remove redundant to_N

JuliaReach · May 15, 2019 · b1420d1 · b1420d1
1 parent 05ae54d
commit b1420d1
Showing 1 changed file with 9 additions and 9 deletions.
diff --git a/test/unit_box_approximation.jl b/test/unit_box_approximation.jl
@@ -37,31 +37,31 @@ for N in [Float64, Rational{Int}, Float32]
     # Testing box_approximation_symmetric (= symmetric interval hull)
     # ===================================================================
     # Box approximation of a 2D square
-    b = BallInf(N[1, 1], to_N(N, 0.1))
+    b = BallInf(N[1, 1], N(0.1))
     h = box_approximation_symmetric(b)
-    hexp = Hyperrectangle(N[0, 0], to_N(N, [1.1, 1.1]))
+    hexp = Hyperrectangle(N[0, 0], N[1.1, 1.1])
     @test h.center ≈ hexp.center
     @test h.radius ≈ hexp.radius
 
     # Box approximation of a 2D unit ball in the 1-norm
-    b = Ball1(N[1, -2], to_N(N, 0.2))
+    b = Ball1(N[1, -2], N(0.2))
     h = box_approximation_symmetric(b)
-    hexp = Hyperrectangle(N[0, 0], to_N(N, [1.2, 2.2]))
+    hexp = Hyperrectangle(N[0, 0], N[1.2, 2.2])
     @test h.center ≈ hexp.center
     @test h.radius ≈ hexp.radius
 
     # Box approximation of a 3D unit ball in the 1-norm
-    b = Ball1(N[1, 2, 0], to_N(N, 0.1))
+    b = Ball1(N[1, 2, 0], N(0.1))
     h = box_approximation_symmetric(b)
-    hexp = Hyperrectangle(N[0, 0, 0], to_N(N, [1.1, 2.1, 0.1]))
+    hexp = Hyperrectangle(N[0, 0, 0], N[1.1, 2.1, 0.1])
     @test h.center ≈ hexp.center
     @test h.radius ≈ hexp.radius
 
     # Box approximation of a 4D hyperrectangle
-    b = Hyperrectangle(to_N(N, [-1.5, -2.5, 2.4, -0.4]),
-                       to_N(N, [0.1, 0.2, 0.3, 0.4]))
+    b = Hyperrectangle(N[-1.5, -2.5, 2.4, -0.4],
+                       N[0.1, 0.2, 0.3, 0.4])
     h = box_approximation_symmetric(b)
-    hexp = Hyperrectangle(zeros(N, 4), to_N(N, [1.6, 2.7, 2.7, 0.8]))
+    hexp = Hyperrectangle(zeros(N, 4), N[1.6, 2.7, 2.7, 0.8])
     @test h.center ≈ hexp.center
     @test h.radius ≈ hexp.radius