Example #1
0
def load_config_files(config):
    """Read in config file information for files

    Parameters
    ----------
    config : ConfigParser.ConfigParser object

    Returns
    -------
    A list of the following values taken from the .cfg file:
    datafile, phtn_src, mcnp_n_problem, mcnp_p_problem
    """

    # Required input files
    if config.has_option('r2s-files', 'step2_datafile'):
        datafile = get_input_file(config, 'step2_datafile')
    else:
        datafile = get_input_file(config, 'step1_datafile')

    phtn_src = get_input_file(config, 'alara_phtn_src')

    # Filenames
    mcnp_p_problem = None
    if config.has_option('r2s-files','photon_mcnp_input'):
        mcnp_n_problem = config.get('r2s-files','neutron_mcnp_input')
        mcnp_p_problem = config.get('r2s-files','photon_mcnp_input')
        
    return (datafile, phtn_src, mcnp_n_problem, mcnp_p_problem)
Example #2
0
def load_config_files(config):
    """Read in config file information for files

    Parameters
    ----------
    config : ConfigParser.ConfigParser object

    Returns
    -------
    A list of the following values taken from the .cfg file:
    datafile, phtn_src, mcnp_n_problem, mcnp_p_problem
    """

    # Required input files
    if config.has_option('r2s-files', 'step2_datafile'):
        datafile = get_input_file(config, 'step2_datafile')
    else:
        datafile = get_input_file(config, 'step1_datafile')

    phtn_src = get_input_file(config, 'alara_phtn_src')

    # Filenames
    mcnp_p_problem = None
    if config.has_option('r2s-files', 'photon_mcnp_input'):
        mcnp_n_problem = config.get('r2s-files', 'neutron_mcnp_input')
        mcnp_p_problem = config.get('r2s-files', 'photon_mcnp_input')

    # Optional gammas file entry
    gammas = "gammas"
    if config.has_option('r2s-files', 'gammas'):
        gammas = config.get('r2s-files', 'gammas')
        
    return (datafile, phtn_src, mcnp_n_problem, mcnp_p_problem, gammas)
Example #3
0

cfgfile = 'r2s.cfg'
if len(sys.argv) > 1:
    cfgfile = sys.argv[1]

config = ConfigParser.SafeConfigParser()
config.read(cfgfile)


###########################
# Read in config file information

# Required input files
if config.has_option('r2s-files', 'step2_datafile'):
    datafile = get_input_file(config, 'step2_datafile')
else:
    datafile = get_input_file(config, 'step1_datafile')

phtn_src = get_input_file(config, 'alara_phtn_src')


# Filenames
mcnp_p_problem = None
if config.has_option('r2s-files','photon_mcnp_input'):
    mcnp_n_problem = config.get('r2s-files','neutron_mcnp_input')
    mcnp_p_problem = config.get('r2s-files','photon_mcnp_input')
    

# Read other parameters from r2s.cfg
Example #4
0
    cfgfile = sys.argv[1]

config = ConfigParser.SafeConfigParser()
config.read(cfgfile)

# Get isotopes and cooling times

# Filenames
mcnp_p_problem = None
if config.has_option('r2s-files','photon_mcnp_input'):
    #mcnp_n_problem = get_input_file(config,'neutron_mcnp_input')
    mcnp_n_problem = config.get('r2s-files','neutron_mcnp_input')
    mcnp_p_problem = config.get('r2s-files','photon_mcnp_input')

datafile = config.get('r2s-files','step1_datafile')
phtn_src = get_input_file(config, 'alara_phtn_src')

#defaults
iso_list = ['TOTAL']
cool_list = ['shutdown', '1 d']
path_list = list()

if config.has_section('r2s-params'):
    opt_isotope = config.get('r2s-params','photon_isotope')
    opt_cooling = config.get('r2s-params','photon_cooling')
else:
    sys.exit("ERROR: r2s-params section required in your config file " \
            "({0})".format(cfgfile))

thisdir = os.curdir
Example #5
0
        oldx = x
    
    return centers

#####################################################################

# Look for and open configuration file for r2s workflow
cfgfile = 'r2s.cfg'
if len(sys.argv) > 1:
    cfgfile = sys.argv[1]

config = ConfigParser.SafeConfigParser()
config.read(cfgfile)

# Required input file from config file
datafile = get_input_file(config, 'step1_datafile')

# Read in the mesh
smesh = ScdMesh.fromFile(datafile)

# Get the Tag object called PHTN_BIAS
try:
    bias_tag = smesh.imesh.createTag("PHTN_BIAS",1,"d")
except iBase.TagAlreadyExistsError:
    print "Tag already exists. Tags are being overwritten."
    bias_tag = smesh.imesh.getTagHandle("PHTN_BIAS")

# Calculate the center of all voxels in the problem and store in a list
centers = calc_centers_list(smesh)

# EXAMPLE OF MATH FOR DISTANCE BASED BIASING: