Regression: SubFieldView does not support some numpy operations about pylas HOT 1 CLOSED

import pylas
las = pylas.read("pylastests/simple.las")
import numpy as np

print(las.return_number)
# array([1, 1, 1, ..., 1, 1, 1], dtype=uint8)

ascending_order = np.argsort(las.return_number)[::-1]
print(las.return_number[ascending_order])
# array([4, 4, 4, ..., 1, 1, 1], dtype=uint8)
las.return_number[:] = las.return_number[ascending_order]
print(las.return_number)
# array([1, 1, 1, ..., 1, 1, 1], dtype=uint8) # bif oof

# To actually update you have to do
rn = las.return_number[ascending_order]
las.return_number = rn
print(las.return_number)
# array([4, 4, 4, ..., 1, 1, 1], dtype=uint8)

>>> np.concatenate([cloud.return_number, cloud.return_number])
...
ValueError: zero-dimensional arrays cannot be concatenated

>>> cloud.return_number[0] + 1
...
TypeError: unsupported operand type(s) for +: 'SubFieldView' and 'int'

>>> ordered = np.argsort(cloud.gps_time)
>>> cloud.return_number[:] = cloud.return_number[ordered]
...
TypeError: unsupported operand type(s) for <<: 'SubFieldView' and 'int'

>>> field = np.zeros(len(cloud.points), dtype=np.uint8)
>>> field[:] = cloud.return_number[:]
...
TypeError: __array__() takes 1 positional argument but 2 were given

field = np.array(cloud.return_number)
print(field)
# [4 4 4 ... 1 1 1]
# if field is modified:
las.return_number[:] = field[:]