Files
rdkit/Code/DataStructs/Wrap/testSparseIntVect.py
gedeck e9af48ffd7 Issue1071/yapf (#1078)
* Issue #1071: add yapf configuration file

* yapf formatting of Code directory

* yapf formatting of Contrib directory

* yapf formatting of Data directory

* yapf formatting of Docs directory

* yapf formatting of External directory

* yapf formatting of Projects directory

* yapf formatting of Regress directory

* yapf formatting of Scripts directory

* yapf formatting of Web directory

* yapf formatting of rdkit directory
2016-09-23 04:58:46 +02:00

218 lines
5.0 KiB
Python

# $Id$
#
# Copyright (C) 2007,2008 Greg Landrum
#
# @@ All Rights Reserved @@
#
import os, sys
import io
import unittest
from rdkit.six.moves import cPickle
from rdkit import RDConfig
from rdkit import DataStructs as ds
def feq(v1, v2, tol=1e-4):
return abs(v1 - v2) < tol
class TestCase(unittest.TestCase):
def setUp(self):
pass
def test1Int(self):
"""
"""
v1 = ds.IntSparseIntVect(5)
self.assertRaises(IndexError, lambda: v1[5])
v1[0] = 1
v1[2] = 2
v1[3] = 3
self.assertTrue(v1 == v1)
self.assertTrue(v1.GetLength() == 5)
v2 = ds.IntSparseIntVect(5)
self.assertTrue(v1 != v2)
v2 |= v1
self.assertTrue(v2 == v1)
v3 = v2 | v1
self.assertTrue(v3 == v1)
onVs = v1.GetNonzeroElements()
self.assertTrue(onVs == {0: 1, 2: 2, 3: 3})
def test2Long(self):
"""
"""
l = 1 << 42
v1 = ds.LongSparseIntVect(l)
self.assertRaises(IndexError, lambda: v1[l])
v1[0] = 1
v1[2] = 2
v1[1 << 35] = 3
self.assertTrue(v1 == v1)
self.assertTrue(v1.GetLength() == l)
v2 = ds.LongSparseIntVect(l)
self.assertTrue(v1 != v2)
v2 |= v1
self.assertTrue(v2 == v1)
v3 = v2 | v1
self.assertTrue(v3 == v1)
onVs = v1.GetNonzeroElements()
self.assertTrue(onVs == {0: 1, 2: 2, 1 << 35: 3})
def test3Pickle1(self):
"""
"""
l = 1 << 42
v1 = ds.LongSparseIntVect(l)
self.assertRaises(IndexError, lambda: v1[l + 1])
v1[0] = 1
v1[2] = 2
v1[1 << 35] = 3
self.assertTrue(v1 == v1)
v2 = cPickle.loads(cPickle.dumps(v1))
self.assertTrue(v2 == v1)
v3 = ds.LongSparseIntVect(v2.ToBinary())
self.assertTrue(v2 == v3)
self.assertTrue(v1 == v3)
#cPickle.dump(v1,file('lsiv.pkl','wb+'))
with open(os.path.join(RDConfig.RDBaseDir, 'Code/DataStructs/Wrap/testData/lsiv.pkl'),
'r') as tf:
buf = tf.read().replace('\r\n', '\n').encode('utf-8')
tf.close()
with io.BytesIO(buf) as f:
v3 = cPickle.load(f)
self.assertTrue(v3 == v1)
def test3Pickle2(self):
"""
"""
l = 1 << 21
v1 = ds.IntSparseIntVect(l)
self.assertRaises(IndexError, lambda: v1[l + 1])
v1[0] = 1
v1[2] = 2
v1[1 << 12] = 3
self.assertTrue(v1 == v1)
v2 = cPickle.loads(cPickle.dumps(v1))
self.assertTrue(v2 == v1)
v3 = ds.IntSparseIntVect(v2.ToBinary())
self.assertTrue(v2 == v3)
self.assertTrue(v1 == v3)
#cPickle.dump(v1,file('isiv.pkl','wb+'))
with open(os.path.join(RDConfig.RDBaseDir, 'Code/DataStructs/Wrap/testData/isiv.pkl'),
'r') as tf:
buf = tf.read().replace('\r\n', '\n').encode('utf-8')
tf.close()
with io.BytesIO(buf) as f:
v3 = cPickle.load(f)
self.assertTrue(v3 == v1)
def test4Update(self):
"""
"""
v1 = ds.IntSparseIntVect(5)
self.assertRaises(IndexError, lambda: v1[6])
v1[0] = 1
v1[2] = 2
v1[3] = 3
self.assertTrue(v1 == v1)
v2 = ds.IntSparseIntVect(5)
v2.UpdateFromSequence((0, 2, 3, 3, 2, 3))
self.assertTrue(v1 == v2)
def test5Dice(self):
"""
"""
v1 = ds.IntSparseIntVect(5)
v1[4] = 4
v1[0] = 2
v1[3] = 1
self.assertTrue(feq(ds.DiceSimilarity(v1, v1), 1.0))
v1 = ds.IntSparseIntVect(5)
v1[0] = 2
v1[2] = 1
v1[3] = 4
v1[4] = 6
v2 = ds.IntSparseIntVect(5)
v2[1] = 2
v2[2] = 3
v2[3] = 4
v2[4] = 4
self.assertTrue(feq(ds.DiceSimilarity(v1, v2), 18.0 / 26.))
self.assertTrue(feq(ds.DiceSimilarity(v2, v1), 18.0 / 26.))
def test6BulkDice(self):
"""
"""
sz = 10
nToSet = 5
nVs = 6
import random
vs = []
for i in range(nVs):
v = ds.IntSparseIntVect(sz)
for j in range(nToSet):
v[random.randint(0, sz - 1)] = random.randint(1, 10)
vs.append(v)
baseDs = [ds.DiceSimilarity(vs[0], vs[x]) for x in range(1, nVs)]
bulkDs = ds.BulkDiceSimilarity(vs[0], vs[1:])
for i in range(len(baseDs)):
self.assertTrue(feq(baseDs[i], bulkDs[i]))
def test6BulkTversky(self):
"""
"""
sz = 10
nToSet = 5
nVs = 6
import random
vs = []
for i in range(nVs):
v = ds.IntSparseIntVect(sz)
for j in range(nToSet):
v[random.randint(0, sz - 1)] = random.randint(1, 10)
vs.append(v)
baseDs = [ds.TverskySimilarity(vs[0], vs[x], .5, .5) for x in range(1, nVs)]
bulkDs = ds.BulkTverskySimilarity(vs[0], vs[1:], 0.5, 0.5)
diceDs = [ds.DiceSimilarity(vs[0], vs[x]) for x in range(1, nVs)]
for i in range(len(baseDs)):
self.assertTrue(feq(baseDs[i], bulkDs[i]))
self.assertTrue(feq(baseDs[i], diceDs[i]))
bulkDs = ds.BulkTverskySimilarity(vs[0], vs[1:], 1.0, 1.0)
taniDs = [ds.TanimotoSimilarity(vs[0], vs[x]) for x in range(1, nVs)]
for i in range(len(bulkDs)):
self.assertTrue(feq(bulkDs[i], taniDs[i]))
taniDs = ds.BulkTanimotoSimilarity(vs[0], vs[1:])
for i in range(len(bulkDs)):
self.assertTrue(feq(bulkDs[i], taniDs[i]))
if __name__ == '__main__':
unittest.main()