I'm having an issue installing a new package version using pip.
Im working on my package, and recently uploaded a new version (==1.9.0), the same way I always do using twine upload. The upload was successful. When trying to install the new version, I get the following error:
>>> pip install the-spymaster-util==1.9.0
ERROR: Could not find a version that satisfies the requirement the-spymaster-util==1.9.0 (from versions: 0.1.1, 1.0.0, 1.1.0, 1.2.0, 1.2.1, 1.2.2, 1.3.0, 1.3.1, 1.4.0, 1.5.0, 1.6.0, 1.7.0, 1.7.1, 1.7.2, 1.7.3, 1.7.4, 1.7.5, 1.8.0)
ERROR: No matching distribution found for the-spymaster-util==1.9.0
as if version 1.9.0 doen't exist. The wierd thing is that it does exist in pypi index, just that for some reason my local index refuses to update according to it. Also, the newest version (==1.9.1 as im writing this question), does not appear as the "lastest" version - but 1.8.0 does. Usually the index updates within a few seconds after the upload is completed.
Am I missing something?
While there is probably some caching delay in pypi as mentiond in the comment by #Bijany, I did find my way around this (not production-ready, but good enough to keep local developemnt going):
Open your specific package version page in pypi (e.g. https://pypi.org/project/package_name/package_version)
Click on Download Files.
Copy the Source Distribution file URL (the .tar.gz file).
In the command line, run: pip install <file_url>.
Edit: it appears that there in an ongoing related incident: https://status.python.org/incidents/l16ylxktn4r9
Related
While installing all the packages, I am getting no matching version error for zope.interface package even though the version is present in the list.
ERROR: Could not find a version that satisfies the requirement zope.interface==4.6.0 (from versions: 3.3.0b1, 3.3.0b2, 3.3.0, 3.3.0.1, 3.4.0b1, 3.4.0, 3.4.1, 3.5.0, 3.5.1, 3.5.2, 3.5.3, 3.6.0, 3.6.1, 3.6.2, 3.6.3, 3.6.4, 3.6.5, 3.6.6, 3.6.7, 3.6.8, 3.7.0, 3.8.0, 4.0.0, 4.0.1, 4.0.2, 4.0.3, 4.0.4, 4.0.5, 4.1.0, 4.1.1, 4.1.2, 4.1.3, 4.2.0, 4.3.0, 4.3.1, 4.3.2, 4.3.3, 4.4.0, 4.4.1, 4.4.2, 4.4.3, 4.5.0, 4.6.0, 4.7.0, 4.7.1, 4.7.2, 5.0.0, 5.0.1, 5.0.2, 5.1.0, 5.1.1, 5.1.2, 5.2.0, 5.3.0a1, 5.3.0, 5.4.0).
ERROR: No matching distribution found for zope.interface==4.6.0
As seen above the version to-be-installed is present in the from-versions list but pip still complains and errors out.
What is going wrong here ?
I am on Python 3.9.5 with pip 21.1.1
I just resolved a similar thing. You didn't paste this as part of your error message, so we may be different, but just in case:
The causative issue for me here was related to setup tools. Specifically, in the error output, I got an error ending with ImportError: cannot import name 'Feature' from 'setuptools'.
It appears that zope.interface<5.0.0 relies on a deprecated API from setuptools, so pip throws away the matching distribution once it errors out. Pinning setuptools to version 45, or using zope.interface==5.0.0 or later, should resolve this.
See https://github.com/pypa/setuptools/issues/2017.
I'm trying to install sktime using pip. The latest version in pypi is 0.5.1, however when I install 0.4.3 gets installed. I tried installing using pip3 install sktime==0.5.1, it throws error
Could not find a version that satisfies the requirement sktime==0.5 (from versions: 0.1.dev0, 0.1.0, 0.2.0, 0.3.0, 0.4.0, 0.4.1, 0.4.2, 0.4.3)
No matching distribution found for sktime==0.5
For future users, relevant details from chat:
Ubuntu 18.0.4
pip 9.0.1
python 3.6.9
The issue here is that the pip version is too old to install any of the wheel files for 0.5.1. manylinux2010 support was added in pip 19.0, according to this issue. To fix this, just upgrade pip to a version >19.
So why does this issue only occur for version 0.5.1 and not any of the previous ones? It's because all of the previous version(for instance, 0.4.3) also provide a source distribution(the .tar.gz) which can be used to build from source as an alternative to wheels. However, this sdist was removed in 0.5.1.
Hi when I run this commands
pip install tensorflow==1.4.1
It not run and give the following error
Could not find a version that satisfies the requirement tensorflow==1.4.1 (from versions: 0.12.0rc0, 0.12.0rc1, 0.12.0, 0.12.1, 1.0.0, 1.0.1, 1.1.0rc0, 1.1.0rc1, 1.1.0rc2, 1.1.0, 1.2.0rc0, 1.2.0rc1, 1.2.0rc2, 1.2.0, 1.2.1, 1.3.0rc0, 1.3.0rc1, 1.3.0rc2, 1.3.0, 1.4.0rc0, 1.4.0rc1, 1.4.0, 1.5.0rc0, 1.5.0rc1, 1.5.0, 1.5.1, 1.6.0rc0, 1.6.0rc1, 1.6.0, 1.7.0rc0, 1.7.0rc1, 1.7.0, 1.7.1, 1.8.0rc0, 1.8.0rc1, 1.8.0, 1.9.0rc0, 1.9.0rc1, 1.9.0rc2, 1.9.0, 1.10.0rc0, 1.10.0rc1, 1.10.0)
No matching distribution found for tensorflow==1.4.1
please tell me that how I can install in cpu
This post is probably related to Tensorflow installation on Windows.
Tensorflow 1.4.1 was not built for Windows since changes introduced between 1.4.0 and 1.4.1 do not affect the behaviour of Tensorflow on Windows platform. If you want to have a compatible version of tensorflow, version 1.4.0 seems to be a logical choice.
So if running on Windows try instead
pip install tensorflow==1.4.0
This issue has been discussed on Tensorflow issue tracker as #15342.
I am looking to use best_score_ parameter from GridSearchCV function, but it looks like that is not present in the latest version of the library spark-sklearn (version 0.2.3). When I'm trying to uninstall the latest version and reinstall and older version (with version 0.2.0) with the command
pip install spark-sklearn-0.2.0
It does not work. How can I install older versions of spark-sklearn library in my cluster environments? best_score_ parameter seems to work fine in version 0.2.0.
Thanks
There is a known issue with spark-sklearn version 0.2.3 for not having best_score_ parameter in gridSearchCV. The issue can be found here at
https://github.com/databricks/spark-sklearn/issues/73
To install older version of the library, use the following command:
pip install spark-sklearn==0.2.0
My current tensorflow version is 1.2.1, and I want to upgrade it to a new version 1.3.0. I download the whl file from website and type the command in the terminal:
sudo pip install --upgrade tensorflow_gpu-1.3.0-cp27-none-linux_x86_64.whl
but it couldn't work. It gives me the following message:
Requirement already up-to-date: mock>=2.0.0 in /usr/local/lib/python2.7/dist-packages (from tensorflow-gpu==1.3.0)
Downloading/unpacking tensorflow>=1.2.0 (from tensorflow-tensorboard<0.2.0,>=0.1.0->tensorflow-gpu==1.3.0)
Could not find any downloads that satisfy the requirement tensorflow>=1.2.0 (from tensorflow-tensorboard<0.2.0,>=0.1.0->tensorflow-gpu==1.3.0)
Cleaning up...
No distributions at all found for tensorflow>=1.2.0 (from tensorflow-tensorboard<0.2.0,>=0.1.0->tensorflow-gpu==1.3.0)
Storing debug log for failure in /home/zxf/.pip/pip.log
Anyone knows what's wrong with?
I face the same problem. Just try upgrade CPU version which will upgrade all needed libraries. Then upgrade GPU version, everything works fine.