Retry download if it fails

Project.toml

@@ -22,6 +22,7 @@ CategoricalArrays = "0.8, 0.9, 0.10"
 DataFrames = "0.22, 1"
 Distributions = "0.16, 0.17, 0.18, 0.19, 0.20, 0.21, 0.22, 0.23, 0.24, 0.25"
 RDatasets = "0.5, 0.6, 0.7"
+Retry = "0.4"
 Reexport = "0.1, 0.2, 1.0"
 SpecialFunctions = "0.6, 0.7, 0.8, 0.9, 0.10, 1, 2.0"
 Statistics = "1"
@@ -38,8 +39,9 @@ CategoricalArrays = "324d7699-5711-5eae-9e2f-1d82baa6b597"
 DataFrames = "a93c6f00-e57d-5684-b7b6-d8193f3e46c0"
 Downloads = "f43a241f-c20a-4ad4-852c-f6b1247861c6"
 RDatasets = "ce6b1742-4840-55fa-b093-852dadbb1d8b"
+Retry = "20febd7b-183b-5ae2-ac4a-720e7ce64774"
 StableRNGs = "860ef19b-820b-49d6-a774-d7a799459cd3"
 Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"
 
 [targets]
-test = ["CategoricalArrays", "CSV", "DataFrames", "Downloads", "RDatasets", "StableRNGs", "Test"]
+test = ["CategoricalArrays", "CSV", "DataFrames", "Downloads", "RDatasets", "Retry", "StableRNGs", "Test"]

test/runtests.jl

@@ -3,7 +3,7 @@ using CategoricalArrays, CSV, DataFrames, LinearAlgebra, SparseArrays, StableRNG
 using GLM
 using StatsFuns: logistic
 using Distributions: TDist
-using Downloads
+using Downloads, Retry
 
 test_show(x) = show(IOBuffer(), x)
 
@@ -2075,7 +2075,11 @@ end
 end
 
 @testset "NIST - Filip. Issue 558" begin
-    fn = Downloads.download("https://www.itl.nist.gov/div898/strd/lls/data/LINKS/DATA/Filip.dat")
+    fn = @repeat 5 try
+        return Downloads.download("https://www.itl.nist.gov/div898/strd/lls/data/LINKS/DATA/Filip.dat")
+    catch err
+        @delay_retry if err.code == 503 end
+    end
     filip_estimates_df = CSV.read(fn, DataFrame; skipto = 31, limit = 11, header = ["parameter", "estimate", "se"], delim = " ", ignorerepeated = true)
     filip_data_df = CSV.read(fn, DataFrame; skipto = 61, header = ["y", "x"], delim = " ", ignorerepeated = true)
     X = [filip_data_df.x[i]^j for i in 1:length(filip_data_df.x), j in 0:10]