Algorithm Notes
Summary: Audit — 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
"""
Audit
TODO: Add problem description
"""
from ._registry import register_problem
from ._types import Category, Difficulty
class Solution:
def solve(self, *args) -> str:
"""Deterministic placeholder solution for audit module."""
return "audit placeholder"
def demo():
"""Run a deterministic demo for the audit module."""
solver = Solution()
result = solver.solve()
return str(result)
register_problem(
id=0,
slug="_audit",
title="Audit",
category=Category.ARRAYS_HASHING,
difficulty=Difficulty.EASY,
tags=["utility"],
url="",
notes="Internal module for auditing purposes.",
)