def load_params(fname):
    parmsff = {}
    # FIXME: This might fail if a parameter name is larger than 50 characters.
    # FIXME: Maybe do this with the csv module instead?
    temparr = numpy.loadtxt(fname, dtype=([('a','S50'),('b','f8')]), delimiter=',') 
    for i in temparr:
        parmsff[i[0]] = i[1]
    return parmsff
Return a flattened representation of the individual ``sources`` lists.
dataset/ETHPy150Open pysb/pysb/pysb/util.py/load_params--crossover with--dataset/ETHPy150Open pivotal-energy-solutions/django-datatable-view/datatableview/columns.py/CompoundColumn._get_flat_db_sources