8beee23e21
_update_min_padding() is called before the backend is "started". In GR, this triggers an automatic initialization and starts the default output driver (X11, Quartz or GDI). This doesn't make sense in headless testing environments (CI) or when using Plots in Jupyter notebooks. These patches correct this behavour - but it's unclear (to me), why the call of _update_min_padding() can't be postponed.
173 lines
4.5 KiB
Julia
173 lines
4.5 KiB
Julia
module PlotsTests
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include("imgcomp.jl")
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# don't actually show the plots
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srand(1234)
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default(show=false, reuse=true)
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img_eps = isinteractive() ? 1e-2 : 10e-2
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@testset "GR" begin
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ENV["GKSwstype"] = "100"
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@test gr() == Plots.GRBackend()
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@test backend() == Plots.GRBackend()
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image_comparison_facts(:gr, eps=img_eps)
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end
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@testset "PyPlot" begin
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@test pyplot() == Plots.PyPlotBackend()
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@test backend() == Plots.PyPlotBackend()
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image_comparison_facts(:pyplot, eps=img_eps)
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end
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@testset "UnicodePlots" begin
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@test unicodeplots() == Plots.UnicodePlotsBackend()
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@test backend() == Plots.UnicodePlotsBackend()
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# lets just make sure it runs without error
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@test isa(plot(rand(10)), Plots.Plot) == true
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end
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# The plotlyjs testimages return a connection error on travis:
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# connect: connection refused (ECONNREFUSED)
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# @testset "PlotlyJS" begin
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# @test plotlyjs() == Plots.PlotlyJSBackend()
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# @test backend() == Plots.PlotlyJSBackend()
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#
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# if is_linux() && isinteractive()
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# image_comparison_facts(:plotlyjs,
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# skip=[
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# 2, # animation (skipped for speed)
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# 27, # (polar plots) takes very long / not working
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# 31, # animation (skipped for speed)
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# ],
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# eps=img_eps)
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# end
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# end
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# InspectDR returns that error on travis:
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# ERROR: LoadError: InitError: Cannot open display:
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# in Gtk.GLib.GError(::Gtk.##229#230) at /home/travis/.julia/v0.5/Gtk/src/GLib/gerror.jl:17
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# @testset "InspectDR" begin
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# @test inspectdr() == Plots.InspectDRBackend()
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# @test backend() == Plots.InspectDRBackend()
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#
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# image_comparison_facts(:inspectdr,
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# skip=[
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# 2, # animation
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# 6, # heatmap not defined
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# 10, # heatmap not defined
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# 22, # contour not defined
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# 23, # pie not defined
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# 27, # polar plot not working
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# 28, # heatmap not defined
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# 31, # animation
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# ],
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# eps=img_eps)
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# end
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# @testset "Plotly" begin
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# @test plotly() == Plots.PlotlyBackend()
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# @test backend() == Plots.PlotlyBackend()
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#
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# # # until png generation is reliable on OSX, just test on linux
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# # @static is_linux() && image_comparison_facts(:plotly, only=[1,3,4,7,8,9,10,11,12,14,15,20,22,23,27], eps=img_eps)
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# end
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# @testset "Immerse" begin
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# @test immerse() == Plots.ImmerseBackend()
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# @test backend() == Plots.ImmerseBackend()
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#
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# # as long as we can plot anything without error, it should be the same as Gadfly
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# image_comparison_facts(:immerse, only=[1], eps=img_eps)
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# end
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# @testset "PlotlyJS" begin
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# @test plotlyjs() == Plots.PlotlyJSBackend()
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# @test backend() == Plots.PlotlyJSBackend()
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#
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# # as long as we can plot anything without error, it should be the same as Plotly
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# image_comparison_facts(:plotlyjs, only=[1], eps=img_eps)
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# end
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# @testset "Gadfly" begin
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# @test gadfly() == Plots.GadflyBackend()
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# @test backend() == Plots.GadflyBackend()
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#
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# @test typeof(plot(1:10)) == Plots.Plot{Plots.GadflyBackend}
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# @test plot(Int[1,2,3], rand(3)) == not(nothing)
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# @test plot(sort(rand(10)), rand(Int, 10, 3)) == not(nothing)
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# @test plot!(rand(10,3), rand(10,3)) == not(nothing)
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#
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# image_comparison_facts(:gadfly, skip=[4,6,23,24,27], eps=img_eps)
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# end
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@testset "Axes" begin
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p = plot()
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axis = p.subplots[1][:xaxis]
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@test typeof(axis) == Plots.Axis
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@test Plots.discrete_value!(axis, "HI") == (0.5, 1)
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@test Plots.discrete_value!(axis, :yo) == (1.5, 2)
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@test Plots.ignorenan_extrema(axis) == (0.5,1.5)
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@test axis[:discrete_map] == Dict{Any,Any}(:yo => 2, "HI" => 1)
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Plots.discrete_value!(axis, ["x$i" for i=1:5])
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Plots.discrete_value!(axis, ["x$i" for i=0:2])
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@test Plots.ignorenan_extrema(axis) == (0.5, 7.5)
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end
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# tests for preprocessing recipes
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# @testset "recipes" begin
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# user recipe
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# type T end
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# @recipe function f(::T)
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# line := (3,0.3,:red)
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# marker := (20,0.5,:blue,:o)
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# bg := :yellow
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# rand(10)
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# end
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# plot(T())
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# plot recipe
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# @recipe function f(::Type{Val{:hiplt}},plt::Plot)
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# line := (3,0.3,:red)
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# marker := (20,0.5,:blue,:o)
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# t := :path
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# bg:=:green
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# ()
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# end
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# plot(rand(10),t=:hiplt)
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# series recipe
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# @recipe function f(::Type{Val{:hi}},x,y,z)
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# line := (3,0.3,:red)
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# marker := (20,0.5,:blue,:o)
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# t := :path
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# ()
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# end
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# plot(rand(10),t=:hiplt)
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# end
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end # module
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