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I am attempting to solve a version of a pancake sorting algorithm. In this problem I am given a string that is composed of any combination of characters A-F and has a maximum length of 6. For instance I may receive the String 'ACFE'. In this problem I am trying to use pancake sorting to fix the string to be in Alphabetical Order. So the above example would become 'ACEF'.
That is pretty simple and straightforward. Here is the catch: the characters in the input string can be Uppercase OR Lowercase. Whenever you flip characters in the string, the flipped characters switch case. So an uppercase A would become 'a'. The goal at the end is to flip the string into order and also have all of the characters in uppercase as well.
I have had no problem putting together the algorithm to solve the sorting part of the algorithm, but it is the part where I am trying to make sure that we aren't done flipping the characters until they are all uppercase that I am having trouble with and can't seem to solve.
To make things easier on myself, I have made a HashMap of Characters to Integers so that it is easier to sort the characters (we can just use an equivalent Integer value). I also break the string apart at the beginning into a char[] and put it in reverse order to make the algorithm easier for myself.
Here is the code I use to do everything:
private static final HashMap<Character, Integer> numericalEquivalent = new HashMap<>();
static {
numericalEquivalent.put('A', 6);
numericalEquivalent.put('B', 5);
numericalEquivalent.put('C', 4);
numericalEquivalent.put('D', 3);
numericalEquivalent.put('E', 2);
numericalEquivalent.put('F', 1);
numericalEquivalent.put('a', 6);
numericalEquivalent.put('b', 5);
numericalEquivalent.put('c', 4);
numericalEquivalent.put('d', 3);
numericalEquivalent.put('e', 2);
numericalEquivalent.put('f', 1);
}
private static int flip(char[] arr, int i, int numFlips) {
char temp;
int start = 0;
if (start < i) {
while (start < i) {
temp = (Character.isUpperCase(arr[start]) ? Character.toLowerCase(arr[start]) : Character.toUpperCase(arr[start]));
arr[start] = (Character.isUpperCase(arr[i]) ? Character.toLowerCase(arr[i]) : Character.toUpperCase(arr[i]));
arr[i] = temp;
start++;
i--;
}
numFlips++;
}
return numFlips;
}
private static int findMax(char[] arr, int n) {
int mi, i;
for (mi = 0, i = 0; i < n; ++i)
if (numericalEquivalent.get(arr[i]) > numericalEquivalent.get(arr[mi]))
mi = i;
return mi;
}
private static int getFlips (char[] pancakes) {
int n = pancakes.length;
int numFlips = 0;
for (int curr_size = n; curr_size > 1; --curr_size) {
int mi = findMax(pancakes, curr_size);
if (mi != curr_size - 1) {
numFlips = flip(pancakes, mi, numFlips);
if (!isSorted(pancakes))
numFlips = flip(pancakes, curr_size - 1, numFlips);
}
}
return numFlips;
}
private static boolean isSorted(char[] arr) {
for (int i = 0; i < arr.length - 1; i++) {
if (numericalEquivalent.get(arr[i]) > numericalEquivalent.get(arr[i + 1]))
return false;
}
return true;
}
public static void main(String[] args) {
while(true) {
String input = scanner.nextLine();
if (input.equals("0")) break;
else System.out.println(getFlips(new StringBuilder(input).reverse().toString().toCharArray()));
}
}
My goal is to get back the minimum number of flips that it will take to flip the characters into order. How can I modify this code, though, to make sure it accounts for characters being lowercase and the need to make sure they all end up in Uppercase?
You can change the stop condition from if (!isSorted(pancakes)) to if (!isSortedAndUppercase(pancakes)) where isSortedAndUppercase(pancakes) is defined as:
private static boolean isSortedAndUppercase(char[] arr){
return isUpperCase(arr) && isSorted(arr);
}
private static boolean isUpperCase(char[] arr) {
String s = String.valueOf(arr);
return s.equals(s.toUpperCase());
}
and stop the search only when the stop condition is met.
Consider using Breadth-First Search for this task.
Side notes:
There is no need to map chars into integers. Try the following:
char[] chars = "ABCDEF".toCharArray();
for (int i = 0; i < chars.length; i++) {
System.out.println(chars[i] +" int value: "+(int)chars[i]);
System.out.println(Character.toLowerCase(chars[i]) +" int value: "+(int)Character.toLowerCase(chars[i]));
}
I need to write function that gets 3 params(int num, int k, int nDigit).
The function get number and replace the digit inside the number in k index by nDigit.
for example:
int num = 5498
int k = 2
int nDigit= 3
the result is num = 5398
My question is how can I implement it?I undastand that the best way to convert the num to string and then just replace char on specific index by nDigit char.
But is there any way to implement it?Without
public int changeDigit(int num, int k, int nDigit){
k = pow(10,k);
double saved = num%k; // Save digits after
num = num - (num%(k*10)); //Get what's before k
return ((int) (num + (nDigit*k) + saved));
}
I won't do your homework for you, but here's some hints:
Convert integer to string:
String s = Integer.toString(1234);
Enumerating a string:
for (i = 0; i < s.length; i++)
{
char c = s.charAt(i);
}
String building (a little less efficient without the StringBuilder class)
char c = '1';
String s = "3";
String j = "";
j = j + c;
j = j + s; // j is now equal to "13"
String back to integer:
int val = Integer.parseInt("42");
You can use a StringBuilder. It's easier to see what you're doing and you don't need to perform mathematics, only adjust the characters in their positions. Then convert it back to int.
public class Main {
static int swapParams(int num, int k, int nDigit) {
StringBuilder myName = new StringBuilder(Integer.toString(num));
myName.setCharAt(k-1, Integer.toString(nDigit).charAt(0));
return Integer.parseInt(myName.toString());
}
public static void main(String[] args) {
System.out.println(swapParams(5498, 2, 3));
}
}
http://ideone.com/e4MF6m
You can do it like this:
public int func(int num, int k, int nDigit) {
String number = String.valueOf(num);
return Integer.parseInt(number.substring(0, k - 1) + nDigit + number.substring(k, number.length()));
}
This function takes the first characters of the number without the k'th number and adds the nDigit to it. Then it adds the last part of the number and returns it as an integer number.
This is my javascript solution.
const solution = numbers => { //declare a variable that will hold
the array el that is not strictly ascending let flawedIndex;
//declare a boolean variable to actually check if there is a flawed array el in the given array let flawed = false;
//iterate through the given array for(let i=0; i<numbers.length; i++) {
//check if current array el is greater than the next
if(numbers[i] > numbers[i+1])
{
//check if we already set flawed to true once.
//if flawed==true, then return that this array cannot be sorted
//strictly ascending even if we swap one elements digits
if(flawed) {
return false;
}
//if flawed is false, then set it to true and store the index of the flawed array el
else {
flawed = true;
flawedIndex = i;
}
}
}
//if flawed is still false after the end of the for loop, return true //where true = the array is sctrictly ascending if(flawed ==
false) return true;
//if flawed==true, that is there is an array el that is flawed if(flawed){
//store the result of calling the swap function on the digits of the flawed array el
let swapResult = swap(flawedIndex,numbers);
//if the swapresult is true, then return that it is ascending
if (swapResult == true) return true; }
//else return that its false return false; }
const swap = (flawIndex, numbers) => {
let num = numbers[flawIndex];
//convert the given array el to a string, and split the string based on '' let numToString = num.toString().split('');
//iterate through every digit from index 0 for(let i=0;
i<numToString.length; i++) {
//iterate from every digit from index 1
for(let j=i+1; j<numToString.length; j++) {
//swap the first index digit with every other index digit
let temp = numToString[i];
numToString[i] = numToString[j]
numToString[j] = temp;
console.log(numToString)
//check if the swapped number is lesser than the next number in the main array
//AND if it is greater than the previous el in the array. if yes, return true
let swappedNum = Number(numToString.join(''));
if(swappedNum < numbers[flawIndex + 1] && swappedNum > numbers[flawIndex-])
{
return true;
}
} } //else return false return false; }
console.log("the solution is ",solution([1, 3, 900, 10]))
I'm trying to solve the following interview practice question:
A k-palindrome is a string which transforms into a palindrome on removing at most
k characters.
Given a string S, and an integer K, print "YES" if S is a k-palindrome;
otherwise print "NO".
Constraints:
S has at most 20,000 characters.
0 <= k <= 30
Sample Test Cases:
Input - abxa 1
Output - YES
Input - abdxa 1
Output - NO
My approach I've decided is going to be taking all possible String combinations of length s.length - k or greater, i.e. "abc" and k = 1 -> "ab" "bc" "ac" "abc" and checking if they are palindromes. I have the following code so far, but can't seem to figure out a proper way to generate all these string combinations in the general case:
public static void isKPalindrome(String s, int k) {
// Generate all string combinations and call isPalindrome on them,
// printing "YES" at first true
}
private static boolean isPalindrome(String s) {
char[] c = s.toCharArray()
int slow = 0;
int fast = 0;
Stack<Character> stack = new Stack<>();
while (fast < c.length) {
stack.push(c[slow]);
slow += 1;
fast += 2;
}
if (c.length % 2 == 1) {
stack.pop();
}
while (!stack.isEmpty()) {
if (stack.pop() != c[slow++]) {
return false;
}
}
return true;
}
Can anyone figure out a way to implement this, or perhaps demonstrate a better way?
I think there is a better way
package se.wederbrand.stackoverflow;
public class KPalindrome {
public static void main(String[] args) {
KPalindrome kPalindrome = new KPalindrome();
String s = args[0];
int k = Integer.parseInt(args[1]);
if (kPalindrome.testIt(s, k)) {
System.out.println("YES");
}
else {
System.out.println("NO");
}
}
boolean testIt(String s, int k) {
if (s.length() <= 1) {
return true;
}
while (s.charAt(0) == s.charAt(s.length()-1)) {
s = s.substring(1, s.length()-1);
if (s.length() <= 1) {
return true;
}
}
if (k == 0) {
return false;
}
// Try to remove the first or last character
return testIt(s.substring(0, s.length() - 1), k - 1) || testIt(s.substring(1, s.length()), k - 1);
}
}
Since K is max 30 it's likely the string can be invalidated pretty quick and without even examining the middle of the string.
I've tested this with the two provided test cases as well as a 20k characters long string with just "ab" 10k times and k = 30;
All tests are fast and returns the correct results.
This can be solved using Edit distance dynamic programming algorithm. Edit distance DP algorithm is used to find the minimum operations required to convert a source string to destination string. The operations can be either addition or deletion of characters.
The K-palindrome problem can be solved using Edit distance algorithm by checking the minimum operation required to convert the input string to its reverse.
Let editDistance(source,destination) be the function which takes source string and destination string and returns the minimum operations required to convert the source string to destination string.
A string S is K-palindrome if editDistance(S,reverse(S))<=2*K
This is because we can transform the given string S into its reverse by deleting atmost K letters and then inserting the same K letters in different position.
This will be more clear with an example.
Let S=madtam and K=1.
To convert S into reverse of S (i.e matdam) first we have to remove the character 't' at index 3 ( 0 based index) in S.
Now the intermediate string is madam. Then we have to insert the character 't' at index 2 in the intermediate string to get "matdam" which is the reverse of string s.
If you look carefully you will know that the intermediate string "madam" is the palindrome that is obtained by removing k=1 characters.
I found the length of a longest string such that after removing characters >= k, we will be having a palindrome. I have used dynamic programming here. The palindrome I have considered need not be consecutive. Its like abscba has a longest palindromic length of 4.
So now this can be used further, such that whenever k >= (len - len of longest palindrome), it results to true else false.
public static int longestPalindrome(String s){
int len = s.length();
int[][] cal = new int[len][len];
for(int i=0;i<len;i++){
cal[i][i] = 1; //considering strings of length = 1
}
for(int i=0;i<len-1;i++){
//considering strings of length = 2
if (s.charAt(i) == s.charAt(i+1)){
cal[i][i+1] = 2;
}else{
cal[i][i+1] = 0;
}
}
for(int p = len-1; p>=0; p--){
for(int q=p+2; q<len; q++){
if (s.charAt(p)==s.charAt(q)){
cal[p][q] = 2 + cal[p+1][q-1];
}else{
cal[p][q] = max(cal[p+1][q], cal[p][q-1]);
}
}
}
return cal[0][len-1];
}
This is a common interview question, and I'm little surprised that no one has mentioned dynamic programming yet. This problem exhibits optimal substructure (if a string is a k-palindrome, some substrings are also k-palindromes), and overlapping subproblems (the solution requires comparing the same substrings more than once).
This is a special case of the edit distance problem, where we check if a string s can be converted to string p by only deleting characters from either or both strings.
Let the string be s and its reverse rev. Let dp[i][j] be the number of deletions required to convert the first i characters of s to the first j characters of rev. Since deletions have to be done in both strings, if dp[n][n] <= 2 * k, then the string is a k-palindrome.
Base case: When one of the strings is empty, all characters from the other string need to be deleted in order to make them equal.
Time complexity: O(n^2).
Scala code:
def kPalindrome(s: String, k: Int): Boolean = {
val rev = s.reverse
val n = s.length
val dp = Array.ofDim[Int](n + 1, n + 1)
for (i <- 0 to n; j <- 0 to n) {
dp(i)(j) = if (i == 0 || j == 0) i + j
else if (s(i - 1) == rev(j - 1)) dp(i - 1)(j - 1)
else 1 + math.min(dp(i - 1)(j), dp(i)(j - 1))
}
dp(n)(n) <= 2 * k
}
Since we are doing bottom-up DP, an optimization is to return false if at any time i == j && dp[i][j] > 2 * k, since all subsequent i == j must be greater.
Thanks to Andreas, that algo worked like a charm. Here my implementation for anyone who's curious. Slightly different, but fundamentally your same logic:
public static boolean kPalindrome(String s, int k) {
if (s.length() <= 1) {
return true;
}
char[] c = s.toCharArray();
if (c[0] != c[c.length - 1]) {
if (k <= 0) {
return false;
} else {
char[] minusFirst = new char[c.length - 1];
System.arraycopy(c, 1, minusFirst, 0, c.length - 1);
char[] minusLast = new char[c.length - 1];
System.arraycopy(c, 0, minusLast, 0, c.length - 1);
return kPalindrome(String.valueOf(minusFirst), k - 1)
|| kPalindrome(String.valueOf(minusLast), k - 1);
}
} else {
char[] minusFirstLast = new char[c.length - 2];
System.arraycopy(c, 1, minusFirstLast, 0, c.length - 2);
return kPalindrome(String.valueOf(minusFirstLast), k);
}
}
This problem can be solved using the famous Longest Common Subsequence(LCS) method. When LCS is applied with the string and the reverse of the given string, then it gives us the longest palindromic subsequence present in the string.
Let the longest palindromic subsequence length of a given string of length string_length be palin_length. Then (string_length - palin_length) gives the number of characters required to be deleted to convert the string to a palindrome. Thus, the given string is k-palindrome if (string_length - palin_length) <= k.
Let me give some examples,
Initial String: madtam (string_length = 6)
Longest Palindromic Subsequence: madam (palin_length = 5)
Number of non-contributing characters: 1 ( string_length - palin_length)
Thus this string is k-palindromic where k>=1. This is because you need to delete atmost k characters ( k or less).
Here is the code snippet:
#include<iostream>
#include<cstdio>
#include<algorithm>
using namespace std;
#define MAX 10000
int table[MAX+1][MAX+1];
int longest_common_subsequence(char *first_string, char *second_string){
int first_string_length = strlen(first_string), second_string_length = strlen(second_string);
int i, j;
memset( table, 0, sizeof(table));
for( i=1; i<=first_string_length; i++ ){
for( j=1; j<=second_string_length; j++){
if( first_string[i-1] == second_string[j-1] )
table[i][j] = table[i-1][j-1] + 1;
else
table[i][j] = max(table[i-1][j], table[i][j-1]);
}
}
return table[first_string_length][second_string_length];
}
char first_string[MAX], second_string[MAX];
int main(){
scanf("%s", first_string);
strcpy(second_string, first_string);
reverse(second_string, second_string+strlen(second_string));
int max_palindromic_length = longest_common_subsequence(first_string, second_string);
int non_contributing_chars = strlen(first_string) - max_palindromic_length;
if( k >= non_contributing_chars)
printf("K palindromic!\n");
else
printf("Not K palindromic!\n");
return 0;
}
I designed a solution purely based on recursion -
public static boolean isKPalindrome(String str, int k) {
if(str.length() < 2) {
return true;
}
if(str.charAt(0) == str.charAt(str.length()-1)) {
return isKPalindrome(str.substring(1, str.length()-1), k);
} else{
if(k == 0) {
return false;
} else {
if(isKPalindrome(str.substring(0, str.length() - 1), k-1)) {
return true;
} else{
return isKPalindrome(str.substring(1, str.length()), k-1);
}
}
}
}
There is no while loop in above implementation as in the accepted answer.
Hope it helps somebody looking for it.
public static boolean failK(String s, int l, int r, int k) {
if (k < 0)
return false;
if (l > r)
return true;
if (s.charAt(l) != s.charAt(r)) {
return failK(s, l + 1, r, k - 1) || failK(s, l, r - 1, k - 1);
} else {
return failK(s, l + 1, r - 1, k);
}
}
If the input is 'abba' then the possible palindromes are a, b, b, a, bb, abba.
I understand that determining if string is palindrome is easy. It would be like:
public static boolean isPalindrome(String str) {
int len = str.length();
for(int i=0; i<len/2; i++) {
if(str.charAt(i)!=str.charAt(len-i-1) {
return false;
}
return true;
}
But what is the efficient way of finding palindrome substrings?
This can be done in O(n), using Manacher's algorithm.
The main idea is a combination of dynamic programming and (as others have said already) computing maximum length of palindrome with center in a given letter.
What we really want to calculate is radius of the longest palindrome, not the length.
The radius is simply length/2 or (length - 1)/2 (for odd-length palindromes).
After computing palindrome radius pr at given position i we use already computed radiuses to find palindromes in range [i - pr ; i]. This lets us (because palindromes are, well, palindromes) skip further computation of radiuses for range [i ; i + pr].
While we search in range [i - pr ; i], there are four basic cases for each position i - k (where k is in 1,2,... pr):
no palindrome (radius = 0) at i - k
(this means radius = 0 at i + k, too)
inner palindrome, which means it fits in range
(this means radius at i + k is the same as at i - k)
outer palindrome, which means it doesn't fit in range
(this means radius at i + k is cut down to fit in range, i.e because i + k + radius > i + pr we reduce radius to pr - k)
sticky palindrome, which means i + k + radius = i + pr
(in that case we need to search for potentially bigger radius at i + k)
Full, detailed explanation would be rather long. What about some code samples? :)
I've found C++ implementation of this algorithm by Polish teacher, mgr Jerzy Wałaszek.
I've translated comments to english, added some other comments and simplified it a bit to be easier to catch the main part.
Take a look here.
Note: in case of problems understanding why this is O(n), try to look this way:
after finding radius (let's call it r) at some position, we need to iterate over r elements back, but as a result we can skip computation for r elements forward. Therefore, total number of iterated elements stays the same.
Perhaps you could iterate across potential middle character (odd length palindromes) and middle points between characters (even length palindromes) and extend each until you cannot get any further (next left and right characters don't match).
That would save a lot of computation when there are no many palidromes in the string. In such case the cost would be O(n) for sparse palidrome strings.
For palindrome dense inputs it would be O(n^2) as each position cannot be extended more than the length of the array / 2. Obviously this is even less towards the ends of the array.
public Set<String> palindromes(final String input) {
final Set<String> result = new HashSet<>();
for (int i = 0; i < input.length(); i++) {
// expanding even length palindromes:
expandPalindromes(result,input,i,i+1);
// expanding odd length palindromes:
expandPalindromes(result,input,i,i);
}
return result;
}
public void expandPalindromes(final Set<String> result, final String s, int i, int j) {
while (i >= 0 && j < s.length() && s.charAt(i) == s.charAt(j)) {
result.add(s.substring(i,j+1));
i--; j++;
}
}
So, each distinct letter is already a palindrome - so you already have N + 1 palindromes, where N is the number of distinct letters (plus empty string). You can do that in single run - O(N).
Now, for non-trivial palindromes, you can test each point of your string to be a center of potential palindrome - grow in both directions - something that Valentin Ruano suggested.
This solution will take O(N^2) since each test is O(N) and number of possible "centers" is also O(N) - the center is either a letter or space between two letters, again as in Valentin's solution.
Note, there is also O(N) solution to your problem, based on Manacher's algoritm (article describes "longest palindrome", but algorithm could be used to count all of them)
I just came up with my own logic which helps to solve this problem.
Happy coding.. :-)
System.out.println("Finding all palindromes in a given string : ");
subPal("abcacbbbca");
private static void subPal(String str) {
String s1 = "";
int N = str.length(), count = 0;
Set<String> palindromeArray = new HashSet<String>();
System.out.println("Given string : " + str);
System.out.println("******** Ignoring single character as substring palindrome");
for (int i = 2; i <= N; i++) {
for (int j = 0; j <= N; j++) {
int k = i + j - 1;
if (k >= N)
continue;
s1 = str.substring(j, i + j);
if (s1.equals(new StringBuilder(s1).reverse().toString())) {
palindromeArray.add(s1);
}
}
}
System.out.println(palindromeArray);
for (String s : palindromeArray)
System.out.println(s + " - is a palindrome string.");
System.out.println("The no.of substring that are palindrome : "
+ palindromeArray.size());
}
Output:-
Finding all palindromes in a given string :
Given string : abcacbbbca
******** Ignoring single character as substring palindrome ********
[cac, acbbbca, cbbbc, bb, bcacb, bbb]
cac - is a palindrome string.
acbbbca - is a palindrome string.
cbbbc - is a palindrome string.
bb - is a palindrome string.
bcacb - is a palindrome string.
bbb - is a palindrome string.
The no.of substring that are palindrome : 6
I suggest building up from a base case and expanding until you have all of the palindomes.
There are two types of palindromes: even numbered and odd-numbered. I haven't figured out how to handle both in the same way so I'll break it up.
1) Add all single letters
2) With this list you have all of the starting points for your palindromes. Run each both of these for each index in the string (or 1 -> length-1 because you need at least 2 length):
findAllEvenFrom(int index){
int i=0;
while(true) {
//check if index-i and index+i+1 is within string bounds
if(str.charAt(index-i) != str.charAt(index+i+1))
return; // Here we found out that this index isn't a center for palindromes of >=i size, so we can give up
outputList.add(str.substring(index-i, index+i+1));
i++;
}
}
//Odd looks about the same, but with a change in the bounds.
findAllOddFrom(int index){
int i=0;
while(true) {
//check if index-i and index+i+1 is within string bounds
if(str.charAt(index-i-1) != str.charAt(index+i+1))
return;
outputList.add(str.substring(index-i-1, index+i+1));
i++;
}
}
I'm not sure if this helps the Big-O for your runtime, but it should be much more efficient than trying each substring. Worst case would be a string of all the same letter which may be worse than the "find every substring" plan, but with most inputs it will cut out most substrings because you can stop looking at one once you realize it's not the center of a palindrome.
I tried the following code and its working well for the cases
Also it handles individual characters too
Few of the cases which passed:
abaaa --> [aba, aaa, b, a, aa]
geek --> [g, e, ee, k]
abbaca --> [b, c, a, abba, bb, aca]
abaaba -->[aba, b, abaaba, a, baab, aa]
abababa -->[aba, babab, b, a, ababa, abababa, bab]
forgeeksskeegfor --> [f, g, e, ee, s, r, eksske, geeksskeeg,
o, eeksskee, ss, k, kssk]
Code
static Set<String> set = new HashSet<String>();
static String DIV = "|";
public static void main(String[] args) {
String str = "abababa";
String ext = getExtendedString(str);
// will check for even length palindromes
for(int i=2; i<ext.length()-1; i+=2) {
addPalindromes(i, 1, ext);
}
// will check for odd length palindromes including individual characters
for(int i=1; i<=ext.length()-2; i+=2) {
addPalindromes(i, 0, ext);
}
System.out.println(set);
}
/*
* Generates extended string, with dividors applied
* eg: input = abca
* output = |a|b|c|a|
*/
static String getExtendedString(String str) {
StringBuilder builder = new StringBuilder();
builder.append(DIV);
for(int i=0; i< str.length(); i++) {
builder.append(str.charAt(i));
builder.append(DIV);
}
String ext = builder.toString();
return ext;
}
/*
* Recursive matcher
* If match is found for palindrome ie char[mid-offset] = char[mid+ offset]
* Calculate further with offset+=2
*
*
*/
static void addPalindromes(int mid, int offset, String ext) {
// boundary checks
if(mid - offset <0 || mid + offset > ext.length()-1) {
return;
}
if (ext.charAt(mid-offset) == ext.charAt(mid+offset)) {
set.add(ext.substring(mid-offset, mid+offset+1).replace(DIV, ""));
addPalindromes(mid, offset+2, ext);
}
}
Hope its fine
public class PolindromeMyLogic {
static int polindromeCount = 0;
private static HashMap<Character, List<Integer>> findCharAndOccurance(
char[] charArray) {
HashMap<Character, List<Integer>> map = new HashMap<Character, List<Integer>>();
for (int i = 0; i < charArray.length; i++) {
char c = charArray[i];
if (map.containsKey(c)) {
List list = map.get(c);
list.add(i);
} else {
List list = new ArrayList<Integer>();
list.add(i);
map.put(c, list);
}
}
return map;
}
private static void countPolindromeByPositions(char[] charArray,
HashMap<Character, List<Integer>> map) {
map.forEach((character, list) -> {
int n = list.size();
if (n > 1) {
for (int i = 0; i < n - 1; i++) {
for (int j = i + 1; j < n; j++) {
if (list.get(i) + 1 == list.get(j)
|| list.get(i) + 2 == list.get(j)) {
polindromeCount++;
} else {
char[] temp = new char[(list.get(j) - list.get(i))
+ 1];
int jj = 0;
for (int ii = list.get(i); ii <= list
.get(j); ii++) {
temp[jj] = charArray[ii];
jj++;
}
if (isPolindrome(temp))
polindromeCount++;
}
}
}
}
});
}
private static boolean isPolindrome(char[] charArray) {
int n = charArray.length;
char[] temp = new char[n];
int j = 0;
for (int i = (n - 1); i >= 0; i--) {
temp[j] = charArray[i];
j++;
}
if (Arrays.equals(charArray, temp))
return true;
else
return false;
}
public static void main(String[] args) {
String str = "MADAM";
char[] charArray = str.toCharArray();
countPolindromeByPositions(charArray, findCharAndOccurance(charArray));
System.out.println(polindromeCount);
}
}
Try out this. Its my own solution.
// Maintain an Set of palindromes so that we get distinct elements at the end
// Add each char to set. Also treat that char as middle point and traverse through string to check equality of left and right char
static int palindrome(String str) {
Set<String> distinctPln = new HashSet<String>();
for (int i=0; i<str.length();i++) {
distinctPln.add(String.valueOf(str.charAt(i)));
for (int j=i-1, k=i+1; j>=0 && k<str.length(); j--, k++) {
// String of lenght 2 as palindrome
if ( (new Character(str.charAt(i))).equals(new Character(str.charAt(j)))) {
distinctPln.add(str.substring(j,i+1));
}
// String of lenght 2 as palindrome
if ( (new Character(str.charAt(i))).equals(new Character(str.charAt(k)))) {
distinctPln.add(str.substring(i,k+1));
}
if ( (new Character(str.charAt(j))).equals(new Character(str.charAt(k)))) {
distinctPln.add(str.substring(j,k+1));
} else {
continue;
}
}
}
Iterator<String> distinctPlnItr = distinctPln.iterator();
while ( distinctPlnItr.hasNext()) {
System.out.print(distinctPlnItr.next()+ ",");
}
return distinctPln.size();
}
Code is to find all distinct substrings which are palindrome.
Here is the code I tried. It is working fine.
import java.util.HashSet;
import java.util.Set;
public class SubstringPalindrome {
public static void main(String[] args) {
String s = "abba";
checkPalindrome(s);
}
public static int checkPalindrome(String s) {
int L = s.length();
int counter =0;
long startTime = System.currentTimeMillis();
Set<String> hs = new HashSet<String>();
// add elements to the hash set
System.out.println("Possible substrings: ");
for (int i = 0; i < L; ++i) {
for (int j = 0; j < (L - i); ++j) {
String subs = s.substring(j, i + j + 1);
counter++;
System.out.println(subs);
if(isPalindrome(subs))
hs.add(subs);
}
}
System.out.println("Total possible substrings are "+counter);
System.out.println("Total palindromic substrings are "+hs.size());
System.out.println("Possible palindromic substrings: "+hs.toString());
long endTime = System.currentTimeMillis();
System.out.println("It took " + (endTime - startTime) + " milliseconds");
return hs.size();
}
public static boolean isPalindrome(String s) {
if(s.length() == 0 || s.length() ==1)
return true;
if(s.charAt(0) == s.charAt(s.length()-1))
return isPalindrome(s.substring(1, s.length()-1));
return false;
}
}
OUTPUT:
Possible substrings:
a
b
b
a
ab
bb
ba
abb
bba
abba
Total possible substrings are 10
Total palindromic substrings are 4
Possible palindromic substrings: [bb, a, b, abba]
It took 1 milliseconds
I need to know how many chars of the same type are in one string.
I have tried this
String x ="(3+3)*(4-2)";
int a = x.indexOf( "(" );
But that only give me the first index
You can use a loop and use the other method indexOf(int, int):
String x ="(3+3)*(4-2)";
int a = x.indexOf( "(" );
while (a >= 0) {
System.out.println("Char '(' found at: "+a);
a = x.indexOf('(', a+1);
}
It seems like it would be better to put it in a separate function:
// accepts a string and a char to find the number of occurrences of
public static int get_count(String s, char c) {
int count = 0; // count initially 0
for (int i = 0; i < s.length(); i++) // loop through the whole string
if (s.charAt(i) == c)
count ++; // increment every time an occurrence happens
return count; // return the count in the end
}
You can call it like this:
System.out.println(get_count("(3+3)*(4-2)", '('));
// Output: 2
There's a few ways I could think of doing this, but one of the simplest would be to simply loop the through characters in the String....
String x ="(3+3)*(4-2)";
int count = 0;
for (char c : x.toCharArray()) {
if (c == '(') {
count++;
}
}
System.out.println(count);
And just because it can be done...you could use a little regexp...(I know, overkill)
Pattern p = Pattern.compile("\\(");
Matcher matcher = p.matcher(x);
while (matcher.find()) {
count++;
}
System.out.println(count);
The code below does what you want. If performance is critical you can make optimization with this. If you want more elegant solutions you may take a look at regex library of java.
int occurences = 0;
String x ="(3+3)*(4-2)";
char tolookfor = '(';
for(int i = 0; i < x.length() ; i++)
{
if(x.charAt(i) == tolookfor)
occurences++;
}
You can try this
String x ="(3+3)*(4-2)";
char[] arr=x.toCharArray();
Map<String,Integer> map=new HashMap<>();
for(int i=0;i<arr.length;i++){
Integer upTo=map.get(String.valueOf(arr[i]));
if (upTo==null) {
upTo=0;
}
map.put(String.valueOf(arr[i]),upTo+1) ;
}
for (Map.Entry<String,Integer> entry:map.entrySet()){
System.out.println("Number of "+entry.getKey()+" in this string is: "+entry.getValue());
}
out put
Number of 3 in this string is: 2
Number of 2 in this string is: 1
Number of 4 in this string is: 1
Number of * in this string is: 1
Number of + in this string is: 1
Number of ( in this string is: 2
Number of ) in this string is: 2
Number of - in this string is: 1
It’s unbelievable how complicated the answers to such a simple question can be.
x.indexOf( "(" );
But that only give me the first index
Use x.indexOf( "(", fromIndex ); to find more occurrences. Point.
By the way, if you are looking for a single char you can use x.indexOf( '('); and x.indexOf( '(', fromIndex ); to be more efficient.
So the most efficient way without reinventing the wheel would be:
int count=0;
for(int pos=s.indexOf('('); pos!=-1; pos=s.indexOf('(', pos+1)) count++;
Use StringUtils.countMatches
StringUtils.countMatches(value,"(");
or
public static int countMatches(String value, String valueToCount) {
if (value.isEmpty() || valueToCount.isEmpty()) {
return 0;
}
int count = 0;
int index = 0;
while ((index = value.indexOf(valueToCount, index)) != -1) {
count++;
index += valueToCount.length();
}
return count;
}
This will help you!
public static int counter(String x, char y) {
char[] array=x.toCharArray();
int count=0;
for(int i=0;i<x.length();i++)
{
if(y==array[i]) count++;
}
return (count>0)? count:0;
}