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Description
Pandas version checks
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I have checked that this issue has not already been reported. 
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I have confirmed this bug exists on the latest version of pandas. 
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I have confirmed this bug exists on the main branch of pandas. 
Reproducible Example
import pandas as pd
td = pd.to_timedelta(1, unit='t')  # success
td = pd.to_timedelta(1, unit='T')  # runs ok but fails type-checking in IDEIssue Description
The specification of the unit parameter for to_timedelta() in https://github.com/pandas-dev/pandas/tree/v2.0.0/pandas/core/tools/timedeltas.py is as follows:
unit: UnitChoices | None = None
The documentation for to_timedelta() (and the comment in the code) allows for (among others):
‘m’ / ‘minute’ / ‘min’ / ‘minutes’ / ‘T’
The allowed values in UnitChoices (https://github.com/pandas-dev/pandas/tree/main/pandas/_libs/tslibs/timedeltas.pyi) include 't', but not 'T'.
Expected Behavior
It seems to me that it is usual to allow upper case 'T' as a specifier for minute, but others may know better.
Either 'T' should be allowed in UnitChoices, or the to_timedelta() documentation should be updated to specify lower case 't'
Installed Versions
INSTALLED VERSIONS
commit           : 478d340
python           : 3.9.6.final.0
python-bits      : 64
OS               : Darwin
OS-release       : 22.4.0
Version          : Darwin Kernel Version 22.4.0: Mon Mar  6 21:00:17 PST 2023; root:xnu-8796.101.5~3/RELEASE_X86_64
machine          : x86_64
processor        : i386
byteorder        : little
LC_ALL           : None
LANG             : None
LOCALE           : en_GB.UTF-8
pandas           : 2.0.0
numpy            : 1.24.2
pytz             : 2023.3
dateutil         : 2.8.2
setuptools       : 65.5.1
pip              : 22.3.1
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
matplotlib       : 3.7.1
numba            : None
numexpr          : None
odfpy            : None
openpyxl         : None
pandas_gbq       : None
pyarrow          : None
pyreadstat       : None
pyxlsb           : None
s3fs             : None
scipy            : 1.10.1
snappy           : None
sqlalchemy       : 1.4.47
tables           : None
tabulate         : None
xarray           : None
xlrd             : None
zstandard        : None
tzdata           : 2023.3
qtpy             : None
pyqt5            : None