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@ -4,49 +4,54 @@ About Autocmake
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===============
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You typically want to use CMake when you get tired of manually editing
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Makefiles. Autocmake is for people who are tired of editing CMake files.
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Autocmake assembles CMake modules, generates ``CMakeLists.txt`` as well as
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``setup.py``, which serves as a front-end to ``CMakeLists.txt``. All this is
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done based on a lightweight ``autocmake.cfg`` file::
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Makefiles. Autocmake is for people who are tired of editing CMake files
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directly. Autocmake assembles CMake modules, generates ``CMakeLists.txt`` as
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well as ``setup.py``, which serves as a front-end to ``CMakeLists.txt``. All
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this is done based on a lightweight ``autocmake.cfg`` file::
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update.py --self
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| fetches Autocmake infrastructure
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v
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autocmake.cfg
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| update.py
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v
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| fetches Autocmake |
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| infrastructure |
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v Developer maintaining
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autocmake.cfg Autocmake
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| update.py |
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v v
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CMakeLists.txt (and setup.py front-end)
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| setup.py (which invokes CMake)
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v
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Makefile (or something else)
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| make
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v
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| setup.py |
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| which invokes CMake |
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v User of the code
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Makefile (or something else) |
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| make |
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v v
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Build/install/test targets
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Why Autocmake
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-------------
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The main motivation for us to create Autocmake as a CMake framework library was
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to simplify CMake code transfer between codes. We got tired of manually diffing
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and copy-pasting boiler-plate CMake code and watching it diverge while
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maintaining the CMake infrastructure in a growing number of scientific projects
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which typically have very similar requirements:
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The main motivation for us to create Autocmake as a CMake framework library and
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CMake module composer was to simplify CMake code transfer between codes. We got
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tired of manually diffing and copy-pasting boiler-plate CMake code and watching
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it diverge while maintaining the CMake infrastructure in a growing number of
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scientific projects which typically have very similar requirements:
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- Fortran and/or C and/or C++ support
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- Compiler flags
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- Front-end script (setup.py)
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- Tuning of compiler flags
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- Front-end script for the CMake-unaware user (setup.py)
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- Support for parallelization: MPI, OMP, CUDA
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- Math libraries (BLAS, LAPACK)
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- Math libraries: BLAS, LAPACK
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Our other motivation for Autocmake was to make it easier for developers who do
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not know CMake to generate a CMake infrastructure within minutes.
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not know CMake to generate a CMake infrastructure within minutes by providing
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a higher-level entry point.
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Autocmake is a chance to provide well documented and tested set of CMake
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Autocmake is a chance to provide a well documented and tested set of CMake
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plug-ins. With this we wish to give also users of codes the opportunity to
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introduce the occasional tweak without the need to read CMake documentation.
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@ -61,6 +66,5 @@ possible and to minimize "hidden" actions in the background.
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Convention over configuration
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-----------------------------
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Our guideline is to follow good established conventions
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to allow users and developers to recognize the configuration
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when moving to a new project.
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Our guideline is to follow good established conventions in order to allow users
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and developers to recognize the configuration when moving to a new project.
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