### 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)

db.clear_db_runs()
        db.clear_db_task_reschedule()
        db.clear_db_xcom()
    @pytest.fixture(autouse=True)
    def _auto_clean(self, dag_maker):
        """(auto use)"""
        self.clean_db()
        yield
        self.clean_db()
    @pytest.fixture
    def make_sensor(self, dag_maker):
        """Create a DummySensor and associated DagRun"""
        def _make_sensor(return_value, task_id=SENSOR_OP, **kwargs):
            poke_interval = "poke_interval"
            timeout = "timeout"
            if poke_interval not in kwargs:
                kwargs[poke_interval] = 0
            if timeout not in kwargs:
                kwargs[timeout] = 0
            with dag_maker(TEST_DAG_ID):
                if "xcom_value" in kwargs:
                    sensor = DummySensorWithXcomValue(task_id=task_id, return_value=return_value, **kwargs)
                else:
                    sensor = DummySensor(task_id=task_id, return_value=return_value, **kwargs)
                dummy_op = EmptyOperator(task_id=DUMMY_OP)
                sensor >> dummy_op
            return sensor, dag_maker.create_dagrun()
        return _make_sensor
    @classmethod
    def _run(cls, task, **kwargs):