### 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._run(sensor)
        assert_ti_state(2, 2, State.FAILED)
        
        sensor.clear()
        time_machine.coordinates.shift(20)
        for _ in range(3):
            time_machine.coordinates.shift(sensor.poke_interval)
            self._run(sensor)
            assert_ti_state(2, 3, State.UP_FOR_RESCHEDULE)
        
        time_machine.coordinates.shift(sensor.poke_interval)
        with pytest.raises(AirflowSensorTimeout):
            self._run(sensor)
        assert_ti_state(3, 3, State.FAILED)
    def test_sensor_with_xcom(self, make_sensor):
        xcom_value = "TestValue"
        sensor, dr = make_sensor(True, xcom_value=xcom_value)
        self._run(sensor)
        tis = dr.get_task_instances()
        assert len(tis) == 2
        for ti in tis:
            if ti.task_id == SENSOR_OP:
                assert ti.state == State.SUCCESS
            if ti.task_id == DUMMY_OP:
                assert ti.state == State.NONE
        actual_xcom_value = XCom.get_one(
            key="return_value", task_id=SENSOR_OP, dag_id=dr.dag_id, run_id=dr.run_id
        )
        assert actual_xcom_value == xcom_value
    def test_sensor_with_xcom_fails(self, make_sensor):