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| import os |
| from pathlib import Path |
|
|
| import simuleval.cli as cli |
| from simuleval.agents import AgentPipeline, TextToTextAgent |
| from simuleval.agents.actions import ReadAction, WriteAction |
| from simuleval.data.segments import TextSegment |
|
|
| ROOT_PATH = Path(__file__).parents[2] |
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|
| def test_pipeline_cmd(root_path=ROOT_PATH): |
| cli.sys.argv[1:] = [ |
| "--agent", |
| os.path.join(root_path, "examples", "quick_start", "agent_pipeline.py"), |
| "--source", |
| os.path.join(root_path, "examples", "quick_start", "source.txt"), |
| "--target", |
| os.path.join(root_path, "examples", "quick_start", "target.txt"), |
| ] |
| cli.main() |
|
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|
|
| def test_pipeline(): |
| 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 = self.vocab[len(self.states.source)] |
|
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| return WriteAction(prediction, finished=(lagging <= 1)) |
| else: |
| return ReadAction() |
|
|
| class DummyWait2TextAgent(DummyWaitkTextAgent): |
| waitk = 2 |
|
|
| class DummyWait4TextAgent(DummyWaitkTextAgent): |
| waitk = 4 |
|
|
| class DummyPipeline(AgentPipeline): |
| pipeline = [DummyWait2TextAgent, DummyWait4TextAgent] |
|
|
| args = None |
| agent_1 = DummyPipeline.from_args(args) |
| agent_2 = DummyPipeline.from_args(args) |
| for _ in range(10): |
| segment = TextSegment(0, "A") |
| output_1 = agent_1.pushpop(segment) |
| agent_2.push(segment) |
| output_2 = agent_2.pop() |
| assert output_1.content == output_2.content |
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