ai-agent-book 精选快照(<2MB 代码与文档,来自 github.com/bojieli/ai-agent-book)
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import numpy as np
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from qwen2_streaming import parse_response
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from whisper_baseline import energy_vad_endpoints, energy_vad_events
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def test_qwen_json_and_native_event_token_parsing():
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transcript, events = parse_response('{"transcript":"你好","acoustic_events":["noise", "<|laughter|>"]}')
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assert transcript == "你好"
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assert events == ["<|noise|>", "<|laughter|>"]
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def test_600ms_vad_splits_a_long_pause():
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sr = 1000
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audio = np.concatenate([np.ones(sr), np.zeros(700), np.ones(sr)]) * 0.1
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endpoints = energy_vad_endpoints(audio, sr, silence_ms=600)
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assert len(endpoints) == 2
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assert 900 <= endpoints[0] <= 1100
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def test_vad_separates_acoustic_endpoint_from_600ms_decision():
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sr = 1000
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audio = np.concatenate([np.ones(sr), np.zeros(700), np.ones(sr)]) * 0.1
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event = energy_vad_events(audio, sr, silence_ms=600)[0]
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assert 900 <= event.speech_endpoint <= 1100
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assert 590 <= event.decision - event.speech_endpoint <= 610
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