Return the number of distinct non-empty substrings of text that can be written as the concatenation of some string with itself (i.e. it can be written as a + a where a is some string).
Example 1:
Input: text = "abcabcabc" Output: 3 Explanation: The 3 substrings are "abcabc", "bcabca" and "cabcab".
Example 2:
Input: text = "leetcodeleetcode" Output: 2 Explanation: The 2 substrings are "ee" and "leetcodeleetcode".
Constraints:
1 <= text.length <= 2000text has only lowercase English letters.When you get asked this question in a real-life environment, it will often be ambiguous (especially at FAANG). Make sure to ask these questions in that case:
The brute force approach to finding distinct echo substrings means we'll check every possible substring to see if it repeats itself immediately after. We will generate all possible substrings, and then check if they are 'echo substrings'.
Here's how the algorithm would work step-by-step:
def distinct_echo_substrings_brute_force(text):
text_length = len(text)
echo_substrings = set()
for substring_start_index in range(text_length):
for substring_length in range(1, text_length - substring_start_index + 1):
substring = text[substring_start_index:substring_start_index + substring_length]
# Check if there's enough space after the substring to contain a copy of it.
if substring_start_index + 2 * substring_length <= text_length:
#Compare this substring against the substring directly after it.
if substring == text[substring_start_index + substring_length:substring_start_index + 2 * substring_length]:
echo_substrings.add(substring)
# Return the count of unique echo substrings.
return len(echo_substrings)The problem is about finding repeating substrings within a larger string. To avoid checking every single substring, we can focus on substrings that have the potential to be echoes by only considering even lengths and efficiently checking for repetitions.
Here's how the algorithm would work step-by-step:
def distinct_echo_substrings(text):
unique_echo_substrings = set()
text_length = len(text)
# Echo substrings must have an even length
for substring_length in range(2, text_length + 1, 2):
for i in range(text_length - substring_length + 1):
substring = text[i:i + substring_length]
half_length = substring_length // 2
# Compare the first and second halves
if substring[:half_length] == substring[half_length:]:
# Ensure uniqueness of echo substrings
unique_echo_substrings.add(substring)
return len(unique_echo_substrings)| Case | How to Handle |
|---|---|
| Null or empty string input | Return 0 if the input string is null or empty, as there can be no substrings. |
| String of length 1 | Return 0 as a string of length 1 cannot contain an echo substring. |
| String with all identical characters (e.g., 'aaaa') | The solution should correctly identify all echo substrings in this case, such as 'a', 'aa', and 'aaa'. |
| String containing only non-alphanumeric characters or special symbols. | The solution should handle these characters correctly, comparing them based on their ASCII values. |
| Maximum string length as defined by problem constraints or system memory | Ensure the algorithm has acceptable time complexity (ideally O(n^2) or better) to avoid timeout errors. |
| Overlapping Echo Substrings (e.g., 'ababab') | The solution must correctly identify and count *distinct* echo substrings, avoiding double-counting overlapping occurrences of same subtring. |
| String with a very long repeating sequence (e.g., 'aaaaaaaaab') | Ensure the substring comparison and length calculations do not lead to integer overflows or performance bottlenecks. |
| String with no echo substrings | The solution should return 0, demonstrating it correctly handles cases with no valid output. |