WIP: ENH nd array itk base serialize 4 dask

[ZhiyLiu]

PR Checklist

• No API changes were made (or the changes have been approved)
• No major design changes were made (or the changes have been approved)
• Added test (or behavior not changed)
• Updated API documentation (or API not changed)
• Added license to new files (if any)
• Added Python wrapping to new files (if any) as described in ITK Software Guide Section 9.5
• Added ITK examples for all new major features (if any)

Refer to the ITK Software Guide for
further development details if necessary.

[thewtex]

Based on the discussion here:

• https://stackoverflow.com/questions/54486021/how-to-pickle-numpy-ndarray-derived-class
• https://stackoverflow.com/questions/26598109/preserve-custom-attributes-when-pickling-subclass-of-numpy-array

The above two methods should be replaced with something like:

def __reduce__(self):
    np_copy = np.array(self, copy=True)
    pickled_state = super(NDArrayITKBase, np_copy).__reduce__()
    return pickled_state

[thewtex]

Superceded by #1942