Given a string s, you need to partition it into one or more balanced substrings. For example, if s == "ababcc" then ("abab", "c", "c"), ("ab", "abc", "c"), and ("ababcc") are all valid partitions, but ("a", "bab", "cc"), ("aba", "bc", "c"), and ("ab", "abcc") are not. The unbalanced substrings are bolded.
Return the minimum number of substrings that you can partition s into.
Note: A balanced string is a string where each character in the string occurs the same number of times.
Example 1:
Input: s = "fabccddg"
Output: 3
Explanation:
We can partition the string s into 3 substrings in one of the following ways: ("fab, "ccdd", "g"), or ("fabc", "cd", "dg").
Example 2:
Input: s = "abababaccddb"
Output: 2
Explanation:
We can partition the string s into 2 substrings like so: ("abab", "abaccddb").
Constraints:
1 <= s.length <= 1000s consists only of English lowercase 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 core idea is to try every single possible way to split the given string into smaller pieces. We check each split to see if it meets our criteria for having equal character frequencies in each piece.
Here's how the algorithm would work step-by-step:
def minimum_substring_partition_equal_freq_brute_force(input_string):
string_length = len(input_string)
minimum_partitions = string_length + 1
for number_of_partitions in range(1, string_length + 1):
for partition_indices in find_all_partitions(string_length, number_of_partitions):
is_valid_partition = True
for partition_index in range(number_of_partitions):
start_index = partition_indices[partition_index - 1] if partition_index > 0 else 0
end_index = partition_indices[partition_index]
substring = input_string[start_index:end_index]
if not has_equal_character_frequency(substring):
is_valid_partition = False
break
if is_valid_partition:
minimum_partitions = min(minimum_partitions, number_of_partitions)
return minimum_partitions if minimum_partitions <= string_length else -1
def find_all_partitions(string_length, number_of_partitions):
if number_of_partitions == 1:
yield [string_length]
return
if number_of_partitions == string_length:
yield list(range(1, string_length + 1))
return
def generate_partitions(current_partition, remaining_partitions):
if remaining_partitions == 1:
yield current_partition + [string_length]
return
start_index = current_partition[-1] if current_partition else 0
for index in range(start_index + 1, string_length - remaining_partitions + 2):
yield from generate_partitions(current_partition + [index], remaining_partitions - 1)
yield from generate_partitions([], number_of_partitions)
def has_equal_character_frequency(substring):
if not substring:
return True
character_counts = {}
for char in substring:
character_counts[char] = character_counts.get(char, 0) + 1
# If only one character in substring it is automatically true
if len(character_counts) <= 1:
return True
first_frequency = list(character_counts.values())[0]
# Check if all character frequencies are equal to first frequency
for frequency in character_counts.values():
if frequency != first_frequency:
return False
return True
# The core idea is to try every single possible way to split the given string
# We check each split to see if it meets our criteria for equal char frequencies
# Steps:
# 1. Start by considering a partition with just one piece
# 2. Next, try all possible ways to split the string into two pieces.
# 3. Continue by trying all possible ways to split the string into three pieces
# 4. For each possible way of splitting the string, check if each piece has the same number of occurrences of each character.
# 5. If a split satisfies the equal frequency requirement for every piece, save the number of pieces in that split.
# 6. After checking every possible split, find the smallest number of pieces among all the valid splits. This smallest number is the answer.The goal is to split a string into the fewest parts possible, where each part has all its characters appearing the same number of times. We find the earliest possible valid cut point, and then repeat the process on the rest of the string. This avoids exploring unnecessary partitions.
Here's how the algorithm would work step-by-step:
def min_substring_partition(input_string):
number_of_parts = 0
start_index = 0
string_length = len(input_string)
while start_index < string_length:
end_index = start_index
character_counts = {}
# This loop expands the current substring
while end_index < string_length:
current_char = input_string[end_index]
character_counts[current_char] = character_counts.get(current_char, 0) + 1
# Check if all chars have equal frequency
frequencies = list(character_counts.values())
if len(frequencies) > 0 and all(frequency == frequencies[0] for frequency in frequencies):
# Found a valid split point
number_of_parts += 1
start_index = end_index + 1
# Break to start a new substring from next char
break
end_index += 1
# No valid split found from the start index.
if end_index == string_length:
number_of_parts += 1
break
return number_of_parts| Case | How to Handle |
|---|---|
| Empty string input | Return an empty list as there are no substrings to partition. |
| String with a single character | Return a list containing the single character string. |
| String where all characters are the same | Return a list containing the entire string, as it already has equal frequency. |
| String where no partitioning is possible (e.g., 'aabbbcc') | Return a list containing the original string, indicating that no valid partition exists. |
| Very long string (scalability) | The solution should use an efficient algorithm (e.g., linear time complexity) to handle large input strings without exceeding memory limits. |
| String with only two distinct characters that do not divide evenly | Return a list containing the original string because an equal partition cannot be made. |
| String with many possible valid partitions (multiple solutions) | The algorithm should return any one of the valid partitions, not necessarily the shortest or longest. |
| String with Unicode characters | The character frequency counting mechanism needs to correctly handle Unicode characters, possibly using a wider character type or appropriate encoding. |