Given a string s, find the number of substrings that do not contain any repeating characters.
Example 1:
Input: s = "abcabcbb"
Output: 3
Explanation: The answer is "abc", with the length of 3.
Example 2:
Input: s = "bbbbb"
Output: 1
Explanation: The answer is "b", with the length of 1.
Example 3:
Input: s = "pwwkew"
Output: 3
Explanation: The answer is "wke", with the length of 3. Notice that the answer must be a substring, "pwke" is a subsequence and not a substring.
Constraints:
0 <= s.length <= 5 * 104s consists of English letters, digits, symbols and spaces.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:
To count substrings without repeating characters using brute force, we'll examine every possible substring within the given text. For each substring, we'll check if it contains any repeated characters, and if it doesn't, we'll count it.
Here's how the algorithm would work step-by-step:
def count_substrings_without_repeating_characters(input_string):
string_length = len(input_string)
substring_count = 0
for starting_index in range(string_length):
for ending_index in range(starting_index, string_length):
# Extract substring based on start/end indices
current_substring = input_string[starting_index:ending_index + 1]
# Use a set to efficiently check for repeats.
character_set = set()
has_repeating_characters = False
for character in current_substring:
if character in character_set:
has_repeating_characters = True
break
# Add the character to the set.
character_set.add(character)
# Only count substrings with no repeating chars
if not has_repeating_characters:
substring_count += 1
return substring_countTo efficiently count substrings without repeating characters, we employ a sliding window technique. This approach avoids redundant checks by expanding and contracting a window across the string, keeping track of characters within the window. We use this window to count valid substrings as we slide it across the entire input.
Here's how the algorithm would work step-by-step:
def count_substrings_without_repeating_characters(input_string):
string_length = len(input_string)
start_window = 0
end_window = 0
character_set = set()
substring_count = 0
while end_window < string_length:
current_character = input_string[end_window]
# If repeat char found, shrink window
if current_character in character_set:
while current_character in character_set:
character_set.remove(input_string[start_window])
start_window += 1
character_set.add(current_character)
# Add to substring count
substring_count += end_window - start_window + 1
end_window += 1
return substring_count| Case | How to Handle |
|---|---|
| Null or empty input string | Return 0 immediately as there are no substrings. |
| Input string with a single character | Return 1, as the single character is a valid substring. |
| Input string with all identical characters (e.g., 'aaaa') | The solution should correctly identify that no substring of length greater than 1 satisfies the condition, and handle single characters correctly. |
| Input string with maximum possible length (consider memory constraints) | The solution needs to be efficient enough to avoid exceeding time or memory limits for very long strings, possibly using a sliding window approach with constant space. |
| Input string with long sequence of unique characters followed by a single repeating character | The sliding window will expand far then shrink significantly, test the edge of this expansion/contraction. |
| Input string containing unicode or extended ASCII characters | Ensure character handling logic correctly supports wider character sets without errors. |
| Input String with large number of valid substrings | Check that the return count does not overflow, given the maximum string length. |
| String with two repeating character 'abcb' | Sliding window should correctly handle the transition from 'abc' to 'bc', ensuring that all substrings are counted only once |