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Comments (3)

apple314159 avatar apple314159 commented on May 23, 2024

One possible solution using the decimal package:

from decimal import Decimal
...
    def validate_divisibleBy(self, dB, instance, schema):
        x = Decimal(str(instance))
        y = Decimal(str(dB))
        failed = x % y != Decimal(0)

        if failed:
            self.error(u"%r is not divisible by %r" % (instance, dB))

from jsonschema.

Julian avatar Julian commented on May 23, 2024

I upped the acceptable range for floating point error in 35aeb62. I'm uncomfortable making this always use decimal.Decimal, but doing so yourself is certainly possible:

import decimal
import jsonschema

s = {
                "type": "object",
                "properties": {
                    "price": {
                        "type": "number",
                        "divisibleBy": decimal.Decimal("0.01")
                    }
                }
}

jsonschema.validate({"price": decimal.Decimal("1.09")}, s, number_types=(int, float, decimal.Decimal)) # OK
jsonschema.validate({"price": decimal.Decimal("1.89")}, s, number_types=(int, float, decimal.Decimal)) # OK

With that commit, you should see better behavior for floats anyhow. Let me know how it goes.

from jsonschema.

apple314159 avatar apple314159 commented on May 23, 2024

Agreed that using decimal.Decimal is unnecessarily heavy. Your solution does the job.

from jsonschema.

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