Status: Accepted
Owner:
Labels: Type-Defect Priority-Medium NeedsReview smichr
New issue 3114 by smi...@gmail.com: x._random() returns None if
x.is_positive is True
http://code.google.com/p/sympy/issues/detail?id=3114
This is fixed in https://github.com/sympy/sympy/pull/1085
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Comment #1 on issue 3109 by smi...@gmail.com: sqrt(exp(4*a)) != exp(2*a)
http://code.google.com/p/sympy/issues/detail?id=3109
http://en.wikipedia.org/wiki/Exponentiation#Complex_powers_of_positive_real_numbers
says "the
identity (b**z)**u = b**(z*u) [where b is a positive real] is
valid...
Comment #14 on issue 2571 by smi...@gmail.com: Regression in Integral.subs
http://code.google.com/p/sympy/issues/detail?id=2571
Just a footnote here: xreplace is now available
Integral((exp(x*log(x))*log(x)), x).xreplace({exp(x*log(x)): x**x})
Integral(x**x*log(x), x)
With it, you can shoot
Comment #4 on issue 3106 by asmeu...@gmail.com: zoo*zoo == nan
http://code.google.com/p/sympy/issues/detail?id=3106
That is to say, what you think they should be is wrong. 0 + 0*I should be
0, which is not the same as zoo. -zoo == zoo (because it represents *all*
points at infinity in the co
Comment #15 on issue 2571 by asmeu...@gmail.com: Regression in Integral.subs
http://code.google.com/p/sympy/issues/detail?id=2571
I still think subs should just do this. Substituting terms inside of
integrals is very useful, and this limitation is artificial and unnecessary.
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Comment #16 on issue 2571 by asmeu...@gmail.com: Regression in Integral.subs
http://code.google.com/p/sympy/issues/detail?id=2571
That is to say, even for definite integrals it should work. I found myself
wanting to do this quite a bit a while ago when working with solving PDEs
with integral
Comment #4 on issue 2566 by asmeu...@gmail.com: Equating Sums shouldn't
depend on dummy variables
http://code.google.com/p/sympy/issues/detail?id=2566
I'm increasingly against converting Symbols to Dummys internally. This
makes it impossible to do substitutions on the arguments. For examp
Comment #13 on issue 2440 by asmeu...@gmail.com: Equal Integrals compare
different when using different variables
http://code.google.com/p/sympy/issues/detail?id=2440
I think that perhaps they should compare unequal. Making them equal would
be inconvenient. For example, pretend for a mome
Comment #8 on issue 3025 by ronan.l...@gmail.com: Piecewise evaluate=False
does not work when conditions are boolean
http://code.google.com/p/sympy/issues/detail?id=3025
Let's use this to discuss what evaluate=False *should* do.
#6 describes current behaviour in master. I think that it's wro
Updates:
Labels: -Priority-Medium Priority-High
Comment #9 on issue 3025 by asmeu...@gmail.com: Piecewise evaluate=False
does not work when conditions are boolean
http://code.google.com/p/sympy/issues/detail?id=3025
To summarize a discussion from the pull request:
Piecewise((x, x > 1
Status: New
Owner:
Labels: Type-Defect Priority-Medium
New issue 3115 by nils...@gmail.com: ImportError: No module named pretty
http://code.google.com/p/sympy/issues/detail?id=3115
nwagner@linux-itfv:~/git/sympy> python setup.py install --prefix=$HOME/local
Traceback (most recent call last)
Comment #3 on issue 688 by vlada.pe...@gmail.com: generate documentation
from tests
http://code.google.com/p/sympy/issues/detail?id=688
Could we use IPython notebooks somehow for this? I think we already agreed
that we are going to include them.
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Status: Accepted
Owner:
Labels: Type-Defect Priority-Medium Printing
New issue 3116 by asmeu...@gmail.com: init_printing() should recalculate
terminal width
http://code.google.com/p/sympy/issues/detail?id=3116
If I make my terminal wider (i.e., change the number of columns) and
re-call
Status: Accepted
Owner:
Labels: Type-Defect Priority-Medium Printing
New issue 3117 by asmeu...@gmail.com: -+inf with pretty printer and
Float('inf')
http://code.google.com/p/sympy/issues/detail?id=3117
In [136]: print f
alpha*(exp(x - 1) - 1)/(exp(x) - 1)
In [137]: print f.subs(alpha,
Comment #14 on issue 2440 by ronan.l...@gmail.com: Equal Integrals compare
different when using different variables
http://code.google.com/p/sympy/issues/detail?id=2440
The hole in your argument is that if Integral(exp(-x**2), (x, -oo, oo)) !=
Integral(exp(-y**2), (y, -oo, oo)), you can nev
Comment #5 on issue 2566 by ronan.l...@gmail.com: Equating Sums shouldn't
depend on dummy variables
http://code.google.com/p/sympy/issues/detail?id=2566
The traceback is because you used a set instead of a dict.
I wonder what result you expected. Lambda(1/y, 2/y) doesn't make sense and
if
Comment #10 on issue 3025 by ronan.l...@gmail.com: Piecewise evaluate=False
does not work when conditions are boolean
http://code.google.com/p/sympy/issues/detail?id=3025
I'd rather base the discussion on the existing behaviour (and ignore the
difference between evaluating to nan and raisin
Comment #11 on issue 3025 by sean.v@gmail.com: Piecewise evaluate=False
does not work when conditions are boolean
http://code.google.com/p/sympy/issues/detail?id=3025
Ronan, what I understand as the rationalization of that behavior is if a
boolean condition is encountered, it is because
Comment #17 on issue 2571 by smi...@gmail.com: Regression in Integral.subs
http://code.google.com/p/sympy/issues/detail?id=2571
Why not just do
i = my_integral
inew = i.func(i.function.subs(old, new), i.limits)
Otherwise you have to come up with an acceptable criteria to govern the
rules of th
Comment #18 on issue 2571 by asmeu...@gmail.com: Regression in Integral.subs
http://code.google.com/p/sympy/issues/detail?id=2571
I think we already discussed this. That doesn't work so well if the
integral is nested inside an expression.
Let's just do the substitution if it works, and raise
Comment #3 on issue 3108 by smi...@gmail.com: wrong code in
Polygon.arbitrary_point
http://code.google.com/p/sympy/issues/detail?id=3108
Is there ever a case where, for this geometry case, this is not true? (i.e.
what's the failing situation?)
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Comment #19 on issue 2571 by smi...@gmail.com: Regression in Integral.subs
http://code.google.com/p/sympy/issues/detail?id=2571
Regarding the nesting...that's where xreplace can be used where the
transform acts on all Integrals that are in the expression. If you look at
how Ronan implemented
Comment #20 on issue 2571 by asmeu...@gmail.com: Regression in Integral.subs
http://code.google.com/p/sympy/issues/detail?id=2571
I guess I would expect that to give Integral(y, (y, y**2)).
I get that the user might expect it to do something smart with a change of
variables (e.g., with Integr
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