### 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)

json_normalised = normalise_json_content(self.json)
        self.run_id = self._hook.submit_run(json_normalised)
        if self.deferrable:
            _handle_deferrable_databricks_operator_execution(self, self._hook, self.log, context)
        else:
            _handle_databricks_operator_execution(self, self._hook, self.log, context)
    def on_kill(self):
        if self.run_id:
            self._hook.cancel_run(self.run_id)
            self.log.info(
                "Task: %s with run_id: %s was requested to be cancelled.", self.task_id, self.run_id
            )
        else:
            self.log.error("Error: Task: %s with invalid run_id was requested to be cancelled.", self.task_id)
    def execute_complete(self, context: dict | None, event: dict):
        _handle_deferrable_databricks_operator_completion(event, self.log)
class DatabricksSubmitRunDeferrableOperator(DatabricksSubmitRunOperator):
    """Deferrable version of ``DatabricksSubmitRunOperator``."""
    def __init__(self, *args, **kwargs):
        warnings.warn(
            "`DatabricksSubmitRunDeferrableOperator` has been deprecated. "
            "Please use `airflow.providers.databricks.operators.DatabricksSubmitRunOperator` with "
            "`deferrable=True` instead.",
            AirflowProviderDeprecationWarning,
            stacklevel=2,
        )
        super().__init__(deferrable=True, *args, **kwargs)
    def execute(self, context):