-
Notifications
You must be signed in to change notification settings - Fork 2
/
Copy pathgen.cpp
226 lines (182 loc) · 5.88 KB
/
gen.cpp
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
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
/*
* Copyright (C) 2011 Leo Osvald <leo.osvald@gmail.com>
*
* This file is part of KSP Library.
*
* KSP Library is free software: you can redistribute it and/or modify
* it under the terms of the GNU Lesser General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* KSP Library is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU Lesser General Public License for more details.
*
* You should have received a copy of the GNU Lesser General Public License
* along with this library. If not, see <http://www.gnu.org/licenses/>.
*/
#include <functional>
#include "../src/util/string_utils.hpp"
#include "test.hpp"
#include "gen/discrete_random_variable.hpp"
#include "gen/gen_iter.hpp"
#include "gen/generator.hpp"
#include "gen/edge_generator.hpp"
#include "gen/graph_generator.hpp"
#include "edge_test_utils.hpp"
#include "graph_test_utils.hpp"
namespace ksp {
namespace gen {
namespace test {
namespace {
struct FibonacciGenerator
: public ::gen::test::Generator<FibonacciGenerator, int> {
FibonacciGenerator(unsigned seed = ::gen::test::NewSeedVal()) :
GeneratorType(seed),
last2(-1), last1(1) { }
int operator()() {
int cur = last1 + last2;
last2 = last1;
last1 = cur;
return cur;
}
private:
int last2, last1;
};
} // namespace
TEST(gen_iter, simple01) {
EXPECT_EQ(*FibonacciGenerator().begin(), *FibonacciGenerator::Iter());
}
TEST(gen_iter, simple02) {
int fib_arr[] = {0, 1, 1, 2, 3};
FibonacciGenerator fib_gen;
EXPECT_TRUE(CheckEq(fib_gen.begin(), fib_gen.begin().Skip(5),
fib_arr, fib_arr + 5,
std::equal_to<int>()));
EXPECT_FALSE(CheckEq(fib_gen.begin(), fib_gen.begin().Skip(5),
fib_arr, fib_arr + 4,
std::equal_to<int>()));
}
TEST(gen_iter, diff_minus) {
FibonacciGenerator fib_gen;
EXPECT_EQ(2, ++ ++ fib_gen.begin() - fib_gen.begin());
EXPECT_EQ(9, fib_gen.begin().Skip(9) - fib_gen.begin());
}
struct MyGen : ::gen::test::GeneratorIteratorProvider<MyGen, int> {
MyGen() : cnt_(0) { }
int operator()() {
if (cnt_++ > 0)
throw cnt_;
return cnt_;
}
int cnt_;
};
TEST(gen_iter, diff_distance_skips) {
MyGen my_gen;
ASSERT_NO_THROW(my_gen.begin());
ASSERT_ANY_THROW(++my_gen.begin());
ASSERT_EQ(5, my_gen.begin().Skip(5) - my_gen.begin());
EXPECT_EQ(5, std::distance(my_gen.begin(), my_gen.begin().Skip(5)));
}
struct MyRandomGenerator
: public ::gen::test::Generator<FibonacciGenerator, int> {
MyRandomGenerator(unsigned seed) : GeneratorType(seed) { }
int operator()() {
return ::gen::test::Random(1, 100000, seed());
}
};
TEST(generator, initial_seed_copy) {
const int seed = 5323;
MyRandomGenerator gen1(seed), gen3(seed);
gen1(); gen1(); gen1(); gen1();
{
ASSERT_EQ(gen1.initial_seed(), seed);
MyRandomGenerator gen2(gen1);
ASSERT_EQ(gen2.initial_seed(), seed);
EXPECT_NE(gen1(), gen2());
}
{
MyRandomGenerator gen2(gen3);
EXPECT_EQ(gen2(), gen3());
EXPECT_NE(gen1(), gen2());
gen3();
EXPECT_EQ(gen2(), gen3());
}
}
TEST(discrete_random_variable, simple01) {
const int itr = 300, seed = 10;
::gen::test::DiscreteRandomVariable<int> var(seed);
var.Add(1, 0.33);
var.Add(2, 0.47);
var.Add(3, 0.2);
int cnt[4] = {0};
for (int i = 0; i < itr; ++i)
cnt[var()]++;
EXPECT_LE(cnt[1], cnt[2]);
EXPECT_GE(cnt[1], cnt[3]);
EXPECT_GE(cnt[2], cnt[3]);
for (int i = 0; i < 3; ++i)
std::cout << cnt[i + 1] << " ";
std::cout << "\n";
var.Reset(seed);
for (int i = 0; i < itr; ++i)
cnt[var()]--;
EXPECT_EQ(0, cnt[1]);
EXPECT_EQ(0, cnt[2]);
EXPECT_EQ(0, cnt[3]);
}
TEST(discrete_range_uniform_random_variable, simple) {
::gen::test::DiscreteUniformRangeRandomVariable<int> var(0, 6, 3);
// for (int i = 0; i < 300; ++i)
// std::cout << var() << " ";
}
TEST(simple_weighted_graph_generator, uniform_edge_weight) {
const unsigned seed = 2U;
UniformEdgeWeightGenerator<> weight_gen(0, 100, seed);
SimpleWeightedGraphGenerator<UniformEdgeWeightGenerator<> > swgg(
5, weight_gen, seed);
Edge<> e = NullEdge<unsigned>();
bool adj_mat[5][5] = {{false}};
for (int i = 0; i < 5 * 4; ++i) {
// ASSERT_NO_THROW(e = swgg());
ASSERT_FALSE(ksp::test::EdgeEqual<>()(e = swgg(), NullEdge<unsigned>()));
std::cout << ::ksp::test::EToStr(e) << "\n";
EXPECT_FALSE(adj_mat[e.tail][e.head]) << "edge " << e.tail << " -> " <<
e.head << " already generated";
adj_mat[e.tail][e.head] = true;
}
// EXPECT_THROW(swgg(), NoMoreElementsException);
ASSERT_TRUE(ksp::test::EdgeEqual<>()(swgg(), NullEdge<unsigned>()));
}
TEST(simple_weighted_graph_generator, uniform_edge_weight_iter) {
const unsigned seed = 2U;
UniformEdgeWeightGenerator<> weight_gen(0, 100, seed);
SimpleWeightedGraphGenerator<UniformEdgeWeightGenerator<> > swgg(
5, weight_gen, seed), swgg2 = swgg;
SimpleWeightedGraphGenerator<UniformEdgeWeightGenerator<> >::Iter it
= swgg.begin();
for (int i = 0; i < 5 * 4; ++i) {
Edge<> e = swgg(), e2 = *(it);
// ASSERT_TRUE(ksp::test::EdgeEqual<>()(e, e2));
std::cout << ::ksp::test::EToStr(e) << " " << ::ksp::test::EToStr(e2) << "\n";
++it;
}
}
TEST(weighted_multigraph_generator, uniform_edge_weight) {
const unsigned seed = 2U;
UniformEdgeWeightGenerator<> weight_gen(0, 100, seed);
const unsigned n = 5;
WeightedMultigraphGenerator<UniformEdgeWeightGenerator<> > wmgg(
n, weight_gen, seed);
Edge<> e = NullEdge<unsigned>();
for (int itr = 0; itr < 100; ++itr) {
ASSERT_NO_THROW(e = wmgg());
ASSERT_LT(e.tail, n);
ASSERT_LT(e.head, n);
// std::cout << ::ksp::test::EToStr(e) << "\n";
}
}
} // namespace test
} // namespace gen
} // namespace ksp