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[genann] Add new port. (#7195)
* [genann] Add new port. * change version to date
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25
ports/genann/CMakeLists.txt
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25
ports/genann/CMakeLists.txt
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cmake_minimum_required(VERSION 3.11)
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project(genann)
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set(SRC_FILES
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genann.c
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)
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add_library(genann ${SRC_FILES})
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target_include_directories(genann PUBLIC
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$<BUILD_INTERFACE:${CMAKE_CURRENT_SOURCE_DIR}/src>
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$<INSTALL_INTERFACE:include/genann>
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)
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# Install targets
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install(TARGETS genann
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RUNTIME DESTINATION bin
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LIBRARY DESTINATION lib
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ARCHIVE DESTINATION lib
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)
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# Install headers
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if (INSTALL_HEADERS)
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install(FILES ${CMAKE_CURRENT_SOURCE_DIR}/genann.h DESTINATION include/genann)
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endif()
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4
ports/genann/CONTROL
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ports/genann/CONTROL
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Source: genann
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Version: 2019-07-10
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Homepage: https://github.com/codeplea/genann
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Description: Genann is a minimal, well-tested library for training and using feedforward artificial neural networks (ANN) in C.
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ports/genann/portfile.cmake
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ports/genann/portfile.cmake
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include(vcpkg_common_functions)
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vcpkg_check_linkage(ONLY_STATIC_LIBRARY)
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vcpkg_from_github(
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OUT_SOURCE_PATH SOURCE_PATH
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REPO codeplea/genann
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REF 122243f9449b3e33a4e11450b70c10576d4559d7
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SHA512 d70cb8bc678d80ed3e790866f6060850cf9309eefe90d3ca4d77e28538639a927333d49c4d1af3e81123b8e88224f2f51b74ec41ca22639a276359568652ed15
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HEAD_REF master
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)
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file(COPY ${CMAKE_CURRENT_LIST_DIR}/CMakeLists.txt DESTINATION ${SOURCE_PATH})
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vcpkg_configure_cmake(
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SOURCE_PATH ${SOURCE_PATH}
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PREFER_NINJA
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OPTIONS_RELEASE -DINSTALL_HEADERS=ON
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OPTIONS_DEBUG -DINSTALL_HEADERS=OFF
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)
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vcpkg_install_cmake()
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# Handle copyright
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file(COPY ${SOURCE_PATH}/LICENSE DESTINATION ${CURRENT_PACKAGES_DIR}/share/genann)
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file(RENAME ${CURRENT_PACKAGES_DIR}/share/genann/LICENSE ${CURRENT_PACKAGES_DIR}/share/genann/copyright)
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