source: geniuswebcore/test/geniusweb/bidspace/pareto/GenericParetoTest.py

Last change on this file was 100, checked in by ruud, 21 months ago

python installs also wheel to avoid error messages

File size: 5.0 KB
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1from decimal import Decimal
2from typing import Dict, List
3import unittest
4from unittest.mock import Mock
5
6from tudelft.utilities.immutablelist.Range import Range
7
8from geniusweb.bidspace.pareto.GenericPareto import GenericPareto
9from geniusweb.issuevalue.Bid import Bid
10from geniusweb.issuevalue.DiscreteValue import DiscreteValue
11from geniusweb.issuevalue.DiscreteValueSet import DiscreteValueSet
12from geniusweb.issuevalue.Domain import Domain
13from geniusweb.issuevalue.NumberValue import NumberValue
14from geniusweb.issuevalue.NumberValueSet import NumberValueSet
15from geniusweb.issuevalue.Value import Value
16from geniusweb.issuevalue.ValueSet import ValueSet
17from geniusweb.profile.PartialOrdering import PartialOrdering
18
19
20class GenericParetoTest(unittest.TestCase):
21 I1V2 = DiscreteValue("i1v2")
22 I1V1 = DiscreteValue("i1v1")
23 I2V1 = NumberValue(Decimal("2.00"))
24 I2V2 = NumberValue(Decimal("2.45"))
25 I2V3 = NumberValue(Decimal("2.90"))
26 DOMAINNAME = "testdomain"
27 ISSUE1 = "issue1"
28 ISSUE2 = "issue2"
29 issues:Dict[str, ValueSet] = {}
30
31 def setUp(self):
32 discretevalues1 = []
33 discretevalues1.append(self.I1V1)
34 discretevalues1.append(self.I1V2)
35 values1 = DiscreteValueSet(discretevalues1)
36 self.issues[self.ISSUE1] = values1
37
38 values2 = NumberValueSet(Range(Decimal(2), Decimal(3), Decimal("0.45")))
39 self.issues[self.ISSUE2] = values2
40
41 self.domain = Domain(self.DOMAINNAME, self.issues)
42
43 issuevalues:Dict[str, Value] = {}
44 issuevalues[self.ISSUE1] = self.I1V1
45 issuevalues[self.ISSUE2] = self.I2V1
46 self.bid1 = Bid(issuevalues)
47 issuevalues[self.ISSUE1] = self.I1V1
48 issuevalues[self.ISSUE2] = self.I2V2
49 self.bid2 = Bid(issuevalues)
50 issuevalues[self.ISSUE1] = self.I1V2
51 issuevalues[self.ISSUE2] = self.I2V1
52 self.bid3 = Bid(issuevalues)
53
54 self.profile1 = Mock(PartialOrdering)
55 self.profile2 = Mock(PartialOrdering)
56 self.profile3 = Mock(PartialOrdering)
57 self.profile1.getDomain = Mock(return_value=self.domain)
58 self.profile2.getDomain = Mock(return_value=self.domain)
59 self.profile3.getDomain = Mock(return_value=self.domain)
60
61 self.pareto = GenericPareto([self.profile1, self.profile2])
62
63 def testgenericParetoTest(self):
64
65 # fefault: there is no preference at all, all isPreferredOrEqual
66 # returns false and we can't remove pareto points.
67
68 profiles:List[PartialOrdering] = [self.profile1, self.profile2]
69 # In python we need to set also False values
70 self.profile1.isPreferredOrEqual = Mock(return_value=False)
71 self.profile2.isPreferredOrEqual = Mock(return_value=False)
72 pareto = GenericPareto(profiles)
73
74 points = pareto.getPoints()
75 self.assertEqual(6, len(points))
76
77 def testgenericParetoTest1(self):
78
79 # both prefer bid1 over any other bid.
80 self.profile1.isPreferredOrEqual.side_effect = \
81 lambda b1, b2: b1 == self.bid1
82 self.profile2.isPreferredOrEqual.side_effect = \
83 lambda b1, b2: b1 == self.bid1
84
85 points = self.pareto.getPoints()
86 self.assertEqual(1, len(points))
87 self.assertEqual(self.bid1, next(iter(points)))
88
89 def testgenericParetoTest2(self):
90
91 # both prefer bid2 over any other bid.
92 self.profile1.isPreferredOrEqual.side_effect = \
93 lambda b1, b2: b1 == self.bid2
94 self.profile2.isPreferredOrEqual.side_effect = \
95 lambda b1, b2: b1 == self.bid2
96
97 points = self.pareto.getPoints()
98 # since both prefer bid2, bid is pareto point.
99 self.assertEqual(1, len(points))
100 self.assertEqual(self.bid2, next(iter(points)))
101
102 def testgenericParetoTest3(self):
103 # profile1 prefers bid1, profile2 prefers bid2.
104 # now neither bid1 nor bid2 are dominating each other
105 # and nor does bid1 or bid2 dominate anything else.
106 self.profile1.isPreferredOrEqual.side_effect = \
107 lambda b1, b2: b1 == self.bid1
108 self.profile2.isPreferredOrEqual.side_effect = \
109 lambda b1, b2: b1 == self.bid2
110
111 points = self.pareto.getPoints()
112 # since both prefer bid2, bid is pareto point.
113 self.assertEquals(6, len(points))
114
115 def testgenericParetoTest4(self):
116
117 # profile1 prefers bid1, profile2 prefers bid2.
118 # but they both hate bid3.
119 self.profile1.isPreferredOrEqual.side_effect = \
120 lambda b1, b2: b1 == self.bid1 or b2 == self.bid3
121 self.profile2.isPreferredOrEqual.side_effect = \
122 lambda b1, b2: b2 == self.bid3 or b1 == self.bid2
123
124 points = self.pareto.getPoints()
125 # both hate bid3 but don't agree on bid1/2. bid3 is ruled out.
126 self.assertEqual(5, len(points))
127
128 def testNullNotOk(self):
129 self.assertRaises(ValueError,
130 lambda:GenericPareto([self.profile1, None, self.profile1]))
131
132 def testImmutable(self):
133 list = [self.profile1, self.profile2]
134 pareto = GenericPareto(list)
135 # if we modify the list, the pareto should not change
136 list.append(self.profile3)
137 self.assertEqual(2, len(pareto.getProfiles()))
138
139 # in python we just copy the list so adding should do nothing
140 def testGetParetoAndAdd(self):
141 list = self.pareto.getProfiles()
142 list.append(self.profile3)
143 self.assertEqual(2, len(self.pareto.getProfiles()))
144
145 def testGetPointsAndAdd(self):
146 self.assertEqual(1, len(self.pareto.getPoints()))
147 list = self.pareto.getPoints()
148 list.add(self.bid1)
149 self.assertEqual(1, len(self.pareto.getPoints()))
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