Comment #2 on issue 1667 by smichr: Unexpected behaviour when calling
Sum.doit().
http://code.google.com/p/sympy/issues/detail?id=1667
-1 on patch
Perhaps the way to handle this would be to give doit() a deep option which
would seek
to apply doit to all arguments of the current object. I
Comment #4 on issue 1667 by asmeurer: Unexpected behaviour when calling
Sum.doit().
http://code.google.com/p/sympy/issues/detail?id=1667
I recently change Integral.doit() to do this. See commit
3a7f440c86117f17f3fcc1e89c8a90c7d334ced9.
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Comment #5 on issue 1667 by asmeurer: Unexpected behaviour when calling
Sum.doit().
http://code.google.com/p/sympy/issues/detail?id=1667
By the way, I wouldn't mind having a deep flag for doit() (though maybe it
should be on by default). At any rate,
if it is added, it needs to be used in
Updates:
Status: Invalid
Comment #2 on issue 1662 by smichr: exception AttributeError in
sympy.cse ( 'tuple' object has no attribute 'args' )
http://code.google.com/p/sympy/issues/detail?id=1662
(No comment was entered for this change.)
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Updates:
Status: Started
Comment #3 on issue 1664 by ondrej.certik: Matrix([ [1, 2, 3], [4, 5, 6],
[7, 8, 9] ]).eigenvects() fails
http://code.google.com/p/sympy/issues/detail?id=1664
Thanks, this is in!
Now sympy produces:
In [1]: from sympy import *
In [2]: M = Matrix([ [1, 2,
Status: Accepted
Owner: ondrej.certik
CC: smichr
Labels: Type-Defect Priority-Medium NeedsReview
New issue 1669 by ondrej.certik:
strip_whitespace-allow-to-recurse-directories
http://code.google.com/p/sympy/issues/detail?id=1669
Please review.
Attachments:
Updates:
Cc: ondrej.certik
Comment #2 on issue 1660 by smichr: [PATCH] derivatives of composed
functions should not evaluate to a derivative in terms of a function
http://code.google.com/p/sympy/issues/detail?id=1660
In one of the tests that was deleted, the following was asserted:
