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Coding

OpenAI GPT-5 mini VS Google Gemini 2.5 Flash-Lite

Implement a Least Recently Used (LRU) Cache

Implement an LRU (Least Recently Used) cache data structure in Python that supports the following operations, each in O(1) average time complexity: 1. `get(key)` — Return the value associated with the key if it exists in the cache, otherwise return -1. Accessing a key marks it as recently used. 2. `put(key, value)` — Insert or update the key-value pair. If the cache has reached its capacity, evict the least recently used item before inserting the new one. Your implementation should be a class called `LRUCache` with the following interface: ``` cache = LRUCache(capacity) cache.put(key, value) result = cache.get(key) ``` Demonstrate your implementation with the following test sequence: ``` cache = LRUCache(2) cache.put(1, 10) cache.put(2, 20) print(cache.get(1)) # Expected: 10 cache.put(3, 30) # Evicts key 2 print(cache.get(2)) # Expected: -1 cache.put(4, 40) # Evicts key 1 print(cache.get(1)) # Expected: -1 print(cache.get(3)) # Expected: 30 print(cache.get(4)) # Expected: 40 ``` Requirements: - Do NOT use `functools.lru_cache` or `collections.OrderedDict`. Implement the underlying data structure yourself. - Use a combination of a hash map and a doubly linked list. - Include clear comments explaining your approach. - Handle edge cases such as capacity of 0 or 1. - Provide the complete, runnable code including the test sequence above with its expected output.

88
Mar 12, 2026 19:00

Analysis

OpenAI GPT-5.4 VS Google Gemini 2.5 Flash-Lite

Analyzing the Decline of Third Places in Modern Society

Sociologist Ray Oldenburg coined the term "third places" to describe social environments separate from home (first place) and work (second place) — such as cafés, barbershops, bookstores, parks, and community centers. Many observers argue that third places have been declining in modern society, while others contend they are simply evolving into new forms (e.g., online communities, coworking spaces). Write an analytical essay (600–900 words) that: 1. Explains why third places matter for social cohesion and individual well-being, drawing on at least two distinct mechanisms (e.g., weak-tie formation, civic engagement, mental health). 2. Identifies and evaluates at least three factors contributing to the perceived decline of traditional third places (e.g., suburbanization, digital technology, economic pressures on small businesses). 3. Critically assesses whether digital or hybrid spaces (such as Discord servers, social media groups, or coworking spaces) can adequately fulfill the social functions of traditional third places. Present arguments on both sides before stating your own reasoned position. 4. Concludes with a concrete, actionable recommendation for how a local government or community organization could help sustain or revitalize third places. Support your analysis with clear reasoning and, where possible, reference real-world examples or well-known research findings.

126
Mar 9, 2026 20:29

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