MNT #1206 remove commented code

ophyd/tests/test_utils.py

@@ -151,12 +151,11 @@ def test_set_signal_to_None():
         [[1, 2, 3], [1, 2, 3], [], None, None, True],  # identical
         [[1, 2, 3], [0, 0, 0], [], None, None, False],  # b has different values
         [[1, 2, 3], [1, 2, 3, 0], [], None, None, False],  # different shape
-        # [[1, 2, 3, 0], [1, 2, 3], [], None, None, False],  # len(a) > len(b)
+        # [[1, 2, 3], [1, 2, 3, 0], [], None, 1e-8, False],  # raises ValueError
         [5, [1, 2, 3], [], None, None, False],  # not the same type
         [[1, 2, 3], 5, [], None, None, False],  # not the same type
         # numpy arrays
         [[1, 2, 3], np.array([1, 2, 3]), [], None, None, True],  # identical
-        # [[1, 2, 3], np.array([1, 2, 3, 0]), [], None, None, True],  # len(a)
         # tuple
         [(1, 2, 3), np.array([1, 2, 3]), [], None, None, True],  # identical
         # with tolerance

ophyd/utils/epics_pvs.py

@@ -338,16 +338,6 @@ def _compare_maybe_enum(a, b, enums, atol, rtol):
         # then compare the strings
         return a == b
 
-    # array_like = (list, np.ndarray, tuple)
-    # if isinstance(a, array_like) and isinstance(b, array_like):
-    #     a = np.array(a)  # target
-    #     b = np.array(b)  # reported by EPICS
-    #     if len(a.shape) == 1 and len(b.shape) == 1 and len(a) < len(b):
-    #         b = b[: len(a)]  # cut 1-D EPICS array down to requested size
-
-    #     if a.shape != b.shape:
-    #         return False
-
     # if either relative/absolute tolerance is used, use numpy
     # to compare:
     if atol is not None or rtol is not None: