# tensorplay.distributed.elastic.timer.expires

Source: https://www.tensorplay.cn/docs/generated/tensorplay.distributed.elastic.timer.expires.html

```python
tensorplay.distributed.elastic.timer.expires(after: float, scope: str | None = None, client: TimerClient | None = None)
```

Context manager asserting the block finishes within after seconds.

Registers the deadline with client (default: the configured client)
and cancels it on clean exit. If the deadline lapses, the server side
reacts (typically by raising SignalException in the worker).