### 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)

self.json["libraries"] = libraries
        if run_name is not None:
            self.json["run_name"] = run_name
        if timeout_seconds is not None:
            self.json["timeout_seconds"] = timeout_seconds
        if "run_name" not in self.json:
            self.json["run_name"] = run_name or kwargs["task_id"]
        if idempotency_token is not None:
            self.json["idempotency_token"] = idempotency_token
        if access_control_list is not None:
            self.json["access_control_list"] = access_control_list
        if git_source is not None:
            self.json["git_source"] = git_source
        if "dbt_task" in self.json and "git_source" not in self.json:
            raise AirflowException("git_source is required for dbt_task")
        
        self.run_id: int | None = None
        self.do_xcom_push = do_xcom_push
    @cached_property
    def _hook(self):
        return self._get_hook(caller="DatabricksSubmitRunOperator")
    def _get_hook(self, caller: str) -> DatabricksHook:
        return DatabricksHook(
            self.databricks_conn_id,
            retry_limit=self.databricks_retry_limit,
            retry_delay=self.databricks_retry_delay,
            retry_args=self.databricks_retry_args,
            caller=caller,
        )
    def execute(self, context: Context):