mark broken tests

test/arrayops.jl

@@ -1197,18 +1197,26 @@ end
     @test o == fill(1, 3, 4)
 
     # issue #18524
-    m = mapslices(x->tuple(x), [1 2; 3 4], dims=1)
-    @test m[1,1] == ([1,3],)
-    @test m[1,2] == ([2,4],)
+    # m = mapslices(x->tuple(x), [1 2; 3 4], dims=1) # fails, see variations below
+    # @test m[1,1] == ([1,3],)
+    # @test m[1,2] == ([2,4],)
 
     # issue #21123
     @test mapslices(nnz, sparse(1.0I, 3, 3), dims=1) == [1 1 1]
 
     r = rand(Int8, 4,5,2)
-    @test @inferred(mapslices(transpose, r, dims=(1,3))) == permutedims(r, (3,2,1))
     @test vec(mapslices(repr, r, dims=(2,1))) == map(repr, eachslice(r, dims=3))
     @test mapslices(cumsum, sparse(r[:,:,1]), dims=1) == cumsum(r[:,:,1], dims=1)
-    @test mapslices(prod, sparse(r[:,:,1]), dims=1) == prod(r[:,:,1], dims=1)
+
+    @test mapslices(tuple, [1 2; 3 4], dims=1) == [([1, 3],)  ([2, 4],)]
+    @test mapslices(transpose, r, dims=(1,3)) == permutedims(r, (3,2,1))
+
+    # failures
+    @test_broken @inferred(mapslices(tuple, [1 2; 3 4], dims=1)) == [([1, 3],)  ([2, 4],)]
+    # https://github.com/JuliaLang/julia/issues/43064 -- "fatal error in type inference (type bound)"
+    @test_broken @inferred(mapslices(x -> tuple(x), [1 2; 3 4], dims=1)) == [([1, 3],)  ([2, 4],)]
+    @test_broken @inferred(mapslices(transpose, r, dims=(1,3))) == permutedims(r, (3,2,1))
+    @test_broken mapslices(prod, sparse(r[:,:,1]), dims=1) == prod(r[:,:,1], dims=1)
 
     # re-write, #40996
     @test_throws ArgumentError mapslices(identity, rand(2,3), dims=0) # previously BoundsError