Description
Describe the bug
I have two objects I want to compare with each other. In order to do so I use your package deepdiff. So imagine you have object A and object B. In order to check, if both objects are equal, I did the following:
DeepDiff(self._dict_, other._dict_, ignore_nan_inequality=True, significant_digits=6, math_epsilon=1e-6,
ignore_private_variables=False).
Doing this in case of a list of strings in _dict_, I get the following error:
File "C:...\lib\site-packages\numpy\testing_private\utils.py", line 1039, in compare z = abs(x - y)
TypeError: unsupported operand type(s) for -: 'str' and 'str'.
A quickfix that worked for me in self._diff_numy_array:
If you agree on that quickfix, I can do a PR, if you want to.
To Reproduce
a = np.array(['a', 'b'], dtype=object)
b = np.array(['a', 'b'], dtype=object)
DeepDiff(a, b, significant_digits=6)
Expected behavior
I would expect that passing a dictionary where significant_digits apply to only few entries, in case of the other entries it is just skipped.
OS, DeepDiff version and Python version (please complete the following information):
- OS: Windows
- Version: 10 Enterprise
- Python Version: 3.8.5
- DeepDiff Version: 6.1.0
Additional context
The numpy version I use is 1.22.4