### Apache Airflow version

2.6.1

### What happened

Sensor is fired with an exception ZeroDivisionError, if set up `mode="reschedule"`, `exponential_backoff=True` and `poke_interval=1` 

```
ERROR - Task failed with exception
Traceback (most recent call last):
  File "/home/airflow/.local/lib/python3.9/site-packages/airflow/sensors/base.py", line 244, in execute
    next_poke_interval = self._get_next_poke_interval(started_at, run_duration, try_number)
  File "/home/airflow/.local/lib/python3.9/site-packages/airflow/sensors/base.py", line 274, in _get_next_poke_interval
    modded_hash = min_backoff + run_hash % min_backoff
ZeroDivisionError: integer division or modulo by zero
```

### What you think should happen instead

Throw an human-readable exception about corner values for `poke_interval` or allow to set up this value less then 2 (if it's `>=` 2 - rescheduling works fine.)

### How to reproduce

```
from airflow.sensors.base import BaseSensorOperator
from airflow import DAG
import datetime

class TestSensor(BaseSensorOperator):
    def poke(self, context):
        return False

with DAG("test_dag", start_date=datetime.datetime.today(), schedule=None):
    sensor = TestSensor(task_id="sensor", mode="reschedule", poke_interval=1, exponential_backoff=True, max_wait=5)
```

### Operating System

Debian GNU/Linux 10 (buster)

### 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)

self,
        started_at: datetime.datetime | float,
        run_duration: Callable[[], float],
        try_number: int,
    ) -> float:
        """Using the similar logic which is used for exponential backoff retry delay for operators."""
        if not self.exponential_backoff:
            return self.poke_interval
        min_backoff = int(self.poke_interval * (2 ** (try_number - 2)))
        run_hash = int(
            hashlib.sha1(f"{self.dag_id}#{self.task_id}#{started_at}#{try_number}".encode()).hexdigest(),
            16,
        )
        modded_hash = min_backoff + run_hash % min_backoff
        delay_backoff_in_seconds = min(modded_hash, timedelta.max.total_seconds() - 1)
        new_interval = min(self.timeout - int(run_duration()), delay_backoff_in_seconds)
        if self.max_wait:
            new_interval = min(self.max_wait.total_seconds(), new_interval)
        self.log.info("new %s interval is %s", self.mode, new_interval)
        return new_interval
    def prepare_for_execution(self) -> BaseOperator: