Algorithm Notes
Summary: Partition Labels — notes not yet curated.
Time: Estimate via loops/recurrences; common classes: O(1), O(log n), O(n), O(n log n), O(n^2)
Space: Count auxiliary structures and recursion depth.
Tip: See the Big-O Guide for how to derive bounds and compare trade-offs.
Big-O Guide
Source
"""
Partition Labels
TODO: Add problem description
"""
from src.interview_workbook.leetcode._registry import register_problem
from src.interview_workbook.leetcode._types import Category, Difficulty
class Solution:
def solve(self, *args) -> list[int]:
"""
Greedy solution to Partition Labels.
Returns a list of partition lengths.
"""
s = args[0]
last_index = {c: i for i, c in enumerate(s)}
partitions = []
start = end = 0
for i, c in enumerate(s):
end = max(end, last_index[c])
if i == end:
partitions.append(end - start + 1)
start = i + 1
return partitions
def demo():
"""Run a demo for the Partition Labels problem."""
solver = Solution()
s = "ababcbacadefegdehijhklij"
result = solver.solve(s)
return str(result)
register_problem(
id=763,
slug="partition_labels",
title="Partition Labels",
category=Category.GREEDY,
difficulty=Difficulty.MEDIUM,
tags=["string", "greedy", "two_pointers"],
url="https://leetcode.com/problems/partition-labels/",
notes="",
)