add tests and CI

Project.toml

@@ -3,11 +3,18 @@ uuid = "925ea013-038b-5ab6-a1ab-e0849925e528"
 authors = ["Nathan Allaire <[email protected]> and contributors"]
 version = "0.1.0"
 
-[compat]
-julia = "1.9"
-
 [deps]
-OpenBLAS32_jll = "656ef2d0-ae68-5445-9ca0-591084a874a2"
+JuliaFormatter = "98e50ef6-434e-11e9-1051-2b60c6c9e899"
 LAPACK_jll = "51474c39-65e3-53ba-86ba-03b1b862ec14"
-proxTV_jll = "700117f8-5dbb-54dd-9908-6f3eb0e21f87"
 LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
+OpenBLAS32_jll = "656ef2d0-ae68-5445-9ca0-591084a874a2"
+proxTV_jll = "700117f8-5dbb-54dd-9908-6f3eb0e21f87"
+
+[compat]
+julia = "1.9"
+
+[extras]
+Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"
+
+[targets]
+test = ["Test"]

test/Project.toml

@@ -1,2 +1,4 @@
 [deps]
 Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"
+LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
+JuliaFormatter = "98e50ef6-434e-11e9-1051-2b60c6c9e899"

test/runtests.jl

@@ -1,6 +1,20 @@
 using ProxTV
 using Test
+using LinearAlgebra
 
 @testset "ProxTV.jl" begin
-  @test ProxTV.hello_world() == "Hello, World!"
+  # test on a basic function :
+  n = 4
+  x = rand(n)
+  p = 2.0
+  @test isapprox(ProxTV.LPnorm(x, n, p), norm(x), atol = 1e-5)
+
+  # test on a more advanced function :
+  lambda = 0.18
+  info = []
+  y = rand(n)
+  x = zeros(n)
+  ws = ProxTV.newWorkspace(n)
+  @test ProxTV.TV(y, lambda, x, info, n, p, ws) == 1 # 1 is the expected return value of the function
+
 end