[WIP] Advanced Indexing #3: Added support for multiple multidimensional Indices

[kc611]

As titled this PR build over #8491 and adds support for more than one advanced index.

[sklam]

A test that i am trying. This one is from the first example in https://numpy.org/doc/stable/user/basics.indexing.html#combining-advanced-and-basic-indexing

from numba import njit
import numpy as np

@njit
def foo():
    x = np.arange(10 * 20 * 30).reshape(10, 20, 30)
    ind = np.arange(2 * 3 * 4).reshape(2, 3, 4)
    ind[ind >= 20] = 1
    return x[..., ind, :]

r = foo()
print(r)

[github-actions]

This pull request is marked as stale as it has had no activity in the past 3 months. Please respond to this comment if you're still interested in working on this. Many thanks!