### Apache Airflow version

2.6.1

### What happened

The type of the libraries field in the DatabricksSubmitRunOperator is incorrect. According to the Databricks docs, the values should look more like:

```python
[
    {"pypi": {"package": "simplejson"}},
    {"pypi": {"package": "Faker"}},
]
```

as opposed to what the type hint implies:

```python
[
    {"pypi": "simplejson"},
    {"pypi":  "Faker"},
]
```

https://github.com/apache/airflow/blob/providers-databricks/4.2.0/airflow/providers/databricks/operators/databricks.py#L306

### What you think should happen instead

_No response_

### How to reproduce

n/a

### Operating System

macOS

### Versions of Apache Airflow Providers

_No response_

### Deployment

Astronomer

### Deployment details

_No response_

### Anything else

_No response_

### Are you willing to submit PR?

- [ ] Yes I am willing to submit a PR!

### Code of Conduct

- [X] I agree to follow this project's [Code of Conduct](https://github.com/apache/airflow/blob/main/CODE_OF_CONDUCT.md)

validate_trigger_event(event)
    run_state = RunState.from_json(event["run_state"])
    run_page_url = event["run_page_url"]
    log.info("View run status, Spark UI, and logs at %s", run_page_url)
    if run_state.is_successful:
        log.info("Job run completed successfully.")
        return
    else:
        error_message = f"Job run failed with terminal state: {run_state}"
        raise AirflowException(error_message)
class DatabricksJobRunLink(BaseOperatorLink):
    """Constructs a link to monitor a Databricks Job Run."""
    name = "See Databricks Job Run"
    def get_link(
        self,
        operator: BaseOperator,
        *,
        ti_key: TaskInstanceKey,
    ) -> str:
        return XCom.get_value(key=XCOM_RUN_PAGE_URL_KEY, ti_key=ti_key)
class DatabricksSubmitRunOperator(BaseOperator):