def get_child_parset_rand(db, N):
s = PatentSampler(db, 'traits')
""" Get a (generator) list (length N) of two-tuples (child,parents),
where parents is a list of patents which are cited by child. Must make some
choice about how many parents each patent has (use average?)"""
pass
def get_par_childset_rand(db, N):
s = PatentSampler(db, 'traits')
""" Get a (generator) list (length N) of two-tuples (parent, children)
where children is a list of patents which cite parent. Must make some choice about
how many children each patent has (use average?)"""
pass
def get_rand_pairs(db, N):
""" Get a (generator) list (length N) of random pairs (x,y) of patents."""
sampler = PatentSampler(db, 'traits')
rand_pats = sampler.sample(N*2)
rand_pairs = ((rand_pats[2*i], rand_pats[2*i+1]) for i in range(N))
return rand_pairs
def testPatnsWorks(self):
sampler = PatentSampler(self.db, 'patns')
sampler.sample(1)
def testTraitsWorks(self):
sampler = PatentSampler(self.db, 'just_cites')
sampler.sample(1)
def testTraitsWorks(self):
sampler = PatentSampler(self.db, 'pat_text')
sampler.sample(1)
def testCiteNetWorks(self):
sampler = PatentSampler(self.db, 'cite_net')
sampler.sample(1)