Process completed with exit code 1.

failed to run `@example` block in docs/src/examples.md:659-702 ```@example using ArviZPythonPlots, Distributions, PythonCall x = range(0, 1; length=100) dist = pdf.(Beta(2, 5), x) style_list = [ "default", ["default", "arviz-colors"], "arviz-darkgrid", "arviz-whitegrid", "arviz-white", "arviz-grayscale", ["arviz-white", "arviz-redish"], ["arviz-white", "arviz-bluish"], ["arviz-white", "arviz-orangish"], ["arviz-white", "arviz-brownish"], ["arviz-white", "arviz-purplish"], ["arviz-white", "arviz-cyanish"], ["arviz-white", "arviz-greenish"], ["arviz-white", "arviz-royish"], ["arviz-white", "arviz-viridish"], ["arviz-white", "arviz-plasmish"], "arviz-doc", "arviz-docgrid", ] fig = figure(; figsize=(20, 10)) for (idx, style) in enumerate(style_list) pywith(pyplot.style.context(style; after_reset=true)) do _ ax = fig.add_subplot(5, 4, idx; label=idx) colors = pyplot.rcParams["axes.prop_cycle"].by_key()["color"] for i in 0:(length(colors) - 1) ax.plot(x, dist .- i, "C$i"; label="C$i") end ax.set_title(style) ax.set_xlabel("x") ax.set_ylabel("f(x)"; rotation=0, labelpad=15) ax.set_xticklabels([]) end end tight_layout() gcf() ``` exception = Python: ValueError: NoneType copy mode not allowed. Python stacktrace: [1] __array__ @ ~/.julia/packages/PythonCall/wkBj7/src/JlWrap/array.jl:371 [2] to_numpy @ ~/.julia/packages/PythonCall/wkBj7/src/JlWrap/array.jl:374 [3] _unpack_to_numpy @ matplotlib.cbook ~/work/ArviZPythonPlots.jl/ArviZPythonPlots.jl/docs/.CondaPkg/.pixi/envs/default/lib/python3.12/site-packages/matplotlib/cbook.py:2375 [4] _check_1d @ matplotlib.cbook ~/work/ArviZPythonPlots.jl/ArviZPythonPlots.jl/docs/.CondaPkg/.pixi/envs/default/lib/python3.12/site-packages/matplotlib/cbook.py:1361 [5] _plot_args @ matplotlib.axes._base ~/work/ArviZPythonPlots.jl/ArviZPythonPlots.jl/docs/.CondaPkg/.pixi/envs/default/lib/python3.12/site-packages/matplotlib/axes/_base.py:483 [6] __call__ @ matplotlib.axes._base ~/work/ArviZPythonPlots.jl/ArviZPythonPlots.jl/docs/.CondaPkg/.pixi/envs/default/lib/python3.12/site-packages/matplotlib/axes/_base.py:297 [7] plot @ matplotlib.axes._axes ~/work/ArviZPythonPlots.jl/ArviZPythonPlots.jl/docs/.CondaPkg/.pixi/envs/default/lib/python3.12/site-packages/matplotlib/axes/_axes.py:1777 Stacktrace: [1] pythrow() @ PythonCall.Core ~/.julia/packages/PythonCall/wkBj7/src/Core/err.jl:77 [2] errcheck @ ~/.julia/packages/PythonCall/wkBj7/src/Core/err.jl:10 [inlined] [3] pycallargs(f::Py, args::Py, kwargs::Py) @ PythonCall.Core ~/.julia/packages/PythonCall/wkBj7/src/Core/builtins.jl:195 [4] pycall(::Py, ::StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}, ::Vararg{Any}; kwargs::@kwargs{label::String}) @ PythonCall.Core ~/.julia/packages/PythonCall/wkBj7/src/Core/builtins.jl:207 [5] (::Py)(::StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}, ::Vararg{Any}; kwargs::@kwargs{label::String}) @ PythonCall.Core ~/.julia/packages/PythonCall/wkBj7/src/Core/Py.jl:363 [6] (::Main.__atexample__316.var"#2#3"{String, Int64})(::Py) @ Main.__atexample__316 ./examples.md:692 [7] pywith(f::Main.__atexample__316.var"#2#3"{String, Int64}, o::Py, d::Nothing) @ PythonCall.Core ~/.julia/packages/PythonCall/wkBj7/src/Core/builtins.jl:1432 [8] pywith(f::Function, o::Py) @ PythonCall.Core ~/.julia/packages/PythonCall/wkBj7/src/Core/builtins.jl:1426 [9] top-level scope @ examples.md:688 [10] eval(m::Module, e::Any) @ Core ./boot.jl:489 [11] #61 @ ~/.julia/packages/Documenter/xvqbW/src/expander_pipeline.jl:879 [inlined] [12] cd(f::Documenter.var"#61#62"{Module, Expr}, dir::String) @ Base.Filesystem ./file.jl:112 [13] (::Documenter.var"#59#60"

failed to run `@example` block in docs/src/examples.md:597-611 ```@example using ArviZ, ArviZPythonPlots, ArviZExampleData, DimensionalData use_style("arviz-darkgrid") data = load_example_data("regression1d") x = range(0, 1; length=100) posterior = data.posterior constant_data = convert_to_dataset((; x); default_dims=()) y_model = broadcast_dims(muladd, posterior.intercept, posterior.slope, constant_data.x) posterior = merge(posterior, (; y_model)) data = merge(data, InferenceData(; posterior, constant_data)) plot_lm("y"; idata=data, x="x", y_model="y_model") gcf() ``` exception = Python: ValueError: NoneType copy mode not allowed. Python stacktrace: [1] __array__ @ ~/.julia/packages/PythonCall/wkBj7/src/JlWrap/array.jl:371 [2] to_numpy @ ~/.julia/packages/PythonCall/wkBj7/src/JlWrap/array.jl:374 Stacktrace: [1] pythrow() @ PythonCall.Core ~/.julia/packages/PythonCall/wkBj7/src/Core/err.jl:77 [2] errcheck @ ~/.julia/packages/PythonCall/wkBj7/src/Core/err.jl:10 [inlined] [3] pycallargs(f::Py) @ PythonCall.Core ~/.julia/packages/PythonCall/wkBj7/src/Core/builtins.jl:193 [4] #pycall#26 @ ~/.julia/packages/PythonCall/wkBj7/src/Core/builtins.jl:217 [inlined] [5] pycall @ ~/.julia/packages/PythonCall/wkBj7/src/Core/builtins.jl:203 [inlined] [6] Py @ ~/.julia/packages/PythonCall/wkBj7/src/Core/Py.jl:363 [inlined] [7] topytype(x::StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}) @ ArviZPythonPlots ~/work/ArviZPythonPlots.jl/ArviZPythonPlots.jl/src/utils.jl:47 [8] _to_xarray(data::DimensionalData.DimVector{Float64, Tuple{DimensionalData.Dimensions.Dim{:x_dim_1, DimensionalData.Dimensions.Lookups.NoLookup{Base.OneTo{Int64}}}}, Tuple{}, StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}, Symbol, DimensionalData.Dimensions.Lookups.NoMetadata}) @ ArviZPythonPlots ~/work/ArviZPythonPlots.jl/ArviZPythonPlots.jl/src/xarray.jl:28 [9] map(f::typeof(ArviZPythonPlots._to_xarray), t::Tuple{DimensionalData.DimVector{Float64, Tuple{DimensionalData.Dimensions.Dim{:x_dim_1, DimensionalData.Dimensions.Lookups.NoLookup{Base.OneTo{Int64}}}}, Tuple{}, StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}, Symbol, DimensionalData.Dimensions.Lookups.NoMetadata}}) @ Base ./tuple.jl:358 [10] map @ ./namedtuple.jl:263 [inlined] [11] _to_xarray(data::InferenceObjects.Dataset{(:x,), @NamedTuple{x::Float64}, 1, @NamedTuple{x::StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}}, DimensionalData.DimStack{(:x,), @NamedTuple{x::Float64}, 1, @NamedTuple{x::StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}}, Tuple{DimensionalData.Dimensions.Dim{:x_dim_1, DimensionalData.Dimensions.Lookups.NoLookup{Base.OneTo{Int64}}}}, Tuple{}, Tuple{Tuple{DimensionalData.Dimensions.Dim{:x_dim_1, Colon}}}, Dict{String, Any}, Tuple{DimensionalData.Dimensions.Lookups.NoMetadata}}}) @ ArviZPythonPlots ~/work/ArviZPythonPlots.jl/ArviZPythonPlots.jl/src/xarray.jl:9 [12] Py @ ~/work/ArviZPythonPlots.jl/ArviZPythonPlots.jl/src/xarray.jl:1 [inlined] [13] topytype @ ~/work/ArviZPythonPlots.jl/ArviZPythonPlots.jl/src/utils.jl:55 [inlined] [14] map @ ./tuple.jl:360 [inlined] [15] map @ ./tuple.jl:361 [inlined] [16] map(f::typeof(ArviZPythonPlots.topytype), t::Tuple{InferenceObjects.Dataset{(:y,), @NamedTuple{y::Float64}, 3, @NamedTuple{y::Array{Float64, 3}}, DimensionalData.DimStack{(:y,), @NamedTuple{y::Float64}, 3, @NamedTuple{y::Array{Float64, 3}}, Tuple{DimensionalData.Dimensions.Dim{:y_dim_0, DimensionalData.Dimensions.Lookups.Sampled{Int64, Vector{Int64}, DimensionalData.Dimensions.Lookups.ForwardOrdered, DimensionalData.Dimensions.Lookups.Irregular{Tuple{Nothing, Nothing}}, DimensionalData.Dimensions.Lookups.Points, DimensionalData.Dimensions.Lookups.

failed to run `@example` block in docs/src/examples.md:307-327 ```@example using ArviZPythonPlots, ArviZExampleData use_style("arviz-darkgrid") data = load_example_data("centered_eight") ## Combine different posterior draws from different chains obs = data.posterior_predictive.obs size_obs = size(obs) y_hat = reshape(obs, prod(size_obs[1:2]), size_obs[3:end]...) plot_kde( y_hat; label="Estimated Effect\n of SAT Prep", rug=true, plot_kwargs=Dict("linewidth" => 2, "color" => "black"), rug_kwargs=Dict("color" => "black"), ) gcf() ``` exception = Python: ValueError: NoneType copy mode not allowed. Python stacktrace: [1] __array__ @ ~/.julia/packages/PythonCall/wkBj7/src/JlWrap/array.jl:371 [2] to_numpy @ ~/.julia/packages/PythonCall/wkBj7/src/JlWrap/array.jl:374 Stacktrace: [1] pythrow() @ PythonCall.Core ~/.julia/packages/PythonCall/wkBj7/src/Core/err.jl:77 [2] errcheck @ ~/.julia/packages/PythonCall/wkBj7/src/Core/err.jl:10 [inlined] [3] pycallargs(f::Py) @ PythonCall.Core ~/.julia/packages/PythonCall/wkBj7/src/Core/builtins.jl:193 [4] #pycall#26 @ ~/.julia/packages/PythonCall/wkBj7/src/Core/builtins.jl:217 [inlined] [5] pycall @ ~/.julia/packages/PythonCall/wkBj7/src/Core/builtins.jl:203 [inlined] [6] Py @ ~/.julia/packages/PythonCall/wkBj7/src/Core/Py.jl:363 [inlined] [7] topytype(x::Base.ReshapedArray{Float64, 2, DimensionalData.DimArray{Float64, 3, Tuple{DimensionalData.Dimensions.Dim{:school, DimensionalData.Dimensions.Lookups.Categorical{String, Vector{String}, DimensionalData.Dimensions.Lookups.Unordered, DimensionalData.Dimensions.Lookups.NoMetadata}}, DimensionalData.Dimensions.Dim{:draw, DimensionalData.Dimensions.Lookups.Sampled{Int64, Vector{Int64}, DimensionalData.Dimensions.Lookups.ForwardOrdered, DimensionalData.Dimensions.Lookups.Irregular{Tuple{Nothing, Nothing}}, DimensionalData.Dimensions.Lookups.Points, DimensionalData.Dimensions.Lookups.NoMetadata}}, DimensionalData.Dimensions.Dim{:chain, DimensionalData.Dimensions.Lookups.Sampled{Int64, Vector{Int64}, DimensionalData.Dimensions.Lookups.ForwardOrdered, DimensionalData.Dimensions.Lookups.Irregular{Tuple{Nothing, Nothing}}, DimensionalData.Dimensions.Lookups.Points, DimensionalData.Dimensions.Lookups.NoMetadata}}}, Tuple{}, Array{Float64, 3}, Symbol, DimensionalData.Dimensions.Lookups.NoMetadata}, Tuple{}}) @ ArviZPythonPlots ~/work/ArviZPythonPlots.jl/ArviZPythonPlots.jl/src/utils.jl:49 [8] iterate @ ./generator.jl:48 [inlined] [9] plot_kde(args::Base.ReshapedArray{Float64, 2, DimensionalData.DimArray{Float64, 3, Tuple{DimensionalData.Dimensions.Dim{:school, DimensionalData.Dimensions.Lookups.Categorical{String, Vector{String}, DimensionalData.Dimensions.Lookups.Unordered, DimensionalData.Dimensions.Lookups.NoMetadata}}, DimensionalData.Dimensions.Dim{:draw, DimensionalData.Dimensions.Lookups.Sampled{Int64, Vector{Int64}, DimensionalData.Dimensions.Lookups.ForwardOrdered, DimensionalData.Dimensions.Lookups.Irregular{Tuple{Nothing, Nothing}}, DimensionalData.Dimensions.Lookups.Points, DimensionalData.Dimensions.Lookups.NoMetadata}}, DimensionalData.Dimensions.Dim{:chain, DimensionalData.Dimensions.Lookups.Sampled{Int64, Vector{Int64}, DimensionalData.Dimensions.Lookups.ForwardOrdered, DimensionalData.Dimensions.Lookups.Irregular{Tuple{Nothing, Nothing}}, DimensionalData.Dimensions.Lookups.Points, DimensionalData.Dimensions.Lookups.NoMetadata}}}, Tuple{}, Array{Float64, 3}, Symbol, DimensionalData.Dimensions.Lookups.NoMetadata}, Tuple{}}; kwargs::@kwargs{label::String, rug::Bool, plot_kwargs::Dict{String, Any}, rug_kwargs::Dict{String, String}}) @ ArviZPythonPlots ~/work/ArviZPythonPlots.jl/ArviZPythonPlots.jl/src/plots.jl:3 [10] top-level scope @ examples.md:319 [11] eval(m::Module, e::Any) @ Core ./boot.jl:489 [12] #61 @ ~/.julia/packages/Documenter/xvqbW/src/expander_pipeline.jl:879 [inlined] [13] cd(f::Documenter.var"#61#