# tensorplay.distributed.elastic.timer API

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

## Functions 2

[#](#api-tensorplay.distributed.elastic.timer.configure)

### configure

function[Full reference ↗](/docs/generated/tensorplay.distributed.elastic.timer.configure.html)

```python
tensorplay.distributed.elastic.timer.configure(timer_client: TimerClient) → None
```

Set the process-wide default [TimerClient](/docs/generated/tensorplay.distributed.elastic.timer.TimerClient.html#tensorplay.distributed.elastic.timer.TimerClient).

[#](#api-tensorplay.distributed.elastic.timer.expires)

### expires

function[Full reference ↗](/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).

## Classes 2

[#](#api-tensorplay.distributed.elastic.timer.TimerClient)

### TimerClient

class[Full reference ↗](/docs/generated/tensorplay.distributed.elastic.timer.TimerClient.html)

```python
class tensorplay.distributed.elastic.timer.TimerClient
```

Client side of the timer contract.

[#](#api-tensorplay.distributed.elastic.timer.TimerServer)

### TimerServer

class[Full reference ↗](/docs/generated/tensorplay.distributed.elastic.timer.TimerServer.html)

```python
class tensorplay.distributed.elastic.timer.TimerServer(request_queue: RequestQueue, max_interval: float, daemon: bool = True)
```

Watches outstanding deadlines and reacts when they expire.