check version in ci - fix precompilation

.github/workflows/ci.yml

@@ -73,11 +73,11 @@ jobs:
           Pkg.develop([
             (; path="./RecipesBase"),
             (; path="./RecipesPipeline"),
+            (; path="./PlotThemes"),
             (; path="./PlotsBase"),
-            (; path="."),
             (; path="./GraphRecipes"),
             (; path="./StatsPlots"),
-            (; path="./PlotThemes"),
+            (; path="."),
           ])
 
       - name: Install conda based matplotlib
@@ -96,11 +96,11 @@ jobs:
           ${cmd[@]} -e 'using Pkg; Pkg.test([
             "RecipesBase",
             "RecipesPipeline",
+            "PlotThemes",
             "PlotsBase",
-            "Plots",
             "GraphRecipes",
             "StatsPlots",
-            "PlotThemes",
+            "Plots",
           ]; coverage=true)'
       - uses: julia-actions/julia-processcoverage@latest
         if: startsWith(matrix.os, 'ubuntu')

GraphRecipes/Project.toml

@@ -1,6 +1,6 @@
 name = "GraphRecipes"
 uuid = "bd48cda9-67a9-57be-86fa-5b3c104eda73"
-version = "1.0"
+version = "1.0.0"
 
 [deps]
 AbstractTrees = "1520ce14-60c1-5f80-bbc7-55ef81b5835c"
@@ -12,6 +12,7 @@ LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
 NaNMath = "77ba4419-2d1f-58cd-9bb1-8ffee604a2e3"
 NetworkLayout = "46757867-2c16-5918-afeb-47bfcb05e46a"
 PlotUtils = "995b91a9-d308-5afd-9ec6-746e21dbc043"
+PlotsBase = "c52230a3-c5da-43a3-9e85-260fcdfdc737"
 RecipesBase = "3cdcf5f2-1ef4-517c-9805-6587b60abb01"
 SparseArrays = "2f01184e-e22b-5df5-ae63-d93ebab69eaf"
 Statistics = "10745b16-79ce-11e8-11f9-7d13ad32a3b2"
@@ -29,17 +30,18 @@ Statistics = "1"
 julia = "1.10"
 
 [extras]
+GR = "28b8d3ca-fb5f-59d9-8090-bfdbd6d07a71"
 Gtk = "4c0ca9eb-093a-5379-98c5-f87ac0bbbf44"
 ImageMagick = "6218d12a-5da1-5696-b52f-db25d2ecc6d1"
 LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
 Logging = "56ddb016-857b-54e1-b83d-db4d58db5568"
 Markdown = "d6f4376e-aef5-505a-96c1-9c027394607a"
-Plots = "91a5bcdd-55d7-5caf-9e0b-520d859cae80"
+PlotsBase = "c52230a3-c5da-43a3-9e85-260fcdfdc737"
 Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
 SparseArrays = "2f01184e-e22b-5df5-ae63-d93ebab69eaf"
 StableRNGs = "860ef19b-820b-49d6-a774-d7a799459cd3"
 Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"
 VisualRegressionTests = "34922c18-7c2a-561c-bac1-01e79b2c4c92"
 
 [targets]
-test = ["Gtk", "ImageMagick", "LinearAlgebra", "Logging", "Markdown", "Plots", "Random", "SparseArrays", "StableRNGs", "Test", "VisualRegressionTests"]
+test = ["Gtk", "GR", "ImageMagick", "LinearAlgebra", "Logging", "Markdown", "PlotsBase", "Random", "SparseArrays", "StableRNGs", "Test", "VisualRegressionTests"]

GraphRecipes/README.md

@@ -21,7 +21,9 @@ For a given graph, there are many legitimate ways to display and visualize the g
 ## An example
 ```julia
 using GraphRecipes
-using Plots
+using PlotsBase
+
+import GR; gr()
 
 g = [0 1 1;
      1 0 1;

GraphRecipes/src/trees.jl

@@ -12,10 +12,10 @@ Wrap a tree-like object for plotting. Uses `AbstractTrees.children()` to recursi
 
 ```julia
 using AbstractTrees, GraphRecipes
-AbstractTrees.children(d::Dict) = [p for p in d]
-AbstractTrees.children(p::Pair) = AbstractTrees.children(p[2])
-function AbstractTrees.printnode(io::IO, p::Pair)
-    str = isempty(AbstractTrees.children(p[2])) ? string(p[1], ": ", p[2]) : string(p[1], ": ")
+@eval AbstractTrees children(d::AnstractDict) = [p for p in d]
+@eval AbstractTrees children(p::Pair) = AbstractTrees.children(p[2])
+@eval AbstractTrees  function printnode(io::IO, p::Pair)
+    str = isempty(children(p[2])) ? string(p[1], ": ", p[2]) : string(p[1], ": ")
     print(io, str)
 end
 

GraphRecipes/test/functions.jl

@@ -1,8 +1,4 @@
-using Plots
-using StableRNGs
-using GraphRecipes
-using GraphRecipes.Colors
-using GraphRecipes.AbstractTrees
+
 function random_labelled_graph()
     n = 15
     rng = StableRNG(1)
@@ -172,11 +168,11 @@ julia_type_tree() = plot(
     rng = StableRNG(1),
 )
 
-AbstractTrees.children(d::Dict) = [p for p ∈ d]
-AbstractTrees.children(p::Pair) = AbstractTrees.children(p[2])
-function AbstractTrees.printnode(io::IO, p::Pair)
+@eval AbstractTrees children(d::AbstractDict) = [p for p ∈ d]
+@eval AbstractTrees children(p::Pair) = AbstractTrees.children(p[2])
+@eval AbstractTrees function printnode(io::IO, p::Pair)
     str =
-        isempty(AbstractTrees.children(p[2])) ? string(p[1], ": ", p[2]) :
+        isempty(children(p[2])) ? string(p[1], ": ", p[2]) :
         string(p[1], ": ")
     print(io, str)
 end

GraphRecipes/test/parse_readme.jl

@@ -1,6 +1,5 @@
-using Markdown
 using GraphRecipes
-using Plots
+using Markdown
 
 cd(@__DIR__)
 

GraphRecipes/test/pkg_deps.jl

@@ -1,4 +1,3 @@
-
 module PkgDeps
 
 using GraphRecipes

GraphRecipes/test/runtests.jl

@@ -1,17 +1,19 @@
 using VisualRegressionTests
 using AbstractTrees
 using LinearAlgebra
-using Logging
+using GraphRecipes.AbstractTrees
+using GraphRecipes.Colors
 using GraphRecipes
 using SparseArrays
 using ImageMagick
 using StableRNGs
+using PlotsBase
+using Logging
 using Graphs
-using Plots
 using Test
 using Gtk  # for popup
 
-import Plots: PlotsBase
+import GR; gr()
 
 isci() = get(ENV, "CI", "false") == "true"
 itol(tol = nothing) = something(tol, isci() ? 1e-3 : 1e-5)

PlotsBase/Project.toml

@@ -4,15 +4,12 @@ version = "0.1"
 
 [deps]
 Base64 = "2a0f44e3-6c83-55bd-87e4-b1978d98bd5f"
-Contour = "d38c429a-6771-53c6-b99e-75d170b6e991"
 Dates = "ade2ca70-3891-5945-98fb-dc099432e06a"
 Downloads = "f43a241f-c20a-4ad4-852c-f6b1247861c6"
 FFMPEG = "c87230d0-a227-11e9-1b43-d7ebe4e7570a"
 FixedPointNumbers = "53c48c17-4a7d-5ca2-90c5-79b7896eea93"
 JLFzf = "1019f520-868f-41f5-a6de-eb00f4b6a39c"
 JSON = "682c06a0-de6a-54ab-a142-c8b1cf79cde6"
-LaTeXStrings = "b964fa9f-0449-5b57-a5c2-d3ea65f4040f"
-Latexify = "23fbe1c1-3f47-55db-b15f-69d7ec21a316"
 LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
 Measures = "442fdcdd-2543-5da2-b0f3-8c86c306513e"
 NaNMath = "77ba4419-2d1f-58cd-9bb1-8ffee604a2e3"
@@ -27,31 +24,34 @@ Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
 RecipesBase = "3cdcf5f2-1ef4-517c-9805-6587b60abb01"
 RecipesPipeline = "01d81517-befc-4cb6-b9ec-a95719d0359c"
 Reexport = "189a3867-3050-52da-a836-e630ba90ab69"
-RelocatableFolders = "05181044-ff0b-4ac5-8273-598c1e38db00"
 Scratch = "6c6a2e73-6563-6170-7368-637461726353"
 Showoff = "992d4aef-0814-514b-bc4d-f2e9a6c4116f"
 SparseArrays = "2f01184e-e22b-5df5-ae63-d93ebab69eaf"
 Statistics = "10745b16-79ce-11e8-11f9-7d13ad32a3b2"
 StatsBase = "2913bbd2-ae8a-5f71-8c99-4fb6c76f3a91"
 UUIDs = "cf7118a7-6976-5b1a-9a39-7adc72f591a4"
 UnicodeFun = "1cfade01-22cf-5700-b092-accc4b62d6e1"
-UnitfulLatexify = "45397f5d-5981-4c77-b2b3-fc36d6e9b728"
 Unzip = "41fe7b60-77ed-43a1-b4f0-825fd5a5650d"
 
 [weakdeps]
+Colors = "5ae59095-9a9b-59fe-a467-6f913c188581"
+Contour = "d38c429a-6771-53c6-b99e-75d170b6e991"
 FileIO = "5789e2e9-d7fb-5bc7-8068-2c6fae9b9549"
 GR = "28b8d3ca-fb5f-59d9-8090-bfdbd6d07a71"
 Gaston = "4b11ee91-296f-5714-9832-002c20994614"
 GeometryBasics = "5c1252a2-5f33-56bf-86c9-59e7332b4326"
 HDF5 = "f67ccb44-e63f-5c2f-98bd-6dc0ccc4ba2f"
 IJulia = "7073ff75-c697-5162-941a-fcdaad2a7d2a"
 ImageInTerminal = "d8c32880-2388-543b-8c61-d9f865259254"
+Latexify = "23fbe1c1-3f47-55db-b15f-69d7ec21a316"
+LaTeXStrings = "b964fa9f-0449-5b57-a5c2-d3ea65f4040f"
 PGFPlotsX = "8314cec4-20b6-5062-9cdb-752b83310925"
 PlotlyJS = "f0f68f2c-4968-5e81-91da-67840de0976a"
 PlotlyKaleido = "f2990250-8cf9-495f-b13a-cce12b45703c"
 PythonPlot = "274fc56d-3b97-40fa-a1cd-1b4a50311bf9"
 UnicodePlots = "b8865327-cd53-5732-bb35-84acbb429228"
 Unitful = "1986cc42-f94f-5a68-af5c-568840ba703d"
+UnitfulLatexify = "45397f5d-5981-4c77-b2b3-fc36d6e9b728"
 
 [extensions]
 FileIOExt = "FileIO"
@@ -61,17 +61,19 @@ GeometryBasicsExt = "GeometryBasics"
 HDF5Ext = "HDF5"
 IJuliaExt = "IJulia"
 ImageInTerminalExt = "ImageInTerminal"
-PGFPlotsXExt = "PGFPlotsX"
+PGFPlotsXExt = ["Colors", "Contour", "Latexify", "LaTeXStrings", "PGFPlotsX"]
 PlotlyJSExt = "PlotlyJS"
 PlotlyKaleidoExt = "PlotlyKaleido"
 PythonPlotExt = "PythonPlot"
 UnicodePlotsExt = "UnicodePlots"
-UnitfulExt = "Unitful"
+UnitfulExt = ["Latexify", "LaTeXStrings", "UnitfulLatexify", "Unitful"]
 
 [compat]
 Base64 = "1"
+Colors = "0.12 - 0.13"
 Contour = "0.6"
 Dates = "1"
+Downloads = "1"
 FFMPEG = "0.4"
 FixedPointNumbers = "0.8"
 GR = "0.73"
@@ -88,7 +90,7 @@ Pkg = "1"
 PlotThemes = "3"
 PlotUtils = "1"
 PlotlyJS = "0.18"
-PlotlyKaleido = "2.2.2"
+PlotlyKaleido = "2.2"
 PrecompileTools = "1"
 Preferences = "1"
 Printf = "1"
@@ -98,7 +100,6 @@ REPL = "1"
 RecipesBase = "1.3.1"
 RecipesPipeline = "1"
 Reexport = "1"
-RelocatableFolders = "1"
 Scratch = "1"
 Showoff = "1"
 SparseArrays = "1"
@@ -114,6 +115,7 @@ julia = "1.10"
 [extras]
 Aqua = "4c88cf16-eb10-579e-8560-4a9242c79595"
 Colors = "5ae59095-9a9b-59fe-a467-6f913c188581"
+Contour = "d38c429a-6771-53c6-b99e-75d170b6e991"
 Distributions = "31c24e10-a181-5473-b8eb-7969acd0382f"
 FileIO = "5789e2e9-d7fb-5bc7-8068-2c6fae9b9549"
 FilePathsBase = "48062228-2e41-5def-b9a4-89aafe57970f"
@@ -125,6 +127,8 @@ Gtk = "4c0ca9eb-093a-5379-98c5-f87ac0bbbf44"
 HDF5 = "f67ccb44-e63f-5c2f-98bd-6dc0ccc4ba2f"
 Images = "916415d5-f1e6-5110-898d-aaa5f9f070e0"
 LibGit2 = "76f85450-5226-5b5a-8eaa-529ad045b433"
+Latexify = "23fbe1c1-3f47-55db-b15f-69d7ec21a316"
+LaTeXStrings = "b964fa9f-0449-5b57-a5c2-d3ea65f4040f"
 OffsetArrays = "6fe1bfb0-de20-5000-8ca7-80f57d26f881"
 PGFPlotsX = "8314cec4-20b6-5062-9cdb-752b83310925"
 PlotlyJS = "f0f68f2c-4968-5e81-91da-67840de0976a"
@@ -138,7 +142,8 @@ Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"
 TestImages = "5e47fb64-e119-507b-a336-dd2b206d9990"
 UnicodePlots = "b8865327-cd53-5732-bb35-84acbb429228"
 Unitful = "1986cc42-f94f-5a68-af5c-568840ba703d"
+UnitfulLatexify = "45397f5d-5981-4c77-b2b3-fc36d6e9b728"
 VisualRegressionTests = "34922c18-7c2a-561c-bac1-01e79b2c4c92"
 
 [targets]
-test = ["Aqua", "Colors", "Distributions", "FileIO", "FilePathsBase", "FreeType", "Gaston", "GeometryBasics", "GR", "Gtk", "HDF5", "Images", "LibGit2", "OffsetArrays", "PGFPlotsX", "PlotlyJS", "PlotlyKaleido", "PythonPlot", "RDatasets", "SentinelArrays", "StableRNGs", "StaticArrays", "Test", "TestImages", "UnicodePlots", "Unitful", "VisualRegressionTests"]
+test = ["Aqua", "Colors", "Contour", "Distributions", "FileIO", "FilePathsBase", "FreeType", "Gaston", "GeometryBasics", "GR", "Gtk", "HDF5", "Images", "Latexify", "LaTeXStrings", "LibGit2", "OffsetArrays", "PGFPlotsX", "PlotlyJS", "PlotlyKaleido", "PythonPlot", "RDatasets", "SentinelArrays", "StableRNGs", "StaticArrays", "Test", "TestImages", "UnicodePlots", "Unitful", "UnitfulLatexify", "VisualRegressionTests"]

PlotsBase/ext/GRExt.jl

@@ -1,7 +1,7 @@
 module GRExt
 
-import PlotsBase: PlotsBase, _cycle
-import RecipesPipeline
+import PlotsBase: PlotsBase, PrecompileTools, RecipesPipeline, _cycle
+
 import NaNMath
 import GR
 
@@ -2290,7 +2290,7 @@ function PlotsBase._display(plt::Plot{GRBackend})
         GR.emergencyclosegks()
         println(
             "\033]1337;File=inline=1;preserveAspectRatio=0:",
-            base64encode(open(read, filepath)),
+            Base64.base64encode(open(read, filepath)),
             "\a",
         )
         rm(filepath)
@@ -2303,4 +2303,6 @@ end
 
 PlotsBase.closeall(::GRBackend) = GR.emergencyclosegks()
 
+PlotsBase.@precompile_backend GR
+
 end  # module

PlotsBase/ext/GastonExt.jl

@@ -1,8 +1,6 @@
 module GastonExt
 
-import RecipesPipeline
-import PlotUtils
-import PlotsBase
+import PlotsBase: PlotsBase, PrecompileTools, RecipesPipeline, PlotUtils
 import Gaston
 
 using PlotsBase.Annotations
@@ -845,4 +843,6 @@ function gaston_enclose_tick_string(tick_string)
     "$base^{$power}"
 end
 
+PlotsBase.@precompile_backend Gaston
+
 end  # module

PlotsBase/ext/HDF5Ext.jl

@@ -7,7 +7,7 @@ import PlotUtils: PlotUtils, Colors
 import PlotUtils.ColorSchemes: ColorScheme
 import PlotUtils.Colors: Colorant
 
-import PlotsBase
+import PlotsBase: PlotsBase, PrecompileTools
 
 using PlotsBase.Annotations
 using PlotsBase.DataSeries
@@ -580,4 +580,6 @@ PlotsBase.hdf5plot_read(path::AbstractString; name::String = "_unnamed") =
         return _read_plot(HDF5.open_group(file, h5plotpath("_unnamed")))
     end
 
+PlotsBase.@precompile_backend HDF5
+
 end  # module

PlotsBase/ext/IJuliaExt.jl

@@ -1,7 +1,7 @@
 module IJuliaExt
 
 import PlotsBase: PlotsBase, Plot
-using Base64
+import Base64
 
 # NOTE: cannot use import IJulia
 const IJulia =
@@ -28,7 +28,7 @@ function _ijulia_display_dict(plt::Plot)
         out[mime] = sprint(show, MIME(mime), plt)
     elseif output_type ≡ :png
         mime = "image/png"
-        out[mime] = base64encode(show, MIME(mime), plt)
+        out[mime] = Base64.base64encode(show, MIME(mime), plt)
     elseif output_type ≡ :svg
         mime = "image/svg+xml"
         out[mime] = sprint(show, MIME(mime), plt)
@@ -38,7 +38,7 @@ function _ijulia_display_dict(plt::Plot)
         PlotsBase._ijulia__extra_mime_info!(plt, out)
     elseif output_type ≡ :pdf
         mime = "application/pdf"
-        out[mime] = base64encode(show, MIME(mime), plt)
+        out[mime] = Base64.base64encode(show, MIME(mime), plt)
     else
         error("Unsupported output type $output_type")
     end

PlotsBase/ext/PGFPlotsXExt.jl

@@ -1,14 +1,14 @@
 module PGFPlotsXExt
 
-import PlotsBase: PlotsBase, pgfx_sanitize_string
+import PlotsBase:
+    PlotsBase, PrecompileTools, RecipesPipeline, PlotUtils, pgfx_sanitize_string, Plot
 import LaTeXStrings: LaTeXString
 import Printf: @sprintf
 
-import RecipesPipeline
-import PlotUtils
-import PGFPlotsX
 import Latexify
-import Contour
+import Contour  # PGFPlotsX extension
+import Colors  # PGFPlotsX extension
+import PGFPlotsX
 
 using PlotsBase.Annotations
 using PlotsBase.DataSeries
@@ -1302,7 +1302,7 @@ function pgfx_sanitize_plot!(plt)
                 end
             elseif value isa Union{AbstractString,AVec{<:AbstractString}}
                 subplot.attr[key] = pgfx_sanitize_string.(value)
-            elseif value isa Axis
+            elseif value isa PlotsBase.Axis
                 for (k, v) ∈ value.plotattributes
                     if v isa Union{AbstractString,AVec{<:AbstractString}}
                         value.plotattributes[k] = pgfx_sanitize_string.(v)
@@ -1594,4 +1594,6 @@ function PlotsBase._display(plt::Plot{PGFPlotsXBackend})
     display(PGFPlotsX.PGFPlotsXDisplay(), plt.o.the_plot)
 end
 
+PlotsBase.@precompile_backend PGFPlotsX
+
 end  # module