### 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)

except BaseHTTPError as e:
                self.log.warning(
                    "Reading of logs interrupted with error %r; will retry. "
                    "Set log level to DEBUG for traceback.",
                    e,
                )
                self.log.debug(
                    "Traceback for interrupted logs read for pod %r",
                    pod.metadata.name,
                    exc_info=True,
                )
            return timestamp or since_time
        
        
        
        last_log_time = since_time
        while True:
            last_log_time = consume_logs(since_time=last_log_time, follow=follow)
            if not self.container_is_running(pod, container_name=container_name):
                return PodLoggingStatus(running=False, last_log_time=last_log_time)
            if not follow:
                return PodLoggingStatus(running=True, last_log_time=last_log_time)
            else:
                self.log.warning(
                    "Pod %s log read interrupted but container %s still running",
                    pod.metadata.name,
                    container_name,
                )
                time.sleep(1)
    def await_container_completion(self, pod: V1Pod, container_name: str) -> None: