BUG: pd.Timedelta breaks hash invariant
### 

- [X] I have checked that this issue has not already been reported.

- [X] I have confirmed this bug exists on the [latest version](https://pandas.pydata.org/docs/whatsnew/index.html) of pandas.

- [ ] I have confirmed this bug exists on the master branch of pandas.


### Reproducible Example

```python
import pandas as pd
import numpy as np

pd_td = pd.Timedelta(0)
np_td = np.timedelta64(0)

# One of these should be true
assert (pd_td == np_td and hash(pd_td) == hash(np_td)) or pd_td != np_td
```


### Issue Description

Ref: https://bugs.python.org/issue45832

I was prompted by @rhettinger to bring this up with you.

`pd.Timedelta` and `np.timedelta64` are in violation of the python [hash invariant](https://docs.python.org/3/glossary.html#term-hashable).

Specifically:
> Hashable objects which compare equal must have the same hash value.

### Expected Behavior

```py
# Should pass
assert (pd_td == np_td and hash(pd_td) == hash(np_td)) or pd_td != np_td
```

### Installed Versions

<details>

INSTALLED VERSIONS
------------------
commit           : 945c9ed766a61c7d2c0a7cbb251b6edebf9cb7d5
python           : 3.10.0.final.0
python-bits      : 64
OS               : Darwin
OS-release       : 21.1.0
Version          : Darwin Kernel Version 21.1.0: Wed Oct 13 17:33:23 PDT 2021; root:xnu-8019.41.5~1/RELEASE_X86_64
machine          : x86_64
processor        : i386
byteorder        : little
LC_ALL           : None
LANG             : None
LOCALE           : en_US.UTF-8

pandas           : 1.3.4
numpy            : 1.21.1
pytz             : 2021.3
dateutil         : 2.8.2
pip              : 21.3.1
setuptools       : 58.3.0
Cython           : None
pytest           : None
hypothesis       : None
sphinx           : None
blosc            : None
feather          : None
xlsxwriter       : None
lxml.etree       : None
html5lib         : None
pymysql          : None
psycopg2         : None
jinja2           : 3.0.3
IPython          : 7.29.0
pandas_datareader: None
bs4              : None
bottleneck       : None
fsspec           : None
fastparquet      : None
gcsfs            : None
matplotlib       : None
numexpr          : None
odfpy            : None
openpyxl         : None
pandas_gbq       : None
pyarrow          : 6.0.0
pyxlsb           : None
s3fs             : None
scipy            : None
sqlalchemy       : None
tables           : None
tabulate         : None
xarray           : None
xlrd             : None
xlwt             : None
numba            : None

</details>
