#!/usr/bin/env python

# Copyright (C) 2009 by Wilson W. L. Fung
# and the University of British Columbia, Vancouver, 
# BC V6T 1Z4, All Rights Reserved.
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# NOTE: The files libcuda/cuda_runtime_api.c and src/cuda-sim/cuda-math.h
# are derived from the CUDA Toolset available from http://www.nvidia.com/cuda
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# Using this version of GPGPU-Sim requires a complete installation of CUDA 
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# 4. This version of GPGPU-SIM is distributed freely for non-commercial use only.  
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# 6. GPGPU-SIM was developed primarily by Tor M. Aamodt, Wilson W. L. Fung, 
# Ali Bakhoda, George L. Yuan, at the University of British Columbia, 
# Vancouver, BC V6T 1Z4


import configparser, os

userSettingPath = os.path.join(os.environ['HOME'], '.gpgpu_sim', 'aerialvision')

# Globally available configuration options for AerialVision
class AerialVisionConfig:

    def __init__(self):
        self.config = configparser.SafeConfigParser()
        self.config.read( os.path.join(userSettingPath, 'config.rc') )

    def print_all(self):
        for section in self.config.sections():
            for option in self.config.options(section):
                value = self.config.get(section, option)
                print("\t%s.%s = %s" % (section, option, value));

    def get_value(self, section, option, default):
        if (self.config.has_option(section, option)):
            return self.config.get(section, option)
        else:
            return default

# This is the object containing all the options
avconfig = AerialVisionConfig()


#Unit test / configviewer
def main():
    print("AerialVision Options:")
    avconfig.print_all()
    print("");

if __name__ == "__main__":
    main()