joaofauvel opened a new issue, #1607: URL: https://github.com/apache/sedona/issues/1607
Pipfile pins numpy<2, but setup.py does not list numpy as a dependency, which may cause numpy>2 to be installed, leading to hard to debug issues in different environments, such as Databricks. Discussions [here](github.com/pypa/pipenv/issues/1263) and [docs](https://docs.pipenv.org/advanced/#pipfile-vs-setup-py) have some information as to best practices of keeping setup.py and Pipfile in sync. ## Expected behavior `pip install apache-sedona` numpy<2 installed ## Actual behavior `pip install apache-sedona` numpy>2 installed ## Steps to reproduce the problem Install pypi's apache-sedona package on a clean environment. ## Settings Sedona version = 1.6.1 Apache Spark version = NA Apache Flink version = NA API type = Python Scala version = NA JRE version = NA Python version = NA Environment = NA -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: dev-unsubscr...@sedona.apache.org.apache.org For queries about this service, please contact Infrastructure at: us...@infra.apache.org
