unable to build using numpy 1.20 or higher
See original GitHub issuesetup.cfg is configured with
setup_requires =
numpy>=1.16.6,<1.20
This means that qutip cannot (easily) be built when numpy 1.20 or higher is installed. The current stable release of numpy is 1.21
Can qutip be updated to run with current versions of numpy?
Issue Analytics
- State:
- Created 2 years ago
- Comments:10 (10 by maintainers)
Top Results From Across the Web
numpy >=1.20.0 doesn't support Python3.6 causing BERTopic ...
Since the latest version of BERTopic required numpy>=1.20. 0, the installation failed. It might be worth re-visiting the minimum supported ...
Read more >Failed to install Numpy 1.20.2 with Poetry on Python 3.9
When I try to install Numpy 1.20.2 module with Python Poetry 1.1.4 package manager ( poetry add numpy ) in a Python 3.9.0...
Read more >NumPy 1.20.0 Release Notes
When iterating while casting values, an error may stop the iteration earlier than before. In any case, a failed casting operation always returned...
Read more >Building from source — NumPy v1.24 Manual
If you are a MacOS or Linux user familiar with using the command line, you can continue with building NumPy locally by following...
Read more >Troubleshooting ImportError — NumPy v1.25.dev0 Manual
Importing the numpy c-extensions failed. This error can happen for different reasons, often due to issues with your setup. The error also has...
Read more >
Top Related Medium Post
No results found
Top Related StackOverflow Question
No results found
Troubleshoot Live Code
Lightrun enables developers to add logs, metrics and snapshots to live code - no restarts or redeploys required.
Start Free
Top Related Reddit Thread
No results found
Top Related Hackernoon Post
No results found
Top Related Tweet
No results found
Top Related Dev.to Post
No results found
Top Related Hashnode Post
No results found
We can set up packages dependencies easily enough. It’s already done automatically in fact. Our numpy package provides a versioned python3-numpy-abi (currently python3-numpy-abi9) and an debhelper dh_numpy3 tool which sets the versioned dependency for dependent packages at build time
Great! Thanks. 😄