226 lines
8.6 KiB
Python
226 lines
8.6 KiB
Python
"""/api/audio/speak-stream — desktop streaming TTS over WebSocket."""
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from __future__ import annotations
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import json
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import time
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from urllib.parse import urlencode
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import pytest
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from starlette.testclient import TestClient
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from starlette.websockets import WebSocketDisconnect
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from hermes_cli import web_server
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import hermes_cli.web_server_gateway as _web_server_gateway
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@pytest.fixture
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def stream_client(monkeypatch, _isolate_hermes_home):
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previous_auth_required = getattr(web_server.app.state, "auth_required", None)
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web_server.app.state.auth_required = False
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client = TestClient(web_server.app)
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try:
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yield client
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finally:
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close = getattr(client, "close", None)
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if close is not None:
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close()
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if previous_auth_required is None:
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if hasattr(web_server.app.state, "auth_required"):
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delattr(web_server.app.state, "auth_required")
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else:
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web_server.app.state.auth_required = previous_auth_required
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def _url(token: str | None = None) -> str:
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return f"/api/audio/speak-stream?{urlencode({'token': token or web_server._SESSION_TOKEN})}"
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class _FakeStreamer:
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sample_rate = 24000
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channels = 1
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def __init__(self, chunks):
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self.chunks = chunks
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self.requests: list[str] = []
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def stream(self, text):
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self.requests.append(text)
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yield from self.chunks
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def _patch_provider(monkeypatch, streamer, cap=4000):
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monkeypatch.setattr("tools.tts_streaming.resolve_streaming_provider", lambda cfg: streamer)
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monkeypatch.setattr("tools.tts_tool._load_tts_config", dict)
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monkeypatch.setattr("tools.tts_tool._get_provider", lambda cfg: "fake")
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monkeypatch.setattr("tools.tts_tool._resolve_max_text_length", lambda provider, cfg: cap)
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class _RateLearningStreamer(_FakeStreamer):
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"""Mimics the OpenAI-compatible streamer: the true PCM rate is only known once
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the endpoint's response headers arrive inside stream()."""
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def stream(self, text):
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self.sample_rate = 44100
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yield from super().stream(text)
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def test_start_frame_carries_rate_learned_during_first_stream(stream_client, monkeypatch):
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streamer = _RateLearningStreamer([b"\x01\x02"])
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_patch_provider(monkeypatch, streamer)
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with stream_client.websocket_connect(_url()) as conn:
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conn.send_text(json.dumps({"text": "Hello there.", "done": True}))
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assert conn.receive_json() == {"type": "start", "sample_rate": 44100, "channels": 1}
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assert conn.receive_bytes() == b"\x01\x02"
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assert conn.receive_json() == {"type": "end"}
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def test_streams_pcm_frames_then_end(stream_client, monkeypatch):
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streamer = _FakeStreamer([b"\x01\x02\x03\x04", b"\x05\x06"])
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_patch_provider(monkeypatch, streamer)
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with stream_client.websocket_connect(_url()) as conn:
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conn.send_text(json.dumps({"text": "Hello there.", "done": True}))
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start = conn.receive_json()
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assert start == {"type": "start", "sample_rate": 24000, "channels": 1}
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assert conn.receive_bytes() == b"\x01\x02\x03\x04"
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assert conn.receive_bytes() == b"\x05\x06"
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assert conn.receive_json() == {"type": "end"}
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assert streamer.requests == ["Hello there."]
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def test_short_cjk_opener_is_synthesized_alone_with_configured_min_len(stream_client, monkeypatch):
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"""speak_stream_ws cuts with the requesting profile's tts.streaming.min_len (#96927): a 7-char
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CJK opener gets its own provider request instead of riding behind the second sentence."""
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streamer = _FakeStreamer([b"\x00\x00"])
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_patch_provider(monkeypatch, streamer)
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monkeypatch.setattr("tools.tts_tool._load_tts_config", lambda: {"streaming": {"min_len": 6}})
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with stream_client.websocket_connect(_url()) as conn:
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conn.send_text(json.dumps({"text": "记得,叫团团. 然后我们再说第二句话,这一句要长一些才行. ", "done": True}))
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# The start frame is deferred until the first PCM chunk (rate learned from the endpoint).
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assert conn.receive_json()["type"] == "start"
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while True:
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message = conn.receive()
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if message.get("bytes") is None:
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assert json.loads(message["text"]) == {"type": "end"}
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break
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assert streamer.requests[0] == "记得,叫团团.", streamer.requests
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def test_long_text_is_split_across_provider_requests(stream_client, monkeypatch):
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streamer = _FakeStreamer([b"\x00\x00"])
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_patch_provider(monkeypatch, streamer, cap=24)
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with stream_client.websocket_connect(_url()) as conn:
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conn.send_text(
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json.dumps(
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{"text": "First sentence here. Second sentence here. Third one.", "done": True}
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)
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)
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assert conn.receive_json()["type"] == "start"
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# One PCM frame per split piece, then end.
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frames = 0
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while True:
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message = conn.receive()
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if message.get("bytes") is not None:
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frames += 1
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else:
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assert json.loads(message["text"]) == {"type": "end"}
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break
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assert len(streamer.requests) > 1
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assert frames == len(streamer.requests)
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# Nothing lost in the split: every sentence reached the provider.
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joined = " ".join(streamer.requests)
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for fragment in ("First sentence here.", "Second sentence here.", "Third one."):
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assert fragment in joined
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def test_split_text_respects_cap_and_preserves_content():
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text = "Alpha beta. Gamma delta epsilon. Zeta eta theta iota kappa."
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pieces = _web_server_gateway._split_text_for_speak_stream(text, 30)
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assert pieces
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assert all(len(piece) <= 30 for piece in pieces)
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joined = " ".join(pieces)
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for word in text.replace(".", "").split():
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assert word in joined
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def test_edge_speak_stream_speaks_each_sentence_instead_of_whole_text_fallback(
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stream_client, monkeypatch, tmp_path
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):
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"""Edge has no chunked API, but the documented path is per-sentence sync
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synthesis. speak-stream must stream that PCM — not ``type: fallback``,
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which makes Desktop POST the whole reply and wait for it.
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"""
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first = "The first spoken sentence is long enough to stand alone."
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second = "The second spoken sentence is also long enough to stand alone."
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reply = f"{first} {second}"
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pcm = [b"\x11\x00\x22\x00", b"\x33\x00\x44\x00"]
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calls: list[str] = []
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pcm_for: dict[str, bytes] = {}
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def fake_tts(*args, **kwargs):
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raw = kwargs.get("text") if "text" in kwargs else (args[0] if args else "")
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text = raw if isinstance(raw, str) else ""
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calls.append(text)
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path = kwargs.get("output_path") or str(tmp_path / f"sent-{len(calls)}.mp3")
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# Edge's sync tool writes MP3 bytes, not a WAV container.
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with open(path, "wb") as fh:
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fh.write(b"ID3not-a-wav")
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pcm_for[path] = pcm[len(calls) - 1]
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return json.dumps({"success": True, "file_path": path, "file_paths": [path]})
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def fake_ffmpeg(_ffmpeg, args, **_kwargs):
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import subprocess
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path = args[args.index("-i") + 1]
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assert "s16le" in args and "pipe:1" in args
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return subprocess.CompletedProcess(args, 0, stdout=pcm_for[path], stderr=b"")
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monkeypatch.setattr("tools.tts_streaming.resolve_streaming_provider", lambda cfg: None)
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monkeypatch.setattr(
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"tools.tts_tool._load_tts_config",
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lambda: {"provider": "edge", "streaming": {"min_len": 6}},
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)
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monkeypatch.setattr("tools.tts_tool._get_provider", lambda cfg: "edge")
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monkeypatch.setattr("tools.tts_tool._resolve_max_text_length", lambda provider, cfg: 4000)
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monkeypatch.setattr("tools.tts_tool.text_to_speech_tool", fake_tts)
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monkeypatch.setattr("tools.tts_tool_delivery._ffmpeg_run", fake_ffmpeg)
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monkeypatch.setattr("shutil.which", lambda name: "/usr/bin/ffmpeg" if name == "ffmpeg" else None)
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with stream_client.websocket_connect(_url()) as conn:
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conn.send_text(json.dumps({"text": reply, "done": True}))
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frames = []
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while True:
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message = conn.receive()
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if message.get("bytes") is not None:
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frames.append(message["bytes"])
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continue
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frames.append(json.loads(message["text"]))
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if frames[-1].get("type") in {"end", "fallback"}:
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break
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assert {"type": "fallback"} not in frames
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assert frames[0] == {"type": "start", "sample_rate": 24000, "channels": 1}
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assert frames[-1] == {"type": "end"}
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assert frames[1:-1] == pcm
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assert len(calls) == 2
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assert first in calls[0] and second not in calls[0]
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assert second in calls[1] and first not in calls[1]
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assert reply not in calls
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