public void testRandom() throws Exception {
List<TermFreq> freqs = new ArrayList<TermFreq>();
Random rnd = random();
for (int i = 0; i < 2500 + rnd.nextInt(2500); i++) {
int weight = rnd.nextInt(100);
freqs.add(new TermFreq("" + rnd.nextLong(), weight));
}
FSTCompletionLookup lookup = new FSTCompletionLookup();
lookup.build(new TermFreqArrayIterator(freqs.toArray(new TermFreq[freqs.size()])));
for (TermFreq tf : freqs) {
final String term = tf.term.utf8ToString();
for (int i = 1; i < term.length(); i++) {
String prefix = term.substring(0, i);
for (LookupResult lr : lookup.lookup(stringToCharSequence(prefix), true, 10)) {
assertTrue(lr.key.toString().startsWith(prefix));
}
}
}
}
public void testLargeInputConstantWeights() throws Exception {
FSTCompletionLookup lookup = new FSTCompletionLookup(10, true);
Random r = random();
List<TermFreq> keys = new ArrayList<TermFreq>();
for (int i = 0; i < 5000; i++) {
keys.add(new TermFreq(_TestUtil.randomSimpleString(r), -1));
}
lookup.build(new TermFreqArrayIterator(keys));
// All the weights were constant, so all returned buckets must be constant, whatever they
// are.
Long previous = null;
for (TermFreq tf : keys) {
Long current =
((Number) lookup.get(_TestUtil.bytesToCharSequence(tf.term, random()))).longValue();
if (previous != null) {
assertEquals(previous, current);
}
previous = current;
}
}
