Bug-Fix: TypeError in _get_numbers_distance() when ignore_order = True #284
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For lists comparison when ignore_order is True, TypeError occurs as type(_max) = float it doesnt match with other numbers like Decimal.
The cast should be done when numbers are not 'float' type.
Example:
```
from decimal import Decimal
from deepdiff import DeepDiff
from deepdiff.helper import number_to_string
def custom_number_to_string(number, *args, **kwargs):
if type(number) == Decimal:
number = float(number)
return number_to_string(number, *args, **kwargs)
def test_deep_diff():
# a = {'a': [datetime.datetime(2020, 5, 17), datetime.datetime(2020, 6, 17), datetime.datetime(2020, 7, 17)]}
# b = {'a': [datetime.datetime(2020, 7, 17), datetime.datetime(2020, 6, 17), datetime.datetime(2020, 5, 17)]}
a = {'a': [Decimal(1), Decimal(2), Decimal(3), Decimal(5)]}
b = {'a': [Decimal(3), Decimal(2), Decimal(1), Decimal(4)]}
print(DeepDiff(a, b, ignore_order = True, cutoff_distance_for_pairs=1, number_to_string_func=custom_number_to_string))
def main():
test_deep_diff()
if __name__ == "__main__":
main()
```
|
@Dhanvantari Haha, thanks for catching that. |
|
One test fails but I'm gonna fix it. |
Merged
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For lists comparison when ignore_order is True, TypeError occurs as type(_max) = float it doesn't match with other numbers like Decimal.
The cast should be done when numbers are not 'float' type.
Example: