Given two strings s
and part
, perform the following operation on s
until all occurrences of the substring part
are removed:
- Find the leftmost occurrence of the substring
part
and remove it froms
.
Return s
after removing all occurrences of part
.
A substring is a contiguous sequence of characters in a string.
Example 1:
Input: s = "daabcbaabcbc", part = "abc" Output: "dab" Explanation: The following operations are done: - s = "daabcbaabcbc", remove "abc" starting at index 2, so s = "dabaabcbc". - s = "dabaabcbc", remove "abc" starting at index 4, so s = "dababc". - s = "dababc", remove "abc" starting at index 3, so s = "dab". Now s has no occurrences of "abc".
Example 2:
Input: s = "axxxxyyyyb", part = "xy" Output: "ab" Explanation: The following operations are done: - s = "axxxxyyyyb", remove "xy" starting at index 4 so s = "axxxyyyb". - s = "axxxyyyb", remove "xy" starting at index 3 so s = "axxyyb". - s = "axxyyb", remove "xy" starting at index 2 so s = "axyb". - s = "axyb", remove "xy" starting at index 1 so s = "ab". Now s has no occurrences of "xy".
Constraints:
1 <= s.length <= 1000
1 <= part.length <= 1000
s
andpart
consists of lowercase English letters.
Approach 01:
-
C++
-
Python
class Solution { public: string removeOccurrences(string inputStr, string targetStr) { while (true) { size_t index = inputStr.find(targetStr); if (index != string::npos) { inputStr.erase(index, targetStr.length()); } else { break; } } return inputStr; } };
class Solution: def removeOccurrences(self, inputStr: str, targetStr: str) -> str: while True: if targetStr in inputStr: index = inputStr.index(targetStr) inputStr = inputStr[:index] + inputStr[index + len(targetStr):] else: break return inputStr
Time Complexity:
- Finding the Substring:
Each call to
find()
takes \( O(N) \) in the worst case, where \( N \) is the length ofinputStr
. - Erasing the Substring:
Each call to
erase()
takes \( O(N) \) in the worst case, as it shifts all characters after the removed portion. - Loop Execution:
In the worst case, the loop runs \( O(N / M) \) times, where \( M \) is the length of
targetStr
. - Overall Time Complexity:
\( O(N^2 / M) \), considering multiple
find()
anderase()
operations.
Space Complexity:
- String Storage:
The function operates in-place on
inputStr
, using \( O(1) \) extra space. - Overall Space Complexity:
\( O(1) \), as no additional data structures are used.