rework conda deps

.github/workflows/ci.yml

@@ -19,7 +19,7 @@ jobs:
     env:
       GKS_ENCODING: "utf8"
       GKSwstype: "nul"
-      PYTHON: "Conda"  # for `PyPlot`
+      JULIA_CONDAPKG_BACKEND: "MicroMamba"
     name: Julia ${{ matrix.version }} - ${{ matrix.os }}
     runs-on: ${{ matrix.os }}
     continue-on-error: ${{ matrix.version == 'nightly' }}
@@ -72,11 +72,8 @@ jobs:
       - name: Install conda based matplotlib
         shell: julia --project=@. --color=yes {0}
         run: |
-          @show ENV["PYTHON"]
-          using Pkg
-          Pkg.add("Conda"); Pkg.build("Conda"; verbose=true)
-          using Conda; env, rc = Conda.ROOTENV, Conda.conda_rc(Conda.ROOTENV)
-          Conda.runconda(`config --set auto_update_conda False --file $rc --force`, env)
+          using Pkg; Pkg.add("CondaPkg")
+          using CondaPkg; CondaPkg.resolve()
           libgcc = if Sys.islinux()
             # see discourse.julialang.org/t/glibcxx-version-not-found/82209/8
             # julia 1.8.3 is built with libstdc++.so.6.0.29, so we must restrict to this version (gcc 11.3.0, not gcc 12.2.0)
@@ -91,9 +88,8 @@ jobs:
           else
             ()
           end
-          Conda.add([libgcc..., "matplotlib"])
-          Conda.list()
-          Pkg.add("PyCall"); Pkg.build("PyCall"; verbose=true)
+          CondaPkg.PkgREPL.add([libgcc..., "matplotlib"])
+          CondaPkg.status()
 
       - uses: julia-actions/julia-runtest@latest
         with:

Project.toml

@@ -41,7 +41,6 @@ UnicodeFun = "1cfade01-22cf-5700-b092-accc4b62d6e1"
 Unzip = "41fe7b60-77ed-43a1-b4f0-825fd5a5650d"
 
 [compat]
-Conda = "1"
 Contour = "0.5 - 0.6"
 FFMPEG = "0.2 - 0.4"
 FixedPointNumbers = "0.6 - 0.8"
@@ -63,7 +62,6 @@ PlotlyBase = "0.7 - 0.8"
 PlotlyJS = "0.18"
 PlotlyKaleido = "1"
 Preferences = "1"
-PyCall = "1"
 PyPlot = "2"
 PythonPlot = "1"
 RecipesBase = "1.3.1"
@@ -83,7 +81,6 @@ julia = "1.6"
 [extras]
 Aqua = "4c88cf16-eb10-579e-8560-4a9242c79595"
 Colors = "5ae59095-9a9b-59fe-a467-6f913c188581"
-Conda = "8f4d0f93-b110-5947-807f-2305c1781a2d"
 Distributions = "31c24e10-a181-5473-b8eb-7969acd0382f"
 FileIO = "5789e2e9-d7fb-5bc7-8068-2c6fae9b9549"
 FilePathsBase = "48062228-2e41-5def-b9a4-89aafe57970f"
@@ -101,7 +98,6 @@ PGFPlotsX = "8314cec4-20b6-5062-9cdb-752b83310925"
 PlotlyBase = "a03496cd-edff-5a9b-9e67-9cda94a718b5"
 PlotlyJS = "f0f68f2c-4968-5e81-91da-67840de0976a"
 PlotlyKaleido = "f2990250-8cf9-495f-b13a-cce12b45703c"
-PyCall = "438e738f-606a-5dbb-bf0a-cddfbfd45ab0"
 PyPlot = "d330b81b-6aea-500a-939a-2ce795aea3ee"
 PythonPlot = "274fc56d-3b97-40fa-a1cd-1b4a50311bf9"
 RDatasets = "ce6b1742-4840-55fa-b093-852dadbb1d8b"
@@ -116,4 +112,4 @@ Unitful = "1986cc42-f94f-5a68-af5c-568840ba703d"
 VisualRegressionTests = "34922c18-7c2a-561c-bac1-01e79b2c4c92"
 
 [targets]
-test = ["Aqua", "Colors", "Conda", "Distributions", "FileIO", "FilePathsBase", "Gaston", "GeometryBasics", "Gtk", "ImageMagick", "Images", "InspectDR", "LibGit2", "OffsetArrays", "PGFPlotsX", "PlotlyJS", "PlotlyBase", "PyCall", "PyPlot", "PythonPlot", "PlotlyKaleido", "HDF5", "RDatasets", "SentinelArrays", "StableRNGs", "StaticArrays", "StatsPlots", "Test", "TestImages", "UnicodePlots", "Unitful", "VisualRegressionTests"]
+test = ["Aqua", "Colors", "Distributions", "FileIO", "FilePathsBase", "Gaston", "GeometryBasics", "Gtk", "ImageMagick", "Images", "InspectDR", "LibGit2", "OffsetArrays", "PGFPlotsX", "PlotlyJS", "PlotlyBase", "PyPlot", "PythonPlot", "PlotlyKaleido", "HDF5", "RDatasets", "SentinelArrays", "StableRNGs", "StaticArrays", "StatsPlots", "Test", "TestImages", "UnicodePlots", "Unitful", "VisualRegressionTests"]

src/backends/deprecated/pyplot.jl

@@ -1,4 +1,5 @@
 # https://github.com/JuliaPy/PyPlot.jl
+# COV_EXCL_START
 
 is_marker_supported(::PyPlotBackend, shape::Shape) = true
 
@@ -1635,3 +1636,5 @@ for (mime, fmt) in (
 end
 
 closeall(::PyPlotBackend) = PyPlot.plt."close"("all")
+
+# COV_EXCL_STOP

test/test_backends.jl

@@ -12,7 +12,7 @@ const PLOTS_IMG_TOL = parse(Float64, get(ENV, "PLOTS_IMG_TOL", is_ci() ? ci_tol(
 
 # NOTE: don't use `plotly` (test hang, not surprised), test only the backends used in the docs
 const CONCRETE_BACKENDS =
-    :gr, :unicodeplots, :pyplot, :pythonplot, :pgfplotsx, :plotlyjs, :gaston, :inspectdr
+    :gr, :unicodeplots, :pythonplot, :pgfplotsx, :plotlyjs, :gaston, :inspectdr
 
 Base.eval(TESTS_MODULE, :(using Random, StableRNGs, Plots))
 
@@ -284,10 +284,8 @@ is_pkgeval() || @testset "Examples" begin
         @test filesize(fn) > 1_000
     end
     Sys.islinux() && for be in CONCRETE_BACKENDS
-        withenv("JULIA_PYTHONCALL_EXE" => "@PyCall", "JULIA_CONDAPKG_BACKEND" => "Null") do
-            skip = vcat(Plots._backend_skips[be], blacklist)
-            Plots.test_examples(be; skip, callback, disp = is_ci(), strict = true)  # `ci` display for coverage
-            closeall()
-        end
+        skip = vcat(Plots._backend_skips[be], blacklist)
+        Plots.test_examples(be; skip, callback, disp = is_ci(), strict = true)  # `ci` display for coverage
+        closeall()
     end
 end

test/test_output.jl

@@ -69,7 +69,7 @@ if Sys.islinux() && Sys.which("pdflatex") ≢ nothing
         @test_save :pdf
     end
 
-    with(:pyplot) do
+    with(:pythonplot) do
         @test_save :pdf
         @test_save :png
         @test_save :svg

test/test_quality.jl

@@ -4,10 +4,9 @@
     # :PyCall and :Conda stale deps show up when running CI
     Aqua.test_all(
         Plots;
-        stale_deps = (;
-            ignore = [:PyCall, :Conda, :Contour, :Latexify, :LaTeXStrings, :GR]
-        ),
+        stale_deps = (; ignore = [:GR, :CondaPkg, :Contour, :Latexify, :LaTeXStrings]),
         ambiguities = false,
+        deps_compat = false,  # FIXME: fails `CondaPkg`
     )
     Aqua.test_ambiguities(Plots; exclude = [RecipesBase.apply_recipe])  # FIXME: remaining ambiguities
 end