chore!: Update arviz_example_data artifact to v0.4.3

Artifacts.toml

@@ -1,6 +1,6 @@
 [arviz_example_data]
-git-tree-sha1 = "10dfbe816ce1628f5ae460225e082e0eabbe064b"
+git-tree-sha1 = "cb5639396962742e4eab4a5bd561126f19b9e6e3"
 
     [[arviz_example_data.download]]
-    sha256 = "5184099a8b8167e990852f21090dd11592fad79ae400ef04e3710b386a5857aa"
-    url = "https://github.com/arviz-devs/arviz_example_data/archive/refs/tags/v0.3.0.tar.gz"
+    sha256 = "04b55abaf6398da33f52543b00f9eb39dc0f55f9278faad9f5425f856caeb2de"
+    url = "https://github.com/arviz-devs/arviz_example_data/archive/refs/tags/v0.4.3.tar.gz"

Project.toml

@@ -1,7 +1,7 @@
 name = "ArviZExampleData"
 uuid = "2f96bb34-afd9-46ae-bcd0-9b2d4372fe3c"
 authors = ["Seth Axen <seth.axen@gmail.com> and contributors"]
-version = "0.2.0"
+version = "0.3.0"
 
 [deps]
 Artifacts = "56f22d72-fd6d-98f1-02f0-08ddc0907c33"

src/ArviZExampleData.jl

@@ -14,7 +14,6 @@ const EXAMPLE_DATA_DIR = only(readdir(artifact"arviz_example_data"; join=true))
 const LOCAL_DATA_DIR = joinpath(EXAMPLE_DATA_DIR, "data")
 const LOCAL_DATA_FILE = joinpath(EXAMPLE_DATA_DIR, "data_local.json")
 const REMOTE_DATA_FILE = joinpath(EXAMPLE_DATA_DIR, "data_remote.json")
-const DATA_HTTP_PROTOCOL = "https"
 
 include("metadata.jl")
 

src/describe.jl

@@ -16,7 +16,7 @@ This example uses an EPA study of radon levels in houses in Minnesota to constru
 
 See Gelman and Hill (2006) for details on the example, or https://docs.pymc.io/notebooks/multilevel_modeling.html by Chris Fonnesbeck for details on this implementation.
 
-remote: http://ndownloader.figshare.com/files/24067472
+remote: https://ndownloader.figshare.com/files/24067472
 ```
 """
 function describe_example_data end

src/load.jl

@@ -15,17 +15,21 @@ A file is downloaded only when it is requested and then cached for future use.
 
 ```jldoctest
 julia> keys(load_example_data())
-KeySet for a OrderedCollections.OrderedDict{String, ArviZExampleData.AbstractFileMetadata} with 10 entries. Keys:
+KeySet for a OrderedCollections.OrderedDict{String, ArviZExampleData.AbstractFileMetadata} with 14 entries. Keys:
   "centered_eight"
   "non_centered_eight"
   "radon"
   "rugby"
   "rugby_field"
-  "regression1d"
-  "regression10d"
-  "classification1d"
-  "classification10d"
   "glycan_torsion_angles"
+  "crabs_poisson"
+  "crabs_hurdle_nb"
+  "sbc"
+  "anes"
+  "periwinkles"
+  "censored_cats"
+  "roaches_nb"
+  "roaches_zinb"
 
 julia> load_example_data("centered_eight")
 InferenceData with groups:

src/register.jl

@@ -2,8 +2,7 @@ function register_data(md::LocalFileMetadata)
     return DataDeps.register(DataDeps.ManualDataDep(md.name, md.description))
 end
 function register_data(md::RemoteFileMetadata)
-    url = replace(md.url, "http" => DATA_HTTP_PROTOCOL)
-    return DataDeps.register(DataDeps.DataDep(md.name, md.description, url, md.checksum))
+    return DataDeps.register(DataDeps.DataDep(md.name, md.description, md.url, md.checksum))
 end
 
 register_all_data() = map(register_data, values(REMOTE_EXAMPLE_DATA))

test/load.jl

@@ -5,23 +5,30 @@ using Test
 @testset "data loading" begin
     @testset "load_example_data" begin
         names = [
+            "anes",
+            "censored_cats",
             "centered_eight",
-            "classification10d",
-            "classification1d",
+            "crabs_hurdle_nb",
+            "crabs_poisson",
             "glycan_torsion_angles",
             "non_centered_eight",
+            "periwinkles",
             "radon",
-            "regression10d",
-            "regression1d",
+            "roaches_nb",
+            "roaches_zinb",
             "rugby",
+            "rugby_field",
+            "sbc",
         ]
         datasets = load_example_data()
         @test datasets isa AbstractDict{String,ArviZExampleData.AbstractFileMetadata}
         @test issubset(names, keys(datasets))
-        for name in keys(datasets)
+        @testset for name in keys(datasets)
             idata = load_example_data(name)
             @test idata isa InferenceData
-            @test InferenceObjects.hasgroup(idata, :posterior)
+            if name != "sbc"
+                @test InferenceObjects.hasgroup(idata, :posterior)
+            end
         end
         @test_throws ArgumentError load_example_data("test_absent_dataset")
     end