options.settings

# -*- mode:python;indent-tabs-mode:nil;show-trailing-whitespace:t; -*-
# (c) Copyright Rosetta Commons Member Institutions.
# (c) This file is part of the Rosetta software suite and is made available under license.
# (c) The Rosetta software is developed by the contributing members of the Rosetta Commons.
# (c) For more information, see http://www.rosettacommons.org. Questions about this can be
# (c) addressed to University of Washington CoMotion, email: license@uw.edu.

# Supported options
options = {

    "cxx" : {
        "gcc"     : [ "4.7","4.8", '4.9', '5.1', '5.2', '5.3', '5.4', '6.1', '6.2', '6.3', "*" ],
        "icc"     : [ "13.1", "*" ], #PBHACK
        "msvc"    : [ "7.0", "7.1", "8.0", "8.1", "*" ],
        "xlc"     : [ "7.0", "8.0", "9.0", "XL", "*" ],
        "clang"   : [ '3.3', '3.4', '3.5', "3.4-1ubuntu3", "3.5-1ubuntu1", "3.6", "3.7", "3.8", "3.9", "4.0", "4.1", "4.2", "5.0", "5.1", "*" ],
        "*"       : [ '*' ],
    },

    "os" : {
        "linux"   : [ "2.6", "*"],
        "windows" : [ "2000", "XP", "Vista", "*" ],
        "macos"   : [ "10.4", "*" ],
        "cygwin"  : [ "*" ],
        "*"       : [ "*" ],
    },

    "arch" : {
        "x86"     : [ "32", "64", "*" ],
        # XXX: It's not clear if "amd" is a meaningful category
        "amd"     : [ "32", "64", "*" ],
        "ppc"     : [ "32", "64", "*" ],
        "ppc64"     : [ "64" ],
        "arm" : ["64", "*"],
        "power4"  : [ "32", "64", "*" ],
        "*"       : [ "*" ],
        "aarch64":["64"], # Added by Yinying for aarch64
    },

    "mode" : [
        "debug",
        "release",
        "release_native", # Build with -Ofast instead of -O3. Also activates -march=native and -mtune=native so you only want to run this on the computer that compiled it
        "release_symbols",  # Like release, but with debugging symbols attached
        "release_debug",    # Debug mode, but with release optimizations
        "release_debug_no_symbols", # release_debug, with symbols removed
        "profile",
        "coverage",
        "addsan", # Mode adding special instrumentation to check for (sanitize) address errors
        "memsan", # Mode adding special instrumentation to check for (sanitize) memory errors
        "tsan",   # Mode adding special instrumentation to check for (sanitize) thread safety issues
        "ubsan",  # Mode adding special instrumentation to check for (sanitize) undefined behavior

        #"pyrosetta", # PyRosetta is no longer built with scons -- see src/python/PyRosetta/build.py instead for settings
        #"pyrosetta_debug", # PyRosetta is no longer built with scons -- see src/python/PyRosetta/build.py instead for setting
    ],

    "cat" : [
        "src",
        "external",
        "test",
        "doc",
    ],

    # "binary" : [
    #     "program",              # Executable
    #     "static",               # Static library (archive)
    #     "shared"                # Dynamic library (dll)
    # ],

    "extras" : [
        #Use c++14. Defines CXX14, CXX14_OR_LATER
        "cxx14",

        #Use c++17. Defines CXX17, CXX17_OR_LATER, CXX14_OR_LATER
        "cxx17",

        #Use c++20. Defines CXX20, CXX20_OR_LATER, CXX17_OR_LATER, CXX14_OR_LATER
        "cxx20",

        # Enable BOINC.  Used by rosetta@home
        "boinc",

        # Build documentation quickly but without graphs (don't use dot)
        "fastdocs",

        # Build documentation with a full call graph (takes _forever_)
        "fulldocs",

        # Enable the (experimental?) graphical GUI
        "graphics",

        # Enable the use of the Message Passing Interface
        "mpi",

        # # Enable pre-compiled headers.  Experimental: speeds up build.
        # "precompile",

        # Enable runtime error checking
        "runtimecheck",

        # Build so that valgrind can follow the memory use.
        # Valgrind normally works fine with most executables but not
        # with static builds, which we are doing.
        "valgrind",

        # Build using static linking.
        "static",

        # Add -pg flag for use with gprof.
        "gprof",

        # Use the GCOV code coverage tool (only for GCC compiler).
        "gcov",

        # Build with floats rather than doubles.
        "rosetta_float",

        # Build with Boost libraries.
        "boost",

        # Enable OpenMP
        "omp",

        # Link to python interpreter
        "python",

        #enable mysql database support
        "mysql",

        #enable postgres database support
        "postgres",

        # Build with CUDA
        "cuda",

        # Build with OpenCL
        "opencl",

        # Build with Math Kernel Library (Intel, Stampede)
        "mkl",

        # Build boost MPI and serialization dependent code (requires these libraries to be installed in /usr/local/lib)

        # Build boost MPI and serialization dependent code (requires these libraries to be installed in /usr/local/lib)
        "boost_mpi",

       	# Build using link-time optimization. Include whole program optimization as well
        "lto",

        # Build with Boost thread library
        "boost_thread",

        # Enable HDF5 file stores
        "hdf5",

        # Build with the C++11 thread utilities enabled
        "cxx11thread",

	# Build with (C++11) serialization
	"serialization",

	# Build with boost non-intrusive pointers
	"ptr_boost",

	# Enable APBS integration
	"apbs",

	# Build for Android ARM
	"android_arm",

	# Build with ZeroMQ library (also imply  serialization)
	"zeromq",

	# Build linking prebuilt Tensorflow CPU libraries.
	# Note that these must be added to the LIBRARY_PATH and LD_LIBRARY_PATH environment variables,
	# and the user.settings file must import the OS environment.  Alternatively, these libraries
	# must be installed in /user/local/lib.
	# Note that there's no check that we're actually linking the CPU library and not the GPU library.
	"tensorflow",

	# Build linking prebuilt Tensorflow GPU libraries.
	# Note that these must be added to the LIBRARY_PATH and LD_LIBRARY_PATH environment variables,
	# and the user.settings file must import the OS environment.  Alternatively, these libraries
	# must be installed in /user/local/lib.  The GPU libraries have additional dependencies, such as
	# CUDA and CUDNN.
	# Note that there's no check that we're actually linking the GPU library and not the CPU library.
	"tensorflow_gpu",

	# BCL
	"bcl",
    ],


    # Log debugging output

    "log" : [
        "environment",
        "options",
        "platform",
        "projects",
        "settings",
        "targets",
        "toplevel",
    ],

}