I found a couple more incompatibilities between Numeric and numarray object array handling. When I print an object array in Numeric, if the __str__ method exists for the contained object type, Numeric uses it to print the object. However, numarray uses the __repr__ method instead. This breaks my doctest strings I think Numeric does it correctly. In my example I have a class called Err with def __repr__(self): return "Err(%s,%s,%s)" % (self.value, self.posErr, self.negErr) def __str__(self): return "%s +%s/-%s" % (self.value, self.posErr, self.negErr) Numeric behaves as follows (Note: ArrayOfErr() is just building an object array):

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print ArrayOfErr([909., 802., 677., 585.], 1.0) [909.0 +1.0/-1.0 802.0 +1.0/-1.0 677.0 +1.0/-1.0 585.0 +1.0/-1.0 ]

whereas numarray does this:

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print ArrayOfErr([909., 802., 677., 585.], 1.0) [Err(909.0,1.0,1.0), Err(802.0,1.0,1.0), Err(677.0,1.0,1.0), Err(585.0,1.0,1.0)]

It also appears that if you try to apply the funtion abs to a built-in Python number type after doing a 'from numarray import *', instead of using Python's abs() function as Numeric does and returning a number, numarray creates an ObjectArray containing the number and returns it. This may be a bug. Note also the different answer when an int or float type is passed as an argument to cos:

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from Numeric import * cos(1) 0.54030230586813977 cos(1.) 0.54030230586813977 abs(-1) 1

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from numarray import * cos(1) 0.54030227661132813 cos(1.) 0.54030230586813977 abs(-1) ObjectArray(1) --

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