BUG: The var SIGNED_INT_PYARROW_DTYPES has incorrect data types

[gsheni]

Pandas version checks

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• 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 pyarrow as pa
import pandas as pd
from pandas._testing import SIGNED_INT_PYARROW_DTYPES, UNSIGNED_INT_PYARROW_DTYPES

for pa_dtype in SIGNED_INT_PYARROW_DTYPES:
    assert pa.types.is_signed_integer(pa_dtype)

for pa_dtype in UNSIGNED_INT_PYARROW_DTYPES:
    assert pa.types.is_unsigned_integer(pa_dtype)

Issue Description

There is unsigned data types in SIGNED_INT_PYARROW_DTYPES

Expected Behavior

No unsigned data types in SIGNED_INT_PYARROW_DTYPES

Installed Versions

INSTALLED VERSIONS

commit : 224458e
python : 3.9.13.final.0
python-bits : 64
OS : Darwin
OS-release : 21.6.0
Version : Darwin Kernel Version 21.6.0: Wed Aug 10 14:28:23 PDT 2022; root:xnu-8020.141.5~2/RELEASE_ARM64_T6000
machine : arm64
processor : arm
byteorder : little
LC_ALL : None
LANG : en_US.UTF-8
LOCALE : en_US.UTF-8

pandas : 1.5.0rc0
numpy : 1.23.2
pytz : 2022.2.1
dateutil : 2.8.2
setuptools : 65.3.0
pip : 22.2.2
Cython : None
pytest : 7.1.3
hypothesis : None
sphinx : None
blosc : None
feather : None
xlsxwriter : None
lxml.etree : None
html5lib : None
pymysql : None
psycopg2 : None
jinja2 : 3.1.2
IPython : 8.5.0
pandas_datareader: None
bs4 : None
bottleneck : None
brotli : None
fastparquet : None
fsspec : 2022.8.2
gcsfs : None
matplotlib : 3.5.3
numba : None
numexpr : None
odfpy : None
openpyxl : None
pandas_gbq : None
pyarrow : 9.0.0
pyreadstat : None
pyxlsb : None
s3fs : None
scipy : 1.9.1
snappy : None
sqlalchemy : None
tables : None
tabulate : None
xarray : None
xlrd : None
xlwt : None
zstandard : None
tzdata : None

[gsheni]

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