Updates:
Status: Fixed
Comment #10 on issue 360 by matt...@gmail.com: Arithmetic with complex
infinity
http://code.google.com/p/sympy/issues/detail?id=360
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Updates:
Status: Duplicate
Mergedinto: 2495
Comment #5 on issue 825 by matt...@gmail.com: SYMPY_USE_CACHE=no py.test
sympy/ results
http://code.google.com/p/sympy/issues/detail?id=825
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Comment #5 on issue 2495 by matt...@gmail.com: Test failures with the cache
turned off
http://code.google.com/p/sympy/issues/detail?id=2495
Issue 825 has been merged into this issue.
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Updates:
Status: Fixed
Owner: ---
Cc: -matt...@gmail.com
Comment #15 on issue 2104 by matt...@gmail.com: canonical ordering of terms
http://code.google.com/p/sympy/issues/detail?id=2104
This was fixed in 0.7.0.
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Comment #36 on issue 2607 by smi...@gmail.com: as_numer_denom() is too slow
http://code.google.com/p/sympy/issues/detail?id=2607
Does your as_numer_denom5() satisfy the requirements of together() that
Mateusz mentioned in comment 29?
No, it's just a faster version of the existing
Comment #10 on issue 2624 by ness...@googlemail.com: Sympy 0.7.1 can't
integrate Gaussians
http://code.google.com/p/sympy/issues/detail?id=2624
The ideal solution would be to figure out ways to make it simpler
in the algorithm itself.
I agree, but I don't see how to.
Comment #11 on issue 2624 by ness...@googlemail.com: Sympy 0.7.1 can't
integrate Gaussians
http://code.google.com/p/sympy/issues/detail?id=2624
I should mention that, of course, we can do all the steps of the paper by
hand:
In [6]: mellin_transform((2-x)**alpha*Heaviside(2-x), x, s)
Comment #37 on issue 2607 by smi...@gmail.com: as_numer_denom() is too slow
http://code.google.com/p/sympy/issues/detail?id=2607
Re #35
right, it doesn't work. Although an entire Mul is cached, when you multiply
that by another Mul, all the args are reprocessed. I checked this with Add
but
Comment #38 on issue 2607 by asmeurer: as_numer_denom() is too slow
http://code.google.com/p/sympy/issues/detail?id=2607
@smichr: see issue 683, and Mateusz's branch there.
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Comment #20 on issue 2081 by smi...@gmail.com: Pow substitution introduces
wrong answers
http://code.google.com/p/sympy/issues/detail?id=2081
Issue 2617 is another manifestation of this issue in that
(1/z).subs(1/z**2, a) gives sqrt(a) which is not right if z is -1.
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Comment #2 on issue 2617 by smi...@gmail.com: cse not working correctly
with powers
http://code.google.com/p/sympy/issues/detail?id=2617
I believe this is a subs problem since (1/z).subs(1/z**2, a) should not be
sqrt(a). See issue 2081. (Where is that merge field?)
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Comment #3 on issue 2617 by asmeurer: cse not working correctly with powers
http://code.google.com/p/sympy/issues/detail?id=2617
Mark the status as Duplicate and it will give you a merge box, where you
type the issue number you want to merge into.
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Updates:
Status: 2081
Comment #4 on issue 2617 by smi...@gmail.com: cse not working correctly
with powers
http://code.google.com/p/sympy/issues/detail?id=2617
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Comment #21 on issue 2081 by smi...@gmail.com: Pow substitution introduces
wrong answers
http://code.google.com/p/sympy/issues/detail?id=2081
Issue 2617 has been merged into this issue.
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Status: Duplicate
Mergedinto: 2081
Comment #5 on issue 2617 by smi...@gmail.com: cse not working correctly
with powers
http://code.google.com/p/sympy/issues/detail?id=2617
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Updates:
Status: Fixed
Labels: -NeedsReview PassedReview
Comment by asmeurer:
This was merged.
Affected issues:
issue 2537: Use MathJax in the docs
http://code.google.com/p/sympy/issues/detail?id=2537
issue 2561: Add a link to the source next to function definitions in
Comment #22 on issue 1235 by asmeurer: Problem installing in Windows
http://code.google.com/p/sympy/issues/detail?id=1235
I'm not sure what to do with this issue. This will be an issue with every
new release, and it seems impossible to solve unless someone has a Windows
machine. I'm
Comment #39 on issue 2607 by smi...@gmail.com: as_numer_denom() is too slow
http://code.google.com/p/sympy/issues/detail?id=2607
By keeping track of the terms internally rather than feeding it back to
Mul, some significant improvements can be made:
from timeit import timeit as T
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