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Re: [IMP-users] IMP 2.16.0 release



Dear Ben and all,

I am having troubles installing 2.16.0 from Anaconda, getting errors like:

conda install -c salilab imp
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 your system:

  - feature:/linux-64::__glibc==2.17=0
  - imp -> libgcc-ng[version='>=9.3.0'] -> __glibc[version='>=2.17']

Your installed version is: 2.17

The incompatible specifications are bit random, running on another day or time I got:

Package __glibc conflicts for:
@/linux-64::__glibc==2.17=0
imp -> libgcc-ng[version='>=9.3.0'] -> __glibc[version='>=2.17']

On another computer got:
ResolvePackageNotFound: 
  - libopencv[version='>=4.5.1,<4.5.2.0a0’]

Running one minute later:
ResolvePackageNotFound: 
  - gsl[version='>=2.6,<2.7.0a0’]

Have the same with 2.15.0. 

Has anyone encountered similar issues and can suggest a solution?

Best,
Jan


IMP 2.16.0 is now available. This contains major updates, notably improved NumPy integration, support for Python 3.10, and a faster scoring function for Monte Carlo sampling.

See https://integrativemodeling.org/2.16.0/doc/manual/changelog.html for the full change log.

Check it out at https://integrativemodeling.org/

Ben
--
" class="">                      https://salilab.org/~ben/
"It is a capital mistake to theorize before one has data."
- Sir Arthur Conan Doyle
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