I noticed this issue with simplify function.
Is this possible?
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On Mon, Nov 23, 2015 at 10:31 AM, Paul Royik wrote:
> I noticed this issue with simplify function.
> Is this possible?
It's possible, e.g. maybe you use a different Python or SymPy
versions, perhaps you executed things differently, or perhaps there is
some hardware difference that causes Python t
Python 2.7, last version of sympy.
Code is absolutely the same.
How to detect hardware difference? How to clear cache?
What info should I post?
On Monday, November 23, 2015 at 7:42:58 PM UTC+2, Ondřej Čertík wrote:
>
> On Mon, Nov 23, 2015 at 10:31 AM, Paul Royik > wrote:
> > I noticed this is
Is it running the the exact same hardware?
Cache is clear when you start it a script. You can also clear it by hand:
https://github.com/sympy/sympy/wiki/Faq#how-do-i-clear-the-cache
Send a minimal script that hangs, and we can try it on different
computers and see if we can reproduce the issue.
minimal script is simplify(3*b**(1/Integer(3))-3, fu=True)
On Monday, November 23, 2015 at 8:53:45 PM UTC+2, Ondřej Čertík wrote:
>
> Is it running the the exact same hardware?
>
> Cache is clear when you start it a script. You can also clear it by hand:
>
> https://github.com/sympy/sympy/wiki/F
I had to also execute var("b"):
In [1]: var("b")
Out[1]: b
In [2]: simplify(3*b**(1/Integer(3))-3, fu=True)
Out[2]:
3 ___
3⋅╲╱ b - 3
It return immediately. Can you run this on your remote machine, let it
run for a while in an IPython notebook and then hit ctrl-c? It should
print a stacktrace
On Mon, Nov 23, 2015 at 12:01 PM, Ondřej Čertík wrote:
> I had to also execute var("b"):
>
> In [1]: var("b")
> Out[1]: b
>
> In [2]: simplify(3*b**(1/Integer(3))-3, fu=True)
> Out[2]:
> 3 ___
> 3⋅╲╱ b - 3
>
>
> It return immediately. Can you run this on your remote machine, let it
> run for a
What are the different results that you get? And how is b defined (are
there any assumptions on it)?
Aaron Meurer
On Mon, Nov 23, 2015 at 12:56 PM, Paul Royik wrote:
> minimal script is simplify(3*b**(1/Integer(3))-3, fu=True)
>
> On Monday, November 23, 2015 at 8:53:45 PM UTC+2, Ondřej Čertík w
(note, I am not on the sage list or gms list, so this probably won't
make it there unless someone forwards it)
SymPy's limit primarily uses the Gruntz algorithm, which is fairly
capable. I'm not an expert on it, so others will be able to comment in
more detail, but as far as I know, it's mostly re
On Mon, Nov 23, 2015 at 12:20 PM, Dima Pasechnik wrote:
>
>
> On Monday, 23 November 2015 00:43:02 UTC, William wrote:
>>
>> This definitely looks like a bug. In the meantime, a workaround is to
>> use sympy:
>>
>> sage: var('m a0')
>> (m, a0)
>> sage: x=2/5*((3/4)^m - 1)*(a0 - 100) + 1/5*(3*
Hello,
I am currently developping a python program to tranform a symbolic
expression computed by `sympy` into a `numpy` array containing all the
numerical values. I instantiate the symbolic expression with the
`sympy.lambdify` function.
Some of the symbolic expressions contain Bessel function
Found code that doesn't work:
simplify(parse_expr('3*b**(333/1000) - 3'),fu=True)
This hangs on remote.
When I hit Ctrl+C, it gives
/home/simamura/lib/python2.7/sympy/polys/polytools.pyc in cancel(f, *gens,
**args)
6228
6229 try:
-> 6230 (F, G), opt = p
On my local machine I got overflowerror that is silently ignored.
On Monday, November 23, 2015 at 9:03:10 PM UTC+2, Aaron Meurer wrote:
>
> What are the different results that you get? And how is b defined (are
> there any assumptions on it)?
>
> Aaron Meurer
>
> On Mon, Nov 23, 2015 at 12:56 P
I'm trying to create a subclass of Symbol that returns a subclass of
Function when called. The only reason is to customize the is_commutative
property so that an expression like P(A)/P(Eq(x,1)) will output with the
P(x=1) in the denominator rather than as P^-1(x=1), which might confuse my
stu
On Mon, Nov 23, 2015 at 12:17 PM, Dima Pasechnik wrote:
>
>
> On Monday, 23 November 2015 19:38:39 UTC, Ondrej Certik wrote:
>>
>> On Mon, Nov 23, 2015 at 12:20 PM, Dima Pasechnik wrote:
>> >
>> >
>> > On Monday, 23 November 2015 00:43:02 UTC, William wrote:
>> >>
>> >> This definitely looks like
It's likely a memory difference. SymPy is trying to use a dense
representation to represent a degree 333 polynomial, i.e.,
create a list with 333 elements. This is going to fail no
matter what machine you run it on. This is really an issue with SymPy
(it should be using a sp
On my local machine I got OverflowError can convert to python long...
On Monday, November 23, 2015 at 10:46:44 PM UTC+2, Aaron Meurer wrote:
>
> It's likely a memory difference. SymPy is trying to use a dense
> representation to represent a degree 333 polynomial, i.e.,
> create a lis
Function("P") is just syntactic sugar. As you can see from the
constructor, it's the same as UndefinedFunction("P"). If you want to
customize the behavior, you should subclass UndefinedFunction.
However, in this case, it looks like UndefinedFunction("P",
is_commutative=True) works.
Aaron Meurer
On Mon, Nov 23, 2015 at 1:38 PM, Emile59 wrote:
> Hello,
>
> I am currently developping a python program to tranform a symbolic
> expression computed by `sympy` into a `numpy` array containing all the
> numerical values. I instantiate the symbolic expression with the
> `sympy.lambdify` function.
>
Yeah, I was stuck in a rut so that it took me until I stepped away for a
bit to realize the same conclusion!
I didn't realize I could just add the is_commutative flag to
UndefinedFunction, so I like your solution better than mine, where I had
ended up subclassing AppliedUndef (as that is the su
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