Given a string, find the maximum deviation
among all substrings. The maximum deviation is defined as the difference between the maximum frequency of a character and the minimum frequency of a character.
For example, in abcaba
, a
has a frequency of 3; b
has a frequency of 2; c
has a frequency of 1. so a
has the maximum frequency, which is 3, whereas c
has a minimum frequency of 1. Therefore the deviation of this string is 3 - 1 = 2
. And we also need to find all other deviations for each of the substrings for abacaba
, the maximum among them is the answer.
I couldn't think of a better way rather than the obvious brute force approach. Thanks in advance!
For finding all substrings you have to consider O(n 2 ). See this post for more details. You can just optimize it by stop point where substring lengths be smaller than current maximum deviation.
maxDeviation = 0;
n = strlen(str);
for i = 0 to n
{
if(n-i < maxDeviation) break; //this is new stop point to improve
sub1 = substring(str,i,n);
sub2 = substring(str,0,n-i); // you can use if(i!=0) to avoid duplication of first sentence
a = findMaxDeviation(sub1); // This is O(n)
b = findMaxDeviation(sub2); // This is O(n)
maxDeviation = max(a,b);
}
print maxDeviation
Pay attention to this line if(ni < maxDeviation) break;
because you cannot find a deviation more than maxDeviation
in a string with length of smaller than maxDeviation
.
@Majid Hajibaba, in your solution, shouldn't it be if(ni < maxDeviation) continue; instead of if(ni < maxDeviation) break;
public static int getDev(Map<String, Integer> devEntries){
List<Integer> entries = devEntries.entrySet().stream()
.map(x->x.getValue())
.collect(Collectors.toList());
Comparator<Integer> collect = Comparator.naturalOrder();
Collections.sort(entries,collect.reversed());
return entries.get(0) - entries.get( entries.size()-1);
}
public static int getMaxFreqDeviation(String s, Set<Integer> deviations ) {
for (int x=0;x<s.length();x++) {
for (int g=x;g<s.length()+1;g++){
String su =s.substring(x,g);
Map<String, Integer> map = Arrays.asList(su.split(""))
.stream()
.collect(Collectors.groupingBy(v->v,Collectors.summingInt(v->1)));
if (map.entrySet().size()==1){
deviations.add(abs(0));
}else {
int devcount = getDev(map);
deviations.add(abs(devcount));
}
}
}
return deviations.stream().collect(Collectors.toList()).get(deviations.size()-1);
}
public static void main(String[] args){
String se = "abcaba";
Set<Integer> deviations = new TreeSet<>();
int ans = getMaxFreqDeviation(se,deviations);
System.out.println(ans);
}
}
I faced a similar question in a test and I used c#, although I failed during the challenge but picked it up to solve the next day. I came about something like the below.
var holdDict = new Dictionary<char, int>(); var sArray = s.ToCharArray();
var currentCharCount = 1;
//Add the first element
holdDict.Add(sArray[0],1);
for (int i = 1; i < s.Length-1; i++)
{
if (sArray[i] == sArray[i - 1])
{
currentCharCount += 1;
}
else
{
currentCharCount = 1;
}
holdDict.TryGetValue(sArray[i], out var keyValue);
if (keyValue < currentCharCount) holdDict[sArray[i]] = currentCharCount;
}
var myQueue = new PriorityQueue<string, int>();
foreach (var rec in holdDict)
{
myQueue.Enqueue($"{rec.Key}#{rec.Value}", rec.Value);
}
int highest = 0, lowest = 0, queueCount=myQueue.Count;
while (myQueue.Count > 0)
{
int currentValue = int.Parse(myQueue.Peek().Split('#')[1]);
if (myQueue.Count == queueCount) lowest = currentValue;
highest = currentValue;
myQueue.Dequeue();
}
return highest - lowest;
O(n) algo (26*26*N)
import string
def maxSubarray(s, ch1, ch2):
"""Find the largest sum of any contiguous subarray."""
"""From https://en.wikipedia.org/wiki/Maximum_subarray_problem"""
best_sum = 0
current_sum = 0
for x in s:
if x == ch1:
x = 1
elif x == ch2:
x = -1
else:
x = 0
current_sum = max(0, current_sum + x)
best_sum = max(best_sum, current_sum)
return best_sum
def findMaxDiv(s):
'''Algo from https://discuss.codechef.com/t/help-coding-strings/99427/4'''
maxDiv = 0
for ch1 in string.ascii_lowercase:
for ch2 in string.ascii_lowercase:
if ch1 == ch2:
continue
curDiv = maxSubarray(s, ch1, ch2)
if curDiv > maxDiv:
maxDiv = curDiv
return maxDiv
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