Bug #1715: Numeric#arg for NaN is Inconsistent Across Versions http://redmine.ruby-lang.org/issues/show/1715 Author: Run Paint Run Run Status: Open, Priority: Low ruby -v: ruby 1.9.2dev (2009-07-01 trunk 23924) [i686-linux] Numeric#arg gives 0 for NaN on 1.9; Pi for NaN on 1.8: $ ruby -v -rcomplex -e 'p (0/0.0).arg' ruby 1.9.2dev (2009-07-01 trunk 23924) [i686-linux] -e:1: warning: (...) interpreted as grouped expression 0 $ ruby -v -e 'p (0/0.0).arg' ruby 1.9.2dev (2009-07-01 trunk 23924) [i686-linux] -e:1: warning: (...) interpreted as grouped expression 0 $ ruby8 -v -rcomplex -e 'p (0/0.0).arg' ruby 1.8.8dev (2009-07-01) [i686-linux] -e:1: warning: (...) interpreted as grouped expression 3.14159265358979
on 2009-07-02 17:27
on 2009-07-02 18:47
Issue #1715 has been updated by Run Paint Run Run.
The same inconsistency can be seen with #polar:
$ ruby -rcomplex -e 'p (0/0.00).polar'
[NaN, 0]
$ ruby86 -rcomplex -e 'p (0/0.00).polar'
[NaN, 3.14159265358979]
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http://redmine.ruby-lang.org/issues/show/1715
on 2009-07-03 02:25
Hi,
In message "Re: [ruby-core:24116] [Bug #1715] Numeric#arg for NaN is
Inconsistent Across Versions"
on Fri, 3 Jul 2009 00:26:44 +0900, Run Paint Run Run
<redmine@ruby-lang.org> writes:
|Numeric#arg gives 0 for NaN on 1.9; Pi for NaN on 1.8:
Both versions should return NaN for NaN.
matz.
on 2009-07-04 21:40
Yukihiro Matsumoto schrieb: > In message "Re: [ruby-core:24116] [Bug #1715] Numeric#arg for NaN is Inconsistent Across Versions" > on Fri, 3 Jul 2009 00:26:44 +0900, Run Paint Run Run <redmine@ruby-lang.org> writes: > > |Numeric#arg gives 0 for NaN on 1.9; Pi for NaN on 1.8: > > Both versions should return NaN for NaN. If we want to be precise in the Unknown, maybe both versions should give NaN for 0.arg and 0.0.arg (and Complex zero) as well? – Matthias
on 2009-07-04 22:08
Matthias Wächter wrote: > If we want to be precise in the Unknown, maybe both versions should give > NaN for 0.arg and 0.0.arg (and Complex zero) as well? and, while we are at it: require 'complex' p Complex.polar(0, 0/0.0) # => expected: Complex(0,0) p Complex.polar(0.0, 0/0.0) # => expected: Complex(0.0,0.0) but returns: Complex(NaN,NaN) Complex(NaN,NaN) – Matthias
on 2009-07-05 12:29
Issue #1715 has been updated by tadayoshi funaba. >> If we want to be precise in the Unknown, maybe both versions should give >> NaN for 0.arg and 0.0.arg (and Complex zero) as well? no. > but returns: > Complex(NaN,NaN) i hope not. complex try to preserve flonum status. Complex(-0.0, 0.0).polar #=> [0.0, 3.141592653589793] Complex(0.0, -0.0).polar #=> [0.0, -0.0] Complex(-0.0, -0.0).polar #=> [0.0, -3.141592653589793] Complex.polar(0.0, 3.141592653589793) #=> (-0.0+0.0i) Complex.polar(0.0, -0.0) #=> (0.0-0.0i) Complex.polar(0.0, -3.141592653589793) #=> (-0.0-0.0i) anyway, complex respects flonum's rules. ---------------------------------------- http://redmine.ruby-lang.org/issues/show/1715
on 2009-07-07 21:08
On 7/5/2009 12:28 PM, tadayoshi funaba wrote: >>> If we want to be precise in the Unknown, maybe both versions should give >>> NaN for 0.arg and 0.0.arg (and Complex zero) as well? > > no. > >> but returns: >> Complex(NaN,NaN) > > i hope not. What is it that you don’t hope? That Complex.polar(0.0,0/0.0) returns Complex(NaN,NaN), or that I think that this is wrong? > complex try to preserve flonum status. Which is completely nonsense. Since there is no _correct_ positive flonum status for +0.0 (as it is mixed with precise 0), there is really little use in -0.0, and it should not be used as an entry point for further calculations. Zero is zero and never the approximation, even if floats allow that as a result of a calculation to give a hint in very special situations. > Complex(-0.0, 0.0).polar #=> [0.0, 3.141592653589793] > Complex(0.0, -0.0).polar #=> [0.0, -0.0] > Complex(-0.0, -0.0).polar #=> [0.0, -3.141592653589793] That’s completely senseless: If you say Complex(-0.0, -0.0), you approach zero very explicitly from -135 degrees, why should it be -180 degrees then? Assuming approaching behavior for -0.0 and 0.0, all argument values would have to be something like PI/4 +- n*PI/2, so zero-length arrows in +-45 degrees and +-135 degrees then. > Complex.polar(0.0, 3.141592653589793) #=> (-0.0+0.0i) > Complex.polar(0.0, -0.0) #=> (0.0-0.0i) > Complex.polar(0.0, -3.141592653589793) #=> (-0.0-0.0i) The problem with this useless precision in the approaching range around zero is that you _have_ to make Complex.polar(0.0, 0/0.0) equal to Complex(NaN, NaN), just because you cannot decide between -0.0 and +0.0, especially their various combinations in the complex layer! Really senseless, sorry, it should be zero as it is, and zero is 0.0 (vice versa). Just to repeat myself: The difference between +0 and -0 is very esoteric and incompletely implemented in IEEE 754, as there is no explicit precise 0 if you want to use 0.0 as +0.0 and -0.0 as its negative. The use of -0 is not advised in general calculation but in very special situations, especially hard to apply to the complex numbers. In fact, whenever 0.0 is used, instead of assuming it to mean +0.0, it is precisely zero, except for the cases specified in IEEE 754 to get positive or negative Infinity. Clearly, the argument of 0 is NaN, and polar should equally know how to handle NaN arguments for a 0.0 distance. Similarly, if you invert 0.0, you should get NaN because you cannot decide between +Infinity or -Infinity. In addition to the missing precise zero (Q: is it missing at all?), IEEE 754 should define a unknown Infinity, something that could be either positive or negative. > anyway, complex respects flonum's rules. For no practical reason except underflow and infinity handling which are special cases anyway. Other examples where standard formulae don’t help much: a=Complex(1/0.0,3) b=Complex(1/0.0,-5) p a*a # => Complex(Infinity, Infinity), expected: Complex(Infinity, 0.0) p a*b # => Complex(Infinity, NaN), expected: Complex(Infinity, 0.0) p a/b # => Complex(NaN, NaN), expected: Complex(NaN, 0.0) here, you will see that the imaginary part approaches zero quicker than the real part, so while the latter two examples are at least covered in the result given by ruby, the first is clearly wrong. – Matthias
on 2009-07-08 15:06
Issue #1715 has been updated by tadayoshi funaba. i'm nothing special. so far, my policy (maybe entirely ruby too, i believe) is don't bother calculation of flonum. that's all. basically, the result depends machine's representation and libm (atan2 etc). i don't know detail, but kahan's proposal was accepted widely. see about phase of cltl2 and angle of r6rs. see also carg(3) and atan2(3). zero is zero, right, but sign is preserved. 1.0/Inf #=> 0.0 (-1.0)/Inf #=> -0.0 Complex(0.0,1.0)/Inf #=> (0.0+0.0i) Complex(0.0,-1.0)/Inf #=> (0.0-0.0i) in ruby, if both NaN * 0 and NaN * 0.0 return zero and don't distinguish -0.0 and +0.0, you have a chance a little, i think. so far, i don't think Complex should wipe the given NaN out. i don't think 0.arg should return NaN. i'm going to follow common sense in this world, not nonsense. ---------------------------------------- http://redmine.ruby-lang.org/issues/show/1715
on 2009-07-08 16:34
Issue #1715 has been updated by tadayoshi funaba.
you wrote:
> p a*a # => Complex(Infinity, Infinity), expected: Complex(Infinity, 0.0)
i tested some implementations.
gosh: +inf.0+inf.0i
guile: +inf.0+inf.0i
larceny: +inf.0+inf.0i
mzscheme: +inf.0+inf.0i
ypsilon: +inf.0+inf.0i
gambit: +inf.0+inf.0i
gcc: +inf+inf
python3: (inf+infj)
perl5: inf+infi
ghc: Infinity :+ Infinity
hugs: inf :+ inf
octave: Inf + Infi
squeak: Infinity + Infinity
your opinion seems to be very very minority.
and i've never seen arg(0) return NaN.
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http://redmine.ruby-lang.org/issues/show/1715
on 2009-07-08 23:04
tadayoshi funaba wrote: > gambit: +inf.0+inf.0i > gcc: +inf+inf > python3: (inf+infj) > perl5: inf+infi > ghc: Infinity :+ Infinity > hugs: inf :+ inf > octave: Inf + Infi > squeak: Infinity + Infinity > > your opinion seems to be very very minority. You are right, my fault. while it _is_ Complex(Infinity, Infinity), it would have an arg of 0.0, though. :-) > and i've never seen arg(0) return NaN. That’s pure math. I think folks hate to see NaNs (and the associated traps or exceptions in some languages) in trivial examples like that, but NaN would be correct. Still, most people set it to some reasonable value like 0.0 by convention, but not by math. In any case, Complex.polar(0.0, NaN) must return Complex(0.0, 0.0) instead of Complex(NaN, NaN). Thanks, – Matthias
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