I am getting the following error output when trying to install eomaps using Conda. I don't know how to solve this. I have also tried the same using pip but it didn't seem to solve the problem. Here is the error that Conda reports:
(base) C:\Windows\system32>conda install -c conda-forge eomaps
Collecting package metadata (current_repodata.json): done
Solving environment: failed with initial frozen solve. Retrying with flexible solve.
Solving environment: failed with repodata from current_repodata.json, will retry with next repodata source.
Collecting package metadata (repodata.json): done
Solving environment: failed with initial frozen solve. Retrying with flexible solve.
Solving environment: -
Found conflicts! Looking for incompatible packages.
This can take several minutes. Press CTRL-C to abort.
Here is the error that pip reports:
ERROR: Failed building wheel for cartopy
ERROR: Command errored out with exit status 1:
------
ERROR: Failed building wheel for fiona
ERROR: Could not build wheels for cartopy which use PEP 517 and cannot be installed directly
How can I get this to install?
EOmaps dev here...
I think the problem is that you're installing packages in your (base) environment! You most probably have some packages installed (previous versions of cartopy, pyproj etc.?) that conflict with the requirements of EOmaps which is why the conda-solver does not succeed.
I'd strongly suggest working in a fresh environment and NOT in the base environment!
(Checkout conda user-guide - managing environments)
As an example, the following should work without any problems:
conda create -n eomaps_env python=3.9
conda activate eomaps_env
conda install -c conda-forge eomaps
(the name eomaps_env and the python-version are both optional and you can change it to whatever name and version you like!)
To speed up solving complex dependencies you can also try to use mamba (a c++ reimplementation of the conda package manager) which does the very same thing as conda (but solving dependencies works a lot faster):
conda create -n eomaps_env python=3.9
conda activate eomaps_env
conda install -c conda-forge mamba
mamba install -c conda-forge eomaps
Related
I tried to install optitype as follow:
conda install -c bioconda optitype
I got the message:
Collecting package metadata (current_repodata.json): done
Solving environment: failed with initial frozen solve. Retrying with flexible solve.
Solving environment: failed with repodata from current_repodata.json, will retry with next repodata source.
Collecting package metadata (repodata.json): done
Solving environment: failed with initial frozen solve. Retrying with flexible solve.
Solving environment: |
Found conflicts! Looking for incompatible packages.
This can take several minutes. Press CTRL-C to abort.
failed
UnsatisfiableError: The following specifications were found
to be incompatible with the existing python installation in your environment:
Specifications:
optitype -> python[version='2.7.|>=2.7,<2.8.0a0|3.5.|3.4.*']
Your python: python=3.8
If python is on the left-most side of the chain, that's the version you've asked for.
When python appears to the right, that indicates that the thing on the left is somehow
not available for the python version you are constrained to. Note that conda will not
change your python version to a different minor version unless you explicitly specify
that.
The following specifications were found to be incompatible with your system:
feature:/linux-64::__glibc==2.31=0
feature:|#/linux-64::__glibc==2.31=0
Your installed version is: 2.31
So, I tried to install python 2.7 in conda:
conda install -c anaconda python=2.7
which gave me hundred of conflicts and finished by saying that I installed:
Your installed version is: 2.31
I re-tried to install optitype but it's not working!
If someone has an idea!
Bioconda as a channel builds atop the conda-forge channel. Any specification that does not prioritize that (such as prioritizing anaconda channel) is incorrect. Also, do not bother changing Python versions in-place beyond patches - nearly every package will have to be reinstalled, such that it is much more simple for the solver to create a new environment. Try something like,
# name the environment something meaningful (not "foo")
conda create -n foo -c conda-forge -c bioconda python=2.7 optitype
Feel free to include additional packages that you require in the same line.
Note that mamba is much faster than conda, especially when solving for older packages like this. That is, were I installing this, I would use:
# install mamba if not already installed
conda install -n base -conda-forge mamba
mamba create -n foo -c conda-forge -c bioconda python=2.7 optitype
I have installed Anaconda from scratch and then installed pyomo, which worked.
When I try to install pyomo.extra, it runs about 1/2 hour and then fails.
I had tried:
conda install -c conda-forge pyomo.extras
conda install -c "conda-forge/label/cf201901" pyomo.extras
conda install -c "conda-forge/label/cf202003" pyomo.extras
as recommended on https://anaconda.org/conda-forge/pyomo.extras
and also
conda config --add channels conda-forge
conda install pyomo.extras
subsequently checking with
conda search pyomo.extras --channel conda-forge
as recommended on https://github.com/conda-forge/pyomo.extras-feedstock
indicated that pyomo.extra isn't installed.
here is the generated output.
(base) PS C:\WINDOWS\system32> conda install pyomo.extras
Collecting package metadata (current_repodata.json): done
Solving environment: failed with initial frozen solve. Retrying with flexible solve.
Solving environment: failed with repodata from current_repodata.json, will retry with next repodata source.
Collecting package metadata (repodata.json): done
Solving environment: failed with initial frozen solve. Retrying with flexible solve.
Solving environment: -
Found conflicts! Looking for incompatible packages.
This can take several minutes. Press CTRL-C to abort.
Examining conflict for pyomo.extras: 75%|███████████████████████████████████▎ | 3/4 [00:03<00:01, 1.15s/it]\failed
UnsatisfiableError: The following specifications were found
to be incompatible with the existing python installation in your environment:
Specifications:
- pyomo.extras -> python[version='2.7.*|3.5.*|3.6.*|>=2.7,<2.8.0a0|>=3.6,<3.7.0a0|>=3.7,<3.8.0a0|3.4.*']
Your python: python=3.9
If python is on the left-most side of the chain, that's the version you've asked for.
When python appears to the right, that indicates that the thing on the left is somehow
not available for the python version you are constrained to. Note that conda will not
change your python version to a different minor version unless you explicitly specify
that.
The following specifications were found to be incompatible with your system:
- feature:/win-64::__win==0=0
- feature:|#/win-64::__win==0=0
- pyomo.extras -> ipython -> __osx
- pyomo.extras -> ipython -> __win
Your installed version is: 0
(base) PS C:\WINDOWS\system32> conda search pyomo.extras --channel conda-forge
Loading channels: -
(base) PS C:\WINDOWS\system32>
Questions:
what might be the reason why installation of pyomo.extra fails?
what alternatives for installing pyomo.extra can be recommende?
The package is only available for Python 2.7, 3.6, and 3.7, but your target environment currently has Python 3.9. Conda will not change the Python version in-place because it entails changing pretty much every package in the environment. Instead, try creating a new environment with a compatible Python version.
## include any other packages now
conda create --name foo python=3.7 pyomo pyomo.extras
Why only old versions? The feedstock repository has been failing to build updated versions since Python 3.8 and no maintainers have stepped in to fix it. If you would like to see updated versions built, then drop an Issue on the feedstock or, if you feel comfortable trying to fix it, send a Pull Request. The squeaky wheel get's the grease!
My Conda Environments are not showing up in my Jupiter Notebooks. I've reviewed all the (excellent) dialogue here, but it doesn't appear to work for python 3.9.2.
I tried the following, which didn't work:
conda install jupyter
conda install ipykernel
conda install nb_conda
Then when I try the following conda install nb_conda_kernels I get the following error:
Solving environment: failed with initial frozen solve. Retrying with flexible solve.
Solving environment: failed with repodata from current_repodata.json, will retry with next repodata source.
Collecting package metadata (repodata.json): done
Solving environment: failed with initial frozen solve. Retrying with flexible solve.
Solving environment: |
Found conflicts! Looking for incompatible packages.
This can take several minutes. Press CTRL-C to abort.
failed
UnsatisfiableError: The following specifications were found
to be incompatible with the existing python installation in your environment:
Specifications:
- nb_conda_kernels -> python[version='>=2.7,<2.8.0a0|>=3.6,<3.7.0a0|>=3.7,<3.8.0a0|>=3.8,<3.9.0a0']
Your python: python=3.9
If python is on the left-most side of the chain, that's the version you've asked for.
When python appears to the right, that indicates that the thing on the left is somehow
not available for the python version you are constrained to. Note that conda will not
change your python version to a different minor version unless you explicitly specify
that.
How can I get my conda environments to show in jupyter notebooks in python 3.9.2? Thank you!
Try using the conda-forge channel, e.g.:
$ conda install -c conda-forge ipykernel
And you don't need to install jupyter if this conda env is just a kernel to add, if that's what you want to do.
After that, you need to run this in that conda env:
$ python -m ipykernel install --user --name vanilla --display-name "Python 3 (vanilla)"
Replace the name and display-name to your liking.
After installing Anaconda, at first, I installed tensorflow with conda, then I tried to install opencv with the following conda commands:
conda install -c conda-forge opencv
conda install -c conda-forge/label/gcc7 opencv
conda install -c conda-forge/label/broken opencv
conda install -c conda-forge/label/cf201901 opencv
conda install -c conda-forge/label/cf202003 opencv
But, none of the avobe worked, it failed to install opencv on my base (root) environment. (However, I became able to install it on a different environment.)
The error message I got is:
Solving environment: failed with initial frozen solve. Retrying with flexible solve.
Solving environment: failed with repodata from current_repodata.json, will retry with next repodata source.
I also tried to install opencv with Anaconda Navigator on base (root) environment. But, it didn't work also.
Then, I tried to install opencv with pip with the following commmand:
pip install opencv-python
But, it also didn't work.
Now, How can I install opencv on my base (root) environment?
Your (partial) error message (from the comments):
Solving environment: failed with initial frozen solve. Retrying with flexible solve. Solving environment: failed with repodata from current_repodata.json, will retry with next repodata source.
and the fact that you were able to install it into a different environment:
However, I became able to install it on a different environment.
Indicate that you have conflicts with other packages in your base environment, i.e. conda was not able to determine how to fit opencv and its dependencies together with other packages in your base environment.
The best practice here would be to set up a new environment and only install the packages that you need for a certain project.
Alternatively, you could also uninstall anaconda and install miniconda (which is the same as aanconda, but without the preinstalled packages) and then install into base only what you need.
I need to update cartopy 0.16 to 0.17 because of this bug fix.
bash command conda list | grep cartopy returns:
cartopy 0.16.0
When I then do conda update cartopy
I get:
Collecting package metadata (current_repodata.json): done
Solving environment: done
# All requested packages already installed.
But then checking again, I still have cartopy 0.16.
I've also tried the commands:
conda install -c conda-forge cartopy (that just installs 0.16) and conda install cartopy=0.17 which takes me through a long list of returns that starts with this:
Collecting package metadata (current_repodata.json): done
Solving environment: failed with initial frozen solve. Retrying with flexible solve.
Solving environment: failed with repodata from current_repodata.json, will retry with next repodata source.
Collecting package metadata (repodata.json): done
Solving environment: failed with initial frozen solve. Retrying with flexible solve.
Solving environment: |
Found conflicts! Looking for incompatible packages.
This can take several minutes. Press CTRL-C to abort.
Examining conflict for conda basemap scipy python mkl_fft twyt...
But it ultimately doesn't update cartopy.
Does anybody know how I can get the new version with conda?
It looks like there are packages in your current env that are conflicting with the newer version of cartopy. I suggest creating a seperate environment for that cartopy version:
conda create -n <someName> python=<your desired version> cartopy=0.17 <other packages you may need>