def test_log_probability_FiniteWithBVArgs(self):
# import the grammar
from Grammars import FiniteWithBVArgs
self.G = FiniteWithBVArgs.g
# sample from G 100 times
for i in range(100):
t = self.G.generate('START')
# count probability manually
prob = FiniteWithBVArgs.log_probability(t)
# print t, prob, t.log_probability(), prob - t.log_probability()
# check that it's equal to .log_probability()
self.assertTrue(math.fabs(prob - t.log_probability()) < 0.00000001)
def test_log_probability_proposals_FiniteWithBVArgs(self):
# import the grammar
from Grammars import FiniteWithBVArgs
self.G = FiniteWithBVArgs.g
# the RegenerationProposal class
rp = RegenerationProposal(self.G)
# sample from G 100 times
for i in range(100):
X = self.G.generate('START')
# propose to a new tree
Y = rp.propose_tree(X)[0]
# count probability manually
prob = FiniteWithBVArgs.log_probability(Y)
# print "iteration", i, X, Y, prob, Y.log_probability(), prob - Y.log_probability()
# check that it's equal to .log_probability()
self.assertTrue(math.fabs(prob - Y.log_probability()) < 0.00000001)