""" Unit tests for vector databases. $Id: testvectordb.py,v 1.3 2005/06/28 03:00:28 jp Exp $ """ import unittest import pickle from plastk import rand from plastk.fnapprox.vectordb import * from plastk.utils import * from Numeric import array,arange class TestVectorDB(unittest.TestCase): dim = 2 N = 1000 probes = [array((x,y)) for x in arange(0,1.25,0.25) for y in arange(0,1.25,0.25)] def setUp(self): rand.seed(0,0) self.data = [(rand.uniform(0,1,(self.dim,)),None) for i in range(self.N)] for x,y in self.data: self.db.add(x,y) def testKNearest(self): k = 10 def probe_cmp(a,b,probe): ax,ay = a bx,by = b diff = norm(ax-probe)-norm(bx-probe) return int(diff/abs(diff)) for p in self.probes: k_nearest,dists = self.db.k_nearest(p,k) self.data.sort(lambda a,b:probe_cmp(a,b,p)) assert k_nearest == self.data[:k] def testFindInRadius(self): r = 0.1 for p in self.probes: found,dists = self.db.find_in_radius(p,r) dists = [norm(p-x) for x,y in self.data] truth = [(x,y) for d,(x,y) in zip(dists,self.data) if d <= r] for pair in truth: assert pair in found for pair in found: assert pair in truth class TestFlatVectorDB(TestVectorDB): def setUp(self): self.db = FlatVectorDB() TestVectorDB.setUp(self) class TestVectorTree(TestVectorDB): def setUp(self): self.db = VectorTree() TestVectorDB.setUp(self) class TestPickleVectorTree(TestVectorTree): def setUp(self): TestVectorTree.setUp(self) s = pickle.dumps(self.db) self.orig_db = self.db self.db = pickle.loads(s) def testContents(self): for xo,vo in self.orig_db.all(): (x,v),d = self.db.nearest(xo) self.assertEqual(x,xo) cases = [TestFlatVectorDB, TestVectorTree, TestPickleVectorTree, ] suite = unittest.TestSuite() suite.addTests([unittest.makeSuite(case) for case in cases])