Merge pull request #2022 from JuliaPlots/sd-toml
use Project.toml + clean up test deps
This commit is contained in:
commit
9af5edd04d
1
.gitignore
vendored
1
.gitignore
vendored
@ -7,3 +7,4 @@ examples/meetup/.ipynb_checkpoints/*
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deps/plotly-latest.min.js
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deps/build.log
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deps/deps.jl
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Manifest.toml
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50
.travis.yml
50
.travis.yml
@ -4,57 +4,17 @@ os:
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- linux
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# - osx
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julia:
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# - 1.0
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- 1.1
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- nightly
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# matrix:
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# allow_failures:
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# - julia: nightly
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# # before install:
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# # - if [[ "$TRAVIS_OS_NAME" == "osx" ]]; then brew update ; fi
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# # - if [[ "$TRAVIS_OS_NAME" == "osx" ]]; then brew install wkhtmltopdf; fi
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# ref: http://askubuntu.com/a/556672 for the wkhtmltopdf apt repository info
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matrix:
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allow_failures:
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- julia: nightly
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sudo: required
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before_install:
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- if [[ "$TRAVIS_OS_NAME" == "linux" ]]; then pwd ; fi
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- if [[ "$TRAVIS_OS_NAME" == "linux" ]]; then ./test/install_wkhtmltoimage.sh ; fi
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# - if [[ "$TRAVIS_OS_NAME" == "linux" ]]; then sudo add-apt-repository -y ppa:pov/wkhtmltopdf ; fi
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# - if [[ "$TRAVIS_OS_NAME" == "linux" ]]; then sudo apt-get -qq update ; fi
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# - if [[ "$TRAVIS_OS_NAME" == "linux" ]]; then sudo apt-get install -y wkhtmltopdf ; fi
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# - if [[ "$TRAVIS_OS_NAME" == "linux" ]]; then wkhtmltopdf -V ; fi
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# - if [[ "$TRAVIS_OS_NAME" == "linux" ]]; then wkhtmltoimage -V ; fi
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# echo 'exec xvfb-run -a -s "-screen 0 640x480x16" wkhtmltopdf "$@"' | sudo tee /usr/local/bin/wkhtmltopdf.sh >/dev/null
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# sudo chmod a+x /usr/local/bin/wkhtmltopdf.sh
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# # borrowed from Blink.jl's travis file
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# matrix:
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# include:
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# - os: linux
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# julia: 0.4
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# env: TESTCMD="xvfb-run julia"
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# - os: osx
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# julia: 0.4
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# env: TESTCMD="julia"
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notifications:
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email: true
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# uncomment the following lines to override the default test script
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# script:
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# - if [[ -a .git/shallow ]]; then git fetch --unshallow; fi
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# - julia -e 'import Pkg; Pkg.add(Pkg.PackageSpec(path=pwd())); Pkg.build("Plots")'
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# - julia test/travis_commands.jl
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# - julia -e 'Pkg.clone("ImageMagick"); Pkg.build("ImageMagick")'
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# - julia -e 'Pkg.clone("GR"); Pkg.build("GR")'
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# # - julia -e 'Pkg.clone("https://github.com/tbreloff/ImageMagick.jl.git"); Pkg.checkout("ImageMagick","tb_write"); Pkg.build("ImageMagick")'
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# - julia -e 'Pkg.clone("https://github.com/tbreloff/ExamplePlots.jl.git");'
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# # - julia -e 'Pkg.clone("https://github.com/JunoLab/Blink.jl.git"); Pkg.build("Blink"); import Blink; Blink.AtomShell.install()'
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# # - julia -e 'Pkg.clone("https://github.com/spencerlyon2/PlotlyJS.jl.git")'
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# - julia -e 'ENV["PYTHON"] = ""; Pkg.add("PyPlot"); Pkg.build("PyPlot")'
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#
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# # - $TESTCMD -e 'Pkg.test("Plots"; coverage=false)'
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# - julia -e 'Pkg.test("Plots"; coverage=false)'
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# # - julia -e 'cd(Pkg.dir("Plots")); Pkg.add("Coverage"); using Coverage; Coveralls.submit(process_folder()); Codecov.submit(process_folder())'
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54
Project.toml
Normal file
54
Project.toml
Normal file
@ -0,0 +1,54 @@
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name = "Plots"
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uuid = "91a5bcdd-55d7-5caf-9e0b-520d859cae80"
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[deps]
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Base64 = "2a0f44e3-6c83-55bd-87e4-b1978d98bd5f"
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Contour = "d38c429a-6771-53c6-b99e-75d170b6e991"
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Dates = "ade2ca70-3891-5945-98fb-dc099432e06a"
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FixedPointNumbers = "53c48c17-4a7d-5ca2-90c5-79b7896eea93"
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GR = "28b8d3ca-fb5f-59d9-8090-bfdbd6d07a71"
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GeometryTypes = "4d00f742-c7ba-57c2-abde-4428a4b178cb"
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JSON = "682c06a0-de6a-54ab-a142-c8b1cf79cde6"
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LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
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Measures = "442fdcdd-2543-5da2-b0f3-8c86c306513e"
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NaNMath = "77ba4419-2d1f-58cd-9bb1-8ffee604a2e3"
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Pkg = "44cfe95a-1eb2-52ea-b672-e2afdf69b78f"
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PlotThemes = "ccf2f8ad-2431-5c83-bf29-c5338b663b6a"
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PlotUtils = "995b91a9-d308-5afd-9ec6-746e21dbc043"
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Printf = "de0858da-6303-5e67-8744-51eddeeeb8d7"
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REPL = "3fa0cd96-eef1-5676-8a61-b3b8758bbffb"
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Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
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RecipesBase = "3cdcf5f2-1ef4-517c-9805-6587b60abb01"
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Reexport = "189a3867-3050-52da-a836-e630ba90ab69"
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Requires = "ae029012-a4dd-5104-9daa-d747884805df"
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Showoff = "992d4aef-0814-514b-bc4d-f2e9a6c4116f"
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SparseArrays = "2f01184e-e22b-5df5-ae63-d93ebab69eaf"
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Statistics = "10745b16-79ce-11e8-11f9-7d13ad32a3b2"
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StatsBase = "2913bbd2-ae8a-5f71-8c99-4fb6c76f3a91"
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UUIDs = "cf7118a7-6976-5b1a-9a39-7adc72f591a4"
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[compat]
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FixedPointNumbers = "≥ 0.3.0"
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GR = "≥ 0.31.0"
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PlotThemes = "≥ 0.1.3"
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PlotUtils = "≥ 0.4.1"
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RecipesBase = "≥ 0.6.0"
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StatsBase = "≥ 0.14.0"
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julia = "≥ 1.0.0"
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[extras]
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FileIO = "5789e2e9-d7fb-5bc7-8068-2c6fae9b9549"
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ImageMagick = "6218d12a-5da1-5696-b52f-db25d2ecc6d1"
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Images = "916415d5-f1e6-5110-898d-aaa5f9f070e0"
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LaTeXStrings = "b964fa9f-0449-5b57-a5c2-d3ea65f4040f"
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Pkg = "44cfe95a-1eb2-52ea-b672-e2afdf69b78f"
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RDatasets = "ce6b1742-4840-55fa-b093-852dadbb1d8b"
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Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
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StatsPlots = "f3b207a7-027a-5e70-b257-86293d7955fd"
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Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"
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UnicodePlots = "b8865327-cd53-5732-bb35-84acbb429228"
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VisualRegressionTests = "34922c18-7c2a-561c-bac1-01e79b2c4c92"
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BinaryProvider = "b99e7846-7c00-51b0-8f62-c81ae34c0232"
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[targets]
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test = ["BinaryProvider", "Pkg", "Test", "Random", "StatsPlots", "VisualRegressionTests", "LaTeXStrings", "Images", "ImageMagick", "RDatasets", "FileIO", "UnicodePlots"]
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16
REQUIRE
16
REQUIRE
@ -1,16 +0,0 @@
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julia 1.0
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RecipesBase 0.6.0
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PlotUtils 0.4.1
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PlotThemes 0.1.3
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Reexport
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GeometryTypes
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FixedPointNumbers 0.3
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Measures
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Showoff
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StatsBase 0.14.0
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JSON
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NaNMath
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Requires
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Contour
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GR 0.39.0
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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
test/.gitignore
vendored
Normal file
1
test/.gitignore
vendored
Normal file
@ -0,0 +1 @@
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reference_images
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10
test/REQUIRE
10
test/REQUIRE
@ -1,10 +0,0 @@
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StatsPlots
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Images
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ImageMagick
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@osx QuartzImageIO
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FileIO
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GR 0.31.0
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RDatasets
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VisualRegressionTests
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UnicodePlots
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LaTeXStrings
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@ -1,46 +0,0 @@
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using Pkg
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# need this to use Conda
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# ENV["PYTHON"] = ""
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to_add = [
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# PackageSpec(url="https://github.com/JuliaStats/KernelDensity.jl.git"),
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PackageSpec(name="PlotUtils", rev="master"),
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PackageSpec(name="RecipesBase", rev="master"),
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# PackageSpec(name="Blink", rev="master"),
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# PackageSpec(name="Rsvg", rev="master"),
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# PackageSpec(name="PlotlyJS", rev="master"),
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# PackageSpec(name="VisualRegressionTests", rev="master"),
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# PackageSpec("PyPlot"),
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# PackageSpec("InspectDR"),
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]
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if isinteractive()
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Pkg.develop(PackageSpec(url="https://github.com/JuliaPlots/PlotReferenceImages.jl.git"))
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append!(to_add, [
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PackageSpec(name="FileIO"),
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PackageSpec(name="ImageMagick"),
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PackageSpec(name="UnicodePlots"),
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PackageSpec(name="VisualRegressionTests"),
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PackageSpec(name="Gtk"),
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# PlotlyJS:
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# PackageSpec(name="PlotlyJS"),
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# PackageSpec(name="Blink"),
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# PackageSpec(name="ORCA"),
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# PyPlot:
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# PackageSpec(name="PyPlot"),
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# PackageSpec(name="PyCall"),
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# PackageSpec(name="LaTeXStrings"),
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])
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else
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push!(to_add, PackageSpec(url="https://github.com/JuliaPlots/PlotReferenceImages.jl.git"))
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end
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Pkg.add(to_add)
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Pkg.build("ImageMagick")
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# Pkg.build("GR")
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# Pkg.build("Blink")
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# import Blink
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# Blink.AtomShell.install()
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# Pkg.build("PyPlot")
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@ -1,50 +1,46 @@
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using VisualRegressionTests
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# using ExamplePlots
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if isinteractive()
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@eval Main import Gtk
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end
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# import DataFrames, RDatasets
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# don't let pyplot use a gui... it'll crash
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# note: Agg will set gui -> :none in PyPlot
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# ENV["MPLBACKEND"] = "Agg"
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# try
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# @eval import PyPlot
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# @info("Matplotlib version: $(PyPlot.matplotlib[:__version__])")
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# end
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using Plots
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# using StatsPlots
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import PlotReferenceImages
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using Random
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using Test
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default(size=(500,300))
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# TODO: use julia's Condition type and the wait() and notify() functions to initialize a Window, then wait() on a condition that
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# is referenced in a button press callback (the button clicked callback will call notify() on that condition)
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import Plots._current_plots_version
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# Taken from MakieGallery
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"""
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Downloads the reference images from ReferenceImages for a specific version
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"""
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function download_reference(version = v"0.0.1")
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download_dir = abspath(@__DIR__, "reference_images")
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isdir(download_dir) || mkpath(download_dir)
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tarfile = joinpath(download_dir, "reference_images.zip")
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url = "https://github.com/JuliaPlots/PlotReferenceImages.jl/archive/v$(version).tar.gz"
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refpath = joinpath(download_dir, "PlotReferenceImages.jl-$(version)")
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if !isdir(refpath) # if not yet downloaded
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@info "downloading reference images for version $version"
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download(url, tarfile)
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BinaryProvider.unpack(tarfile, download_dir)
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# check again after download
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if !isdir(refpath)
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error("Something went wrong while downloading reference images. Plots can't be compared to references")
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else
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rm(tarfile, force = true)
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end
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else
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@info "using reference images for version $version (already downloaded)"
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end
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refpath
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end
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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:$(example.header)")
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backend(pkg)
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backend()
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default(size=(500,300))
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# ensure consistent results
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Random.seed!(1234)
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# reference image directory setup
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# refdir = joinpath(Pkg.dir("ExamplePlots"), "test", "refimg", string(pkg))
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refdir = joinpath(dirname(pathof(PlotReferenceImages)), "..", "Plots", string(pkg))
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refdir = joinpath(ref_image_dir, "Plots", string(pkg))
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fn = "ref$idx.png"
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# firgure out version info
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@ -76,7 +72,9 @@ 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(fn)
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end
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||||
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120
test/runtests.jl
120
test/runtests.jl
@ -1,8 +1,11 @@
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module PlotsTests
|
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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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||||
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include("add_packages.jl")
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include("imgcomp.jl")
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|
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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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@ -19,14 +22,6 @@ img_tol = isinteractive() ? 1e-2 : 10e-2
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||||
end
|
||||
end
|
||||
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||||
# @static if isinteractive()
|
||||
# @testset "PyPlot" begin
|
||||
# @test pyplot() == Plots.PyPlotBackend()
|
||||
# @test backend() == Plots.PyPlotBackend()
|
||||
#
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||||
# image_comparison_facts(:pyplot, tol=img_tol, skip = [2, 25, 30, 31])
|
||||
# end
|
||||
# end
|
||||
|
||||
@testset "UnicodePlots" begin
|
||||
@test unicodeplots() == Plots.UnicodePlotsBackend()
|
||||
@ -41,68 +36,6 @@ end
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||||
@test isa(display(p), Nothing) == true
|
||||
end
|
||||
|
||||
# The plotlyjs testimages return a connection error on travis:
|
||||
# connect: connection refused (ECONNREFUSED)
|
||||
|
||||
# @static if isinteractive()
|
||||
# @testset "PlotlyJS" begin
|
||||
# @test plotlyjs() == Plots.PlotlyJSBackend()
|
||||
# @test backend() == Plots.PlotlyJSBackend()
|
||||
#
|
||||
# image_comparison_facts(:plotlyjs,
|
||||
# skip=[
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||||
# 2, # animation (skipped for speed)
|
||||
# 25,
|
||||
# 27, # (polar plots) takes very long / not working
|
||||
# 30,
|
||||
# 31, # animation (skipped for speed)
|
||||
# ],
|
||||
# tol=img_tol)
|
||||
# end
|
||||
# end
|
||||
|
||||
# InspectDR returns that error on travis:
|
||||
# ERROR: LoadError: InitError: Cannot open display:
|
||||
# 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
|
||||
# @test inspectdr() == Plots.InspectDRBackend()
|
||||
# @test backend() == Plots.InspectDRBackend()
|
||||
#
|
||||
# image_comparison_facts(:inspectdr,
|
||||
# skip=[
|
||||
# 2, # animation
|
||||
# 6, # heatmap not defined
|
||||
# 10, # heatmap not defined
|
||||
# 22, # contour not defined
|
||||
# 23, # pie not defined
|
||||
# 27, # polar plot not working
|
||||
# 28, # heatmap not defined
|
||||
# 31, # animation
|
||||
# ],
|
||||
# tol=img_tol)
|
||||
# end
|
||||
|
||||
|
||||
# @testset "Plotly" begin
|
||||
# @test plotly() == Plots.PlotlyBackend()
|
||||
# @test backend() == Plots.PlotlyBackend()
|
||||
#
|
||||
# # # until png generation is reliable on OSX, just test on linux
|
||||
# # @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)
|
||||
# end
|
||||
|
||||
# @testset "PlotlyJS" begin
|
||||
# @test plotlyjs() == Plots.PlotlyJSBackend()
|
||||
# @test backend() == Plots.PlotlyJSBackend()
|
||||
#
|
||||
# # as long as we can plot anything without error, it should be the same as Plotly
|
||||
# image_comparison_facts(:plotlyjs, only=[1], tol=img_tol)
|
||||
# end
|
||||
|
||||
|
||||
|
||||
|
||||
@testset "Axes" begin
|
||||
p = plot()
|
||||
axis = p.subplots[1][:xaxis]
|
||||
@ -120,44 +53,3 @@ end
|
||||
@testset "NoFail" begin
|
||||
histogram([1, 0, 0, 0, 0, 0])
|
||||
end
|
||||
|
||||
# tests for preprocessing recipes
|
||||
|
||||
# @testset "recipes" begin
|
||||
|
||||
# user recipe
|
||||
|
||||
# type T end
|
||||
# @recipe function f(::T)
|
||||
# line := (3,0.3,:red)
|
||||
# marker := (20,0.5,:blue,:o)
|
||||
# bg := :yellow
|
||||
# rand(10)
|
||||
# end
|
||||
# plot(T())
|
||||
|
||||
# plot recipe
|
||||
|
||||
# @recipe function f(::Type{Val{:hiplt}},plt::Plot)
|
||||
# line := (3,0.3,:red)
|
||||
# marker := (20,0.5,:blue,:o)
|
||||
# t := :path
|
||||
# bg:=:green
|
||||
# ()
|
||||
# end
|
||||
# plot(rand(10),t=:hiplt)
|
||||
|
||||
# series recipe
|
||||
|
||||
# @recipe function f(::Type{Val{:hi}},x,y,z)
|
||||
# line := (3,0.3,:red)
|
||||
# marker := (20,0.5,:blue,:o)
|
||||
# t := :path
|
||||
# ()
|
||||
# end
|
||||
# plot(rand(10),t=:hiplt)
|
||||
|
||||
# end
|
||||
|
||||
|
||||
end # module
|
||||
|
||||
@ -1,36 +0,0 @@
|
||||
import SnoopCompile
|
||||
|
||||
### Log the compiles
|
||||
# This only needs to be run once (to generate "/tmp/plots_compiles.csv")
|
||||
|
||||
# SnoopCompile.@snoop "/tmp/plots_compiles.csv" begin
|
||||
# include(joinpath(dirname(@__FILE__), "runtests.jl"))
|
||||
# end
|
||||
|
||||
# ----------------------------------------------------------
|
||||
|
||||
### Parse the compiles and generate precompilation scripts
|
||||
# This can be run repeatedly to tweak the scripts
|
||||
|
||||
# IMPORTANT: we must have the module(s) defined for the parcelation
|
||||
# step, otherwise we will get no precompiles for the Plots module
|
||||
using Plots
|
||||
|
||||
data = SnoopCompile.read("/tmp/plots_compiles.csv")
|
||||
|
||||
# The Plots tests are run inside a module PlotsTest, so all
|
||||
# the precompiles get credited to PlotsTest. Credit them to Plots instead.
|
||||
subst = Dict("PlotsTests"=>"Plots")
|
||||
|
||||
# Blacklist helps fix problems:
|
||||
# - MIME uses type-parameters with symbols like :image/png, which is
|
||||
# not parseable
|
||||
blacklist = ["MIME"]
|
||||
|
||||
# Use these two lines if you want to create precompile functions for
|
||||
# individual packages
|
||||
pc, discards = SnoopCompile.parcel(data[end:-1:1,2], subst=subst, blacklist=blacklist)
|
||||
SnoopCompile.write("/tmp/precompile", pc)
|
||||
|
||||
pdir = joinpath(dirname(@__FILE__), "..")
|
||||
run(`cp /tmp/precompile/precompile_Plots.jl $pdir/src/precompile.jl`)
|
||||
Loading…
x
Reference in New Issue
Block a user