1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
|
require 'Dobjects/Function'
require 'test/unit'
class TestFunction < Test::Unit::TestCase
include Dobjects
def test_sorted
x_1 = Dvector[1,2,3]
x_2 = Dvector[1,3,2]
f_1 = Function.new(x_1, x_2)
f_2 = Function.new(x_2, x_1)
assert(f_1.sorted?)
assert(! f_2.sorted?)
end
NUMBER = 20
def test_joint_sort
x_1 = Dvector.new(NUMBER)
x_1.collect! { |x|
rand
}
x_2 = x_1.dup
Function.joint_sort(x_1,x_2)
NUMBER.times do |i|
assert_equal(x_1[i],x_2[i])
end
f = Function.new(x_1,x_2)
assert(f.sorted?)
end
def test_point
x = Dvector[1,3,2]
y = Dvector[2,3,4]
f = Function.new(x,y)
p = f.point(2)
assert_equal(p[0],2.0)
assert_equal(p[1],4.0)
f.sort
p = f.point(2)
assert_equal(p[0],3.0)
assert_equal(p[1],3.0)
end
def test_bounds
x_1 = Dvector[1,2,3,4]
x_2 = Dvector[1,9,2,0.1]
f = Function.new(x_1, x_2)
assert_equal(f.bounds, [1,0.1,4,9])
end
def test_strip
x = Dvector[1,3,2,4]
y = Dvector[2,3,4,5]
x[1] = 0.0/0.0
y[2] = 0.0/0.0
f = Function.new(x,y)
assert_equal(f.strip_nan, 2)
assert_equal(f.x, Dvector[1,4])
assert_equal(f.y, Dvector[2,5])
end
def test_monotonic
x = Dvector[1,3,2,4,5,6]
y = x.dup
f = Function.new(x,y)
ary = f.split_monotonic
assert_equal(ary.size, 3)
x = Dvector[1,3]
assert_equal(ary[0].x, x)
x = Dvector[3,2]
assert_equal(ary[1].x, x)
x = Dvector[2,4,5,6]
assert_equal(ary[2].x, x)
end
def test_integrate
x = Dvector[1,2,4]
y = Dvector[0,1,2]
f = Function.new(x,y)
# integral should be 0.5 + 1.5 * 2
assert_equal(f.integrate, 3.5)
assert_equal(f.integrate(0,1), 0.5)
assert_equal(f.integrate(1,2), 3)
g = f.primitive
assert_equal(f.x, g.x)
end
def test_length
x = Dvector[1,2,4]
y = Dvector[0,1,2]
f = Function.new(x,y)
assert_equal(f.size, 3)
assert_equal(f.length, 3)
end
def test_distance
f = Function.new(Dvector[0],Dvector[0])
assert_equal(f.distance(3,4), 5.0)
f = Function.new(Dvector[0,1],Dvector[0,1])
assert_equal(f.distance(1,1), 0.0)
assert_equal(f.distance(0,1), 1.0)
assert_equal(f.distance(1,0), 1.0)
assert_equal(f.distance(1,0), 1.0)
end
def test_fuzzy_ops
f = Function.new(Dvector[1,2,3,4],Dvector[1,2,3,4])
g = Function.new(Dvector[1,2,4],Dvector[1,2,3])
a = g.fuzzy_sub!(f)
assert_equal(a,0.0)
assert_equal(g.y, Dvector[0,0,-1])
end
def test_bounds
x = Dvector[1,2,3,4,5]
y = Dvector[0,4,3,4,2]
f = Function.new(x,y)
# First, big boundaries
g = f.bound_values(0, 10, 0, 10)
assert_equal(f.x, g.x)
assert_equal(f.y, g.y)
# Too small boundaries
g = f.bound_values(0,0,0,0)
assert_equal(0, g.size)
# Real boundaries, but taking the sides make so
# that we have the same in the end that at the beginning
g = f.bound_values(2,4,0,10)
assert_equal(f.x, g.x)
assert_equal(f.y, g.y)
# It really should be fine.
end
# There is unfortunately no simple way to test the interpolations...
end
|
