[Python-checkins] CVS: python/dist/src/Lib/test test_math.py,1.5,1.6
Tim Peters
python-dev@python.org
Wed, 11 Oct 2000 23:10:27 -0700
Update of /cvsroot/python/python/dist/src/Lib/test
In directory slayer.i.sourceforge.net:/tmp/cvs-serv13972/python/dist/src/Lib/test
Modified Files:
test_math.py
Log Message:
Stop raising OverflowError on underflows reported by libm (errno==ERANGE and
libm result is 0). Cautiously add a few libm exception test cases:
1. That exp(-huge) returns 0 without exception.
2. That exp(+huge) triggers OverflowError.
3. That sqrt(-1) raises ValueError specifically (apparently under glibc linked
with -lieee, it was raising OverflowError due to an accident of the way
mathmodule.c's CHECK() macro happened to deal with Infs and NaNs under gcc).
Index: test_math.py
===================================================================
RCS file: /cvsroot/python/python/dist/src/Lib/test/test_math.py,v
retrieving revision 1.5
retrieving revision 1.6
diff -C2 -r1.5 -r1.6
*** test_math.py 2000/08/10 04:23:30 1.5
--- test_math.py 2000/10/12 06:10:24 1.6
***************
*** 153,154 ****
--- 153,183 ----
testit('tanh(0)', math.tanh(0), 0)
testit('tanh(1)+tanh(-1)', math.tanh(1)+math.tanh(-1), 0)
+
+ print 'exceptions' # oooooh, *this* is a x-platform gamble! good luck
+
+ try:
+ x = math.exp(-1000000000)
+ except:
+ # mathmodule.c is failing to weed out underflows from libm, or
+ # we've got an fp format with huge dynamic range
+ raise TestFailed("underflowing exp() should not have rasied an exception")
+ if x != 0:
+ raise TestFailed("underflowing exp() should have returned 0")
+
+ # If this fails, probably using a strict IEEE-754 conforming libm, and x
+ # is +Inf afterwards. But Python wants overflows detected by default.
+ try:
+ x = math.exp(1000000000)
+ except OverflowError:
+ pass
+ else:
+ raise TestFailed("overflowing exp() didn't trigger OverflowError")
+
+ # If this fails, it could be a puzzle. One odd possibility is that
+ # mathmodule.c's CHECK() macro is getting confused while comparing
+ # Inf (HUGE_VAL) to a NaN, and artificially setting errno to ERANGE
+ # as a result (and so raising OverflowError instead).
+ try:
+ x = math.sqrt(-1.0)
+ except ValueError:
+ pass