pyimport("scipy.fft") fails for scipy v1.8.1

If we install scipy v1.8.1 in the Julia-specific conda environment and call pyimport("scipy.fft"), we get the following error:

julia> using PyCall

julia> pyimport("scipy.fft")
ERROR: PyError (PyImport_ImportModule

The Python package scipy.fft could not be imported by pyimport. Usually this means
that you did not install scipy.fft in the Python version being used by PyCall.

PyCall is currently configured to use the Julia-specific Python distribution
installed by the Conda.jl package.  To install the scipy.fft module, you can
use `pyimport_conda("scipy.fft", PKG)`, where PKG is the Anaconda
package that contains the module scipy.fft, or alternatively you can use the
Conda package directly (via `using Conda` followed by `Conda.add` etcetera).

Alternatively, if you want to use a different Python distribution on your
system, such as a system-wide Python (as opposed to the Julia-specific Python),
you can re-configure PyCall with that Python.   As explained in the PyCall
documentation, set ENV["PYTHON"] to the path/name of the python executable
you want to use, run Pkg.build("PyCall"), and re-launch Julia.

) <class 'ImportError'>
ImportError("/home/sethaxen/.julia/juliaup/julia-1.7.3+0~x64/bin/../lib/julia/libstdc++.so.6: version `GLIBCXX_3.4.30' not found (required by /home/sethaxen/.julia/conda/3/lib/python3.9/site-packages/scipy/fft/_pocketfft/pypocketfft.cpython-39-x86_64-linux-gnu.so)")
  File "/home/sethaxen/.julia/conda/3/lib/python3.9/site-packages/scipy/fft/__init__.py", line 91, in <module>
    from ._helper import next_fast_len
  File "/home/sethaxen/.julia/conda/3/lib/python3.9/site-packages/scipy/fft/_helper.py", line 3, in <module>
    from ._pocketfft import helper as _helper
  File "/home/sethaxen/.julia/conda/3/lib/python3.9/site-packages/scipy/fft/_pocketfft/__init__.py", line 3, in <module>
    from .basic import *
  File "/home/sethaxen/.julia/conda/3/lib/python3.9/site-packages/scipy/fft/_pocketfft/basic.py", line 6, in <module>
    from . import pypocketfft as pfft

Stacktrace:
 [1] pyimport(name::String)
   @ PyCall ~/.julia/packages/PyCall/7a7w0/src/PyCall.jl:550
 [2] top-level scope
   @ REPL[3]:1

If we manually launch the Julia-specific conda's Python executable and call import scipy.fft, it loads with no problem. If we instead install scipy v1.8.0, then pyimport("scipy.fft") also runs with no problem.

Comienza con la entrada del stack trace PyCall.jl:550 y compara scipy 1.8.1 con 1.8.0 en el entorno Conda específico de Julia. Reproduce pyimport("scipy.fft") y la importación directa de Python; después, investiga la discrepancia de GLIBCXX_3.4.30 informada. Se considera terminado cuando la importación que falla funciona a través de PyCall sin hacer que deje de funcionar el caso operativo con scipy 1.8.0.