> ## Documentation Index
> Fetch the complete documentation index at: https://docs.wandb.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# How do I launch multiple runs from one script?

To log multiple runs within a single script, you must finish each previous run
before you start a new one. The following sections describe two patterns for
sequencing runs in one script and a separate pattern for keeping multiple runs
active at the same time.

## Use a context manager

Use `wandb.init()` as a context manager. This pattern finishes the run and
marks it as failed if your script raises an exception:

```python theme={null}
import wandb

for x in range(10):
    with wandb.init() as run:
        for y in range(100):
            run.log({"metric": x + y})
```

## Call run.finish explicitly

You can also call `run.finish()` explicitly:

```python theme={null}
import wandb

for x in range(10):
    run = wandb.init()

    try:
        for y in range(100):
            run.log({"metric": x + y})

    except Exception:
        run.finish(exit_code=1)
        raise

    finally:
        run.finish()
```

## Multiple active runs

In `wandb` 0.19.10 and later, if you need more than one run active at the same
time rather than running them sequentially, set the `reinit` setting to
`"create_new"` to create multiple simultaneously active runs.

```python theme={null}
import wandb

with wandb.init(reinit="create_new") as tracking_run:
    for x in range(10):
        with wandb.init(reinit="create_new") as run:
            for y in range(100):
                run.log({"x_plus_y": x + y})

            tracking_run.log({"x": x})
```

For more information about `reinit="create_new"`, including caveats about W\&B
integrations, see [Multiple runs per process](/models/runs/initialize-run).

***

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