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we will need to have some kind of conversion for the different input-datatypes (millisievert, microsievert, rem, etc). on each export request all data needs to be converted to the desired output format
wikipedia has the formulas
The text was updated successfully, but these errors were encountered:
I would say we won't allow them as they are of no use.
Regarding the dimension of a value, we can parse the input before we save it as float, render an appended 'm', 'u', or 'n' to the respective dimension and multiply it with the value.
As we save data types in a model, we need some kind of conversion management.
Something like a many-to-many association model (say, Formula) with DataType on both ends.
Further we have to think about how to handle the conversion logic from a user's perspective.
we will need to have some kind of conversion for the different input-datatypes (millisievert, microsievert, rem, etc). on each export request all data needs to be converted to the desired output format
wikipedia has the formulas
The text was updated successfully, but these errors were encountered: