### 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)

from airflow.models.xcom import XCom
from airflow.operators.empty import EmptyOperator
from airflow.sensors.base import BaseSensorOperator, PokeReturnValue, poke_mode_only
from airflow.ti_deps.deps.ready_to_reschedule import ReadyToRescheduleDep
from airflow.utils import timezone
from airflow.utils.context import Context
from airflow.utils.state import State
from airflow.utils.timezone import datetime
from tests.test_utils import db
DEFAULT_DATE = datetime(2015, 1, 1)
TEST_DAG_ID = "unit_test_dag"
DUMMY_OP = "dummy_op"
SENSOR_OP = "sensor_op"
DEV_NULL = "dev/null"
class DummySensor(BaseSensorOperator):
    def __init__(self, return_value=False, **kwargs):
        super().__init__(**kwargs)
        self.return_value = return_value
    def poke(self, context: Context):
        return self.return_value
class DummySensorWithXcomValue(BaseSensorOperator):
    def __init__(self, return_value=False, xcom_value=None, **kwargs):
        super().__init__(**kwargs)
        self.xcom_value = xcom_value
        self.return_value = return_value
    def poke(self, context: Context):
        return PokeReturnValue(self.return_value, self.xcom_value)
class TestBaseSensor:
    @staticmethod
    def clean_db():