@Test
public void candidatesCountDuplicatesTest() {
for (int parameters : new int[] {1, 2, 5}) {
for (int choices : new int[] {1, 2, 5}) {
for (int candidatesCount : new int[] {10, 100}) {
for (int steps : new int[] {0, 1, 10, 100}) {
try {
// System.out.println("parameters: " + parameters + ", choices: " + choices + ",
// candidatesCount: " + candidatesCount + ", steps: " + steps);
List<List<String>> input = GeneratorTestUtils.prepareInput(parameters, choices);
AdaptiveRandomAlgorithm<String> algorithm =
new AdaptiveRandomAlgorithm<String>(0, candidatesCount, Integer.MAX_VALUE, true);
algorithm.initialize(input, EMPTY_CONSTRAINTS);
for (int i = 0; i < steps; i++) {
algorithm.getNext();
}
List<List<String>> candidates = algorithm.getCandidates();
assertEquals(Math.min(candidatesCount, productSize(input)), candidates.size());
} catch (GeneratorException e) {
fail("Unexpected GeneratorException: " + e.getMessage());
}
}
}
}
}
}
@Test
public void candidatesCountNoDuplicatesTest() {
for (int parameters : new int[] {1, 2, 5}) {
for (int choices : new int[] {1, 2, 5}) {
for (int candidatesCount : new int[] {1, 10, 100}) {
for (int steps : new int[] {0, 1, 10, 100}) {
try {
List<List<String>> input = GeneratorTestUtils.prepareInput(parameters, choices);
AdaptiveRandomAlgorithm<String> algorithm =
new AdaptiveRandomAlgorithm<String>(0, candidatesCount, Integer.MAX_VALUE, false);
algorithm.initialize(input, EMPTY_CONSTRAINTS);
for (int i = 0; i < steps; i++) {
algorithm.getNext();
}
List<List<String>> candidates = algorithm.getCandidates();
assertTrue(candidates.size() <= candidatesCount);
} catch (GeneratorException e) {
fail("Unexpected GeneratorException: " + e.getMessage());
}
}
}
}
}
}
@Test
public void candidatesUniformityTest() {
for (int parameters : new int[] {1, 2, 5}) {
for (int choices : new int[] {1, 2, 5}) {
for (int candidatesCount : new int[] {1, 10, 100}) {
for (int steps : new int[] {0, 1, 10, 100, 1000}) {
try {
List<List<String>> input = GeneratorTestUtils.prepareInput(parameters, choices);
AdaptiveRandomAlgorithm<String> algorithm =
new AdaptiveRandomAlgorithm<String>(0, candidatesCount, Integer.MAX_VALUE, true);
algorithm.initialize(input, EMPTY_CONSTRAINTS);
for (int i = 0; i < steps; i++) {
algorithm.getNext();
}
List<List<String>> candidates = algorithm.getCandidates();
if (sampleUniform(candidates, input) == false) {
fail(
"Failed uniformity test for:\n"
+ " parameters = "
+ parameters
+ "\nchoices = "
+ choices
+ "\ncandidatesCount = "
+ candidatesCount
+ "\nsteps = "
+ steps);
}
} catch (GeneratorException e) {
fail("Unexpected GeneratorException: " + e.getMessage());
}
}
}
}
}
}
