BUG: TimedeltaIndex.__rfloordiv__ triggers ZeroDivisionError when other is a list but works for scalar

[twoertwein]

Pandas version checks

• I have checked that this issue has not already been reported.

• I have confirmed this bug exists on the latest version of pandas.

• I have confirmed this bug exists on the main branch of pandas.

Reproducible Example

import pandas as pd 
import datetime

index = pd.Index([pd.Timedelta(1)], dtype="timedelta64[s]")
delta = datetime.timedelta(1)

# floordiv
index // delta # works, 0 (dtype: int64)
index // [delta] # works, 0 (dtype: object!)
delta // index # works, 0 (dtype (int64))
[delta] // index # ZeroDivisionError

# truediv
index / delta # works, 0.0 (dtype: float64)
index / [delta] # works, 0.0 (dtype: object!)
delta / index # works, inf! (dtype: float64)
[delta] / index # ZeroDivisionError

Issue Description

I would expect the same behavior in the above two examples.

edit: and the dtype and the result should be the same (see object and inf)

Expected Behavior

Scalar works, but it raises with the same scalar in a list.

xref pandas-dev/pandas-stubs#764

Installed Versions

/var/home/twoertwein/.cache/pypoetry/virtualenvs/pandas-stubs-DrIM1v70-py3.11/lib/python3.11/site-packages/_distutils_hack/__init__.py:33: UserWarning: Setuptools is replacing distutils. warnings.warn("Setuptools is replacing distutils.")

INSTALLED VERSIONS

commit : 0f43794
python : 3.11.4.final.0
python-bits : 64
OS : Linux
OS-release : 6.4.7-200.fc38.x86_64
Version : #1 SMP PREEMPT_DYNAMIC Thu Jul 27 20:01:18 UTC 2023
machine : x86_64
processor :
byteorder : little
LC_ALL : None
LANG : en_US.UTF-8
LOCALE : en_US.UTF-8

pandas : 2.0.3
numpy : 1.25.2
pytz : 2023.3
dateutil : 2.8.2
setuptools : 68.0.0
pip : 23.0.1
Cython : 3.0.0
pytest : 7.4.0
hypothesis : None
sphinx : None
blosc : None
feather : None
xlsxwriter : 3.1.2
lxml.etree : 4.9.3
html5lib : None
pymysql : None
psycopg2 : None
jinja2 : 3.1.2
IPython : None
pandas_datareader: None
bs4 : None
bottleneck : None
brotli : None
fastparquet : None
fsspec : 2023.6.0
gcsfs : None
matplotlib : 3.7.2
numba : None
numexpr : 2.8.4
odfpy : None
openpyxl : 3.1.2
pandas_gbq : None
pyarrow : 12.0.1
pyreadstat : 1.2.2
pyxlsb : 1.0.10
s3fs : None
scipy : 1.9.3
snappy : None
sqlalchemy : 2.0.19
tables : 3.8.0
tabulate : 0.9.0
xarray : 2023.1.0
xlrd : 2.0.1
zstandard : None
tzdata : 2023.3
qtpy : None
pyqt5 : None