### 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.databricks_retry_delay = databricks_retry_delay
        self.databricks_retry_args = databricks_retry_args
        self.wait_for_termination = wait_for_termination
        self.deferrable = deferrable
        if job_id is not None:
            self.json["job_id"] = job_id
        if job_name is not None:
            self.json["job_name"] = job_name
        if "job_id" in self.json and "job_name" in self.json:
            raise AirflowException("Argument 'job_name' is not allowed with argument 'job_id'")
        if notebook_params is not None:
            self.json["notebook_params"] = notebook_params
        if python_params is not None:
            self.json["python_params"] = python_params
        if python_named_params is not None:
            self.json["python_named_params"] = python_named_params
        if jar_params is not None:
            self.json["jar_params"] = jar_params
        if spark_submit_params is not None:
            self.json["spark_submit_params"] = spark_submit_params
        if idempotency_token is not None:
            self.json["idempotency_token"] = idempotency_token
        self.json = normalise_json_content(self.json)
        
        self.run_id: int | None = None
        self.do_xcom_push = do_xcom_push
    @cached_property
    def _hook(self):
        return self._get_hook(caller="DatabricksRunNowOperator")
    def _get_hook(self, caller: str) -> DatabricksHook: