def uniop(self,op):
for run in xrange(num_runs):
vs = rand_vars(min_vars = 1, max_vars = 10, min_vals = 2, max_vals = 4)
f = rand_factor(vs)
r = f.copy().map(op)
for rd,fd in zip(r._data, f._data):
self.assertAlmostEquals(rd, op(fd))
def binop(self,op):
for run in xrange(num_runs):
vs = rand_vars(min_vars = 1, max_vars = 10, min_vals = 2, max_vals = 4)
f = rand_factor(vs)
g = rand_factor(vs)
r = op(f,g)
for rd,fd,gd in zip(r._data, f._data, g._data):
self.assertAlmostEquals(rd, op(fd, gd))
