[Numpy-discussion] numarray: Two edge case buglets for clip

[Edward C. J. <edc...@co...>]

#! /usr/bin/env python

import numarray
from numarray.numerictypes import *

# I have a PC with an AMD Athlon 64 3500+ processor. The operating
# system is up-to-date Debian unstable Linux. I use the "i386"
# distribution, not the "amd64" distribution. The "i386" distribution
# works on both 32 and 64 bit machines.

def bug1():
    # Here is an edge case. Should the following work or not:

    arr = numarray.array([100], Int8)
    arrout = numarray.clip(arr, -1000, 1000)

    # The documentation doesn't quite give the answer:

    # "The clip function creates an array with the same shape and
    # type as m, but where every entry in m that is less than m_min
    # is replaced by m_min, and every entry greater than m_max is
    # replaced by m_max.  Entries within the range [m_min, m_max] are
    # left unchanged."

    # In image processing, I can easily imagine a loop where
    # numarrays of various types are all clipped to [0, 255].
    # Therefore I think that the "clip" above should return a copy of
    # arr.

def bug2():
    # In this case, 2**63 _is_ representable as a UInt64.
    arr = numarray.array([100], UInt64)
    print arr.type(), arr
    arrout = numarray.clip(arr, 0, 2**63-1)
    print arr.type(), arrout
    arrout = numarray.clip(arr, 0, 2**63)
    print arrout

bug1()
bug2()