Disable coverage

[rikhuijzer]

Let's see whether the tests pass within time again when disabling coverage.

[rikhuijzer]

One sort of deprecation warning visible in the ubuntu output for Julia 1.6

┌ Warning: the `normalize` keyword argument will be false by default in future releases: set it explicitly to silence this deprecation
│   caller = (::TuringGLM.var"#normal_model_ranef#16"{Int64, Int64, CustomPrior, Vector{String}, Int64, Vector{Int64}})(__model__::DynamicPPL.Model{TuringGLM.var"#normal_model_ranef#16"{Int64, Int64, CustomPrior, Vector{String}, Int64, Vector{Int64}}, (:y, :X, :predictors, :idxs, :n_gr, :intercept_ranef, :μ_X, :σ_X, :prior, :residual), (:predictors, :idxs, :n_gr, :intercept_ranef, :μ_X, :σ_X, :prior, :residual), (), Tuple{Vector{Int64}, Matrix{Float64}, Int64, Vector{Int64}, Int64, Vector{String}, Int64, Int64, CustomPrior, Float64}, Tuple{Int64, Vector{Int64}, Int64, Vector{String}, Int64, Int64, CustomPrior, Float64}, DynamicPPL.DefaultContext}, __varinfo__::DynamicPPL.UntypedVarInfo{DynamicPPL.Metadata{Dict{AbstractPPL.VarName, Int64}, Vector{Distribution}, Vector{AbstractPPL.VarName}, Vector{Real}, Vector{Set{DynamicPPL.Selector}}}, Float64}, __context__::DynamicPPL.SamplingContext{DynamicPPL.SampleFromUniform, DynamicPPL.DefaultContext, Random.MersenneTwister}, y::Vector{Int64}, X::Matrix{Float64}, predictors::Int64, idxs::Vector{Int64}, n_gr::Int64, intercept_ranef::Vector{String}, μ_X::Int64, σ_X::Int64, prior::CustomPrior, residual::Float64) at turing_model.jl:183
└ @ TuringGLM ~/work/TuringGLM.jl/TuringGLM.jl/src/turing_model.jl:183

[rikhuijzer]

I've also set the number of threads to two since Julia defaults to 1 in CI.