Question: Here's a Python program that prompts the user to enter a string and displays the maximum consecutive increasingly ordered substring. I'll also explain the time

Here's a Python program that prompts the user to enter a string and displays the maximum consecutive increasingly ordered substring. I'll also explain the time complexity of the program.
python
def max_increasing_substring(s):
max_substring =""
current_substring =""
for i in range(len(s)):
if i ==0 or s[i]> s[i -1]:
current_substring += s[i]
else:
if len(current_substring)> len(max_substring):
max_substring = current_substring
current_substring = s[i]
# Check one last time at the end of the loop
if len(current_substring)> len(max_substring):
max_substring = current_substring
return max_substring
def main():
user_input = input("Enter a string: ")
result = max_increasing_substring(user_input)
print(f"Maximum consecutive increasingly ordered substring is {result}")
if __name__=="__main__":
main()
Explanation:
1. max_increasing_substring function:
- It initializes `max_substring` to store the longest increasing substring found so far and `current_substring` to track the current increasing substring.
- It iterates over the string, appending characters to `current_substring` if they are in increasing order compared to the previous character.
- If a character is not in increasing order, it compares the length of `current_substring` with `max_substring`. If `current_substring` is longer, it updates `max_substring`.
- After the loop, it checks one final time to ensure the last `current_substring` is considered.
2. Time Complexity:
- The time complexity of this program is O(n), where n is the length of the string. The loop iterates over each character of the string exactly once, and all operations inside the loop (comparison, string concatenation) are O(1). Therefore, the overall time complexity is linear in relation to the input size.
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