Given a string, find the smallest window length with all distinct characters of the given string. For eg. str = “aabcbcdbca”, then the result would be 4 as of the smallest window will be “dbca” .
Examples:
Input: aabcbcdbca Output: dbca Explanation: Possible substrings= {aabcbcd, abcbcd, bcdbca, dbca....} Of the set of possible substrings 'dbca' is the shortest substring having all the distinct characters of given string. Input: aaab Output: ab Explanation: Possible substrings={aaab, aab, ab} Of the set of possible substrings 'ab' is the shortest substring having all the distinct characters of given string.
Solution: Above problem states that we have to find the smallest window that contains all the distinct characters of the given string even if the smallest string contains repeating elements.
For example, in “aabcbcdb”, the smallest string that contains all the characters is “abcbcd”.
Method 1: This is the Brute Force method of solving the problem using HashMap.

Approach : For solving the problem we first have to find out all the distinct characters present in the string. This can be done using a HashMap. The next thing is to generate all the possible substrings. This follows by checking whether a substring generated has all the required characters(stored in the hash_map) or not. If yes, then compare its length with the minimum substring length which follows the above constraints, found till now.
HashMap: HashMap is a part of Java’s collection since Java 1.2. It provides the basic implementation of the Map interface of Java. It stores the data in (Key, Value) pairs. To access a value one must know its key. HashMap is known as HashMap because it uses a technique called Hashing. Hashing is a technique of converting a large String to small String that represents the same String. A shorter value helps in indexing and faster searches. HashSet also uses HashMap internally. It internally uses a link list to store keyvalue pairs already explained in HashSet in detail and further articles.

Algorithm :
 Store all distinct characters of the given string in a hash_map.
 Take a variable count and initialize it with value 0.
 Generate the substrings using two pointers.
 Now check whether generated substring is valid or not:
 As soon we find that the character of the substring generated has not been encountered before, increment count by 1.
 We can use a visited array of max_chars size to find whether the current character has been encountered before or not.
 If count is equal to equal to size of hash_map the substring generated is valid
 If it is a valid substring, compare it with the minimum length substring already generated.

Pseudo Code:
maphash_map; for ( i=0 to str.length()) hash_map[str[i]]++;//finding all distinct charaters of string minimum_size=INT_MAX Distinct_chars=hash_map.size() for(i=0 to str.length()) count=0; sub_str=""; visited[256]={0}; for(j=i to n) sub_str+=str[j] if(visited[str[j]]==0) count++ visited[str[j]]=1; if(count==Distinct_chars) end loop if(sub_str.length()<minimum_size&& count==Distinct_chars) ans=sub_str; return ans

Implementation:
// C++ program to find the smallest
// window containing all characters
// of a pattern.
#include <bits/stdc++.h>
using
namespace
std;
const
int
MAX_CHARS = 256;
// Function to find smallest window containing
// all distinct characters
string findSubString(string str)
{
int
n = str.length();
// Count all distinct characters.
int
dist_count = 0;
unordered_map<
int
,
int
> hash_map;
for
(
int
i = 0; i < n; i++) {
hash_map[str[i]]++;
}
dist_count = hash_map.size();
int
size = INT_MAX;
string res;
// Now follow the algorithm discussed in below
for
(
int
i = 0; i < n; i++) {
int
count = 0;
int
visited[256] = { 0 };
string sub_str =
""
;
for
(
int
j = i; j < n; j++) {
if
(visited[str[j]] == 0) {
count++;
visited[str[j]] = 1;
}
sub_str += str[j];
if
(count == dist_count)
break
;
}
if
(sub_str.length() < size && count == dist_count)
res = sub_str;
}
return
res;
}
// Driver Code
int
main()
{
string str =
"aabcbcdbca"
;
cout <<
"Smallest window containing all distinct"
" characters is: "
<< findSubString(str);
return
0;
}
chevron_rightfilter_noneOutput:Smallest window containing all distinct characters is: dbca

Complexiy Analysis:
 Time Complexity: O(N^2).
This time is required to generate all possible substrings of a string of length “N”.  Space Complexity: O(N).
As a hash_map has been used of size N.
 Time Complexity: O(N^2).
Method 2: Here we have used Sliding Window technique to arrive at the solution. This technique shows how a nested for loop in few problems can be converted to single for loop and hence reducing the time complexity.

Approach: Basically a window of characters is maintained by using two pointers namely start and end. These start and end pointers can be used to shrink and increase the size of window respectively. Whenever the window contains all characters of given string, the window is shrinked from left side to remove extra characters and then its length is compared with the smallest window found so far.
If in the present window, no more characters can be deleted then we start increasing the size of the window using the end until all the distinct characters present in the string are also there in the window. Finally, find the minimum size of each window.

Algorithm :
 Maintain an array (visited) of maximum possible characters (256 characters) and as soon as we find any in the string, mark that index in the array (this is to count all distinct characters in the string).
 Take two pointers start and end which will mark the start and end of window.
 Take a counter=0 which will be used to count distinct characters in the window.
 Now start reading the characters of the given string and if we come across a character which has not been visited yet increment the counter by 1.
 If the counter is equal to total number of distinct characters, Try to shrink the window.
 For shrinking the window :
 If the frequency of character at start pointer is greater than 1 increment the pointer as it is redundant.
 Now compare the length of present window with the minimum window length.

Implementation:
C++
// C++ program to find the smallest
// window containing all characters
// of a pattern.
#include <bits/stdc++.h>
using
namespace
std;
const
int
MAX_CHARS = 256;
// Function to find smallest window containing
// all distinct characters
string findSubString(string str)
{
int
n = str.length();
// Count all distinct characters.
int
dist_count = 0;
bool
visited[MAX_CHARS] = {
false
};
for
(
int
i = 0; i < n; i++) {
if
(visited[str[i]] ==
false
) {
visited[str[i]] =
true
;
dist_count++;
}
}
// Now follow the algorithm discussed in below
// post. We basically maintain a window of characters
// that contains all characters of given string.
int
start = 0, start_index = 1, min_len = INT_MAX;
int
count = 0;
int
curr_count[MAX_CHARS] = { 0 };
for
(
int
j = 0; j < n; j++) {
// Count occurrence of characters of string
curr_count[str[j]]++;
// If any distinct character matched,
// then increment count
if
(curr_count[str[j]] == 1)
count++;
// if all the characters are matched
if
(count == dist_count) {
// Try to minimize the window i.e., check if
// any character is occurring more no. of times
// than its occurrence in pattern, if yes
// then remove it from starting and also remove
// the useless characters.
while
(curr_count[str[start]] > 1) {
if
(curr_count[str[start]] > 1)
curr_count[str[start]];
start++;
}
// Update window size
int
len_window = j  start + 1;
if
(min_len > len_window) {
min_len = len_window;
start_index = start;
}
}
}
// Return substring starting from start_index
// and length min_len
return
str.substr(start_index, min_len);
}
// Driver code
int
main()
{
string str =
"aabcbcdbca"
;
cout <<
"Smallest window containing all distinct"
" characters is: "
<< findSubString(str);
return
0;
}
chevron_rightfilter_noneJava
// Java program to find the smallest window containing
// all characters of a pattern.
import
java.util.Arrays;
public
class
GFG {
static
final
int
MAX_CHARS =
256
;
// Function to find smallest window containing
// all distinct characters
static
String findSubString(String str)
{
int
n = str.length();
// Count all distinct characters.
int
dist_count =
0
;
boolean
[] visited =
new
boolean
[MAX_CHARS];
Arrays.fill(visited,
false
);
for
(
int
i =
0
; i < n; i++) {
if
(visited[str.charAt(i)] ==
false
) {
visited[str.charAt(i)] =
true
;
dist_count++;
}
}
// Now follow the algorithm discussed in below
// post. We basically maintain a window of characters
// that contains all characters of given string.
int
start =
0
, start_index = 
1
;
int
min_len = Integer.MAX_VALUE;
int
count =
0
;
int
[] curr_count =
new
int
[MAX_CHARS];
for
(
int
j =
0
; j < n; j++) {
// Count occurrence of characters of string
curr_count[str.charAt(j)]++;
// If any distinct character matched,
// then increment count
if
(curr_count[str.charAt(j)] ==
1
)
count++;
// if all the characters are matched
if
(count == dist_count) {
// Try to minimize the window i.e., check if
// any character is occurring more no. of times
// than its occurrence in pattern, if yes
// then remove it from starting and also remove
// the useless characters.
while
(curr_count[str.charAt(start)] >
1
) {
if
(curr_count[str.charAt(start)] >
1
)
curr_count[str.charAt(start)];
start++;
}
// Update window size
int
len_window = j  start +
1
;
if
(min_len > len_window) {
min_len = len_window;
start_index = start;
}
}
}
// Return substring starting from start_index
// and length min_len
return
str.substring(start_index, start_index + min_len);
}
// Driver code
public
static
void
main(String args[])
{
String str =
"aabcbcdbca"
;
System.out.println(
"Smallest window containing all distinct"
+
" characters is: "
+ findSubString(str));
}
}
// This code is contributed by Sumit Ghosh
chevron_rightfilter_nonePython
# Python program to find the smallest
# window containing
# all characters of a pattern
from
collections
import
defaultdict
MAX_CHARS
=
256
# Function to find smallest window
# containing all distinct characters
def
findSubString(strr):
n
=
len
(strr)
# Count all distinct characters.
dist_count
=
len
(
set
([x
for
x
in
strr]))
curr_count
=
defaultdict(
lambda
:
0
)
count
=
0
start
=
0
min_len
=
n
# Now follow the algorithm discussed in below
# post. We basically maintain a window of characters
# that contains all characters of given string.
for
j
in
range
(n):
curr_count[strr[j]]
+
=
1
# If any distinct character matched,
# then increment count
if
curr_count[strr[j]]
=
=
1
:
count
+
=
1
# Try to minimize the window i.e., check if
# any character is occurring more no. of times
# than its occurrence in pattern, if yes
# then remove it from starting and also remove
# the useless characters.
if
count
=
=
dist_count:
while
curr_count[strr[start]] >
1
:
if
curr_count[strr[start]] >
1
:
curr_count[strr[start]]

=
1
start
+
=
1
# Update window size
len_window
=
j

start
+
1
if
min_len > len_window:
min_len
=
len_window
start_index
=
start
# Return substring starting from start_index
# and length min_len """
return
str
(strr[start_index: start_index
+
min_len])
# Driver code
if
__name__
=
=
'__main__'
:
print
(
"Smallest window containing "
"all distinct characters is: {}"
.
format
(
findSubString(
"aabcbcdbca"
)))
# This code is contributed by
# Subhrajit
chevron_rightfilter_noneC#
// C# program to find the smallest window containing
// all characters of a pattern.
using
System;
class
GFG {
static
int
MAX_CHARS = 256;
// Function to find smallest window containing
// all distinct characters
static
string
findSubString(
string
str)
{
int
n = str.Length;
// Count all distinct characters.
int
dist_count = 0;
bool
[] visited =
new
bool
[MAX_CHARS];
for
(
int
i = 0; i < n; i++) {
if
(visited[str[i]] ==
false
) {
visited[str[i]] =
true
;
dist_count++;
}
}
// Now follow the algorithm discussed in below
// post. We basically maintain a window of characters
// that contains all characters of given string.
int
start = 0, start_index = 1, min_len =
int
.MaxValue;
int
count = 0;
int
[] curr_count =
new
int
[MAX_CHARS];
for
(
int
j = 0; j < n; j++) {
// Count occurrence of characters of string
curr_count[str[j]]++;
// If any distinct character matched,
// then increment count
if
(curr_count[str[j]] == 1)
count++;
// if all the characters are matched
if
(count == dist_count) {
// Try to minimize the window i.e., check if
// any character is occurring more no. of times
// than its occurrence in pattern, if yes
// then remove it from starting and also remove
// the useless characters.
while
(curr_count[str[start]] > 1) {
if
(curr_count[str[start]] > 1)
curr_count[str[start]];
start++;
}
// Update window size
int
len_window = j  start + 1;
if
(min_len > len_window) {
min_len = len_window;
start_index = start;
}
}
}
// Return substring starting from start_index
// and length min_len
return
str.Substring(start_index, min_len);
}
// Driver code
public
static
void
Main(String[] args)
{
string
str =
"aabcbcdbca"
;
Console.WriteLine(
"Smallest window containing all distinct"
+
" characters is: "
+ findSubString(str));
}
}
// This code contributed by RajputJi
chevron_rightfilter_noneOutput:Smallest window containing all distinct characters is dbca

Complexiy Analysis:
 Time Complexity: O(N).
As the string is traversed using two pointers only once.  Space Complexity: O(N).
As a hash_map is used of size N.
 Time Complexity: O(N).
Related Article:
 Length of the smallest substring consisting of maximum distinct characters
 https://www.geeksforgeeks.org/findthesmallestwindowinastringcontainingallcharactersofanotherstring/
This article is contributed by Sahil Chhabra. If you like GeeksforGeeks and would like to contribute, you can also write an article using contribute.geeksforgeeks.org or mail your article to contribute@geeksforgeeks.org. See your article appearing on the GeeksforGeeks main page and help other Geeks.
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