I have a python Codeartifact repository which has an upstream PyPI repo.
In PyPI a new version of a library (google-auth 2.3.1) was published on the 25th of October, but whenever I try to install it via Codeartifact the latest available version is 2.3.0.
Is there a way to tell Codeartifact that the upstream has newer versions? How long does it takes for Codeartifact to pick up updates in PyPI?
This is the only source I found from AWS which states that this can happen but not how to solve it: https://docs.aws.amazon.com/codeartifact/latest/ug/external-connection.html#external-connection-unavailable
Error message:
ERROR: No matching distribution found for google-authpip3 install google-auth==2.3.1
Looking in indexes: https://aws:****#packages-****.d.codeartifact.eu-central-1.amazonaws.com/pypi/common/simple/
ERROR: Could not find a version that satisfies the requirement google-auth==2.3.1 (from versions: 0.0.1, 0.1.0, 0.2.0, 0.3.0, 0.3.1, 0.3.2, 0.4.0, 0.5.0, 0.6.0, 0.7.0, 0.8.0, 0.9.0, 0.10.0, 1.0.0, 1.0.1, 1.0.2, 1.1.0, 1.1.1, 1.2.0, 1.2.1, 1.3.0, 1.4.0, 1.4.1, 1.4.2, 1.5.0, 1.5.1, 1.6.0, 1.6.1, 1.6.2, 1.6.3, 1.7.0, 1.7.1, 1.7.2, 1.8.0, 1.8.1, 1.8.2, 1.9.0, 1.10.0, 1.10.1, 1.10.2, 1.11.0, 1.11.1, 1.11.2, 1.11.3, 1.12.0, 1.13.0, 1.13.1, 1.14.0, 1.14.1, 1.14.2, 1.14.3, 1.15.0, 1.16.0, 1.16.1, 1.17.0, 1.17.1, 1.17.2, 1.18.0, 1.19.0, 1.19.1, 1.19.2, 1.20.0, 1.20.1, 1.21.0, 1.21.1, 1.21.2, 1.21.3, 1.22.0, 1.22.1, 1.23.0, 1.24.0, 1.25.0, 1.26.0, 1.26.1, 1.27.0, 1.27.1, 1.28.0, 1.28.1, 1.29.0, 1.30.0, 1.30.1, 1.30.2, 1.31.0, 1.32.0, 1.32.1, 1.33.0, 1.33.1, 1.34.0, 1.35.0, 2.0.0.dev0, 2.0.0b1, 2.0.0, 2.0.1, 2.0.2, 2.1.0, 2.2.0, 2.2.1, 2.3.0)
Solution which works for me right now:
create venv if not available python3 -m venv .venv
activate it source .venv/bin/activate
install the package given in the log-statement eg pip install google-authpip3 --no-cache
run poetry again poetry install
if more errors occur, continue with 3)
My assumption is, that the local pip/poetry cache is not up to date. So I force pip to fetch the latest versions
Related
There was a function added to one of the latest versions of Scipy. I want to use this version on a Google Colab notebook but I cannot upgrade Scipy to the version I need.
Here's what I tried based on this post and this other post:
!pip install scipy==1.8.0
ERROR: Could not find a version that satisfies the requirement scipy==1.8.0 (from versions: 0.8.0, 0.9.0, 0.10.0, 0.10.1, 0.11.0, 0.12.0, 0.12.1, 0.13.0, 0.13.1, 0.13.2, 0.13.3, 0.14.0, 0.14.1, 0.15.0, 0.15.1, 0.16.0, 0.16.1, 0.17.0, 0.17.1, 0.18.0, 0.18.1, 0.19.0, 0.19.1, 1.0.0b1, 1.0.0rc1, 1.0.0rc2, 1.0.0, 1.0.1, 1.1.0rc1, 1.1.0, 1.2.0rc1, 1.2.0rc2, 1.2.0, 1.2.1, 1.2.2, 1.2.3, 1.3.0rc1, 1.3.0rc2, 1.3.0, 1.3.1, 1.3.2, 1.3.3, 1.4.0rc1, 1.4.0rc2, 1.4.0, 1.4.1, 1.5.0rc1, 1.5.0rc2, 1.5.0, 1.5.1, 1.5.2, 1.5.3, 1.5.4, 1.6.0rc1, 1.6.0rc2, 1.6.0, 1.6.1, 1.6.2, 1.6.3, 1.7.0rc1, 1.7.0rc2, 1.7.0, 1.7.1, 1.7.2, 1.7.3)
ERROR: No matching distribution found for scipy==1.8.0
According to the scipy documentation, version 1.8.0 was released on February this year. How come I can't upgrade to version 1.8.0 on Google Colab?
I was able to upgrade to this version with a simple pip install scipy --upgrade on my local computer.
Google colab runs on Python 3.7, however SciPy 1.8.0 requires at least Python 3.8
According to https://docs.scipy.org/doc/scipy/release.1.8.0.html,
This release requires Python 3.8+ and NumPy 1.17.3 or greater.
I am trying to install the latest version of numpy, the 1.22.3, but it looks like pip is not able to find this last release.
I know I can install it locally from the source code, but I want to understand why I cannot install it using pip.
PS: I have the latest version of pip, the 22.0.4
ERROR: Could not find a version that satisfies the requirement numpy==1.22.3 (from versions: 1.3.0, 1.4.1, 1.5.0, 1.5.1, 1.6.0, 1.6.1, 1.6.2, 1.7.0, 1.7.1, 1.7.2, 1.8.0, 1.8.1, 1.8.2, 1.9.0, 1.9.1, 1.9.2, 1.9.3, 1.10.0.post2, 1.10.1, 1.10.2, 1.10.4, 1.11.0, 1.11.1, 1.11.2, 1.11.3, 1.12.0, 1.12.1, 1.13.0rc1, 1.13.0rc2, 1.13.0, 1.13.1, 1.13.3, 1.14.0rc1, 1.14.0, 1.14.1, 1.14.2, 1.14.3, 1.14.4, 1.14.5, 1.14.6, 1.15.0rc1, 1.15.0rc2, 1.15.0, 1.15.1, 1.15.2, 1.15.3, 1.15.4, 1.16.0rc1, 1.16.0rc2, 1.16.0, 1.16.1, 1.16.2, 1.16.3, 1.16.4, 1.16.5, 1.16.6, 1.17.0rc1, 1.17.0rc2, 1.17.0, 1.17.1, 1.17.2, 1.17.3, 1.17.4, 1.17.5, 1.18.0rc1, 1.18.0, 1.18.1, 1.18.2, 1.18.3, 1.18.4, 1.18.5, 1.19.0rc1, 1.19.0rc2, 1.19.0, 1.19.1, 1.19.2, 1.19.3, 1.19.4, 1.19.5, 1.20.0rc1, 1.20.0rc2, 1.20.0, 1.20.1, 1.20.2, 1.20.3, 1.21.0rc1, 1.21.0rc2, 1.21.0, 1.21.1, 1.21.2, 1.21.3, 1.21.4, 1.21.5)
ERROR: No matching distribution found for numpy==1.22.3
Please check your Python version. Support for Python 3.7 is dropped since Numpy 1.22.0 release. [source]
I just tried installing NumPy 1.22.3 using pip 22.0.4 and had no issues at all. Try using a virtual environment.
python.exe -m venv .venv
.venv\Scripts\activate.bat
pip install --upgrade pip
pip install numpy
https://docs.python.org/3/library/venv.html
Just do:
pip install numpy
It will install the latest version of numpy compatible with your python version. If this somehow that doesn't work, you can always go to the pypi webpage download the version you want from there and install it using.
pip install path_to_your_file
If your python version is not compatible (as it seems is not), you can always do a virtual environment with a newer python version using pipenv, conda, etc.
I tried to install an old version of a python package and got the Could not find a version that satisfies the requirement... error. I am confident that the package and the specified version do exist, and I have learned that this problem often occurs when the package is incompatible with the python version.
How do I find out what python version I need without installing them all and trying pip install until it works?
You can look up the package on the Python Package Index and scroll down to the "Meta" section in the left sidebar. This shows the Python version required by the package. As you do not specify the package you are looking for, I will use numpy as an example. For the current version of numpy, the following information is listed:
Requires: Python >=3.7
Therefore, you need Python 3.7 or higher to install this version of numpy.
If you are using an older version of Python and need the most recent version of the package that is compatible with that version, you can go to the release history (the second link at the top of the sidebar) and try different versions, scrolling down to the "Meta" section for every version. This is still a manual process, but less work than trying to install every single version.
Note: often, support for older versions is dropped in larger updates (so when either the first or second version number is updated), so you can skip small updates to speed up your search process.
For example, using this process, you can deduce that numpy 1.19.5 is the latest version to support Python 3.6, and numpy 1.16.6 is the latest version to support Python 2.7. At the top of the page, the command to install an older version of a package is shown, for example: pip install numpy==1.16.6.
If you want a more automated of finding this out you can trick pip into showing you. When you try to install a version of a package which doesn't exist pip provides you with a list of packages available.
pip install numpy==missing
In the response we can see all the versions
ERROR: Could not find a version that satisfies the requirement numpy==missing (from versions: 1.3.0, 1.4.1, 1.5.0, 1.5.1, 1.6.0, 1.6.1, 1.6.2, 1.7.0, 1.7.1, 1.7.2, 1.8.0, 1.8.1, 1.8.2, 1.9.0, 1.9.1, 1.9.2, 1.9.3, 1.10.0.post2, 1.10.1, 1.10.2, 1.10.4, 1.11.0, 1.11.1, 1.11.2, 1.11.3, 1.12.0, 1.12.1, 1.13.0rc1, 1.13.0rc2, 1.13.0, 1.13.1, 1.13.3, 1.14.0rc1, 1.14.0, 1.14.1, 1.14.2, 1.14.3, 1.14.4, 1.14.5, 1.14.6, 1.15.0rc1, 1.15.0rc2, 1.15.0, 1.15.1, 1.15.2, 1.15.3, 1.15.4, 1.16.0rc1, 1.16.0rc2, 1.16.0, 1.16.1, 1.16.2, 1.16.3, 1.16.4, 1.16.5, 1.16.6, 1.17.0rc1, 1.17.0rc2, 1.17.0, 1.17.1, 1.17.2, 1.17.3, 1.17.4, 1.17.5, 1.18.0rc1, 1.18.0, 1.18.1, 1.18.2, 1.18.3, 1.18.4, 1.18.5, 1.19.0rc1, 1.19.0rc2, 1.19.0, 1.19.1, 1.19.2, 1.19.3, 1.19.4, 1.19.5, 1.20.0rc1, 1.20.0rc2, 1.20.0, 1.20.1, 1.20.2, 1.20.3, 1.21.0rc1, 1.21.0rc2, 1.21.0, 1.21.1, 1.21.2, 1.21.3, 1.21.4, 1.21.5, 1.21.6, 1.22.0rc1, 1.22.0rc2, 1.22.0rc3, 1.22.0, 1.22.1, 1.22.2, 1.22.3, 1.22.4, 1.23.0rc1, 1.23.0rc2, 1.23.0rc3, 1.23.0, 1.23.1, 1.23.2, 1.23.3, 1.23.4)
ERROR: No matching distribution found for numpy==missing
If you want to test availability for a version of python which you are not running (in my case version 2.4) then you need to do the following.
pip install --python-version 24 --no-deps --target test-pkg numpy==missing
Note the options --no-deps --target are required for us to run --python-version
ERROR: Could not find a version that satisfies the requirement numpy==missing (from versions: 1.3.0, 1.4.1, 1.5.0, 1.5.1, 1.6.0, 1.6.1, 1.6.2, 1.7.0, 1.7.1, 1.7.2, 1.8.0, 1.8.1, 1.8.2, 1.9.0, 1.9.1, 1.9.2, 1.9.3, 1.10.0.post2, 1.10.1, 1.10.2, 1.10.4, 1.11.0, 1.11.1, 1.11.2, 1.11.3, 1.12.0, 1.12.1)
ERROR: No matching distribution found for numpy==missing
Tested on python version 3.5, pip==20.2.3
Combining this answer and that answer led me to a working solution with Python 3.10.8 (and pip>=2.22):
python -m pip install numpy== --dry-run --python-version 2.4 --no-deps --target foo
Output:
ERROR: Could not find a version that satisfies the requirement numpy== (from versions: 1.3.0, 1.4.1, 1.5.0, 1.5.1, 1.6.0, 1.6.1, 1.6.2, 1.7.0, 1.7.1, 1.7.2, 1.8.0, 1.8.1, 1.8.2, 1.9.0, 1.9.1, 1.9.2, 1.9.3, 1.10.0.post2, 1.10.1, 1.10.2, 1.10.4, 1.11.0, 1.11.1, 1.11.2, 1.11.3, 1.12.0, 1.12.1)
ERROR: No matching distribution found for numpy==
Note that if you are only looking for the latest version (not the whole list) of a package compatible with a given Python version you can also run:
python -m pip install numpy --dry-run --python-version 2.4 --no-deps --target foo
Output:
Collecting numpy
Downloading numpy-1.12.1.zip (4.8 MB)
---------------------------------------- 4.8/4.8 MB 3.6 MB/s eta 0:00:00
Preparing metadata (setup.py) ... done
Would install numpy-1.12.1
The most simpler approach I found for this problem was,
https://pyreadiness.org/3.9
This website gives you the list of packages both supported and not supported by python 3.9 version
If the package is in green then its supported and if its in white then not supported.
Search the page using Control + F.
if you want to check for any other version just change the URL to that specific python version,
e.g. Looking for python 3.8 then the URL will be
https://pyreadiness.org/3.8
This might not be the best approach but for someone looking for just whether a package is supported by a given python version its the easiest approach!
My project needs tensorflow==1.11.0
But when I tried to install it, I got:
pip install tensorflow-gpu==1.11.0
Looking in indexes: http://mirrors.aliyun.com/pypi/simple
ERROR: Could not find a version that satisfies the requirement tensorflow-gpu==1.11.0 (from versions: 1.13.1, 1.13.2, 1.14.0, 1.15.0rc0, 1.15.0rc1, 1.15.0rc2, 1.15.0rc3, 1.15.0, 1.15.2, 1.15.3, 2.0.0a0, 2.0.0b0, 2.0.0b1, 2.0.0rc0, 2.0.0rc1, 2.0.0rc2, 2.0.0, 2.0.1, 2.0.2, 2.1.0rc0, 2.1.0rc1, 2.1.0rc2, 2.1.0, 2.1.1, 2.2.0rc0, 2.2.0rc1, 2.2.0rc2, 2.2.0rc3, 2.2.0rc4, 2.2.0)
ERROR: No matching distribution found for tensorflow-gpu==1.11.0
Plus, I am using py3.7.
Some python versions are incompatible with some versions of Tensorflow. If you very specifically need Tensorflow 1.11.0 then you can probably install it in a Python 3.6 environment.
If you very specifically need Python 3.7, you can probably install Tensorflow 1.13.1 or later.
How to install openpyxl==2.2.0b1 this version,
I tried, pip install openpyxl==2.2.0b1
It throws,
Could not find a version that satisfies the requirement openpyxl==2.2.0b1 (from versions: 1.1.0, 1.1.4, 1.1.5, 1.1.6, 1.1.7, 1.2.3, 1.5.0, 1.5.1, 1.5.2, 1.5.3, 1.5.4, 1.5.5, 1.5.6, 1.5.7, 1.5.8, 1.6.1, 1.6.2, 1.7.0, 1.8.0, 1.8.1, 1.8.2, 1.8.3, 1.8.4, 1.8.5, 1.8.6, 2.0.2, 2.0.3, 2.0.4, 2.0.5, 2.1.0, 2.1.1, 2.1.2, 2.1.3, 2.1.4, 2.1.5, 2.2.0, 2.2.1, 2.2.2, 2.2.3, 2.2.4, 2.2.5, 2.2.6, 2.3.0, 2.3.1, 2.3.2, 2.3.3, 2.3.4, 2.3.5, 2.4.0, 2.4.1, 2.4.2, 2.4.4, 2.4.5, 2.4.7, 2.4.8, 2.4.9, 2.4.10, 2.4.11, 2.5.0, 2.5.1, 2.5.2, 2.5.3, 2.5.4, 2.5.5, 2.5.6, 2.5.7, 2.5.8, 2.5.9)
No matching distribution found for openpyxl==2.2.0b1
Please help me to install this openpyxl
I believe the b1 stands for beta-1 which means this was a beta version before becoming the latest stable version, so when the requirement was written 2.2.0 wasn't fully released yet on PyPi, but now it is so you can use it normally. For the same functionality you should just use.
pip install openpyxl==2.2.0