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use SHA.jl instead of MD5.jl for testing #285

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Oct 12, 2023
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use SHA.jl instead of MD5.jl for testing #285

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4 changes: 2 additions & 2 deletions Project.toml
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Original file line number Diff line number Diff line change
Expand Up @@ -54,9 +54,9 @@ xrootdgo_jll = "^0.32.1"
Arrow = "69666777-d1a9-59fb-9406-91d4454c9d45"
DataFrames = "a93c6f00-e57d-5684-b7b6-d8193f3e46c0"
InteractiveUtils = "b77e0a4c-d291-57a0-90e8-8db25a27a240"
MD5 = "6ac74813-4b46-53a4-afec-0b5dc9d7885c"
SHA = "ea8e919c-243c-51af-8825-aaa63cd721ce"
Pkg = "44cfe95a-1eb2-52ea-b672-e2afdf69b78f"
Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"

[targets]
test = ["Test", "Pkg", "MD5", "InteractiveUtils", "Arrow", "DataFrames"]
test = ["Test", "Pkg", "SHA", "InteractiveUtils", "Arrow", "DataFrames"]
8 changes: 4 additions & 4 deletions test/runtests.jl
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Expand Up @@ -2,7 +2,7 @@ using Test
using UnROOT, LorentzVectors
using StaticArrays
using InteractiveUtils
using MD5, DataFrames
using DataFrames, SHA

const nthreads = UnROOT._maxthreadid()
nthreads == 1 && @warn "Running on a single thread. Please re-run the test suite with at least two threads (`julia --threads 2 ...`)"
Expand Down Expand Up @@ -136,10 +136,10 @@ end
end

@testset "readbasketsraw()" begin
array_md5 = [0xb4, 0xe9, 0x32, 0xe8, 0xfb, 0xff, 0xcf, 0xa0, 0xda, 0x75, 0xe0, 0x25, 0x34, 0x9b, 0xcd, 0xdf]
rootfile = ROOTFile(joinpath(SAMPLES_DIR, "km3net_online.root"))
array_sha1 = [0x45, 0xab, 0x2c, 0x2a, 0x68, 0x17, 0x1d, 0x32, 0x3b, 0x25, 0x1f, 0x39, 0x01, 0xbe, 0xb7, 0xf3, 0xc9, 0xbf, 0xd3, 0xd6]
rootfile = UnROOT.samplefile("km3net_online.root")
data, offsets = UnROOT.array(rootfile, "KM3NET_EVENT/KM3NET_EVENT/snapshotHits"; raw=true)
@test array_md5 == md5(data)
@test array_sha1 == sha1(data)
close(rootfile)

rootfile = ROOTFile(joinpath(SAMPLES_DIR, "tree_with_jagged_array.root"))
Expand Down
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