.addChangeListener(new ChangeListener() {
- public void stateChanged(ChangeEvent e) {
- learnCoeff = (float)spinnerLearnCoeff.getModel().getValue();
- if (neuralNet != null)
- neuralNet.changeLearnCoeffTo(learnCoeff);
- }
- });
- spinnerLearnCoeff.setEnabled(false);
- spinnerLearnCoeff.setModel(new SpinnerNumberModel(new Float(0.5), new Float(0.05), new Float(1), new Float(0.05)));
- JSpinner.NumberEditor editor = (JSpinner.NumberEditor)spinnerLearnCoeff.getEditor();
- DecimalFormat format = editor.getFormat();
- format.setMinimumFractionDigits(5);
- spinnerLearnCoeff.setBounds(499, 36, 74, 20);
- frmBPnet.getContentPane().add(spinnerLearnCoeff);
-
- slope = (float)1.1;
- spinnerSlope = new JSpinner();
- spinnerSlope.addChangeListener(new ChangeListener() {
- public void stateChanged(ChangeEvent e) {
- slope = (float)spinnerSlope.getModel().getValue();
- if (neuralNet != null)
- neuralNet.changeSlopeTo(slope);
- }
- });
- spinnerSlope.setEnabled(false);
- spinnerSlope.setBounds(499, 61, 74, 20);
- spinnerSlope.setModel(new SpinnerNumberModel(new Float(slope), new Float(0.05), null, new Float(0.05)));
- editor = (JSpinner.NumberEditor)spinnerSlope.getEditor();
- format = editor.getFormat();
- format.setMinimumFractionDigits(5);
- frmBPnet.getContentPane().add(spinnerSlope);
-
- lblMaxError = new JLabel("Max error");
- lblMaxError.setBounds(388, 89, 67, 14);
- frmBPnet.getContentPane().add(lblMaxError);
-
-
- maxError = (float)0.1;
- spinnerError = new JSpinner();
- spinnerError.addChangeListener(new ChangeListener() {
- public void stateChanged(ChangeEvent e) {
- maxError = (float)spinnerError.getModel().getValue();
- if (neuralNet != null)
- neuralNet.setTolerance(maxError);
- }
- });
- spinnerError.setEnabled(false);
- spinnerError.setBounds(499, 86, 74, 20);
- spinnerError.setModel(new SpinnerNumberModel(new Float(maxError), new Float(0.00001), new Float(100), new Float(0.00001)));
- editor = (JSpinner.NumberEditor)spinnerError.getEditor();
- format = editor.getFormat();
- format.setMinimumFractionDigits(5);
- frmBPnet.getContentPane().add(spinnerError);
-
- lblCurentError = new JLabel("Current Error");
- lblCurentError.setBounds(388, 115, 79, 14);
- frmBPnet.getContentPane().add(lblCurentError);
-
- textFieldCurrentError = new JTextField();
- textFieldCurrentError.setEnabled(false);
- textFieldCurrentError.setBounds(487, 112, 86, 20);
- frmBPnet.getContentPane().add(textFieldCurrentError);
- textFieldCurrentError.setColumns(10);
-
- JLabel lblChangeNetworkTopology = new JLabel("Change network topology");
- lblChangeNetworkTopology.setBounds(389, 168, 184, 14);
- frmBPnet.getContentPane().add(lblChangeNetworkTopology);
-
- textFieldTestElement = new JTextField();
- textFieldTestElement.setEnabled(false);
- textFieldTestElement.setBounds(10, 438, 272, 20);
- frmBPnet.getContentPane().add(textFieldTestElement);
- textFieldTestElement.setColumns(10);
-
- btnTestElement = new JButton("Run input");
- btnTestElement.addActionListener(new ActionListener() {
- public void actionPerformed(ActionEvent e) {
- String input = textFieldTestElement.getText();
- try {
- neuralNet.run(input);
- }
- catch(InvalidInputNumberException exception) {
- JOptionPane.showMessageDialog(null, "Invalid Input");
- }
- finally {
- String output = neuralNet.getOutput();
- textFieldTestOutput.setText(output);
- }
- }
- });
- btnTestElement.setEnabled(false);
- btnTestElement.setBounds(289, 437, 89, 23);
- frmBPnet.getContentPane().add(btnTestElement);
-
- textFieldTestOutput = new JTextField();
- textFieldTestOutput.setEnabled(false);
- textFieldTestOutput.setBounds(49, 471, 329, 20);
- frmBPnet.getContentPane().add(textFieldTestOutput);
- textFieldTestOutput.setColumns(10);
-
- JLabel lblOutput = new JLabel("Output");
- lblOutput.setBounds(10, 474, 46, 14);
- frmBPnet.getContentPane().add(lblOutput);
-
- btnResetWeights = new JButton("Reset weights");
- btnResetWeights.setEnabled(false);
- btnResetWeights.addActionListener(new ActionListener() {
- public void actionPerformed(ActionEvent e) {
- neuralNet.resetWeights();
- }
- });
- btnResetWeights.setBounds(388, 138, 116, 23);
- frmBPnet.getContentPane().add(btnResetWeights);
-
- panelTopology = new JPanel();
- panelTopology.setBounds(386, 213, 366, 214);
- frmBPnet.getContentPane().add(panelTopology);
-
- btnAddLayer = new JButton("Add layer");
- btnAddLayer.setEnabled(false);
- btnAddLayer.setBounds(386, 188, 89, 23);
- frmBPnet.getContentPane().add(btnAddLayer);
-
- spinnerLayer = new JSpinner();
- spinnerLayer.setEnabled(false);
- spinnerLayer.setBounds(499, 189, 40, 20);
- frmBPnet.getContentPane().add(spinnerLayer);
-
- spinnerLayerNeurons = new JSpinner();
- spinnerLayerNeurons.setEnabled(false);
- spinnerLayerNeurons.setBounds(571, 189, 40, 20);
- frmBPnet.getContentPane().add(spinnerLayerNeurons);
-
- JLabel lblTo = new JLabel("to");
- lblTo.setBounds(483, 192, 46, 14);
- frmBPnet.getContentPane().add(lblTo);
-
- JLabel lblWith = new JLabel("with");
- lblWith.setBounds(542, 192, 46, 14);
- frmBPnet.getContentPane().add(lblWith);
-
- JLabel lblNeurons = new JLabel("neurons");
- lblNeurons.setBounds(621, 192, 74, 14);
- frmBPnet.getContentPane().add(lblNeurons);
-
-
-
- JMenuBar menuBar = new JMenuBar();
- frmBPnet.setJMenuBar(menuBar);
-
-
- JMenu mnFile = new JMenu("File");
- menuBar.add(mnFile);
-
- JMenuItem mntmLoadData = new JMenuItem("Load data");
- mntmLoadData.addActionListener(new ActionListener() {
-
-
- public void actionPerformed(ActionEvent e) {
- JFileChooser fc = new JFileChooser();
- fc.setDialogType(JFileChooser.OPEN_DIALOG);
- FileFilter filter = new FileFilter() {
-
- @Override
- public String getDescription() {
- return "Txt files";
- }
-
- @Override
- public boolean accept(File f) {
- return (f.getName().endsWith(".txt") || f.isDirectory());
- }
- };
- fc.setFileFilter(filter);
-
-
-
- if (fc.showOpenDialog(frmBPnet) == JFileChooser.APPROVE_OPTION) {
- dataFile = fc.getSelectedFile();
- FileReader fr;
- try {
-
- spinnerLearnSteps.setEnabled(true);
- spinnerError.setEnabled(true);
- spinnerLearnCoeff.setEnabled(true);
- spinnerSlope.setEnabled(true);
- spinnerLearnCoeff.setValue(new Float((float)spinnerLearnCoeff.getValue()));
- spinnerSlope.setValue(spinnerSlope.getValue());
- spinnerError.setValue(spinnerError.getValue());
-
- //Parse data file
-
-
-
- fr = new FileReader(dataFile);
- StreamTokenizer tokenizer = new StreamTokenizer(fr);
- /*for (int i = 0; i < 6; i++ )
- tokenizer.nextToken();
- */
- while(true) {
- tokenizer.nextToken();
- if ((tokenizer.nextToken() == StreamTokenizer.TT_WORD) && tokenizer.sval.equals("vrstev")) {
- tokenizer.nextToken();
- break;
- }
- }
- nrOfLayers = (int)tokenizer.nval;
- while(tokenizer.nextToken() != StreamTokenizer.TT_NUMBER) {}
- nrOfInputs = (int)tokenizer.nval;
- tokenizer.nextToken();
- tokenizer.nextToken();
- tokenizer.nextToken();
- tokenizer.nextToken();
- inputRanges = new ArrayList<float[]>();
- inputNames = new ArrayList<String>();
- for (int i = 0; i < nrOfInputs; i++) {
- String inputName = tokenizer.sval;
- inputNames.add(inputName);
- tokenizer.nextToken();
- float[] dims = new float[2];
- dims[0] = (float)tokenizer.nval;
- tokenizer.nextToken();
- dims[1] = (float)tokenizer.nval;
- inputRanges.add(dims);
- tokenizer.nextToken();
- }
- /*for (int i = 0; i < 3; i++ )
- tokenizer.nextToken();*/
- while(tokenizer.nextToken() != StreamTokenizer.TT_NUMBER) {}
- nrOfNeuronsPerLayer = new ArrayList<Integer>();
- for (int i = 0; i < nrOfLayers; i++) {
- nrOfNeuronsPerLayer.add((int)tokenizer.nval);
- if (i == nrOfLayers - 1) {
- nrOfOutputs = (int)tokenizer.nval;
- }
- tokenizer.nextToken();
- }
- for (int i = 0; i < 3; i++ )
- tokenizer.nextToken();
- outputNames = new ArrayList<String>();
- for (int i = 0; i < nrOfOutputs; i++) {
- outputNames.add(tokenizer.sval);
- tokenizer.nextToken();
- }
- while(tokenizer.nextToken() != StreamTokenizer.TT_NUMBER) {}
- learnCoeff = (float)tokenizer.nval;
- spinnerLearnCoeff.getModel().setValue(new Float(learnCoeff));
- while(tokenizer.nextToken() != StreamTokenizer.TT_NUMBER) {}
- inertiaCoeff = (float)tokenizer.nval;
- /*for (int i = 0; i < 7; i++ )
- tokenizer.nextToken();*/
- while(tokenizer.nextToken() != StreamTokenizer.TT_NUMBER) {}
- nrOfTrainingElements = (int)tokenizer.nval;
- /*for (int i = 0; i < 4; i++ )
- tokenizer.nextToken();*/
- while(tokenizer.nextToken() != StreamTokenizer.TT_NUMBER) {}
- StringBuffer sb = new StringBuffer();
- for (int i = 0; i < nrOfTrainingElements; i++) {
- for (int j = 0; j < nrOfInputs; j++) {
- sb.append(String.valueOf(tokenizer.nval/(inputRanges.get(j)[1]-inputRanges.get(j)[0]) - inputRanges.get(j)[0]/(inputRanges.get(j)[1]-inputRanges.get(j)[0])));
- sb.append(" ");
- tokenizer.nextToken();
- }
- for (int j = 0; j < nrOfOutputs; j++) {
- sb.append(String.valueOf(tokenizer.nval));
- sb.append(" ");
- tokenizer.nextToken();
- }
- sb.deleteCharAt(sb.length() - 1);
- sb.append("\n");
- }
- trainingData = sb.toString();
- sb = new StringBuffer();
- /*for (int i = 0; i < 5; i++ )
- tokenizer.nextToken();*/
- while(tokenizer.nextToken() != StreamTokenizer.TT_NUMBER) {}
- nrOfTestElements = (int)tokenizer.nval;
- /*tokenizer.nextToken();*/
- if (nrOfTestElements > 0) {
- while(tokenizer.nextToken() != StreamTokenizer.TT_NUMBER) {}
- for (int i = 0; i < nrOfTestElements; i++) {
- for (int j = 0; j < nrOfInputs; j++) {
- sb.append(String.valueOf(String.valueOf(tokenizer.nval/(inputRanges.get(j)[1]-inputRanges.get(j)[0]) - inputRanges.get(j)[0]/(inputRanges.get(j)[1]-inputRanges.get(j)[0]))));
- sb.append(" ");
- tokenizer.nextToken();
- }
- sb.deleteCharAt(sb.lastIndexOf(" "));
- sb.append("\n");
- }
- testData = sb.substring(0,sb.lastIndexOf("\n"));
- } else {
- testData = "";
- }
- fr.close();
-
-
-
- neuralNet = new BPNet(maxError, nrOfLayers, nrOfInputs, nrOfNeuronsPerLayer, slope, learnCoeff);
- spinnerError.getModel().setValue(maxError);
- btnLearn.setEnabled(true);
- //Show learn table
- String[] columnNames = new String[nrOfInputs + nrOfOutputs];
- for (int i = 0; i < nrOfInputs; i++) {
- columnNames[i] = inputNames.get(i);
-
- }
- for (int i = 0; i < nrOfOutputs; i++) {
- columnNames[nrOfInputs + i] = outputNames.get(i);
- }
- Float[][] fDataTable = new Float[nrOfTrainingElements][nrOfInputs + nrOfOutputs];
- String[] rows = trainingData.split("\n");
- for (int i = 0; i < nrOfTrainingElements; i++) {
- String[] cells = rows[i].split(" ");
- for (int j = 0; j < nrOfInputs + nrOfOutputs; j++) {
- fDataTable[i][j] = Float.valueOf(cells[j]);
- }
- }
- tableLearn = new JTable( fDataTable, columnNames);
- tableLearn.setAutoResizeMode(JTable.AUTO_RESIZE_OFF);
- scrollPaneLearn.setHorizontalScrollBarPolicy(ScrollPaneConstants.HORIZONTAL_SCROLLBAR_ALWAYS);
- scrollPaneLearn.setViewportView(tableLearn);
- //Show test table
- columnNames = new String[nrOfInputs];
- for (int i = 0; i < nrOfInputs; i++) {
- columnNames[i] = inputNames.get(i);
- }
- fDataTable = new Float[nrOfTestElements][nrOfInputs];
- rows = testData.split("\n");
- for (int i = 0; i < nrOfTestElements; i++) {
- String[] cells = rows[i].split(" ");
- for (int j = 0; j < nrOfInputs; j++) {
- fDataTable[i][j] = Float.valueOf(cells[j]);
- }
- }
- tableTest = new JTable( fDataTable, columnNames);
- tableTest.setAutoResizeMode(JTable.AUTO_RESIZE_OFF);
- scrollPaneTest.setViewportView(tableTest);
- btnResetWeights.setEnabled(true);
- btnDoSpecifiedLearn.setEnabled(true);
- btnAddLayer.setEnabled(true);
- spinnerLayer.setEnabled(true);
- spinnerLayer.setModel(new SpinnerNumberModel(0, 0, neuralNet.getNrOfLayers(), 1));
- spinnerLayerNeurons.setEnabled(true);
- spinnerLayerNeurons.setModel(new SpinnerNumberModel(1, 1, null, 1));
-
- btnAddLayer.addActionListener(new ActionListener() {
- public void actionPerformed(ActionEvent e) {
- neuralNet.addNeuronLayer((Integer)spinnerLayerNeurons.getValue(), (Integer)spinnerLayer.getValue(), slope);
- refreshPanelTopology();
- }
- });
- refreshPanelTopology();
-
-
- } catch (FileNotFoundException e1) {
- e1.printStackTrace();
- JOptionPane.showMessageDialog(null, "Error: File not found");
- } catch (IOException e1) {
- e1.printStackTrace();
- JOptionPane.showMessageDialog(null, "IOException");
- }
-
-
- }
-
- }
-
- private void refreshPanelTopology() {
- panelTopology.setLayout(new GridLayout(neuralNet.getNrOfLayers() + 1, 4));
- panelTopology.removeAll();
- nrOfLayers = neuralNet.getNrOfLayers();
- String map = neuralNet.getNeuronMap();
- String[] layers = map.split(" ");
- spinnerLayer.setModel(new SpinnerNumberModel(0, 0, neuralNet.getNrOfLayers() - 1, 1));
- spinnerLayerNeurons.setModel(new SpinnerNumberModel(1, 1, null, 1));
- for (int i = 0; i < nrOfLayers; i++) {
- JLabel label = new JLabel(layers[nrOfLayers - 1 - i]);
- panelTopology.add(label);
- if (i > 0) {
- JButton btn1 = new JButton("Rmv neuron");
- JButton btn2 = new JButton("Rmv layer");
- JButton btn3 = new JButton("Add neuron");
- btn1.setName(String.valueOf(nrOfLayers - 1 - i));
- btn2.setName(String.valueOf(nrOfLayers - 1 - i));
- btn3.setName(String.valueOf(nrOfLayers - 1 - i));
- btn1.addActionListener(new ActionListener() {
-
- @Override
- public void actionPerformed(ActionEvent e) {
- String name = ((JButton)e.getSource()).getName();
- neuralNet.removeNeuron(Integer.parseInt(name));
- refreshPanelTopology();
- }
- });
- btn2.addActionListener(new ActionListener() {
-
- @Override
- public void actionPerformed(ActionEvent e) {
- String name = ((JButton)e.getSource()).getName();
- neuralNet.removeNeuronLayer(Integer.parseInt(name));
- refreshPanelTopology();
- }
- });
- btn3.addActionListener(new ActionListener() {
-
- @Override
- public void actionPerformed(ActionEvent e) {
- String name = ((JButton)e.getSource()).getName();
- neuralNet.addNeuron(Integer.parseInt(name), slope);
- refreshPanelTopology();
-
- }
- });
- panelTopology.add(btn1);
- panelTopology.add(btn2);
- panelTopology.add(btn3);
- } else {
- panelTopology.add(new JLabel(" "));
- panelTopology.add(new JLabel(" "));
- panelTopology.add(new JLabel(" "));
- }
- }
- panelTopology.add(new JLabel("Inputs"));
- panelTopology.add(new JLabel(String.valueOf(neuralNet.getNrOfInputs())));
- panelTopology.add(new JLabel(" "));
- panelTopology.add(new JLabel(" "));
- frmBPnet.revalidate();
- }
- });
- mnFile.add(mntmLoadData);
-
- JMenuItem mntmExit = new JMenuItem("Exit");
- mntmExit.addActionListener(new ActionListener() {
- public void actionPerformed(ActionEvent arg0) {
- frmBPnet.dispatchEvent(new WindowEvent(frmBPnet, WindowEvent.WINDOW_CLOSING));
- }
- });
-
- mntmSaveNeuralNet = new JMenuItem("Save Neural Net");
- mntmSaveNeuralNet.addActionListener(new ActionListener() {
- public void actionPerformed(ActionEvent e) {
- try {
- File address = null;
- JFileChooser fc = new JFileChooser();
- FileFilter filter = new FileFilter() {
-
- @Override
- public String getDescription() {
- return "Xml files";
- }
-
- @Override
- public boolean accept(File f) {
- return (f.getName().endsWith(".xml") || f.isDirectory());
- }
- };
- fc.setFileFilter(filter);
- fc.setCurrentDirectory(new java.io.File("."));
- //fc.setFileSelectionMode(JFileChooser.SAVE_DIALOG);
- if (fc.showSaveDialog(frmBPnet) == JFileChooser.APPROVE_OPTION) {
- address = fc.getSelectedFile();
- XStream xstream = new XStream();
- String xml = xstream.toXML(neuralNet);
- BufferedWriter out = new BufferedWriter(new FileWriter(address));
- out.write(xml);
- out.close();
-// BPNet testNet = (BPNet)xstream.fromXML(xml);
-
- JOptionPane.showMessageDialog(null, "Hotovo");
- }
- }
- catch (Exception ex) {
- ex.printStackTrace();
- JOptionPane.showMessageDialog(null, ex.getMessage());
- }
-
- }
- });
- mntmSaveNeuralNet.setEnabled(false);
- mnFile.add(mntmSaveNeuralNet);
- mnFile.add(mntmExit);
- }
-}
diff --git a/4neuro/java/src/SigmoidalNeuron.java b/4neuro/java/src/SigmoidalNeuron.java
deleted file mode 100644
index 706eea0f33efc56898645794d3acb358c2664ca0..0000000000000000000000000000000000000000
--- a/4neuro/java/src/SigmoidalNeuron.java
+++ /dev/null
@@ -1,53 +0,0 @@
-package cz.vsb.mro0010.neuralnetworks;
-
-public class SigmoidalNeuron extends Neuron {
-
- private float error; //delta
- private float slope; //lambda
-
-
-
-
- public void setSlope(float slope) {
- this.slope = slope;
- }
-
-
- public SigmoidalNeuron(float slope) {
- this.slope = slope;
- this.error = 0;
- }
-
-
- @Override
- public void transfer() {
- float z = this.getPotential();
- float y = (float) (1.0/(1.0 + Math.exp(-slope*z)));
- this.setState(y);
- }
-
-
- public float getSlope() {
- return slope;
- }
-
- public float getError() {
- return error;
- }
-
-
- public void setError(float error) {
- this.error = error;
- }
-
-
- public static void main(String args[]) {
- SigmoidalNeuron neuron = new SigmoidalNeuron((float)0.5);
- for (int i = -10; i <= 10; i++) {
- neuron.initialize();
- neuron.adjustPotential(i);
- neuron.transfer();
- System.out.println(neuron.getState());
- }
- }
-}
diff --git a/4neuro/java/src/SinglePerceptronNeuralNet.java b/4neuro/java/src/SinglePerceptronNeuralNet.java
deleted file mode 100644
index e741be2594a37de90b5b60c0c6a40bd2c1fbfbca..0000000000000000000000000000000000000000
--- a/4neuro/java/src/SinglePerceptronNeuralNet.java
+++ /dev/null
@@ -1,147 +0,0 @@
-package cz.vsb.mro0010.neuralnetworks;
-
-import java.util.ArrayList;
-import java.util.Arrays;
-
-public class SinglePerceptronNeuralNet extends NeuralNet {
-
- private Neuron neuron;
- private int nrOfInputs;
- private ArrayList<Connection> connections;
- private ArrayList<InputLayerPseudoNeuron> input;
- private String trainingOutput;
- private float learnCoef;
-
- public SinglePerceptronNeuralNet(Neuron neuron, int nrOfInputs, float learnCoef) {
- super();
- this.neuron = neuron;
- this.nrOfInputs = nrOfInputs;
- this.input = new ArrayList<InputLayerPseudoNeuron>();
- this.connections = new ArrayList<Connection>();
- for (int i = 0; i < this.nrOfInputs; i++) {
- InputLayerPseudoNeuron inputNeuron = new InputLayerPseudoNeuron();
- this.input.add(inputNeuron);
- this.connections.add(new Connection(inputNeuron, neuron, (float)Math.random()));
- }
- this.setTrainingOutput(" ");
- this.learnCoef = learnCoef;
- }
-
- @Override
- public String getNeuronType() {
- return neuron.getClass().getSimpleName();
- }
-
- @Override
- public int learn(String trainingSet) {
- ArrayList<String> trainingElements = new ArrayList<String>(Arrays.asList(trainingSet.split("\n")));
- boolean learned = false;
- int iterations = 0;
- StringBuffer trainingProgress = new StringBuffer();
- for (Connection c : connections) {
- trainingProgress.append(String.valueOf(c.getWeight()));
- trainingProgress.append(" ");
- }
- trainingProgress.append(String.valueOf(-neuron.getThreshold()));
- trainingProgress.append("\n");
- while (!learned) {
- iterations++;
- learned = true;
- for (String element : trainingElements) {
- String[] sa = element.split(" ");
- String expectedOutput = sa[sa.length - 1];
- StringBuffer sb = new StringBuffer();
- for (int i = 0; i < sa.length - 1; i++) {
- sb.append(sa[i]);
- sb.append(" ");
- }
- this.run(sb.toString());
-
- if (Float.parseFloat(expectedOutput) != Float.parseFloat(this.getOutput())) {
- learned = false;
- float eo = Float.parseFloat(expectedOutput);
- float ro = Float.parseFloat(this.getOutput());
- neuron.setThreshold(neuron.getThreshold() + learnCoef*-(eo-ro)*1); // w_0 = -threshold
- for (Connection c : connections) {
- c.adjustWeight(learnCoef*(eo-ro)*c.getInputNeuron().getState());
- }
- for (Connection c : connections) {
- trainingProgress.append(String.valueOf(c.getWeight()));
- trainingProgress.append(" ");
- }
- trainingProgress.append(String.valueOf(neuron.getThreshold()));
- trainingProgress.append("\n");
- }
- }
- }
- //System.out.println("Learned! in " + (iterations-1) + " iterations");
- this.setTrainingOutput(trainingProgress.toString());
- return iterations;
- }
-
- @Override
- public void run(String inputString) {
- String[] input = inputString.split(" ");
- for (int i = 0; i < input.length; i++) {
- InputLayerPseudoNeuron in = this.input.get(i);
- in.initialize();
- in.adjustPotential(Float.parseFloat(input[i]));
- in.transfer();
- }
- neuron.initialize();
- for (Connection c : connections) {
- c.passSignal();
- }
- neuron.transfer();
-
- }
-
- public String getOutput() {
- String output = String.valueOf(neuron.getState());
- return output;
- }
-
- public String getTrainingOutput() {
- return trainingOutput;
- }
-
- private void setTrainingOutput(String trainingOutput) {
- this.trainingOutput = trainingOutput;
- }
-
- /*public static void main(String[] args) {
- SinglePerceptronNeuralNet net = new SinglePerceptronNeuralNet(new BinaryNeuron(), 2, (float)0.7);
- net.neuron.setThreshold((float) Math.random());
-// String learnSet = "1 0.5 0\n0.4 0.8 1\n0.1 0.1 0\n0.6 0.9 1\n0.8 0.7 0\n0.4 1.0 1";
-// net.learn(learnSet);
-// net.run("0.7 0.9");
-// System.out.println(net.getOutput());
-// net.run("0.9 0.7");
-// System.out.println(net.getOutput());
-// net.run("0.2 0.2");
-// System.out.println(net.getOutput());
-// net.run("0.1 1.0");
-// System.out.println(net.getOutput());
-// net.run("1.0 0.1");
-// System.out.println(net.getOutput());
- String learnSet = "0.7 0.3 0\n0.2 0.6 1\n0.3 0.4 1\n0.9 0.8 0\n0.1 0.2 1\n0.5 0.6 1";
- net.learn(learnSet);
- net.run("0.7 0.9");
- System.out.println(net.getOutput());
- net.run("0.9 0.7");
- System.out.println(net.getOutput());
- net.run("0.2 0.2");
- System.out.println(net.getOutput());
- net.run("0.1 1.0");
- System.out.println(net.getOutput());
- net.run("1.0 0.1");
- System.out.println(net.getOutput());
- net.run("0.6 0.5");
- System.out.println(net.getOutput());
- net.run("0.5 0.6");
- System.out.println(net.getOutput());
- }*/
-
-
-
-}
diff --git a/4neuro/run_tests.sh b/4neuro/run_tests.sh
deleted file mode 100644
index d3eb12a54d7e06f2221eca4b5fe9dadf0f56763a..0000000000000000000000000000000000000000
--- a/4neuro/run_tests.sh
+++ /dev/null
@@ -1,6 +0,0 @@
-#!/bin/bash
-
-cd build;
-
-./connection_test.out
-funit connection_m
diff --git a/4neuro/src/CMakeLists.txt b/4neuro/src/CMakeLists.txt
deleted file mode 100644
index 5a2e0ac728d8eea07500642edfcbda4f41017a83..0000000000000000000000000000000000000000
--- a/4neuro/src/CMakeLists.txt
+++ /dev/null
@@ -1,12 +0,0 @@
-project(Modules)
-enable_language(Fortran)
-
-set(standard "-std=f2008")
-set(CMAKE_Fortran_FLAGS "${standard}")
-
-add_library(neuron_dummy_m SHARED neuron_dummy_m.f90)
-set_target_properties(neuron_dummy_m PROPERTIES LINKER_LANGUAGE Fortran)
-
-add_library(connection_m SHARED connection_m.f90)
-set_target_properties(connection_m PROPERTIES LINKER_LANGUAGE Fortran)
-target_link_libraries(connection_m neuron_dummy_m)
diff --git a/4neuro/src/connection_m.f90 b/4neuro/src/connection_m.f90
deleted file mode 100644
index 6358244430cd9bf7c946dcf4bb74b1854c9fdddd..0000000000000000000000000000000000000000
--- a/4neuro/src/connection_m.f90
+++ /dev/null
@@ -1,175 +0,0 @@
-!> Module containing classes representing connections (synapses)
-!! in neural networks.
-!!
-!! It uses `neural_t` class.
-!!
-!! @author Martin Beseda
-!! @author Martin Mrovec
-!! @date 2017
-!! @todo Implement destructor
-!! @todo Comment constructor
-module connection_m
- ! TODO Implement destructor
- use neuron_dummy_m
-
- implicit none
-
- public
-
- !------------------!------------------------------------------------------------------------
- ! Type definitions !
- !------------------!
-
- !> Represents a connection between two neurons.
- type, abstract :: connection_t
- private
-
- class(neuron_t), pointer :: input_neuron !< Pointer to an input neuron
- class(neuron_t), pointer :: output_neuron !< Pointer to an output neuron
- real :: weight !< Weight of the connection
-
- contains
-
- !> Initializes the common connection_t class components
- !! 'input_neuron', 'output_neuron' and 'weight'.
- !! I.e. serves similarly to an abstract constructor.
- procedure, private :: init_components => init_components_impl
-
- !procedure :: destroy_instance => destroy_instance_impl
-
- !final, deferred :: destructor
-
- !> Adds a given value to the current weight of the
- !! connection.
- !! @param added_value Number (real) to be added to the current weight
- procedure :: adjust_weight => adjust_weight_impl
-
- !> Getter for the private 'input_neuron' component
- !! @return Pointer to the input neuron (type neuron_t, pointer)
- procedure :: get_input_neuron => get_input_neuron_impl
-
- !> Getter for the private 'output_neuron' component
- !! @return Pointer to the output neuron (type neuron_t, pointer)
- procedure :: get_output_neuron => get_output_neuron_impl
-
- !> Getter for the private 'weight' component
- !! @return Weight of the connection (type real)
- procedure :: get_weight => get_weight_impl
-
- end type connection_t
-
- !> Represents a connection between two neurons.
- !! Able to pass a signal from an input neuron to
- !! an output one.
- type, extends(connection_t) :: interval_connection_t
- contains
-
- !> Passes (assigns) the product
- !! input neuron state * weight)
- !! to an output neuron.
- procedure :: pass_signal => pass_signal_impl
- end type interval_connection_t
-
- !------------!------------------------------------------------------------------------------
- ! Interfaces !
- !------------!
- interface interval_connection_t
- !> Constructor of interval_connection_t class
- module procedure :: new_interval_connection
- end interface interval_connection_t
-
- contains
- !------------------------!------------------------------------------------------------------
- ! Method implementations !
- ! -----------------------!
-
- !subroutine destroy_instance_impl(this)
- ! class(connection_t), pointer, intent(out) :: this
-
- ! deallocate(this)
- !end subroutine destroy_instance_impl
-
- !--------------------!
- ! class connection_t !
- !--------------------!
- subroutine init_components_impl(this, input_neuron, output_neuron, weight)
- class(connection_t), intent(inout) :: this
- type(neuron_t), pointer :: input_neuron
- type(neuron_t), pointer :: output_neuron
- real, intent(in) :: weight
-
- !DEC$ IF DEFINED TIME_PROFILING
- real :: t1, t2 !< Variables used for time measurement
- call cpu_time(t1)
- !DEC$ ENDIF
-
- this%input_neuron => input_neuron
- this%output_neuron => output_neuron
- this%weight = weight
-
-
- !DEC$ IF DEFINED TIME_PROFILING
- call cpu_time(t2)
- write(*, "(A)") '+----------------+'
- write(*, "(A, E15.7, A)") '| TIME PROFILING | Function init_components() was running for ', t2-t1, 's.'
- write(*, "(A)") '+----------------+'
- !DEC$ ENDIF
- end subroutine init_components_impl
-
- subroutine adjust_weight_impl(this, added_value)
- class(connection_t), intent(inout) :: this
- real, intent(in) :: added_value
-
- this%weight = this%weight + added_value
- end subroutine adjust_weight_impl
-
- !-----------------------------!
- ! class interval_connection_t !
- !-----------------------------!
- subroutine pass_signal_impl(this)
- class(interval_connection_t), intent(in) :: this
-
- call this%output_neuron%set_state(this%input_neuron%get_state() * this%weight)
- end subroutine pass_signal_impl
-
- !--------------!------------------------------------------------------------------------
- ! Constructors !
- !--------------!
- function new_interval_connection(input_neuron, output_neuron, weight) result(ret_obj)
- type(neuron_t), pointer :: input_neuron
- type(neuron_t), pointer :: output_neuron
- real, intent(in) :: weight
- type(interval_connection_t), pointer :: ret_obj
-
- allocate(ret_obj)
-
- call ret_obj%init_components(input_neuron, output_neuron, weight)
- end function new_interval_connection
-
- !-------------------!-------------------------------------------------------------------
- ! Getters & Setters !
- !-------------------!
-
- function get_input_neuron_impl(this) result (input_neuron)
- class(connection_t), target, intent(in) :: this
- class(neuron_t), pointer :: input_neuron
-
- input_neuron => this%input_neuron
- end function get_input_neuron_impl
-
- function get_output_neuron_impl(this) result (output_neuron)
- class(connection_t), target, intent(in) :: this
- class(neuron_t), pointer :: output_neuron
-
- output_neuron => this%output_neuron
- end function get_output_neuron_impl
-
- function get_weight_impl(this) result (weight)
- class(connection_t), intent(in) :: this
- real :: weight
-
- weight = this%weight
- end function get_weight_impl
-
- end module connection_m
-
diff --git a/4neuro/src/connection_m.fun b/4neuro/src/connection_m.fun
deleted file mode 100644
index d035da7257d5ef0dfbca42d171ad81ea7164af53..0000000000000000000000000000000000000000
--- a/4neuro/src/connection_m.fun
+++ /dev/null
@@ -1,65 +0,0 @@
-test_suite connection_m
-
-! Global variables declaration
-type(neuron_t), target :: n1
-type(neuron_t), target :: n2
-
-type(neuron_t), pointer :: n1_p
-type(neuron_t), pointer :: n2_p
-
-type(neuron_t), pointer :: dummy_p
-
-type(interval_connection_t), pointer :: con
-
-! Setup before each test
-setup
- write(*,*) 'Creating instances of the class neuron_t...'
- n1 = neuron_t(21.3)
- n2 = neuron_t(13.7)
- write(*,*) 'Assigning instances to pointer...'
- n1_p => n1
- n2_p => n2
- print *, 'Creating an instance of the class interval_connection_t...'
- con => interval_connection_t(n1_p, n2_p, 5.25)
- nullify(dummy_p)
-end setup
-
-! After each test do the cleanup
-teardown
- write(*,*) 'Deallocating everything.'
- deallocate(con)
- deallocate(n1_p)
- deallocate(n2_p)
- nullify(dummy_p)
-end teardown
-
-! Test of getters and setters
-test getters_setters
- write(*,*) 'Test of getters and setters.'
- ! Test of get_weight
- assert_real_equal(con%get_weight(), 5.25e+0)
- ! Test of adjust_weight
- call con%adjust_weight(1.0)
- assert_real_equal(con%get_weight(), 6.25e+0)
-
-end test
-
-test input_and_output_neurons
- write(*,*) 'Test of input and output neurons.'
- ! Input neuron
- dummy_p => con%get_input_neuron()
- assert_real_equal(dummy_p%get_state(),21.3d+0)
- ! Output neuron
- dummy_p => con%get_output_neuron()
- assert_real_equal(dummy_p%get_state(),13.7d+0)
-end test
-
-test pass_signal
- write(*,*) 'Test of passing a signal.'
- dummy_p => con%get_input_neuron()
- call con%pass_signal()
- assert_real_equal(dummy_p%get_state(), 111.825d+0)
-
-end test
-
-end test_suite
diff --git a/4neuro/src/connection_test.f90 b/4neuro/src/connection_test.f90
deleted file mode 100644
index 16883f5fa8bb655c4fc2f85f717edcec2da31325..0000000000000000000000000000000000000000
--- a/4neuro/src/connection_test.f90
+++ /dev/null
@@ -1,86 +0,0 @@
-program connection_test
- use connection_m
- use neuron_dummy_m
-
- type(neuron_t), target :: n1
- type(neuron_t), target :: n2
-
- type(neuron_t), pointer :: n1_p
- type(neuron_t), pointer :: n2_p
- type(neuron_t), pointer :: dummy_p
-
- type(interval_connection_t), pointer :: con
-
- print *, '+---------------------------------------------+'
- print *, '| STARTING TESTING OF THE MODULE CONNECTION_M |'
- print *, '+---------------------------------------------+'
-
- print *, 'Creating instances of the class neuron_t...'
- n1 = neuron_t(21.3)
- n2 = neuron_t(13.7)
- print *, 'neuron_t instances were created successfully.'
-
- print *, 'Assigning instances to pointer...'
- n1_p => n1
- n2_p => n2
- print *, 'Assignment was successful.'
-
- print *, 'Creating an instance of the class interval_connection_t...'
- con => interval_connection_t(n1_p, n2_p, 5.25)
- print *, 'The instance of the class interval_connection_t was created successfully.'
-
- print *, 'Testing get_weight() method...'
- if(con%get_weight() == 5.25) then
- print *, 'Test of get_weight() was successfull.'
- else
- print *, 'ERROR testing method get_weight()!'
- stop -1
- end if
-
- print *, 'Testing adjust_weight() method...'
- call con%adjust_weight(1.0)
- if(con%get_weight() == 6.25) then
- print *, 'Test of adjust_weight() was successful.'
- else
- print *, 'ERROR testing method adjust_weight()!'
- stop -1
- end if
-
- print *, 'Assigning input neuron to a pointer using get_input_neuron()...'
- dummy_p => con%get_input_neuron()
- print *, 'Assignment was successful.'
-
- print *, 'Testing method get_state() on the input neuron...'
- if(dummy_p%get_state() == 21.3) then
- print *, 'Test was successful.'
- else
- print *, 'ERROR using method get_state() on the input neuron!'
- stop -1
- end if
-
- print *, 'Assigning output neuron to a pointer using get_output_neuron()...'
- dummy_p => con%get_output_neuron()
- print *, 'Assignment was successful.'
-
- print *, 'Testing method get_state() on the output neuron...'
- if(dummy_p%get_state() == 13.7) then
- print *, 'Test was successful.'
- else
- print *, 'ERROR using method get_state() on the output neuron!'
- stop -1
- end if
-
- print *, 'Assigning the value input*weight to the output neuron using method pass_signal()...'
- call con%pass_signal()
- print *, 'Retrieving state of the output neuron and testing the value...'
- if(dummy_p%get_state() == 133.125) then
- print *, 'Test was successful.'
- else
- print *, 'ERROR using method pass_signal()!'
- stop -1
- end if
-
- print *, '+-------------------------------------------------------------+'
- print *, '| ALL TESTS OF THE MODULE CONNECTION_M WERE RUN SUCCESSFULLY. |'
- print *, '+-------------------------------------------------------------+'
-end program connection_test
diff --git a/4neuro/src/neuron_dummy_m.f90 b/4neuro/src/neuron_dummy_m.f90
deleted file mode 100644
index 63c6a076ebd98ad275dddc92c803b010ee8b548a..0000000000000000000000000000000000000000
--- a/4neuro/src/neuron_dummy_m.f90
+++ /dev/null
@@ -1,39 +0,0 @@
-module neuron_dummy_m
- implicit none
-
- public
-
- ! TODO smazat
- !> neuron class
- type :: neuron_t
- real :: state
-
- contains
- procedure :: get_state => get_state_impl
- procedure :: set_state => set_state_impl
- end type neuron_t
-
- contains
-
- !--------------!
- ! class neuron_t !
- !--------------!
- ! TODO smazat
- function get_state_impl(this) result(state)
- class(neuron_t), intent(in) :: this
- real :: state
-
- state = this%state
- end function get_state_impl
-
- ! TODO smazat
- subroutine set_state_impl(this, new_state)
- class(neuron_t), target :: this
- real, intent(in) :: new_state
-
- this%state = new_state
- end subroutine set_state_impl
-
-
-
-end module