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Need to check whether some countries could have more. This check might not apply to unit values.
Noticed that some publishers have potential floating point issues, like 28274.399999999998
For example, at time of writing this package has that number: https://contratacionesabiertas.osce.gob.pe/api/v1/releasesAfter?format=json&order=desc&searchAfter=1683120791420%2C1209600000000%2Cocds-dgv273-seacev2-951934-2023-05-03T08%3A33%3A11.420620-05%3A00&first=ocds-dgv273-seacev3-2023-10432-11-2023-07-28T08%3A31%3A20.871956-05%3A00
Process loads data with simplejson to avoid floating point issues. Pelican would need to do similar.
The text was updated successfully, but these errors were encountered:
I also see numbers like 276000.0058 in DR's dataset.
276000.0058
In some cases, DR cancels contracts with many decimal places (because the decimal was misplaced – usually where a thousands separator should be).
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Need to check whether some countries could have more. This check might not apply to unit values.
Noticed that some publishers have potential floating point issues, like 28274.399999999998
For example, at time of writing this package has that number: https://contratacionesabiertas.osce.gob.pe/api/v1/releasesAfter?format=json&order=desc&searchAfter=1683120791420%2C1209600000000%2Cocds-dgv273-seacev2-951934-2023-05-03T08%3A33%3A11.420620-05%3A00&first=ocds-dgv273-seacev3-2023-10432-11-2023-07-28T08%3A31%3A20.871956-05%3A00
Process loads data with simplejson to avoid floating point issues. Pelican would need to do similar.
The text was updated successfully, but these errors were encountered: