Remove extraneous comments

tests/test_properties.py

@@ -29,14 +29,12 @@
 
 
 def deep_equal(a, b):
-    """Deep equality check w/ NaN e to handle array metadata serialization and deserialization behaviors"""
+    """Deep equality check with handling of special cases for array metadata classes"""
     if isinstance(a, (complex, np.complexfloating)) and isinstance(
         b, (complex, np.complexfloating)
     ):
-        # Convert to Python float to force standard NaN handling.
         a_real, a_imag = float(a.real), float(a.imag)
         b_real, b_imag = float(b.real), float(b.imag)
-        # If both parts are NaN, consider them equal.
         if np.isnan(a_real) and np.isnan(b_real):
             real_eq = True
         else:
@@ -47,38 +45,31 @@ def deep_equal(a, b):
             imag_eq = a_imag == b_imag
         return real_eq and imag_eq
 
-    # Handle floats (including numpy floating types) and treat NaNs as equal.
     if isinstance(a, (float, np.floating)) and isinstance(b, (float, np.floating)):
         if np.isnan(a) and np.isnan(b):
             return True
         return a == b
 
-    # Handle numpy.datetime64 values, treating NaT as equal.
     if isinstance(a, np.datetime64) and isinstance(b, np.datetime64):
         if np.isnat(a) and np.isnat(b):
             return True
         return a == b
 
-    # Handle numpy arrays.
     if isinstance(a, np.ndarray) and isinstance(b, np.ndarray):
         if a.shape != b.shape:
             return False
-        # Compare elementwise.
         return all(deep_equal(x, y) for x, y in zip(a.flat, b.flat, strict=False))
 
-    # Handle dictionaries.
     if isinstance(a, dict) and isinstance(b, dict):
         if set(a.keys()) != set(b.keys()):
             return False
         return all(deep_equal(a[k], b[k]) for k in a)
 
-    # Handle lists and tuples.
     if isinstance(a, (list, tuple)) and isinstance(b, (list, tuple)):
         if len(a) != len(b):
             return False
         return all(deep_equal(x, y) for x, y in zip(a, b, strict=False))
 
-    # Fallback to default equality.
     return a == b
 
 
@@ -211,7 +202,6 @@ def test_meta_roundtrip(data: st.DataObject, zarr_format: int) -> None:
         zarray_dict = json.loads(buffer_dict[ZARR_JSON].to_bytes().decode())
         metadata_roundtripped = ArrayV3Metadata.from_dict(zarray_dict)
 
-    # Convert both metadata instances to dictionaries.
     orig = dataclasses.asdict(metadata)
     rt = dataclasses.asdict(metadata_roundtripped)