Stabilize asyncio rate-limited fetcher
Medium Python arena: async concurrency, semaphores, timeouts, and result ordering
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Missing prerequisites: python-easy-asyncio-rate-limit
A client must call a partner API without exceeding concurrency limits. You are working inside a Python service repository, and the arena only clears when the result is safe, deterministic, and explainable.
Learn to apply async concurrency, semaphores, timeouts, and result ordering in a Python service repository while explaining the invariant, safety constraints, and hidden edge cases.
- Demonstrates async concurrency, semaphores, timeouts, and result ordering
- Handles the visible sample and hidden edge cases
- Keeps output deterministic and explainable
- Avoids unsafe dynamic execution
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