[Numpy-discussion] Different results from repeated calculation, part 2

Keith Goodman kwgoodman@gmail....
Thu Aug 14 12:20:42 CDT 2008

I get slightly different results when I repeat a calculation.

I've seen this problem before (it went away but has returned):


A unit test is attached. It contains three tests:

In test1, I construct matrices x and y and then repeatedly calculate z
= calc(x,y). The result z is the same every time. So this test passes.

In test2, I construct matrices x and y each time before calculating z
= calc(x,y). Sometimes z is slightly different. But the x's test to be
equal and so do the y's. This test fails (on Debian Lenny, Core 2 Duo,
with libatlas3gf-sse2 but not with libatlas3gf-sse).

test3 is the same as test2 but I calculate z like this: z =
calc(100*x,y) / (100 * 100). This test passes.

I get:

FAIL: repeatability #2
Traceback (most recent call last):
  File "/home/[snip]/test/repeat_test.py", line 73, in test_repeat_2
    self.assert_(result, msg)
AssertionError: Max difference = 2.04946e-16


Should a unit test like this be added to numpy?
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