From 04088dcb0f1c7d91b57026b7768128e89cf2e52e Mon Sep 17 00:00:00 2001 From: "pre-commit-ci[bot]" <66853113+pre-commit-ci[bot]@users.noreply.github.com> Date: Mon, 11 Nov 2024 20:18:30 +0000 Subject: [PATCH] [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci --- src/hdmf/container.py | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/src/hdmf/container.py b/src/hdmf/container.py index 2b2168e0f..2e65c70bf 100644 --- a/src/hdmf/container.py +++ b/src/hdmf/container.py @@ -723,12 +723,12 @@ def _generate_field_html(self, key, value, level, access_code): return f'
{key}: {value}
' - # 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__