如何计算 Java 中字符串列表中的冲突
How to count collisions in a list of strings in Java
如何使用每个字符串的哈希码计算字符串列表中的所有冲突对?
public class HashCollisions {
private static int strLength;
private static int colls;
public static void main(String[] args) {
String[] strings ={"AaAaAa","AaAaBB","AaBBAa","AaBBBB"};
strLength=strings.length;
for (int i = 0; i < strLength - 1; i++) {
for (int j = i + 1; j < strLength; j++) {
if (hash(strings[i]) == hash(strings[j]) && !(strings[i].equals(strings[j]))) {
colls++;
}
}
}
System.out.println(colls);
}
private static byte hash(String s) {
byte[] bytes = s.getBytes();
byte result = bytes[0];
for (int i = 1; i < bytes.length; i++) {
result ^= bytes[i];
}
return result;
}
}
- 根据给定的输入,我应该检测碰撞对的计数:
{0=[AaAaBB, AaBBAa], 32=[AaAaAa, AaBBBB]} 这将是 2 .
- 还有比 O(n^2) 更有效的解决方案吗?
为什么不用Set,把你List中的每一个值都放到Set里,通过计算List.size() - Set.size()求出碰撞次数?
您可以按 hashCode
对字符串列表进行分组,然后使用生成的映射。一旦给定键有多个值,就会有
碰撞:
public static void main(String[] args) {
List<String> strings = Arrays.asList("foo", "bar", "AaAa", "foobar",
"BBBB", "AaBB", "FB", "Ea", "foo");
Map<Integer, List<String>> stringsByHash = strings.stream()
.collect(Collectors.groupingBy(String::hashCode));
for (Entry<Integer, List<String>> entry : stringsByHash.entrySet()) {
List<String> value = entry.getValue();
int collisions = value.size() - 1;
if (collisions > 0) {
System.out.println(
"Got " + collisions + " collision(s) for strings "
+ value + " (hash: " + entry.getKey() + ")");
}
}
}
这会打印:
Got 1 collision(s) for strings [foo, foo] (hash: 101574)
Got 1 collision(s) for strings [FB, Ea] (hash: 2236)
Got 2 collision(s) for strings [AaAa, BBBB, AaBB] (hash: 2031744)
如何使用每个字符串的哈希码计算字符串列表中的所有冲突对?
public class HashCollisions {
private static int strLength;
private static int colls;
public static void main(String[] args) {
String[] strings ={"AaAaAa","AaAaBB","AaBBAa","AaBBBB"};
strLength=strings.length;
for (int i = 0; i < strLength - 1; i++) {
for (int j = i + 1; j < strLength; j++) {
if (hash(strings[i]) == hash(strings[j]) && !(strings[i].equals(strings[j]))) {
colls++;
}
}
}
System.out.println(colls);
}
private static byte hash(String s) {
byte[] bytes = s.getBytes();
byte result = bytes[0];
for (int i = 1; i < bytes.length; i++) {
result ^= bytes[i];
}
return result;
}
}
- 根据给定的输入,我应该检测碰撞对的计数: {0=[AaAaBB, AaBBAa], 32=[AaAaAa, AaBBBB]} 这将是 2 .
- 还有比 O(n^2) 更有效的解决方案吗?
为什么不用Set,把你List中的每一个值都放到Set里,通过计算List.size() - Set.size()求出碰撞次数?
您可以按 hashCode
对字符串列表进行分组,然后使用生成的映射。一旦给定键有多个值,就会有
碰撞:
public static void main(String[] args) {
List<String> strings = Arrays.asList("foo", "bar", "AaAa", "foobar",
"BBBB", "AaBB", "FB", "Ea", "foo");
Map<Integer, List<String>> stringsByHash = strings.stream()
.collect(Collectors.groupingBy(String::hashCode));
for (Entry<Integer, List<String>> entry : stringsByHash.entrySet()) {
List<String> value = entry.getValue();
int collisions = value.size() - 1;
if (collisions > 0) {
System.out.println(
"Got " + collisions + " collision(s) for strings "
+ value + " (hash: " + entry.getKey() + ")");
}
}
}
这会打印:
Got 1 collision(s) for strings [foo, foo] (hash: 101574)
Got 1 collision(s) for strings [FB, Ea] (hash: 2236)
Got 2 collision(s) for strings [AaAa, BBBB, AaBB] (hash: 2031744)