[Numpy-discussion] numarray: Two edge case buglets for clip
Edward C. Jones
edcjones at comcast.net
Thu Jan 5 16:49:13 CST 2006
#! /usr/bin/env python
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.
# Here is an edge case. Should the following work or not:
arr = numarray.array(, 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
# In this case, 2**63 _is_ representable as a UInt64.
arr = numarray.array(, UInt64)
print arr.type(), arr
arrout = numarray.clip(arr, 0, 2**63-1)
print arr.type(), arrout
arrout = numarray.clip(arr, 0, 2**63)
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