[pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

src/hdmf/container.py

@@ -723,12 +723,12 @@ def _generate_field_html(self, key, value, level, access_code):
             return f'<div style="margin-left: {level * 20}px;" class="container-fields"><span class="field-key"' \
                    f' title="{access_code}">{key}: </span><span class="field-value">{value}</span></div>'
 
-        # Detects array-like objects that conform to the Array Interface specification 
+        # Detects array-like objects that conform to the Array Interface specification
         # (e.g., NumPy arrays, HDF5 datasets, DataIO objects). Objects must have both
         # 'shape' and 'dtype' attributes. Iterators are excluded as they lack 'shape'.
         # This approach keeps the implementation generic without coupling to specific backends methods
         is_array_data = hasattr(value, "shape") and hasattr(value, "dtype")
-        
+
         if is_array_data:
             html_content = self._generate_array_html(value, level + 1)
         elif hasattr(value, "generate_html_repr"):
@@ -766,12 +766,12 @@ def _generate_array_html(self, array, level):
         elif is_data_io:
             array_info_dict = get_basic_array_info(array.data)
             repr_html = generate_array_html_repr(array_info_dict, array.data, "DataIO")
-        elif it_was_read_with_io: 
+        elif it_was_read_with_io:
             # The backend handles the representation here. Two special cases worth noting:
-            # 1. Array-type attributes (e.g., start_frame in ImageSeries) remain NumPy arrays 
+            # 1. Array-type attributes (e.g., start_frame in ImageSeries) remain NumPy arrays
             #    even when their parent container has an IO
             # 2. Data may have been modified after being read from storage
-            read_io = self.get_read_io() 
+            read_io = self.get_read_io()
             repr_html = read_io.generate_dataset_html(array)
         else:  # Not sure which object could get here
             object_class = array.__class__.__name__