Ben Finney writes:
> Victor Hooi writes:
[- -]
>> For example:
>>
>> {
>> "hostname": "example.com",
>> "version": "3.0.5",
>> "pid": {
>> "floatApprox": 18403
>> }
>> "network": {
>> "bytesIn": 123123,
>> "bytesOut": {
>> "floatApprox": 213123123
>> }
>> }
[- -]
> In JSON there is no distinction at all, the only numeric type is
> ‘float’. What information is there in the input that can be used to
> know which values should result in an ‘int’ instance, versus values
> that should result in a ‘float’ instance?
I seem to get ints in the example data.
>>> json.load(io.StringIO('{"floatApprox":31213}'))
{'floatApprox': 31213}
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