![]() |
VOOZH | about |
Sometimes, while working with python strings, we can have a problem in which we need to test occurrence of substring. There is straight forward way to test this. But sometimes, we have a more specific problem in which we need to test if substring occurs at that particular position. Let's discuss certain ways in which this task can be performed.
Method #1: Using loop This is brute method to solve this problem. In this we iterate the string and when index occur we test for substring characters simultaneously.
The original string is : Gfg is best Does string contain substring at required position ? : True
Time Complexity: O(n) where n is the number of elements in the list “test_list”.
Auxiliary Space: O(1), constant extra space is needed
Method #2: Using string slicing This is a one-liner way to perform this task. In this, we check the substring in string using string slicing.
The original string is : Gfg is best Does string contain substring at required position ? : True
Method #3 : Using find() method
The original string is : Gfg is best Does string contain substring at required position ? : True
Method#4: Using Recursive method.
Algorithm:
The original string is : Gfg is best Does string contain substring at required position? True
The time complexity of this function is O(n), where n is the length of the input string test_str. This is because in the worst case, the function will need to iterate over the entire string to find the substring.
The auxiliary space complexity of the function is O(1), because it does not use any extra space that is proportional to the size of the input. The function only uses a constant amount of space to store the input parameters and temporary variables.
Method #5: Using Regular Expression
Step-by-step approach:
The original string is : Gfg is best Does string contain substring at required position ? : True
The time complexity of this program is O(1) because it uses a constant amount of time to compile the regular expression pattern and search for the pattern in the string.
The auxiliary space of this program is also O(1) because it uses a constant amount of memory to store the regular expression pattern and the result of the search operation.