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| import random |
| from simuleval.utils import entrypoint |
| from simuleval.agents import TextToTextAgent |
| from simuleval.agents.actions import ReadAction, WriteAction |
| from simuleval.agents import AgentPipeline |
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| class DummyWaitkTextAgent(TextToTextAgent): |
| waitk = 0 |
| vocab = [chr(i) for i in range(ord("A"), ord("Z") + 1)] |
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| def policy(self): |
| lagging = len(self.states.source) - len(self.states.target) |
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| if lagging >= self.waitk or self.states.source_finished: |
| prediction = random.choice(self.vocab) |
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| return WriteAction(prediction, finished=(lagging <= 1)) |
| else: |
| return ReadAction() |
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| class DummyWait2TextAgent(DummyWaitkTextAgent): |
| waitk = 2 |
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| class DummyWait4TextAgent(DummyWaitkTextAgent): |
| waitk = 4 |
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| @entrypoint |
| class DummyPipeline(AgentPipeline): |
| pipeline = [DummyWait2TextAgent, DummyWait4TextAgent] |
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