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Description
Is your feature request related to a problem? Please describe.
I am unable to install arcgis via my work's artifactory due to hitting a HTTP error 403 error when trying to install dependency pyarrow<17,>=16. It seems the only pyarrow versions fitting that constraint is pyarrow==16.0 and pyarrow==16.1, both flagging a security vulnerability.
I believe this is the dependency list for the most recent arcgis version.
dependencies = ['pillow',
'urllib3<3,>=2.1.0',
'cachetools',
'lxml',
'cryptography',
'pandas<2.3.0,>=2.0.0',
'numpy<2,>=1.21.6',
'matplotlib',
'keyring>=23.3.0',
'pylerc',
'ujson>=3',
'truststore>=0.10.0',
'pywin32>=223; platform_system == "Windows"',
'geomet',
'requests<3,>=2.32.3',
'requests-oauthlib',
'requests_toolbelt',
'pyspnego>=0.8.0',
'dask[dataframe]<2025.1.0,>=2024.12.1',
'matplotlib-inline',
'pyarrow<17,>=16',
'puremagic<2,>=1.15',
'pydantic<3,>=2.8.2',
'networkx<4,>=3.3',
'websocket-client<2.0.0,>=1.2.3',
'dill; extra == "gp"',
'gdal<4,>=3.9.2; extra == "gdal"',
'requests-kerberos; extra == "kerberos"',
'requests-gssapi; extra == "kerberos"']Describe the solution you'd like
Could we please relax the pyarrow constraint to also include versions of pyarrow>=17?
Describe alternatives you've considered
I have tried to downgrade my arcgis version to 2.4.0 so that I use pyarrow<=15 but then other dependencies (such as pandas) are downgraded to versions released almost two years ago. Unfortunately my code at work relies on pandas>=2.2.2 which is incompatible with earlier arcgis versions.
I believe the most effective fix would be to update the dependencies so the most up-to-date packages are used by arcgis.
Additional context
This was the weakness in pyarrow==16.1 identified during our vulnerability checks: https://cwe.mitre.org/data/definitions/502.html