`eachindex` for `Probabilities` is ambiguous about complexitymeasures.jl HOT 3 CLOSED

julia> c = counts(Dispersion(), rand(50))
 Counts{Int64,1} over 9 outcomes
 [1, 1]  5
 [1, 2]  2
 [1, 3]  7
 [2, 1]  2
 [2, 2]  8
 [2, 3]  6
 [3, 1]  7
 [3, 2]  6
 [3, 3]  6
 
julia> eachindex(c)
ERROR: MethodError: eachindex(::Counts{Int64, 1, Symbol}) is ambiguous.

Candidates:
  eachindex(A::AbstractArray, B::AbstractArray...)
    @ Base abstractarray.jl:377
  eachindex(c::Counts, args...)
    @ ComplexityMeasures ~/Documents/Repos/ComplexityMeasures.jl/src/core/counts.jl:92
  eachindex(A::AbstractVector)
    @ Base abstractarray.jl:314
  eachindex(A::AbstractArray)
    @ Base abstractarray.jl:371

Possible fix, define
  eachindex(::Counts{T, 1} where T<:Integer)

Stacktrace:
 [1] top-level scope
   @ REPL[8]:1

julia> using ComplexityMeasures

julia> using Test; detect_ambiguities(ComplexityMeasures)
9-element Vector{Tuple{Method, Method}}:
 (eachindex(d::Probabilities{T, N, S}, args...) where {T, N, S} @ ComplexityMeasures ~/Documents/Repos/ComplexityMeasures.jl/src/core/probabilities.jl:97, eachindex(A::AbstractArray, B::AbstractArray) @ Base abstractarray.jl:373)
 (probabilities(x, est::OutcomeSpace) @ ComplexityMeasures ~/Documents/Repos/ComplexityMeasures.jl/src/deprecations.jl:49, probabilities(est::ValueBinning, x) @ ComplexityMeasures ~/Documents/Repos/ComplexityMeasures.jl/src/outcome_spaces/value_binning.jl:66)
 (eachindex(c::Counts{T, N}, args...) where {T<:Integer, N} @ ComplexityMeasures ~/Documents/Repos/ComplexityMeasures.jl/src/core/counts.jl:92, eachindex(A::AbstractArray, B::AbstractArray) @ Base abstractarray.jl:373)
 (information(est::DifferentialInfoEstimator, args...) @ ComplexityMeasures ~/Documents/Repos/ComplexityMeasures.jl/src/core/information_functions.jl:267, information(est::InformationMeasureEstimator, probest::ProbabilitiesEstimator, args...) @ ComplexityMeasures ~/Documents/Repos/ComplexityMeasures.jl/src/core/information_measures.jl:91)
 ((var"#ctor-self#"::Type{Outcome{T}} where T<:Integer)(num) @ ComplexityMeasures ~/Documents/Repos/ComplexityMeasures.jl/src/core/outcome.jl:14, (::Type{T})(x::Base.TwicePrecision) where T<:Number @ Base twiceprecision.jl:266)
 (probabilities(o::OutcomeSpace, x) @ ComplexityMeasures ~/Documents/Repos/ComplexityMeasures.jl/src/core/probabilities.jl:261, probabilities(x, est::OutcomeSpace) @ ComplexityMeasures ~/Documents/Repos/ComplexityMeasures.jl/src/deprecations.jl:49)
 (eachindex(c::Counts{T, N}, args...) where {T<:Integer, N} @ ComplexityMeasures ~/Documents/Repos/ComplexityMeasures.jl/src/core/counts.jl:92, eachindex(A::AbstractArray, B::AbstractArray...) @ Base abstractarray.jl:377)
 (eachindex(d::Probabilities{T, N, S}, args...) where {T, N, S} @ ComplexityMeasures ~/Documents/Repos/ComplexityMeasures.jl/src/core/probabilities.jl:97, eachindex(A::AbstractArray, B::AbstractArray...) @ Base abstractarray.jl:377)
 ((var"#ctor-self#"::Type{Outcome{T}} where T<:Integer)(num) @ ComplexityMeasures ~/Documents/Repos/ComplexityMeasures.jl/src/core/outcome.jl:14, (::Type{T})(x::AbstractChar) where T<:Union{AbstractChar, Number} @ Base char.jl:50)

julia> c = counts(Dispersion(), rand(50))
 Counts{Int64,1} over 9 outcomes
 [1, 1]   9
 [1, 2]   3
 [1, 3]   7
 [2, 1]   3
 [2, 2]   2
 [2, 3]   3
 [3, 1]   7
 [3, 2]   3
 [3, 3]  12

julia> eachindex(c)
Base.OneTo(9)

julia> p = probabilities(Dispersion(), rand(50))
 Probabilities{Float64,1} over 9 outcomes
 [1, 1]  0.10204081632653061
 [1, 2]  0.14285714285714285
 [1, 3]  0.08163265306122448
 [2, 1]  0.10204081632653061
 [2, 2]  0.02040816326530612
 [2, 3]  0.10204081632653061
 [3, 1]  0.12244897959183673
 [3, 2]  0.061224489795918366
 [3, 3]  0.2653061224489796

julia> eachindex(p)
Base.OneTo(9)