Changelog:
1.  Better conversions between static/dynamic dimensions and units
2.  Added support for `dstrip(u"...", q)`
3.  Added suport for `real(q::LinmapQuant)`

Current Tasks:
1.  Add "Statistics" extension
    -   mean(m), std(m), var(m), cov(m), cor(m) #Should have special DimsMap operations
2.  hcat(v::AbstractVector{StaticDims}...) should produce a LinmapQuant with u_out = u""
3.  still need to implement vcat
4.  Look at UnitfulLinearAlgebra, and UnitfulTensors for possible implementation improvements

Backlog:
1.  Add plot recipes
    -   https://github.com/JuliaPlots/Plots.jl/blob/v2/PlotsBase/ext/UnitfulExt.jl
2.  Add interactive unit functionality
    -   unit_index() (produces dict that lists all units for every dimension)
    -   simplify(q::Quantity{T,AbstractDimLike}) 
        -   Lists all standard SI units, performs a greedy search to make units as terse as possible
            e.g. simplify(1.0u"(m^2*kg)/s^3") = 1 kW
        -   Only works if all unit powers are integers


#Example of #3 is shown below

julia> using FlexUnits, .UnitRegistry

julia> (x, y, z) = 1u"m/s", 1u"kg", 1u"kW"
(1.0 m/s, 1.0 kg, 1000.0 (m² kg)/s³)

julia> T = Union{typeof(x),typeof(y), typeof(z)}
Union{Quantity{Float64, StaticDims{m/s}}, Quantity{Float64, StaticDims{kg}}, Quantity{Float64, StaticDims{(m² kg)/s³}}}

julia> v = T[x,y,z]
3-element Vector{Union{Quantity{Float64, StaticDims{m/s}}, Quantity{Float64, StaticDims{kg}}, Quantity{Float64, StaticDims{(m² kg)/s³}}}}:
 1.0 m/s
 1.0 kg
 1000.0 (m² kg)/s³

julia> map(x->x*2, v)
3-element Vector{Quantity{Float64}}:
 2.0 m/s
 2.0 kg
 2000.0 (m² kg)/s³

julia> map(x->x*2, [x,y,z])
3-element Vector{Quantity{Float64, Dimensions{FixRat32}}}:
 2.0 m/s
 2.0 kg
 2000.0 (m² kg)/s³

julia> collect(map(x->x*2, (x,y,z)))
3-element Vector{Quantity{Float64}}:
 2.0 m/s
 2.0 kg
 2000.0 (m² kg)/s³

julia> vcat((map(x->x*2, (x,y,z)))...)
3-element Vector{Quantity{Float64, Dimensions{FixRat32}}}:
 2.0 m/s
 2.0 kg
 2000.0 (m² kg)/s³





#====================================================================================================
Some benchmarks
====================================================================================================#
import DynamicQuantities
import Unitful
using BenchmarkTools

v1flex = ubase.([1u"m/s", 1u"J/kg", 1u"A/V"])
v1uni  = [1*Unitful.u"m/s", 1*Unitful.u"J/kg", 1*Unitful.u"A/V"]
v1dyn  = [1*DynamicQuantities.u"m/s", 1*DynamicQuantities.u"J/kg", 1*DynamicQuantities.u"A/V"]

@btime sum(x->x^0.0, v1uni)
@btime sum(x->x^0.0, v1flex)
@btime sum(x->x^0.0, v1dyn)

t1flex = ubase.((1u"m/s", 1u"J/kg", 1u"A/V"))
t1uni  = (1*Unitful.u"m/s", 1*Unitful.u"J/kg", 1*Unitful.u"A/V")
t1dyn  = (1*DynamicQuantities.u"m/s", 1*DynamicQuantities.u"J/kg", 1*DynamicQuantities.u"A/V")

@btime sum(x->x^0, t1uni)
@btime sum(x->x^0, t1flex)
@btime sum(x->x^0, t1dyn)


