From 52610f8c69617309fcc80b68412edcf1a6537f14 Mon Sep 17 00:00:00 2001
From: Maxime Mouchet <max@maxmouchet.com>
Date: Sat, 10 Oct 2020 19:43:05 +0200
Subject: [PATCH] tests: disable experimental from_dict(...)

---
 test/unit.jl | 27 ++++++++++++++-------------
 1 file changed, 14 insertions(+), 13 deletions(-)

diff --git a/test/unit.jl b/test/unit.jl
index 2f59e11..d208b35 100644
--- a/test/unit.jl
+++ b/test/unit.jl
@@ -304,19 +304,20 @@ end
     d = JSON.parse(json(hmm2))
     @test_broken from_dict(HMM{Multivariate,Float64}, MvNormal, d) == hmm2
 
-    hmm3 = HMM(
-        [0.9 0.1; 0.1 0.9],
-        [
-            MixtureModel([Normal(0, 1)]),
-            MixtureModel([Normal(5, 2), Normal(10, 1)], [0.25, 0.75]),
-        ],
-    )
-    d = JSON.parse(json(hmm3))
-    @test_broken from_dict(
-        HMM{Univariate,Float64},
-        MixtureModel{Univariate,Continuous,Normal,Float64},
-        d,
-    ) == hmm3
+    # /!\ This test fails with Distributions <= v0.23.4, and works otherwise.
+    # hmm3 = HMM(
+    #      [0.9 0.1; 0.1 0.9],
+    #      [
+    #          MixtureModel([Normal(0, 1)]),
+    #          MixtureModel([Normal(5, 2), Normal(10, 1)], [0.25, 0.75]),
+    #      ],
+    #  )
+    #  d = JSON.parse(json(hmm3))
+    #  @test_broken from_dict(
+    #      HMM{Univariate,Float64},
+    #      MixtureModel{Univariate,Continuous,Normal,Float64},
+    #      d,
+    # ) == hmm3
 
     # MixtureModel <-> HMM (stationnary distribution)
     a = [0.4, 0.6]