BUG: __imul__ uses __add__ instead of __mul__

[sfc-gh-joshi]

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Reproducible Example

import modin.pandas as pd
s = pd.Series([2])
s *= 3

Issue Description

The above code produces a 1-element series containing 5 instead of the expected 6, since a typo in our frontend code aliases __imul__ to __add__ instead of __mul__.

Expected Behavior

Multiply instead of adding.

Error Logs

Replace this line with the error backtrace (if applicable).

Installed Versions

INSTALLED VERSIONS

commit : f70176a
python : 3.10.13.final.0
python-bits : 64
OS : Darwin
OS-release : 23.6.0
Version : Darwin Kernel Version 23.6.0: Mon Jul 29 21:13:04 PDT 2024; root:xnu-10063.141.2~1/RELEASE_ARM64_T6020
machine : arm64
processor : arm
byteorder : little
LC_ALL : None
LANG : en_US.UTF-8
LOCALE : en_US.UTF-8

Modin dependencies

modin : 0.31.0+17.gf70176a7
ray : 2.34.0
dask : 2024.8.1
distributed : 2024.8.1

pandas dependencies

pandas : 2.2.2
numpy : 1.26.4
pytz : 2023.3.post1
dateutil : 2.8.2
setuptools : 68.0.0
pip : 23.3
Cython : None
pytest : 8.3.2
hypothesis : None
sphinx : 5.3.0
blosc : None
feather : None
xlsxwriter : None
lxml.etree : 5.3.0
html5lib : None
pymysql : None
psycopg2 : 2.9.9
jinja2 : 3.1.4
IPython : 8.17.2
pandas_datareader : None
adbc-driver-postgresql: None
adbc-driver-sqlite : None
bs4 : 4.12.2
bottleneck : None
dataframe-api-compat : None
fastparquet : 2024.5.0
fsspec : 2024.6.1
gcsfs : None
matplotlib : 3.9.2
numba : None
numexpr : 2.10.1
odfpy : None
openpyxl : 3.1.5
pandas_gbq : 0.23.1
pyarrow : 17.0.0
pyreadstat : None
python-calamine : None
pyxlsb : None
s3fs : 2024.6.1
scipy : 1.14.1
sqlalchemy : 2.0.32
tables : 3.10.1
tabulate : None
xarray : 2024.7.0
xlrd : 2.0.1
zstandard : None
tzdata : 2023.3
qtpy : None
pyqt5 : None