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When processing opil.Measure objects, it will be valuable to check if a user specifies invalid values such as NaN and raise an Exception for these occurrences. This will help with outputting different file formats such as json-ld to ensure that they conform with json requirements.
The text was updated successfully, but these errors were encountered:
tramyn
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Validate for invalid values for opil.Measure objects
Validate invalid values for opil.Measure objects
Apr 9, 2021
When processing opil.Measure objects, it will be valuable to check if a user specifies invalid values such as NaN and raise an Exception for these occurrences. This will help with outputting different file formats such as json-ld to ensure that they conform with json requirements.
The text was updated successfully, but these errors were encountered: