A Conda package is built against libc 3.4.30 (in this case, python-casacore).
Conda ships with libc 3.4.30.
Running ldd libcasa_casa.so shows that casa is correctly linked to the Conda version of libc.
If I enter the Julia-managed conda (~/.julia/3/bin/python) and import casacore.tables it works fine.
BUT, when I pyimport("casacore.tables") I get the following error:
<class 'ImportError'>
ImportError("/home/torrance/julia-1.7.3/bin/../lib/julia/libstdc++.so.6: version `GLIBCXX_3.4.30' not found (required by /home/torrance/.julia/conda/3/lib/python3.9/site-packages/casacore/tables/../../../../libcasa_tables.so.7)")
It looks like to me that when run in the context of Julia, the pyimport statement wants to preferentially link against the Julia supplied libc, and not the Conda supplied libc. Moreover, the Julia supplied libc is at version 3.4.29.
Is this choice to link against the Julia libc a deliberate choice? If so, how to we mitigate this kind of issue happening each time Conda and Julia libc versions aren't aligned?
I'm encountering an issue where:
ldd libcasa_casa.so
shows that casa is correctly linked to the Conda version of libc.~/.julia/3/bin/python
) andimport casacore.tables
it works fine.BUT, when I
pyimport("casacore.tables")
I get the following error:It looks like to me that when run in the context of Julia, the
pyimport
statement wants to preferentially link against the Julia supplied libc, and not the Conda supplied libc. Moreover, the Julia supplied libc is at version 3.4.29.Is this choice to link against the Julia libc a deliberate choice? If so, how to we mitigate this kind of issue happening each time Conda and Julia libc versions aren't aligned?