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julia> nextfloat(0.)
5.0e-324
julia> prevfloat(0.)
NaN
julia> z = BigFloat(0.)
0e+00 with 256 bits of precision
julia> nextfloat(z)
2.382564904887951073216169781732674520415196125559239787955023752600945386104324e-323228497 with 256 bits of precision
julia> prevfloat(z)
-2.382564904887951073216169781732674520415196125559239787955023752600945386104324e-323228497 with 256 bits of precision
julia> nextfloat(-1.)
-1.0000000000000002
julia> prevfloat(-1.)
-0.9999999999999999
julia> z = BigFloat(-1.)
-1e+00 with 256 bits of precision
julia> nextfloat(z)
-9.999999999999999999999999999999999999999999999999999999999999999999999999999914e-01 with 256 bits of precision
julia> prevfloat(z)
-1.000000000000000000000000000000000000000000000000000000000000000000000000000017e+00 with 256 bits of precision
The text was updated successfully, but these errors were encountered:
* upstream/master: (53 commits)
edit embedding chapter
formatting fixes
FixJuliaLang#5056
more consitent/useful description of predicate in ie all()
NEWS for JuliaLang#4042
Add sparse matvec to perf benchmark (JuliaLang#4707)
Use warn_once instead of warn (JuliaLang#5038)
Use warn() instead of println in base/sprase/sparsematrix.jl
allow scale(b,A) or scale(A,b) when b is a scalar as well as a vector, don't restrict scale unnecessarily to arrays of numbers (e.g. scaling arrays of arrays should work), and improve documentation for scale\!
Added section about memory management
added negative bitarray rolling
More accurate linspace for types with greater precision than Float64
add realmin realmax for BigFloat
fix eps(realmax), add typemin and typemax for BigFloat
fixJuliaLang#5025, ordering used by nextfloat/prevfloat
roll back on errors during type definitions. fixesJuliaLang#5009
improve method signature errors. fixesJuliaLang#5018
update juliadoc
add more asserts for casts
Fix segfaulting on strstr() failure
...
The text was updated successfully, but these errors were encountered: