FIX: Use recent numba

[mgrover1]

Numba likely needs to be re-installed to compile correctly for the image. This will ensure more recent versions of numba are used, likely fixing the issue here (cc @brian-rose @r-ford )

[github-actions]

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[mgrover1]

Here is a snippet from the failing workflow

----> 9 import numba
     10 import scipy.sparse
     11 from numpy.lib.mixins import NDArrayOperatorsMixin

File /srv/conda/envs/notebook/lib/python3.9/site-packages/numba/__init__.py:43
     39 from numba.core.decorators import (cfunc, generated_jit, jit, njit, stencil,
     40                                    jit_module)
     42 # Re-export vectorize decorators and the thread layer querying function
---> 43 from numba.np.ufunc import (vectorize, guvectorize, threading_layer,
     44                             get_num_threads, set_num_threads)
     46 # Re-export Numpy helpers
     47 from numba.np.numpy_support import carray, farray, from_dtype

File /srv/conda/envs/notebook/lib/python3.9/site-packages/numba/np/ufunc/__init__.py:3
      1 # -*- coding: utf-8 -*-
----> 3 from numba.np.ufunc.decorators import Vectorize, GUVectorize, vectorize, guvectorize
      4 from numba.np.ufunc._internal import PyUFunc_None, PyUFunc_Zero, PyUFunc_One
      5 from numba.np.ufunc import _internal, array_exprs

File /srv/conda/envs/notebook/lib/python3.9/site-packages/numba/np/ufunc/decorators.py:3
      1 import inspect
----> 3 from numba.np.ufunc import _internal
      4 from numba.np.ufunc.parallel import ParallelUFuncBuilder, ParallelGUFuncBuilder
      6 from numba.core.registry import TargetRegistry

SystemError: initialization of _internal failed without raising an exception
SystemError: initialization of _internal failed without raising an exception