cdmikechen commented on PR #1029:
URL: https://github.com/apache/submarine/pull/1029#issuecomment-1344044795

   > > Contributor
   > 
   > > > > > > @FatalLin I think this should be fine, but I just have a 
question: Can we add a version range limit on the changes like @pingsutw 
mentioned last time? This would avoid the problem of new versions causing build 
failures again in the future.
   > > > > > 
   > > > > > 
   > > > > > do you mean fix the version of all dependency?
   > > > > 
   > > > > 
   > > > > I mean the lines you changed with `pip install`.
   > > > 
   > > > 
   > > > I think we could fix the version at 1.2.2 - which would be the same 
with the current command, Im not favor in using a range of version on single 
dependency is because somehow it may bring unexpected changes from their own 
dependency, just like it require the version of nodeJs is higher than 14.0 this 
time.
   > > 
   > > 
   > > Is it possible to determine the range/max of versions of `cvxpy` and 
`pyqlib` or `nodejs` supported by conda 4.11 in the official jupyter project? 
Or is it possible that using the conda command will automatically install the 
best version for the current environment?
   > > If we don't specify the version range, every install command will get 
the latest version and at some point in the future if there is a conflict 
between the new versions it will again break the build, which is what I'm 
worried about.
   > 
   > I don't get it, if your purpose is trying to avoid potential conflict, why 
dont we just fix all the version here?
   
   I'm not a heavy user of conda, but I think conda should install the version 
of the resource that matches the dependencies according to its own environment 
(4.11).
   So I think we should just make sure that the `cvxpy` and `pyqlib` version 
which you changed using the `pip install` command matches or try using the 
`conda install` command to verify it.


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