BUG: wrong item assignment by repeated key with ArrowExtensionArray

[hombit]

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Reproducible Example

import pandas as pd
import pyarrow as pa

series = pd.Series([0,1,2,3,4,5], dtype=pd.ArrowDtype(pa.int64()))
series[[0, 0, 1]] = [-1, -1, -2]

pd.testing.assert_series_equal(
    series,  # [-1, -1, 2, 3, 4, 5]
    pd.Series([-1, -2, 2, 3, 4, 5], dtype=pd.ArrowDtype(pa.int64())),
)

Issue Description

With series backed by ArrowExtensionArray, assignment with a non-unique key causes incorrect results.

Expected Behavior

Assignment works like in numpy

Installed Versions

INSTALLED VERSIONS

commit : d9cdd2ee5a58015ef6f4d15c7226110c9aab8140 python : 3.12.3.final.0 python-bits : 64 OS : Darwin OS-release : 23.4.0 Version : Darwin Kernel Version 23.4.0: Fri Mar 15 00:12:49 PDT 2024; root:xnu-10063.101.17~1/RELEASE_ARM64_T6020 machine : arm64 processor : arm byteorder : little LC_ALL : en_US.UTF-8 LANG : en_US.UTF-8 LOCALE : en_US.UTF-8

pandas : 2.2.2 numpy : 1.26.4 pytz : 2024.1 dateutil : 2.9.0.post0 setuptools : None pip : 24.0 Cython : None pytest : None hypothesis : None sphinx : None blosc : None feather : None xlsxwriter : None lxml.etree : None html5lib : None pymysql : None psycopg2 : None jinja2 : None IPython : 8.23.0 pandas_datareader : None adbc-driver-postgresql: None adbc-driver-sqlite : None bs4 : None bottleneck : None dataframe-api-compat : None fastparquet : None fsspec : None gcsfs : None matplotlib : 3.8.4 numba : None numexpr : None odfpy : None openpyxl : None pandas_gbq : None pyarrow : 16.0.0 pyreadstat : None python-calamine : None pyxlsb : None s3fs : None scipy : 1.13.0 sqlalchemy : None tables : None tabulate : None xarray : None xlrd : None zstandard : None tzdata : 2024.1 qtpy : None pyqt5 : None