cumprod method doesn't upcast unsigned integer array

[peterzsohar]

Reporting a bug

• I have tried using the latest released version of Numba (most recent is
  visible in the release notes
  (https://numba.readthedocs.io/en/stable/release-notes-overview.html).
• I have included a self contained code sample to reproduce the problem.
  i.e. it's possible to run as 'python bug.py'.

Not only is it in conflict with numpy it also contradicts what numba does with signed integers.
Please see the example below:

import numpy as np
import numba

print("numpy version:", np.__version__)
# 1.26.4

print("numba version:", numba.__version__)
# 0.59.1

def do_cumprod():
    return np.array([20, 20], dtype=np.int8).cumprod(), np.array([20, 20], dtype=np.uint8).cumprod()

do_cumprod_jit = numba.njit(do_cumprod)

# numpy: upcasting
print("numpy:", do_cumprod())
# (array([ 20, 400]), array([ 20, 400], dtype=uint64))

# numba: upcasting for int8, no upcasting and overflow with uint8
print("numba:", do_cumprod_jit())
# (array([ 20, 400]), array([ 20, 144], dtype=uint8))

This behavior was first introduced with 0.57.

numpy version: 1.22.4
numba version: 0.56.4
numpy: (array([ 20, 400]), array([ 20, 400], dtype=uint64))
numba: (array([ 20, 400]), array([ 20, 400], dtype=uint64))

numpy version: 1.22.4
numba version: 0.57.0
numpy: (array([ 20, 400]), array([ 20, 400], dtype=uint64))
numba: (array([ 20, 400]), array([ 20, 144], dtype=uint8))

Thanks!