### Apache Airflow version

2.5.1

### What happened

Context: I am attempting to use [TypedDict](https://docs.python.org/3/library/typing.html#typing.TypedDict) objects to maintain the keys used in DAG params in a single place, and check for key names across multiple DAGs that use the params.
This raises an error with `mypy` as `params` expects an `Optional[Dict]`. Due to the invariance of `Dict`, this does not accept `TypedDict` objects.

What happened: I passed a `TypedDict` to the `params` arg of `DAG` and got a TypeError.

### What you think should happen instead

`TypedDict` objects should be accepted by `DAG`, which should accept `Optional[Mapping[str, Any]]`. 

Unless I'm mistaken, `params` are converted to a `ParamsDict` class and therefore the appropriate type hint is a generic `Mapping` type.

### How to reproduce

Steps to reproduce

```Python
from typing import TypedDict

from airflow import DAG
from airflow.models import Param

class ParamsTypedDict(TypedDict):
    str_param: Param

params: ParamsTypedDict = {
    "str_param": Param("", type="str")
}

with DAG(
    dag_id="mypy-error-dag",
    # The line below raises a mypy error
    # Argument "params" to "DAG" has incompatible type "ParamsTypedDict"; expected "Optional[Dict[Any, Any]]"  [arg-type]
    params=params,  
) as dag:
    pass
```

### Operating System

Amazon Linux

### Versions of Apache Airflow Providers

_No response_

### Deployment

Docker-Compose

### Deployment details

_No response_

### Anything else

_No response_

### Are you willing to submit PR?

- [X] 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)

partial_kwargs.setdefault("task_id", task_id)
    partial_kwargs.setdefault("start_date", start_date)
    partial_kwargs.setdefault("end_date", end_date)
    partial_kwargs.setdefault("owner", owner)
    partial_kwargs.setdefault("email", email)
    partial_kwargs.setdefault("trigger_rule", trigger_rule)
    partial_kwargs.setdefault("depends_on_past", depends_on_past)
    partial_kwargs.setdefault("ignore_first_depends_on_past", ignore_first_depends_on_past)
    partial_kwargs.setdefault("wait_for_past_depends_before_skipping", wait_for_past_depends_before_skipping)
    partial_kwargs.setdefault("wait_for_downstream", wait_for_downstream)
    partial_kwargs.setdefault("retries", retries)
    partial_kwargs.setdefault("queue", queue)
    partial_kwargs.setdefault("pool", pool)
    partial_kwargs.setdefault("pool_slots", pool_slots)
    partial_kwargs.setdefault("execution_timeout", execution_timeout)
    partial_kwargs.setdefault("max_retry_delay", max_retry_delay)
    partial_kwargs.setdefault("retry_delay", retry_delay)
    partial_kwargs.setdefault("retry_exponential_backoff", retry_exponential_backoff)
    partial_kwargs.setdefault("priority_weight", priority_weight)
    partial_kwargs.setdefault("weight_rule", weight_rule)
    partial_kwargs.setdefault("sla", sla)
    partial_kwargs.setdefault("max_active_tis_per_dag", max_active_tis_per_dag)
    partial_kwargs.setdefault("on_execute_callback", on_execute_callback)
    partial_kwargs.setdefault("on_failure_callback", on_failure_callback)
    partial_kwargs.setdefault("on_retry_callback", on_retry_callback)
    partial_kwargs.setdefault("on_success_callback", on_success_callback)
    partial_kwargs.setdefault("run_as_user", run_as_user)
    partial_kwargs.setdefault("executor_config", executor_config)
    partial_kwargs.setdefault("inlets", inlets or [])
    partial_kwargs.setdefault("outlets", outlets or [])