clean up & fix tests
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@ -86,8 +86,9 @@ yaxis!("YLABEL", :log10)
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PlotExample("Images",
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"Plot an image. y-axis is set to flipped",
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[:(begin
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import FileIO, PlotReferenceImages
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img = FileIO.load(joinpath(dirname(pathof(PlotReferenceImages)), "..", "Plots","pyplot","0.7.0","ref1.png"))
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import FileIO
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path = download("http://juliaplots.org/PlotReferenceImages.jl/Plots/pyplot/0.7.0/ref1.png")
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img = FileIO.load(path)
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plot(img)
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end)]
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),
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@ -1,15 +1,3 @@
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using VisualRegressionTests
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using Plots
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using Random
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using BinaryProvider
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using Test
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default(size=(500,300))
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# TODO: use julia's Condition type and the wait() and notify() functions to initialize a Window, then wait() on a condition that
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# is referenced in a button press callback (the button clicked callback will call notify() on that condition)
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import Plots._current_plots_version
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# Taken from MakieGallery
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@ -43,10 +31,11 @@ const ref_image_dir = download_reference()
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function image_comparison_tests(pkg::Symbol, idx::Int; debug = false, popup = isinteractive(), sigma = [1,1], tol = 1e-2)
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Plots._debugMode.on = debug
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example = Plots._examples[idx]
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Plots.theme(:default)
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@info("Testing plot: $pkg:$idx:$(example.header)")
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backend(pkg)
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backend()
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default(size=(500,300))
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# ensure consistent results
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Random.seed!(1234)
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@ -83,7 +72,10 @@ function image_comparison_tests(pkg::Symbol, idx::Int; debug = false, popup = is
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# test function
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func = (fn, idx) -> begin
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map(eval, example.exprs)
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expr = Expr(:block)
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append!(expr.args, example.exprs)
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eval(expr)
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png(joinpath(@__DIR__, "testimgs", "test$idx.png"))
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png(fn)
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end
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122
test/runtests.jl
122
test/runtests.jl
@ -1,10 +1,11 @@
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module PlotsTests
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using Pkg
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using VisualRegressionTests
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using Plots
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using Random
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using BinaryProvider
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using Test
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using FileIO
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include("imgcomp.jl")
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# don't actually show the plots
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Random.seed!(1234)
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default(show=false, reuse=true)
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@ -21,14 +22,6 @@ img_tol = isinteractive() ? 1e-2 : 10e-2
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end
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end
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# @static if isinteractive()
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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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#
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# image_comparison_facts(:pyplot, tol=img_tol, skip = [2, 25, 30, 31])
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# end
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# end
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@testset "UnicodePlots" begin
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@test unicodeplots() == Plots.UnicodePlotsBackend()
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@ -43,68 +36,6 @@ end
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@test isa(display(p), Nothing) == 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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# @static if isinteractive()
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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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# image_comparison_facts(:plotlyjs,
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# skip=[
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# 2, # animation (skipped for speed)
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# 25,
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# 27, # (polar plots) takes very long / not working
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# 30,
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# 31, # animation (skipped for speed)
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# ],
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# tol=img_tol)
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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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# tol=img_tol)
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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 Sys.islinux() && image_comparison_facts(:plotly, only=[1,3,4,7,8,9,10,11,12,14,15,20,22,23,27], tol=img_tol)
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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], tol=img_tol)
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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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@ -122,44 +53,3 @@ end
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@testset "NoFail" begin
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histogram([1, 0, 0, 0, 0, 0])
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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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