### Apache Airflow version

2.3.4

### What happened

The [await_container_completion](
https://github.com/apache/airflow/blob/2.4.0/airflow/providers/cncf/kubernetes/utils/pod_manager.py#L259) function has a negated condition

```
while not self.container_is_running(pod=pod, container_name=container_name):
```
that causes our Airflow tasks running <1 s to never be completed, causing an infinite loop. 

I see this was addressed and released in https://github.com/apache/airflow/pull/23883, but later reverted in https://github.com/apache/airflow/pull/24474. How come it was reverted? The thread on that revert PR with comments from @jedcunningham and @potiuk didn't really address why the fix was reverted.

### What you think should happen instead

Pods finishing within 1s should be properly handled.

### How to reproduce

_No response_

### Operating System

Linux

### Versions of Apache Airflow Providers

apache-airflow-providers-cncf-kubernetes==4.3.0

### Deployment

Other 3rd-party Helm chart

### 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)

from airflow.providers.cncf.kubernetes.hooks.kubernetes import KubernetesHook
from airflow.providers.cncf.kubernetes.operators.kubernetes_pod import KubernetesPodOperator
from airflow.providers.cncf.kubernetes.utils.pod_manager import PodManager
from airflow.utils import timezone
from airflow.utils.context import Context
from airflow.utils.types import DagRunType
from airflow.version import version as airflow_version
HOOK_CLASS = "airflow.providers.cncf.kubernetes.operators.kubernetes_pod.KubernetesHook"
POD_MANAGER_CLASS = "airflow.providers.cncf.kubernetes.utils.pod_manager.PodManager"
def create_context(task) -> Context:
    dag = DAG(dag_id="dag")
    tzinfo = pendulum.tz.timezone("Europe/Amsterdam")
    execution_date = timezone.datetime(2016, 1, 1, 1, 0, 0, tzinfo=tzinfo)
    dag_run = DagRun(
        dag_id=dag.dag_id,
        execution_date=execution_date,
        run_id=DagRun.generate_run_id(DagRunType.MANUAL, execution_date),
    )
    task_instance = TaskInstance(task=task)
    task_instance.dag_run = dag_run
    task_instance.dag_id = dag.dag_id
    task_instance.xcom_push = mock.Mock()  
    return Context(
        dag=dag,
        run_id=dag_run.run_id,
        task=task,
        ti=task_instance,
        task_instance=task_instance,
    )
def get_kubeconfig_path():