BUG: `pd.infer_freq()` does not raise an error when called with a `RangeIndex`

[YasenPetrov]

Actual behaviour

Given a RangeIndex, the function returns 'N', indicating a nanosecond frequency. The function doc clearly states that a DatetimeIndex or TimedeltaIndex is required as an argument

>> import pandas as pd
>> pd.infer_freq((pd.RangeIndex(1, 10, 1)))
'N'

Expected behavior

A TypeError should be raised, probably.

Possible fix

I believe the issue is in [this code block(https://github.com/pandas-dev/pandas/blob/v1.4.4/pandas/tseries/frequencies.py#L193) -> If we have an non-datetime index, we only raise an error if it's a Int64Index or a Float64Index

Output of pd.show_versions()

Here

INSTALLED VERSIONS
------------------
commit           : ca60aab7340d9989d9428e11a51467658190bb6b
python           : 3.8.10.final.0
python-bits      : 64
OS               : Linux
OS-release       : 5.4.0-125-generic
Version          : #141-Ubuntu SMP Wed Aug 10 13:42:03 UTC 2022
machine          : x86_64
processor        : x86_64
byteorder        : little
LC_ALL           : None
LANG             : en_US.UTF-8
LOCALE           : en_US.UTF-8

pandas           : 1.4.4
numpy            : 1.23.2
pytz             : 2022.2.1
dateutil         : 2.8.2
setuptools       : 44.0.0
pip              : 20.0.2
Cython           : None
pytest           : None
hypothesis       : None
sphinx           : None
blosc            : None
feather          : None
xlsxwriter       : None
lxml.etree       : None
html5lib         : None
pymysql          : None
psycopg2         : None
jinja2           : None
IPython          : None
pandas_datareader: None
bs4              : None
bottleneck       : None
brotli           : None
fastparquet      : None
fsspec           : None
gcsfs            : None
markupsafe       : None
matplotlib       : None
numba            : None
numexpr          : None
odfpy            : None
openpyxl         : None
pandas_gbq       : None
pyarrow          : None
pyreadstat       : None
pyxlsb           : None
s3fs             : None
scipy            : None
snappy           : None
sqlalchemy       : None
tables           : None
tabulate         : None
xarray           : None
xlrd             : None
xlwt             : None
zstandard        : None

[ambujpawar]

This looks easy to fix. I can perhaps take it up and solve it.

But before I get started with it as a fix we should raise a TypeError for all cases in which arguments are not of type DatetimeIndex or TimedeltaIndex, and perhaps add tests as well right?