This fails to install as it cannot solve the conda environment (see Michael’s output above) Example 2 I run these following commands on Windows 10 via the anaconda prompt:Ĭonda install -n test_env -c conda-forge matminer This is the ideal method that doesn’t work. Sure thing! Here’s a summary of what I’ve tested so far: Example 1
Is there a problem with the repository or is there a problem on my end?
Package citrination-client conflicts for: UnsatisfiableError: The following specifications were found to be incompatible with each other: Solving environment: failed with repodata from current_repodata.json, will retry with next repodata source.Ĭollecting package metadata (repodata.json): doneįound conflicts! Looking for incompatible packages. Solving environment: failed with initial frozen solve. (main36) C:\Users\mm049>conda install -c conda-forge matminerĬollecting package metadata (current_repodata.json): done To create a new environment from a myenv.Hello, I have just been met with the following error across all of my anaconda distributions across various platforms when upgrading conda and despite several clean installs all attempts to install matminer via “conda install -c conda-forge matminer” result in the following message $ conda env export -from-history > myenv.yml If you only want to include packages you explicitly installed, add -from-history flag when exporting. To export all packages in myenv environment: Remove an environment $ conda remove -name myenv -all
$ conda create -name myenv python=3.9 numpy=1.23.5 astropyĬlone an environment $ conda create -name myenvclone -clone myenv To create a environment with specified python version and packages, run: $ conda create -no-default-packages -name myenv To crate a new environment without default packages, run: To crate a new environment myenv with default packages specified in previous section, run: Set default packagesĪdd create_default_packages section in ~/.condarc. Warning: Automatically activate base environment will break some applications that depends on system python, since the python in your conda environment will miss some dependencies.
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