As the comment in my code explains, the task is to find the number of pairs of strings from a given input file which are permutations of each other. For example, "ABCD" and "BCDA" are permutations of each other, meaning that a pair has been found.
正如我的代码中的注释所解释的那样,任务是找到给定输入文件中的字符串对的数量,这些字符串是彼此的排列。例如,“ABCD”和“BCDA”是彼此的排列,意味着已经找到了一对。
The main bulk of my program is then as follow:
我的程序的主要部分如下:
/**
* Finds the number of pairs of strings that are permutations of each other.
*
* A hash map is created with a hash code generated from the array formed using the getFrequency
* method as key and a pair containing a string array and the number of times a permutation of that
* particular string array has been found as value.
*
* If a permutation is already in the hash table previously, increment the counter.
*/
public static int findPairs(String fileName) {
try {
//Sets up the necessary file readers
FileReader dataFile = new FileReader(fileName);
BufferedReader bufferedDataFile = new BufferedReader(dataFile);
String line = bufferedDataFile.readLine();
//Finds the number of entries in the file
int num = Integer.parseInt(line);
int counter = 0;
int accumulator = 0;
HashMap<Integer, Pair> store = new HashMap<>();
for (int i = 0; i < num; i++) {
String current = bufferedDataFile.readLine();
int[] currentArr = getFrequency(current);
int currHashCode = Arrays.hashCode(currentArr);
if (store.containsKey(currHashCode)) {
Pair pairToCheck = store.get(currHashCode);
int[] arrToCheck = pairToCheck.getArr();
//Double checking, in case there is a collision and unequal arrays
//have the same hashCode
if (Arrays.equals(currentArr, arrToCheck)) {
counter = pairToCheck.getCount();
pairToCheck.updateCount();
} else {
//if the current bucket is not empty, and not a permutation of the input string,
//continue to conduct a linear probe
while (pairToCheck != null && !Arrays.equals(currentArr, arrToCheck)) {
currHashCode++;
pairToCheck = store.get(currHashCode);
arrToCheck = pairToCheck.getArr();
}
//if the current bucket is empty, add the new pair into the position
if (pairToCheck == null) {
counter = 0;
//otherwise, a permutation has been found later in the linear probe!
} else {
counter = pairToCheck.getCount();
pairToCheck.updateCount();
}
}
//no such permutation in the hash table yet!
} else {
counter = 0;
}
//Updates the accumulator using the counter. If there were already other strings
//which are permutations of the current string, the current string will be able to
//form a pair with each of these strings.
accumulator += counter;
//Updates the hash map only if the permutation has not been stored previously
if (counter == 0) {
Pair newPair = new Pair(currentArr, 1);
store.put(currHashCode, newPair);
}
}
//Close the file reader
bufferedDataFile.close();
return accumulator;
} catch (Exception e) {
System.out.println(e);
}
//In the event of an error, return -1
return -1;
}
What are some potential problems which can result from such manipulation of Java's hashCode
and Arrays
implementations? This is particularly because I have been given some private test cases to pass, and while I can pass a number of them, there's one which I repeatedly fail. I suspect it has to do with the way I am dealing with collisions... But although I have inspected this multiple times, I am still uncertain where the error might possibly lie. Any help is much appreciated!
Java的hashCode和Arrays实现的这种操作会导致哪些潜在的问题?这尤其是因为我已经获得了一些私有测试用例,虽然我可以通过其中一些,但是我反复失败了。我怀疑它与我处理碰撞的方式有关......但是虽然我多次检查过这个问题,但我仍然不确定错误可能在哪里。任何帮助深表感谢!
EDIT: As per request, here is my getFrequency method:
编辑:根据要求,这是我的getFrequency方法:
public static int[] getFrequency(String s) {
//There are 128 legal ascii characters
int[] charArr = new int[128];
//Iterate through the given string, and increment the count for a character using its
//ascii value to locate its position in the array
for (int i = 0; i < s.length(); i++) {
char c = s.charAt(i);
int ascii = (int) c;
charArr[ascii] += 1;
}
return charArr;
}
EDIT 2: And Pair:
编辑2:和配对:
public class Pair {
private int[] m_arr;
private int m_count;
public Pair(int[] arr, int count) {
this.m_arr = arr;
this.m_count = count;
}
public int[] getArr() {
return this.m_arr;
}
public int getCount() {
return this.m_count;
}
public void updateCount() {
this.m_count++;
}
}
1 个解决方案
#1
2
Finding anagrams is a known problem. The usual solution is to sort the strings and compare sorted strings. When you sort, "ABCD" and "BCDA" both become "ABCD".
寻找字谜是一个众所周知的问题。通常的解决方案是对字符串进行排序并比较排序的字符串。排序时,“ABCD”和“BCDA”都变为“ABCD”。
Storing the sorted strings in a set will let you find matches easily. Make a class that keeps the string in its sorted and unsorted versions separately for easy retrieval of the unsorted version of the string.
将已排序的字符串存储在一个集合中可以让您轻松找到匹配项。创建一个类,将字符串分别保存在已排序和未排序的版本中,以便轻松检索字符串的未排序版本。
Your hash function is not good, since "BB" will hash to the same value as "AC". Use a better hash function on the sorted version of the string.
你的哈希函数不好,因为“BB”会哈希到与“AC”相同的值。在字符串的排序版本上使用更好的哈希函数。
#1
2
Finding anagrams is a known problem. The usual solution is to sort the strings and compare sorted strings. When you sort, "ABCD" and "BCDA" both become "ABCD".
寻找字谜是一个众所周知的问题。通常的解决方案是对字符串进行排序并比较排序的字符串。排序时,“ABCD”和“BCDA”都变为“ABCD”。
Storing the sorted strings in a set will let you find matches easily. Make a class that keeps the string in its sorted and unsorted versions separately for easy retrieval of the unsorted version of the string.
将已排序的字符串存储在一个集合中可以让您轻松找到匹配项。创建一个类,将字符串分别保存在已排序和未排序的版本中,以便轻松检索字符串的未排序版本。
Your hash function is not good, since "BB" will hash to the same value as "AC". Use a better hash function on the sorted version of the string.
你的哈希函数不好,因为“BB”会哈希到与“AC”相同的值。在字符串的排序版本上使用更好的哈希函数。