Type stability in MixtureModels

General Usage Performance
1

Hi! I want to define a MixtureModel in which the component distributions might be from different families. While this piece of code works, the code is type unstable:

using Distributions
mixture = MixtureModel([Normal(-2, 1), TDist(2), Normal(2, 1)])
@code_warntype logpdf(mixture, 1.0)

and the output is

MethodInstance for Distributions.logpdf(::MixtureModel{Univariate, Continuous, Distribution{Univariate, Continuous}, Categorical{Float64, Vector{Float64}}}, ::Float64)
  from logpdf(d::UnivariateMixture, x::Real) in Distributions at /Users/leevi/.julia/packages/Distributions/O5xl5/src/mixtures/mixturemodel.jl:363
Arguments
  #self#::Core.Const(Distributions.logpdf)
  d::MixtureModel{Univariate, Continuous, Distribution{Univariate, Continuous}, Categorical{Float64, Vector{Float64}}}
  x::Float64
Body::Any
1 ─ %1 = Distributions._mixlogpdf1(d, x)::Any
└──      return %1

When the components are from the same family, there is no problem:

mixture = MixtureModel([Normal(-2, 1), Normal(0, 1), Normal(2, 1)])
@code_warntype logpdf(mixture, 1.0)

Are there any workarounds for this?