diff --git a/src/Core/palette.jl b/src/Core/palette.jl
index 10f97fe9..75dd3666 100644
--- a/src/Core/palette.jl
+++ b/src/Core/palette.jl
@@ -359,11 +359,11 @@ function show_palette(io::IO=IOContext(stdout, :color => true))
     println(io)
     println(io, fmt.bold, "Mock describe / show", rst)
     println(io)
-    n = open(p.name);
+    n = open(p.name)
     t = open(p.type)
-    v = open(p.value);
+    v = open(p.value)
     kw = open(p.keyword)
-    c = open(p.count);
+    c = open(p.count)
     lb = open(p.label)
     mu = open(p.muted)
     println(io, "  $(n)MyStrategy$(rst) (instance, id=$(kw):gradient$(rst))")
@@ -391,9 +391,9 @@ function show_palette(io::IO=IOContext(stdout, :color => true))
     println(io)
     println(io, fmt.bold, "Mock exception", rst)
     println(io)
-    er = open(p.error);
+    er = open(p.error)
     em = open(p.emphasis)
-    wa = open(p.warning);
+    wa = open(p.warning)
     su = open(p.success)
     println(
         io,
diff --git a/test/suite/core/test_function_utils.jl b/test/suite/core/test_function_utils.jl
index 84a9ae99..40fa5e3e 100644
--- a/test/suite/core/test_function_utils.jl
+++ b/test/suite/core/test_function_utils.jl
@@ -60,8 +60,7 @@ function test_function_utils()
         Test.@testset "to_out_of_place - larger output" begin
             big!(r, x) = (
                 for i in 1:5
-                    ;
-                    r[i] = x * i;
+                    r[i] = x * i
                 end
             )
             big = Core.to_out_of_place(big!, 5)
diff --git a/test/suite/data/test_hamiltonian_vector_field.jl b/test/suite/data/test_hamiltonian_vector_field.jl
index bd2bcbe6..ea26a74e 100644
--- a/test/suite/data/test_hamiltonian_vector_field.jl
+++ b/test/suite/data/test_hamiltonian_vector_field.jl
@@ -445,8 +445,8 @@ function test_hamiltonian_vector_field()
             Test.@testset "OOP NonFixed: variable_costate=true on user-built HVF throws PreconditionError" begin
                 f = (x, p, v) -> (p, -x)   # no variable_costate kwarg
                 hvf = Data.HamiltonianVectorField(f; is_autonomous=true, is_variable=true)
-                x = [1.0];
-                p = [0.5];
+                x = [1.0]
+                p = [0.5]
                 v = [0.1]
                 Test.@test_throws Exception hvf(x, p, v; variable_costate=true)
             end
@@ -456,10 +456,10 @@ function test_hamiltonian_vector_field()
                 hvf = Data.HamiltonianVectorField(
                     f; is_autonomous=true, is_variable=true, is_inplace=true
                 )
-                x = [1.0];
-                p = [0.5];
+                x = [1.0]
+                p = [0.5]
                 v = [0.1]
-                dx = similar(x);
+                dx = similar(x)
                 dp = similar(p)
                 Test.@test_throws Exception hvf(dx, dp, x, p, v; variable_costate=true)
             end
@@ -467,9 +467,9 @@ function test_hamiltonian_vector_field()
             Test.@testset "OOP NonAutonomous NonFixed: variable_costate=true on user-built HVF throws PreconditionError" begin
                 f = (t, x, p, v) -> (p, -x)   # no variable_costate kwarg
                 hvf = Data.HamiltonianVectorField(f; is_autonomous=false, is_variable=true)
-                t = 0.5;
-                x = [1.0];
-                p = [0.5];
+                t = 0.5
+                x = [1.0]
+                p = [0.5]
                 v = [0.1]
                 Test.@test_throws Exception hvf(t, x, p, v; variable_costate=true)
             end
@@ -479,11 +479,11 @@ function test_hamiltonian_vector_field()
                 hvf = Data.HamiltonianVectorField(
                     f; is_autonomous=false, is_variable=true, is_inplace=true
                 )
-                t = 0.5;
-                x = [1.0];
-                p = [0.5];
+                t = 0.5
+                x = [1.0]
+                p = [0.5]
                 v = [0.1]
-                dx = similar(x);
+                dx = similar(x)
                 dp = similar(p)
                 Test.@test_throws Exception hvf(dx, dp, t, x, p, v; variable_costate=true)
             end
@@ -491,8 +491,8 @@ function test_hamiltonian_vector_field()
             Test.@testset "OOP NonFixed: variable_costate=false (default) on user-built HVF works" begin
                 f = (x, p, v) -> (p, -x)
                 hvf = Data.HamiltonianVectorField(f; is_autonomous=true, is_variable=true)
-                x = [1.0];
-                p = [0.5];
+                x = [1.0]
+                p = [0.5]
                 v = [0.1]
                 result = hvf(x, p, v)
                 Test.@test result == (p, -x)
diff --git a/test/suite/data/test_pseudo_hamiltonian_vector_field.jl b/test/suite/data/test_pseudo_hamiltonian_vector_field.jl
index f282952e..ffc933e9 100644
--- a/test/suite/data/test_pseudo_hamiltonian_vector_field.jl
+++ b/test/suite/data/test_pseudo_hamiltonian_vector_field.jl
@@ -467,9 +467,9 @@ function test_pseudo_hamiltonian_vector_field()
                 phvf = Data.PseudoHamiltonianVectorField(
                     f; is_autonomous=true, is_variable=true
                 )
-                x = [1.0];
-                p = [0.5];
-                u = [0.2];
+                x = [1.0]
+                p = [0.5]
+                u = [0.2]
                 v = [0.1]
                 Test.@test_throws Exception phvf(x, p, u, v; variable_costate=true)
             end
@@ -479,11 +479,11 @@ function test_pseudo_hamiltonian_vector_field()
                 phvf = Data.PseudoHamiltonianVectorField(
                     f; is_autonomous=true, is_variable=true, is_inplace=true
                 )
-                x = [1.0];
-                p = [0.5];
-                u = [0.2];
+                x = [1.0]
+                p = [0.5]
+                u = [0.2]
                 v = [0.1]
-                dx = similar(x);
+                dx = similar(x)
                 dp = similar(p)
                 Test.@test_throws Exception phvf(dx, dp, x, p, u, v; variable_costate=true)
             end
@@ -493,10 +493,10 @@ function test_pseudo_hamiltonian_vector_field()
                 phvf = Data.PseudoHamiltonianVectorField(
                     f; is_autonomous=false, is_variable=true
                 )
-                t = 0.5;
-                x = [1.0];
-                p = [0.5];
-                u = [0.2];
+                t = 0.5
+                x = [1.0]
+                p = [0.5]
+                u = [0.2]
                 v = [0.1]
                 Test.@test_throws Exception phvf(t, x, p, u, v; variable_costate=true)
             end
@@ -506,12 +506,12 @@ function test_pseudo_hamiltonian_vector_field()
                 phvf = Data.PseudoHamiltonianVectorField(
                     f; is_autonomous=false, is_variable=true, is_inplace=true
                 )
-                t = 0.5;
-                x = [1.0];
-                p = [0.5];
-                u = [0.2];
+                t = 0.5
+                x = [1.0]
+                p = [0.5]
+                u = [0.2]
                 v = [0.1]
-                dx = similar(x);
+                dx = similar(x)
                 dp = similar(p)
                 Test.@test_throws Exception phvf(
                     dx, dp, t, x, p, u, v; variable_costate=true
@@ -523,9 +523,9 @@ function test_pseudo_hamiltonian_vector_field()
                 phvf = Data.PseudoHamiltonianVectorField(
                     f; is_autonomous=true, is_variable=true
                 )
-                x = [1.0];
-                p = [0.5];
-                u = [0.2];
+                x = [1.0]
+                p = [0.5]
+                u = [0.2]
                 v = [0.1]
                 result = phvf(x, p, u, v)
                 Test.@test result == (p, -x)
diff --git a/test/suite/differentiation/test_arg_placement.jl b/test/suite/differentiation/test_arg_placement.jl
index 785fb762..d5ed5d46 100644
--- a/test/suite/differentiation/test_arg_placement.jl
+++ b/test/suite/differentiation/test_arg_placement.jl
@@ -90,9 +90,9 @@ function test_arg_placement()
             b = _default_backend()
             # H(t, x, p, v) = t*v + ½‖p‖² + ‖x‖²
             H(t, x, p, v) = t * v + 0.5 * sum(p .^ 2) + sum(x .^ 2)
-            t = 1.0;
-            x = [1.0, 2.0];
-            p = [3.0, 4.0];
+            t = 1.0
+            x = [1.0, 2.0]
+            p = [3.0, 4.0]
             v = 5.0
             # ∂H/∂x = 2x (slot 2), consts in order t,p,v
             gx = Differentiation.differentiate(b, H, Val(2), x, t, p, v)