deepdiff works wrong while comparing two list[dict] #344
Description
Describe the bug
When a list[dict] contains a duplicate object, deepdiff will works wrong.
To Reproduce
expect_value = [{"id": 1}, {"id": 1}, {"id": 1}]
actual_value = [{"id": 1, "name": 1}]
DeepDiff(
expect_value,
actual_value,
view="tree",
ignore_order=True,
report_repetition=True,
cutoff_intersection_for_pairs=1,
cutoff_distance_for_pairs=1,
)Buggy Output = {'dictionary_item_added': [<root[0]['name'] t1:not present, t2:1>, <root[1]['name'] t1:not present, t2:1>, <root[2]['name'] t1:not present, t2:1>]}
Expected behavior
It is supposed to output contains 'iterable_item_removed' report_type.
Expected Output: {'dictionary_item_added': [<root[0]['name'] t1:not present, t2:1>], 'iterable_item_removed': [<root[1] t1:{'id': 1}, t2:not present>, <root[2] t1:{'id': 1}, t2:not present>]}
OS, DeepDiff version and Python version (please complete the following information):
- OS: Windows
- Version 10
- Python Version 3.10.6
- DeepDiff Version 5.8.1
Additional context