I have also noticed this with the same Wild variables:
>>> print (exp(x)*exp(y)).match(c*d)
{d_: exp(y), c_: exp(x)}
>>> print (exp(x)*exp(y)*y).match(c*d)
{d_: y*exp(y), c_: exp(x)}
>>> print (x*exp(x)*exp(y)*y).match(c*d)
None
I think that I may need to write my own function to do this if I ca
On Jun 19, 6:42 pm, "Aaron S. Meurer" wrote:
> I have been working on getting separable equations in dsolve, and I
> noticed this:
> >>> c = Wild('c', exclude=[y])
> >>> d = Wild('d', exclude=[x])
> >>> (x).match(c*d)
> {c: x, d: 1}
> >>> (log(x)).match(c*d)
> {c: log(x), d: 1}
> >>> (x*
Fredrik Johansson wrote:
> On Sat, Jun 20, 2009 at 2:30 PM, Fabian Pedregosa wrote:
>> Hi Ronan!
>>
>>
>> Ronan Lamy wrote:
>>> I've noticed that the boolean functions Or and And in the new
>>> sympy.logic subpackage are defined to raise ValueError when called
>>> with 0 or 1 argument. However, th
On Sat, Jun 20, 2009 at 2:30 PM, Fabian Pedregosa wrote:
>
> Hi Ronan!
>
>
> Ronan Lamy wrote:
>> I've noticed that the boolean functions Or and And in the new
>> sympy.logic subpackage are defined to raise ValueError when called
>> with 0 or 1 argument. However, there are perfectly sound mathemat
Hi Ronan!
Ronan Lamy wrote:
> I've noticed that the boolean functions Or and And in the new
> sympy.logic subpackage are defined to raise ValueError when called
> with 0 or 1 argument. However, there are perfectly sound mathematical
> definitions for those cases:
> Or() -> False
> Or(A) -> A
> A
