Faq python config freezes at pip dependencies: Difference between revisions

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# Type <code>import sys</code> and enter.
# Type <code>import sys</code> and enter.
# Type <code>sys.executable</code> and enter. Copy this output.
# Type <code>sys.executable</code> and enter. Copy this output.
# Go back to the MATLAB command window. Type in <code>pyenv('Version','PASTE_OUTPUT_FROM_STEP_9_HERE','ExecutionMode','InProcess') and execute</code>.
# Go back to the MATLAB command window. Type in <code>pyenv('Version','PASTE_OUTPUT_FROM_STEP_9_HERE','ExecutionMode','InProcess')</code> and enter.
# We then urge to rerun <code>config_pyenv</code> to see if this fixed the issue.
# We then urge to rerun <code>config_pyenv</code> to see if this fixed the issue.



Revision as of 09:49, 20 December 2021

Issue:

Why does Python configuration freeze at the 'Installing pip dependencies...' step?

Possible Solutions:

This seems to be a Miniconda issue when building the PLS_Toolbox virtual environment for the first time. It might also be worth noting we have only seen this on Windows machines so far (if you are running something different and encounter this, please let us know). Here is a workaround for those who have this issue in MATLAB:

  1. Get path to config_pyenv.m.
    1. From the MATLAB Command Window, type in the command which config_pyenv and enter.
    2. Copy output of this command.
  2. Open Anaconda Powershell Prompt (Windows) or Terminal (macOS or Linux).
  3. Type cd PASTE_OUTPUT_FROM_STEP_1_HERE and enter.
  4. Type cd ymls and enter.
  5. Type conda create -f pls_toolbox_<platform>_38.yml and enter. This may take several minutes depending on your machine.
    1. <platform> is one of either mac, windows, or linux, depending on what OS you are running.
  6. Next, type conda activate pls_toolbox_<platform>_38 and enter.
  7. Type python and enter.
  8. Type import sys and enter.
  9. Type sys.executable and enter. Copy this output.
  10. Go back to the MATLAB command window. Type in pyenv('Version','PASTE_OUTPUT_FROM_STEP_9_HERE','ExecutionMode','InProcess') and enter.
  11. We then urge to rerun config_pyenv to see if this fixed the issue.

Still having problems? Please contact our helpdesk at helpdesk@eigenvector.com