Python 3.5 has the new @ operator, which has the same precedence as *.
You won't be able to use it in library code, but it could be useful as
one of the operators.

Aaron Meurer

On Tue, Oct 20, 2015 at 7:27 PM, Jason Moore <[email protected]> wrote:
>> So something will need to be added to the order of operations handler...
>> any idea on how to start on this?  Is that an error from decorators.py?
>
> This is fixed in Python and is not something we can change. My opinion is
> that overloading the operators like this at all is a bad idea in Python. I'd
> rather not have them there at all.
>
>
> Jason
> moorepants.info
> +01 530-601-9791
>
> On Tue, Oct 20, 2015 at 5:02 PM, Justin <[email protected]> wrote:
>>
>> Hi,
>>
>>>
>>> Something I'd really like to see changed in the vector module, is the
>>> dependence of these operators on the coordinate system. That is, you define
>>> the grad, curl, div operators for every coordinate system. This is not
>>> necessary, because base_scalars and base_vectors all contain a reference to
>>> their coordinate system instance.
>>>
>>> In SymPy, remember to access to parameters passed to the constructor with
>>> obj.args
>>
>>
>> So I did some playing around here and found that when a vector is
>> constructed with VectorAdd or VectorMul the system reference is lost in
>> obj.arg as you mentioned.  It's still there, just buried in tuples of
>> BaseScalar and BaseVector instances.  Should we add a system property to the
>> classes for basis dependent classes (basisindependent.py).
>>
>>>>
>>>> They both check out.  Next, something will have to be done for dot
>>>> products to check:
>>
>>
>> Dot products are fine... granted one puts parenthesis around them.  For
>> example:
>>
>> >>> r + r * dr & dr
>>
>> TypeError: r cannot be interpreted correctly
>>
>>
>> >>> r + r * (dr & dr)
>>
>> 2 * spherical_r
>>
>>
>> So something will need to be added to the order of operations handler...
>> any idea on how to start on this?  Is that an error from decorators.py?
>>
>>
>>>>
>>>> 3) grad(fg) --> laplacian(fg) = f laplacian(g) + 2 * grad(f) (dot)
>>>> grad(g) + g laplacian(f)
>>
>>
>> Whoops!
>>
>>>>
>>>> 4) curl(curl(A)) = grad(div(A)) - laplacian(A)
>>>
>>>
>>> Did you write some code? Did you post it on github?
>>
>>
>> Following Jason's post I fetched the branch from your repo and started
>> doing testing.  I haven't done much coding; I did add the laplacian to
>> functions.py. Should I push to you on a different branch or stop, fork and
>> continue?
>>
>>>
>>>>  I'll see if I can get a hold of him and see where he is at (or, if you
>>>> (Upabjojr) keep up with posts, message me on here).
>>>
>>>
>>> Hello there!
>>
>>
>> Hi back!
>>
>> So, I think for now I will focus on adding a system property to the
>> BasisDependent(Add)Mul classes and then debug the order of operations issue.
>> Let me know how you would like to handle the push (it should be fine to push
>> to you because I'm on a different branch and will have to submit a pull
>> request to you anyways).
>>
>>
>>
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