Add methods for floatmin/floatmax

[stillyslalom]

I ran into a missing method error when curve-fitting a vector of Measurements using Polynomials.jl:

julia> using Measurements, Polynomials, GenericLinearAlgebra

julia> fit([1, 2], (rand(2) .± rand(2)), 1)
ERROR: MethodError: no method matching floatmin(::Type{Measurement{Float64}})
Closest candidates are:
  floatmin() at float.jl:776
  floatmin(::Type{Float16}) at float.jl:738
  floatmin(::Type{Float32}) at float.jl:739

Fixed with

Base.floatmin(::Type{Measurement{T}}) where {T<:AbstractFloat} = floatmin(T)
Base.floatmax(::Type{Measurement{T}}) where {T<:AbstractFloat} = floatmax(T)

[giordano]

Sorry, I completely missed this pull request!

[codecov-commenter]

Codecov Report

Merging #72 into master will increase coverage by 0.01%.
The diff coverage is 100.00%.

@@            Coverage Diff             @@
##           master      #72      +/-   ##
==========================================
+ Coverage   95.50%   95.51%   +0.01%     
==========================================
  Files          12       12              
  Lines         556      558       +2     
==========================================
+ Hits          531      533       +2     
  Misses         25       25              

Impacted Files	Coverage Δ
src/math.jl	99.65% <100.00%> (+<0.01%)	⬆️

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[stillyslalom]

@giordano good to merge?

[giordano]

Yes, thank you so much!

[stillyslalom]

@giordano can you bump the version to make this available on a release?

[giordano]

Done, it's in v2.3.0 now!