How can I use the 'databricks/run-notebook' GitHub Action to execute a Databricks notebook as a one-time job run and return the notebook's output?
To use the 'databricks/run-notebook' GitHub Action to execute a Databricks notebook as a one-time job run and return the notebook's output, you can follow these steps:

1. Create a new GitHub Actions workflow file in your repository (for example, `.github/workflows/run_notebook.yml`).
2. In the workflow file, specify the `databricks/run-notebook` action as a step, and provide the necessary inputs:
```yaml
- name: Run Databricks notebook
  uses: databricks/run-notebook@v1
  with:
    notebook-path: /path/to/your/notebook
    databricks-host: https://<your-databricks-instance>
    databricks-token: ${{ secrets.DATABRICKS_TOKEN }}
```
In the above example, replace `/path/to/your/notebook` with the path to your Databricks notebook, and `https://<your-databricks-instance>` with the URL of your Databricks instance. The `databricks-token` input should be set to a secret containing your Databricks personal access token.

3. Optionally, you can specify additional inputs to customize the job run, such as the cluster ID, timeout, or notebook parameters:
```yaml
- name: Run Databricks notebook
  uses: databricks/run-notebook@v1
  with:
    notebook-path: /path/to/your/notebook
    databricks-host: https://<your-databricks-instance>
    databricks-token: ${{ secrets.DATABRICKS_TOKEN }}
    cluster-id: 1234-567890-example
    timeout: 600
    notebook-params: |
      key1:value1
      key2:value2
```
In the above example, the `cluster-id` input specifies the ID of the Databricks cluster to use for the job run, the `timeout` input specifies the maximum duration of the job run in seconds, and the `notebook-params` input specifies a list of key-value pairs to pass as parameters to the notebook.

4. Once you have configured the `databricks/run-notebook` action, you can commit and push the workflow file to your repository to trigger the job run. The action will execute the notebook as a one-time Databricks job run, await its completion, and return the notebook's output as the action's output.