### Apache Airflow version

main (development)

### What happened

Task failing with error "missing upstream values" when running a dag with dynamic task group mapping
error -
```
[2022-11-23, 15:50:07 UTC] {abstractoperator.py:456} ERROR - Cannot expand <Task(_PythonDecoratedOperator): increment_and_verify.hello_there> for run manual__2022-11-23T15:49:59.771915+00:00; missing upstream values: ['x']
```

### What you think should happen instead

It should succeed 

### How to reproduce

Run the below dag code 
```
from airflow import DAG
from airflow.models.taskinstance import TaskInstance
from airflow.operators.dummy import DummyOperator
from datetime import datetime, timedelta
from airflow.decorators import task, task_group
with DAG(
    dag_id="taskmap_taskgroup",
    tags=["AIP_42"],
    start_date=datetime(1970, 1, 1),
    schedule_interval=None,
) as dag:

    @task
    def onetwothree():
        return [1,2,3]

    @task
    def hello_there(arg):
        print(arg)

    @task_group
    def increment_and_verify(x):
        hello_there(x)

    increment_and_verify.expand(x=onetwothree())>>DummyOperator(task_id="done")
```

### Operating System

mac os

### Versions of Apache Airflow Providers

_No response_

### Deployment

Virtualenv installation

### 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)

"""A mapped task group.
    This doesn't really do anything special, just holds some additional metadata
    for expansion later.
    Don't instantiate this class directly; call *expand* or *expand_kwargs* on
    a ``@task_group`` function instead.
    """
    def __init__(self, *, expand_input: ExpandInput, **kwargs: Any) -> None:
        super().__init__(**kwargs)
        self._expand_input = expand_input
    @cache
    def get_parse_time_mapped_ti_count(self) -> int:
        """Number of instances a task in this group should be mapped to, when a DAG run is created.
        This only considers literal mapped arguments, and would return *None*
        when any non-literal values are used for mapping.
        If this group is inside mapped task groups, all the nested counts are
        multiplied and accounted.
        :meta private:
        :raise NotFullyPopulated: If any non-literal mapped arguments are encountered.
        :return: The total number of mapped instances each task should have.
        """
        return functools.reduce(
            operator.mul,
            (g._expand_input.get_parse_time_mapped_ti_count() for g in self.iter_mapped_task_groups()),
        )
    def get_mapped_ti_count(self, run_id: str, *, session: Session) -> int: