Comment #48 on issue 2482 by skirpic...@gmail.com: Stop bundling mpmath
http://code.google.com/p/sympy/issues/detail?id=2482
it does break with various earlier versions of mpmath
We can add workarounds, as for any other library.
So I think it should be quite easy to keep a copy of a working
Updates:
Status: Fixed
Comment #3 on issue 2019 by skirpic...@gmail.com: Add new (assumptions)
fact about algebraic elements.
http://code.google.com/p/sympy/issues/detail?id=2019
(No comment was entered for this change.)
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Comment #10 on issue 3222 by supp...@mooncoder.com: Memory problems with
the cache
http://code.google.com/p/sympy/issues/detail?id=3222
For python 2.6+, there is:
import sys
sys.getsizeof(2)
12
sys.getsizeof(2.0)
16
sys.getsizeof([1,2,3])
48
sys.getsizeof([1,2,3.0])
48
Updates:
Status: Started
Comment #7 on issue 3861 by julien.r...@gmail.com: Change the default latex
matrix type
http://code.google.com/p/sympy/issues/detail?id=3861
https://github.com/sympy/sympy/pull/2195
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Comment #11 on issue 3222 by asmeu...@gmail.com: Memory problems with the
cache
http://code.google.com/p/sympy/issues/detail?id=3222
But does it work on objects? That's what's stored in the cache: SymPy
objects.
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Comment #49 on issue 2482 by asmeu...@gmail.com: Stop bundling mpmath
http://code.google.com/p/sympy/issues/detail?id=2482
What do you mean by mpmath is not a quite stable?
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You
Comment #50 on issue 2482 by skirpic...@gmail.com: Stop bundling mpmath
http://code.google.com/p/sympy/issues/detail?id=2482
What do you mean by mpmath is not a quite stable?
http://code.google.com/p/sympy/issues/detail?id=2482#c30
--8--
First, I do not 100% agree with the statement that
Comment #12 on issue 3222 by supp...@mooncoder.com: Memory problems with
the cache
http://code.google.com/p/sympy/issues/detail?id=3222
Looks like it is a shallow sizeof. But even if it worked with objects,
this is not the right way to go IMO. How much would you expect the cache to
be
Comment #51 on issue 2482 by fredrik@gmail.com: Stop bundling mpmath
http://code.google.com/p/sympy/issues/detail?id=2482
I can essentially guarantee that there will be no backwards incompatible
*interface* changes in mpmath.
As for bugs, it would obviously help to continue using
Comment #52 on issue 2482 by ondrej.c...@gmail.com: Stop bundling mpmath
http://code.google.com/p/sympy/issues/detail?id=2482
Arguments against unbundling:
* more complex installation *everywhere*
* harder development and bug triaging in sympy: suddenly sympy git hash is
not enough, you have
Dummy is insufficient to give a visually distinguished symbol as I
indicated. Getting a results that looks like `{x: _t + _t + 2}`. But
actually, if I'm not mistaken the coefficients will always be integers so
at worst one might get {_t: _t + 2} where the dict key is the original
Symbol and the
Unnamed dummies print with some numeric index, right?
Anyway, I very strongly feel that arguments about printing should be
considered only when there are no other concerns: SymPy is not a
typesetting library.
The other concerns:
- assumptions: If we were going to solve one simple equation, yes
Worth pointing out something here. We are talking about the internal
API. The external, user-level API will be to just use solve, with
integer Symbols. The user-level API needs to be able to handle any
kind of parametrized solution, like solve(cos(x)) or
solve(underdetermined_linear_system) and is
Saurabh,
On Wed, Jun 19, 2013 at 7:47 PM, Saurabh Jha saurabh.j...@gmail.com wrote:
Hi,
I(with the help of Chris) have recently merged in two functions that
convert Dictionary of Keys(DOK) representation to Compressed Row
Format(CSR) format and vice versa. [1].
Excellent, thanks!
Since I
Hi,
Since I don't actually know much about the applications of sparse
matrices in domains like Computer Science, Physics, Mathematics
etc., I wanted to discuss following issues with people--
1. What are the applications of Sparse Matrices.
Sparse matrices have many application in
Hello everyone,
I was trying to fix an error which arises due to the missing attributes in
MutableMatrix. Eg Matrix.eye(3).is_Piecewise fails but
S(Matrix.eye(3)).is_Piecewise
returns false which doesn't mean that S() turns it into an ImmutableMatrix.
These are attributes which are
One of the solutions which Christopher Smith suggested was to define a
BasicBase class in basic.py and migrate these attributes to that class.
My thinking here is to allow non-Basic entities (like Matrix) that may be
encountered (e.g. in solve) to at least have the is_Foo attributes at least
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