Comment #6 on issue 2221 by mrock...@gmail.com: hstack() and vstack()
methods for Matrix
http://code.google.com/p/sympy/issues/detail?id=2221
BlockMatrix is now capable of reproducing this functionality.
In [18]: A = eye(3)
In [19]: B = zeros(3,3)
In [20]: A = ImmutableMatrix(A)
In [21]: B
Status: Accepted
Owner:
Labels: Type-Defect Priority-High Milestone-Release0.7.2
New issue 3099 by ronan.l...@gmail.com: bin/test sympy/core is very slow
http://code.google.com/p/sympy/issues/detail?id=3099
Running the tests on sympy/core/ now takes at least 3 times longer than
just a few
Comment #1 on issue 3099 by ronan.l...@gmail.com: bin/test sympy/core is
very slow
http://code.google.com/p/sympy/issues/detail?id=3099
c1440868c545d2d43b789b48858de0f1b4d70c22 is the first bad commit
commit c1440868c545d2d43b789b48858de0f1b4d70c22
Author: Chris Smith
Date: Wed Feb 22 19:5
Comment #11 on issue 3090 by asmeu...@gmail.com: Create ContinuousDensity
class
http://code.google.com/p/sympy/issues/detail?id=3090
So there should be two options, check and normalize. check would be True
by default, which means that it checks if the function normalizes to 1, and
raises
Comment #20 on issue 388 by asmeu...@gmail.com: sympification of matrices,
Matrix is not Basic, creation of MutableBasic
http://code.google.com/p/sympy/issues/detail?id=388
Matrix still can't be sympified:
In [2]: sympify(Matrix([[1, 2], [3, 4]]))
---
Updates:
Summary: Expr.is_constant() is very slow in some cases
Cc: smi...@gmail.com
Comment #2 on issue 3099 by ronan.l...@gmail.com: Expr.is_constant() is
very slow in some cases
http://code.google.com/p/sympy/issues/detail?id=3099
The problem is that is_constant() does nume
Comment #7 on issue 3086 by smi...@gmail.com: round() function overrides
built-in
http://code.google.com/p/sympy/issues/detail?id=3086
The argument there had nothing to do with overhead.
Regarding overhead, see our brief discussion about point 4 at
http://code.google.com/p/sympy/issues/d
Comment #3 on issue 3099 by smi...@gmail.com: Expr.is_constant() is very
slow in some cases
http://code.google.com/p/sympy/issues/detail?id=3099
Here it takes 22 out of the 41 seconds to run the core suite. This, and
the integrals suite (180 seconds out of 800 for the total test suite) and
Updates:
Status: Duplicate
Blockedon: -2712
Comment #5 on issue 2908 by smi...@gmail.com: simplification of polygamma
needed
http://code.google.com/p/sympy/issues/detail?id=2908
(No comment was entered for this change.)
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Issue 2712: Merge gsoc-2 and gsoc-3
http://code.google.com/p/sympy/issues/detail?id=2712
This issue is no longer blocking issue 2908.
See http://code.google.com/p/sympy/issues/detail?id=2908
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Updates:
Blockedon: -2712
Comment #6 on issue 2959 by smi...@gmail.com: Implement fresnel integrals
http://code.google.com/p/sympy/issues/detail?id=2959
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Issue 2712: Merge gsoc-2 and gsoc-3
http://code.google.com/p/sympy/issues/detail?id=2712
This issue is no longer blocking issue 2959.
See http://code.google.com/p/sympy/issues/detail?id=2959
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Issue 2712: Merge gsoc-2 and gsoc-3
http://code.google.com/p/sympy/issues/detail?id=2712
This issue is no longer blocking issue 2915.
See http://code.google.com/p/sympy/issues/detail?id=2915
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Updates:
Blockedon: -2712
Comment #2 on issue 2915 by smi...@gmail.com: Improve meijerint heuristics
http://code.google.com/p/sympy/issues/detail?id=2915
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Issue 2712: Merge gsoc-2 and gsoc-3
http://code.google.com/p/sympy/issues/detail?id=2712
This issue is no longer blocking issue 2917.
See http://code.google.com/p/sympy/issues/detail?id=2917
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Updates:
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Comment #3 on issue 2917 by smi...@gmail.com: Simplification of bessel
functions
http://code.google.com/p/sympy/issues/detail?id=2917
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Updates:
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Comment #1 on issue 2914 by smi...@gmail.com: Pretty printing for lerchphi,
polylog
http://code.google.com/p/sympy/issues/detail?id=2914
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Issue 2712: Merge gsoc-2 and gsoc-3
http://code.google.com/p/sympy/issues/detail?id=2712
This issue is no longer blocking issue 2914.
See http://code.google.com/p/sympy/issues/detail?id=2914
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Issue 2712: Merge gsoc-2 and gsoc-3
http://code.google.com/p/sympy/issues/detail?id=2712
This issue is no longer blocking issue 2714.
See http://code.google.com/p/sympy/issues/detail?id=2714
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Updates:
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Comment #2 on issue 2714 by smi...@gmail.com: Use general rules in integral
transforms code
http://code.google.com/p/sympy/issues/detail?id=2714
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Comment #4 on issue 2713 by smi...@gmail.com: meijerint should use partial
fractions
http://code.google.com/p/sympy/issues/detail?id=2713
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Comment #2 on issue 2958 by smi...@gmail.com: Implement series expansions
error_functions.py
http://code.google.com/p/sympy/issues/detail?id=2958
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Comment #2 on issue 2903 by smi...@gmail.com: Better documentation for
g-function formulae
http://code.google.com/p/sympy/issues/detail?id=2903
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Comment #4 on issue 3099 by asmeu...@gmail.com: Expr.is_constant() is very
slow in some cases
http://code.google.com/p/sympy/issues/detail?id=3099
So is it just some new tests that are slow, or is the core itself slower?
If it's the former, let's either mark things with @slow or find faste
Comment #12 on issue 3090 by nathan.f...@gmail.com: Create
ContinuousDensity class
http://code.google.com/p/sympy/issues/detail?id=3090
I just realized that these check-normalize options would be useful for
general probability density/mass functions. What about a general
`ProbabilityFunct
Comment #5 on issue 3099 by smi...@gmail.com: Expr.is_constant() is very
slow in some cases
http://code.google.com/p/sympy/issues/detail?id=3099
If you want to replace it with a faster XFAILing test you could use:
assert simplify(x*polygamma(0, x + 1) - x*polygamma(0, x + 2) +
polygamma(0, x
Comment #5 on issue 3014 by asmeu...@gmail.com: mathml printing doctest
failure
http://code.google.com/p/sympy/issues/detail?id=3014
The problem might be because there are two newlines in the output, one from
the mathml printer and one from the print statement. At least, that would
expla
Comment #13 on issue 3090 by mrock...@gmail.com: Create ContinuousDensity
class
http://code.google.com/p/sympy/issues/detail?id=3090
Unifying the various things that can come out of a Density call sounds like
a good idea. Currently this function produces completely independent types
depen
Comment #14 on issue 3090 by nathan.f...@gmail.com: Create
ContinuousDensity class
http://code.google.com/p/sympy/issues/detail?id=3090
My work so far is here:
https://github.com/tesserahub/sympy/tree/DistributionFunction
Right now, I can't turn the dicts used for finite rv densities into a
Updates:
Summary: Should Heaviside raise ValueError if the argument is not real?
Comment #1 on issue 3098 by asmeu...@gmail.com: Should Heaviside raise
ValueError if the argument is not real?
http://code.google.com/p/sympy/issues/detail?id=3098
Maple gives an error:
Heaviside(1 + I)
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