Pandas version checks

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Reproducible Example

import pandas as pd

df = pd.DataFrame({"A": [1, 2, 3], "B": [4, 5, 6]})
df.attrs.update(name="dummy", foo="bar") # type error here

Issue Description

ty 0.0.1-alpha.18 (d697cc092 2025-08-14) raises a type error:

Argument to bound method update is incorrect: Expected Mapping[str, Any], found dict[Hashable, Any]tyinvalid-argument-type

Expected Behavior

changing to

- df.attrs.update(name="dummy", foo="bar")
+ df.attrs.update({"name": "dummy", "foo": "bar"})

resolves the type error. both work at run time and i'd expect both to type check fine

Installed Versions

INSTALLED VERSIONS ------------------ commit : c888af6d0bb674932007623c0867e1fbd4bdc2c6 python : 3.13.0 python-bits : 64 OS : Darwin OS-release : 24.6.0 Version : Darwin Kernel Version 24.6.0: Mon Jul 14 11:30:40 PDT 2025; root:xnu-11417.140.69~1/RELEASE_ARM64_T6041 machine : arm64 processor : arm byteorder : little LC_ALL : None LANG : en_US.UTF-8 LOCALE : en_US.UTF-8 pandas : 2.3.1 numpy : 2.3.2 pytz : 2025.2 dateutil : 2.9.0.post0 pip : 25.2 Cython : 3.0.12 sphinx : 8.1.3 IPython : 9.4.0 adbc-driver-postgresql: None adbc-driver-sqlite : None bs4 : 4.13.3 blosc : None bottleneck : None dataframe-api-compat : None fastparquet : None fsspec : 2025.5.1 html5lib : 1.1 hypothesis : None gcsfs : None jinja2 : 3.1.6 lxml.etree : 6.0.0 matplotlib : 3.10.5 numba : None numexpr : 2.10.2 odfpy : None openpyxl : 3.1.5 pandas_gbq : None psycopg2 : 2.9.10 pymysql : 1.4.6 pyarrow : 19.0.1 pyreadstat : None pytest : 8.4.0 python-calamine : None pyxlsb : None s3fs : None scipy : 1.16.1 sqlalchemy : None tables : 3.10.2 tabulate : 0.9.0 xarray : None xlrd : None xlsxwriter : None zstandard : 0.24.0 tzdata : 2025.2 qtpy : None pyqt5 : None

Comment From: rhshadrach

ty is in alpha and raises many false positives. Do you experience the same with other type checkers? If so report back and we can reconsider. Closing for now.