MemoryLimiter

• Description: In-Memory rate limiter that lives for the lifetime of the project runtime.

Pros:

• Fastest rate limiter since it lives in Python memory.

• No extra dependencies.

Cons:

• It makes the project stateful, meaning the rate limiter internal state is unique for each process running the project. If there are more than 1 process running the project, this rate limiter will fail.

• Rate limiter state is lost when the process is stopped or restarted.

class MemoryLimiter

Backend: pyot.limiters.memory.MemoryLimiter

Definitions:

• __init__

  • limiting_share: float = 1