Updates:
Cc: matt...@gmail.com
Labels: WrongResult
Comment #20 on issue 2607 by asmeurer: as_numer_denom() is too slow
http://code.google.com/p/sympy/issues/detail?id=2607
Regarding the cancelation strategy from as_numer_denom4():
- First, it seems that my fears of non-cancelati
Comment #21 on issue 2607 by smi...@gmail.com: as_numer_denom() is too slow
http://code.google.com/p/sympy/issues/detail?id=2607
Your method 4 is the same as the one I tested out and didn't post results
for because it had more significant failures. Besides the one you noted
involving non-com
Comment #22 on issue 2607 by smi...@gmail.com: as_numer_denom() is too slow
http://code.google.com/p/sympy/issues/detail?id=2607
Would it make sense to pull out the gcd of the denoms?
>>> gcd([x*y**2, x*y, 3*x*y])
x*y
This slows things down for that step but there may be a speed up since
Comment #23 on issue 2607 by asmeurer: as_numer_denom() is too slow
http://code.google.com/p/sympy/issues/detail?id=2607
The expression with z is the one that causes he hyperexpand failure (I
don't know if you got that). I didn't dig down to see what caused the
Matrix error, but I suspect it
Comment #24 on issue 2607 by asmeurer: as_numer_denom() is too slow
http://code.google.com/p/sympy/issues/detail?id=2607
Would it make sense to pull out the gcd of the denoms?
Well, as I said above, the only way to tell is to construct some
expressions and benchmark it. But probably it wil
Comment #25 on issue 2607 by asmeurer: as_numer_denom() is too slow
http://code.google.com/p/sympy/issues/detail?id=2607
By the way, what's the best way to tell if an expression contains
non-commutatives? Call is_commutative on the entire expression?
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Comment #26 on issue 2607 by matt...@gmail.com: as_numer_denom() is too slow
http://code.google.com/p/sympy/issues/detail?id=2607
terms_gcd() also uses expand(). What you should look into is gcd_terms()
from exprtools.py. This is what together() uses and for a few examples I
tried, together(
Comment #27 on issue 2607 by matt...@gmail.com: as_numer_denom() is too slow
http://code.google.com/p/sympy/issues/detail?id=2607
Call is_commutative on the entire expression?
Yes (up to bugs).
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Comment #28 on issue 2607 by asmeurer: as_numer_denom() is too slow
http://code.google.com/p/sympy/issues/detail?id=2607
for a few examples I tried, together() is only a few percent slower than
as_numer_denom4()
Not quite:
In [4]: numers, denoms = zip(*((Symbol('n%d'%i),Symbol('d%d'%i)) for
Comment #4 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
As I already told Matthew, integrals code does not do any simplification.
Perhaps this should be changed (maybe calling cancel if an integral was
Comment #29 on issue 2607 by matt...@gmail.com: as_numer_denom() is too slow
http://code.google.com/p/sympy/issues/detail?id=2607
I'm not sure what I'm missing here, but:
In [1]: numers, denoms = zip(*((Symbol('n%d'%i),Symbol('d%d'%i)) for i in
xrange(50)))
In [2]: a = Add(*(n/d for n, d in
Comment #30 on issue 2607 by matt...@gmail.com: as_numer_denom() is too slow
http://code.google.com/p/sympy/issues/detail?id=2607
btw. I created a pull request fixing printing non-commutative objects
(https://github.com/sympy/sympy/pull/530).
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Comment #12 on issue 2618 by mrock...@gmail.com: Solve fails on expressions
containing finite symbols
http://code.google.com/p/sympy/issues/detail?id=2618
So a temporary workaround is posted above which has check_assumptions check
old assumptions as it checks the new assumptions.
Intended
Comment #3 on issue 2625 by alfr...@gmail.com: Imaginary unit in R,
ordering of complex numbers
http://code.google.com/p/sympy/issues/detail?id=2625
Actually, this is not even true. We should probably raise an error with
that, just as Python does
Lexicographic ordering is a natural choic
Comment #4 on issue 2625 by matt...@gmail.com: Imaginary unit in R,
ordering of complex numbers
http://code.google.com/p/sympy/issues/detail?id=2625
Just to note this: we use the following ordering when sorting expressions
(involving imaginary unit):
In [1]: sorted([2 + 3*I, 2 + I, I, -I,
Comment #8 on issue 1746 by matt...@gmail.com: Let bin/test --random accept
a seed input
http://code.google.com/p/sympy/issues/detail?id=1746
btw. bin/test already supports --seed option, e.g.:
$ bin/test --random --seed 68466956
== test process starts ===
executable: /usr/bin/pyth
Updates:
Status: WontFix
Owner: ---
Comment #2 on issue 1994 by matt...@gmail.com: repr(Matrix) does not give
re-executable string
http://code.google.com/p/sympy/issues/detail?id=1994
http://groups.google.com/group/sympy/browse_thread/thread/1ec2a3a2c92bb0f5/101ae11736d3f6b2
Comment #31 on issue 2607 by smi...@gmail.com: as_numer_denom() is too slow
http://code.google.com/p/sympy/issues/detail?id=2607
If a Horner representation is acceptable (like as_numer_denom3) then using
a binary approach to build the numer and denom is about 100X faster for the
all-differen
Comment #13 on issue 2618 by nicolas@gmail.com: Solve fails on
expressions containing finite symbols
http://code.google.com/p/sympy/issues/detail?id=2618
"Intended behavior of Q.is_bounded(x) seems to be that it returns False on
a standard Symbol if it has no information. This seems mat
Comment #14 on issue 2618 by mrock...@gmail.com: Solve fails on expressions
containing finite symbols
http://code.google.com/p/sympy/issues/detail?id=2618
In that case how about changing the False below to None?
sympy/assumptions/handlers/calculus.py:AskBoundedHandler.Symbol(expr,
assumptio
Comment #3 on issue 1732 by matt...@gmail.com: integrate(sin(x).series(x))
gives traceback
http://code.google.com/p/sympy/issues/detail?id=1732
Now it doesn't fail, it just return Integral():
In [1]: integrate(sin(x).series(x))
Out[1]:
⌠
⎮ ⎛ 3 5 ⎞
⎮ ⎜x x ⎟
Updates:
Status: Started
Labels: NeedsReview
Comment #1 on issue 2532 by asmeurer: Non-commutative inverses should not
print as fractions
http://code.google.com/p/sympy/issues/detail?id=2532
https://github.com/sympy/sympy/pull/530
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Comment #15 on issue 2618 by nicolas@gmail.com: Solve fails on
expressions containing finite symbols
http://code.google.com/p/sympy/issues/detail?id=2618
"Under what conditions should this return a False? I'm not very familiar
with new assumptions."
Neither am I.
It's at least clear t
Comment #5 on issue 2625 by asmeurer: Imaginary unit in R, ordering of
complex numbers
http://code.google.com/p/sympy/issues/detail?id=2625
You can define any number of total orderings on the set of complex numbers,
but none of these will be algebraic orders. This is true even if you limit
Updates:
Cc: ness...@googlemail.com
Comment #9 on issue 1746 by asmeurer: Let bin/test --random accept a seed
input
http://code.google.com/p/sympy/issues/detail?id=1746
Does that seed actually affect the random ordering, or is it just for
random tests?
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Comment #3 on issue 1994 by asmeurer: repr(Matrix) does not give
re-executable string
http://code.google.com/p/sympy/issues/detail?id=1994
Actually, it's interesting that str(Matrix) doesn't give a 1-D
representation like it does for all other SymPy objects.
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Comment #16 on issue 2618 by asmeurer: Solve fails on expressions
containing finite symbols
http://code.google.com/p/sympy/issues/detail?id=2618
The three way logic of the new and old assumptions are exactly the same.
It returns True if it's known to be True in all cases, False if it's kno
Comment #32 on issue 2607 by asmeurer: as_numer_denom() is too slow
http://code.google.com/p/sympy/issues/detail?id=2607
(those benchmarks are done with cache off, so maybe this is the
difference?).
Ah, that's it. Here's what I get with the cache off:
In [1]: numers, denoms = zip(*((Symbol
Comment #6 on issue 2625 by alfr...@gmail.com: Imaginary unit in R,
ordering of complex numbers
http://code.google.com/p/sympy/issues/detail?id=2625
Yeah, you can't make the complex numbers into an ordered field. That's
really only a problem if the comparison operator is required to be
co
Status: Accepted
Owner: asmeurer
CC: andy.ter...@gmail.com
Labels: Type-Defect Priority-High Milestone-Release0.7.2
New issue 2626 by asmeurer: Piecewise should use a different syntax
for "otherwise"
http://code.google.com/p/sympy/issues/detail?id=2626
This is something that's been bothering
Comment #7 on issue 2625 by asmeurer: Imaginary unit in R, ordering of
complex numbers
http://code.google.com/p/sympy/issues/detail?id=2625
That's really only a problem if the comparison operator is required to be
compatible with the field operations for other reasons.
It is a problem. T
Comment #5 on issue 2624 by asmeurer: Sympy 0.7.1 can't integrate Gaussians
http://code.google.com/p/sympy/issues/detail?id=2624
I'm not sure actually. Calling simplify() or even cancel() can make
integrate() slow. On the other hand, it seems like most of the time there
is a very simple ans
Comment #8 on issue 2625 by alfr...@gmail.com: Imaginary unit in R,
ordering of complex numbers
http://code.google.com/p/sympy/issues/detail?id=2625
That's the kind of thing I mean =). I am not really advocating either way.
I was more pointing out that OP's suggestion is both reasonable and
Comment #33 on issue 2607 by smi...@gmail.com: as_numer_denom() is too slow
http://code.google.com/p/sympy/issues/detail?id=2607
The unevaluated Mul is a very nice way to go unless you think that
`Mul(2,x, evaluate=False)/2` should not be `x`. If you don't like the final
touching iwth `+0` o
Comment #2 on issue 1459 by kemellie...@gmail.com: Summing symbolic
elements of a list
http://code.google.com/p/sympy/issues/detail?id=1459
I tried to run the commands from Ondrej, but they did not work. Did the
syntax change since then?
Thanks!
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Comment #34 on issue 2607 by candleb...@gmail.com: as_numer_denom() is too
slow
http://code.google.com/p/sympy/issues/detail?id=2607
Last thought...what about building up the multiplications from a binary
lookup of precomputed muls? e.g. if you had 8 terms x1-x8 then computed
x12=x1*x2, x
Comment #3 on issue 1459 by asmeurer: Summing symbolic elements of a list
http://code.google.com/p/sympy/issues/detail?id=1459
Yes, sum() was renamed to summation(), as it was overriding the builtin
function.
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Comment #1 on issue 2626 by matt...@gmail.com: Piecewise should use a
different syntax for "otherwise"
http://code.google.com/p/sympy/issues/detail?id=2626
Why not to simply allow Piecewise((expr_i, cond_i), ..., otherwise_expr)?
The last tuple seems redundant to me. We could also introduce
Comment #10 on issue 1746 by matt...@gmail.com: Let bin/test --random
accept a seed input
http://code.google.com/p/sympy/issues/detail?id=1746
It does affect the order:
$ bin/test --random
test process starts
executable: /usr/bin/python (2.6.6-final-0)
architecture: 64-bit
cache
Comment #6 on issue 2624 by matt...@gmail.com: Sympy 0.7.1 can't integrate
Gaussians
http://code.google.com/p/sympy/issues/detail?id=2624
We saw during the conference that the integrator can return very
complicated results and conditions for very simple cases. I would try to
use simplify(
Comment #35 on issue 2607 by asmeurer: 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?
Last thought...what about building up the multiplications from a b
Comment #2 on issue 2626 by asmeurer: Piecewise should use a different
syntax for "otherwise"
http://code.google.com/p/sympy/issues/detail?id=2626
Would it ever make sense for Piecewise to hold Tuples? If so, then we have
to wrap the last condition around a tuple. Otherwise, there is no w
Updates:
Status: Fixed
Comment #11 on issue 1746 by asmeurer: Let bin/test --random accept a seed
input
http://code.google.com/p/sympy/issues/detail?id=1746
Oh, I didn't realize that. This can be closed then.
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Comment #7 on issue 2624 by asmeurer: Sympy 0.7.1 can't integrate Gaussians
http://code.google.com/p/sympy/issues/detail?id=2624
1) Is there a chance to merge this branch before August 23rd?
If you help review, it can. :)
Already, there is a branch for review, which has some integration code
Comment #8 on issue 2624 by matt...@gmail.com: Sympy 0.7.1 can't integrate
Gaussians
http://code.google.com/p/sympy/issues/detail?id=2624
I can help review it. Yes, it's EuroSciPy.
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Comment #9 on issue 2624 by asmeurer: Sympy 0.7.1 can't integrate Gaussians
http://code.google.com/p/sympy/issues/detail?id=2624
By the way, that would indeed be very cool if we could do the integral from
that paper. The author wants to know how Mathematica does the integral.
But with Tom'
Updates:
Status: Fixed
Comment #9 on issue 516 by matt...@gmail.com: fix sys.path mess
http://code.google.com/p/sympy/issues/detail?id=516
Pyglet isn't a part of SymPy anymore, thus this issue isn't relevant
anymore (I mark this a Fixed although more precise status would be
Irrelevan
Updates:
Status: Fixed
Comment #22 on issue 925 by matt...@gmail.com: sys.path hacks, how to solve
it
http://code.google.com/p/sympy/issues/detail?id=925
Pyglet isn't a part of SymPy anymore, thus this issue isn't relevant
anymore (I mark this a Fixed although more precise status wo
Updates:
Status: Fixed
Comment #19 on issue 1946 by matt...@gmail.com: Recursion error with
SYMPY_GROUND_TYPES=sympy (caching problem)
http://code.google.com/p/sympy/issues/detail?id=1946
(No comment was entered for this change.)
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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
(No comment was entered for this change.)
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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
(No comment was entered for this change.)
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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 as_numer_de
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