## Given problem

Your friend is typing his name into a keyboard. Sometimes, when typing a character c, the key might get long pressed, and the character will be typed 1 or more times.

You examine the typed characters of the keyboard. Return True if it is possible that it was your friends name, with some characters (possibly none) being long pressed.

``````Example 1:
Input: name = "alex", typed = "aaleex"
Output: true
Explanation: 'a' and 'e' in 'alex' were long pressed.

Example 2:
Input: name = "saeed", typed = "ssaaedd"
Output: false
Explanation: 'e' must have been pressed twice, but it wasn't in the typed output.

Example 3:
Input: name = "leelee", typed = "lleeelee"
Output: true

Example 4:
Input: name = "laiden", typed = "laiden"
Output: true
Explanation: It's not necessary to long press any character.
``````

Constraints:

• 1 <= name.length <= 1000
• 1 <= typed.length <= 1000
• The characters of name and typed are lowercase letters.

## Using brute force algorithm

Below is the source code this algorithm:

``````public boolean isLongPressedName(String name, String typed) {
NumChar[] numNameChars = new NumChar;
NumChar[] numTypedChars = new NumChar;

int countNameChars = countChars(name, numNameChars);
int countTypedChars = countChars(typed, numTypedChars);

if (countNameChars != countTypedChars) {
return false;
}

for (int i = 0; i < countNameChars + 1; ++i) {
if (numNameChars[i].c != numTypedChars[i].c
|| numNameChars[i].num > numTypedChars[i].num) {
return false;
}
}

return true;
}

private int countChars(String name, NumChar[] numNameChars) {
int count = 0;

for (int iName = 0; iName < name.length(); ++iName) {
char nameChar = name.charAt(iName);

if (numNameChars[count] == null) {
NumChar tmp = new NumChar();
numNameChars[count] = tmp;
}

numNameChars[count].c = nameChar;
++numNameChars[count].num;

if (iName < name.length() - 1) {
nameChar = name.charAt(iName + 1);
if (nameChar != numNameChars[count].c) {
++count;
}
}
}

return count;
}

class NumChar {
char c = 0;
int num = 0;
}
``````

The complexity of this algorithm:

• Time complexity: O(n)
• Space complexity: O(1000)

## Using two pointers technique

There are some edge cases in this problem:

1. When accessing all elements of name String completely, stop this working.

For example:

`````` String name = "alex";
String typed = "aaleexa";
``````

After getting through all elements of name String, the ending a character in typed String will be isolated.

So, it is a sign to return false for client.

2. The number of duplicated element in name String isn’t greater than these ones of typed String.

For example:

`````` String name = "saeed";
String typed = "ssaaedd";
``````

It is easy to find that the number of e character in name String is 2, the number of e character in typed String is 1. So, we can return false.

Therefore, in the below source code, we will use two variables, such as nDuplicatedName and nDuplicatedTyped, to identify the number of duplicated elements in the name and typed String.

``````class Solution {
public boolean isLongPressedName(String name, String typed) {
int pName = 0;
int pTyped = 0;

char[] names = name.toCharArray();
char[] typeds = typed.toCharArray();

while (pName < names.length && pTyped < typeds.length) {    // (1)
int nDuplicatedName = 1;    // (2)
while (pName + 1 < names.length && names[pName] == names[pName + 1]) {
pName = pName + 1;
++nDuplicatedName;
}

char cName = names[pName];
char cTyped = typeds[pTyped];

if (cName != cTyped) {
return false;
}

int nDuplicatedTyped = 0;
while (cName == cTyped) {
++pTyped;
++nDuplicatedTyped;
if (pTyped < typeds.length) {
cTyped = typeds[pTyped];
} else {
break;
}
}

if (nDuplicatedName > nDuplicatedTyped) {
return false;
}

++pName;
}

if (pName == names.length && pTyped == typeds.length) {
return true;
}

return false;
}
}
``````

The complexity of this solution:

• Time complexity: O(n)
• Space complexity: O(1)

In the above solution, we use toCharArray() method of String class, then it will create a new array. To reduce using extra space, we can use charAt() method to access the index of a character.

## Wrapping up

• Understanding about the two-pointers technique.

Refer:

https://leetcode.com/problems/long-pressed-name/