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Given two strings, check if substring characters occur in correct order in string.
Input : test_str = 'geeksforgeeks', K = 'sees' Output : True Explanation : "s" after that "ee" and then "s" is present in order in string 1.
Input : test_str = 'geeksforgeeks', K = 'seef' Output : False Explanation : Unordered String.
Method #1 : Using join() + generator expression + in operator
In this, we check we join all the characters which occur in the substring using join(), post that check if substring is present using in operator.
The original string is : geeksforgeeks Is substring in order : True
Time Complexity: O(n)
Space Auxiliary: O(n)
Method #2 : Using all() + next() + generator expression
In this, we get the string with just substring characters using next() and generator expression, to check for order, all() operation is used for each character in substring.
The original string is : geeksforgeeks Is substring in order : True
Time Complexity: O(n)
Auxiliary Space: O(n)
Method #3 : Using find() method
The original string is : geeksforgeeks Is substring in order : True
Time Complexity: O(n)
Auxiliary Space: O(n)
Method #4 : Using replace() and find() methods
The original string is : geeksforgeeks Is substring in order : True
Method #5 : Using operator.contains() method
Approach
The original string is : geeksforgeeks Is substring in order : True
Time Complexity : O(N) N- length of string
Auxiliary Space - O(1) because res is a single variable
Method 6 : using list comprehension and the all() function
The original string is : geeksforgeeks Is substring in order : True
The time complexity of this approach is O(n^2), where n is the length of the substring K, because for each character in K, we need to search through the remaining part of test_str to find its position.
The auxiliary space complexity is O(1), because we only use a few extra variables to store the current position in test_str, the previous position found by find(), and the result of the all() function. No additional data structures are created.