Usage:

from evidence.theory import dst # load dempster-shafer functions
from evidenec.tests.assets import INPUT
print INPUT['bba1'] # path for the bba example

Knowing the format of file bba1:

bba = []
with open(INPUT['bba1'], 'r') as f:
    N = int(f.readline())
    for _  in range(N):
        bba += [ float(f.readline()) ]
print bba # verify a table with values between 0 and 1

We want to get a Belief function Bel from a table bba (basic belief assignament function), so the following is how to do that:

bel1 = dst.Bel(m=bba)
for i in range(1<<len(bba)):
    print bel1(A=i) # i is a set represents in binary form.

For now, please review code in evidence.theory.dst.