[issue25457] json dump fails for mixed-type keys when sort_keys is specified

[Aaron Hall]

Aaron Hall <aaronchall at yahoo.com> added the comment:

>From a design standpoint, I'm fairly certain the sort_keys argument was created due to Python's dicts being arbitrarily ordered.

Coercing to strings before sorting is unsatisfactory because, e.g. numbers sort lexicographically instead of by numeric value when strings.

>>> import json
>>> json.dumps({i:i**2 for i in range(15)}, sort_keys=True)
'{"0": 0, "1": 1, "2": 4, "3": 9, "4": 16, "5": 25, "6": 36, "7": 49, "8": 64, "9": 81, "10": 100, "11": 121, "12": 144, "13": 169, "14": 196}'
>>> json.dumps({str(i):i**2 for i in range(15)}, sort_keys=True)
'{"0": 0, "1": 1, "10": 100, "11": 121, "12": 144, "13": 169, "14": 196, "2": 4, "3": 9, "4": 16, "5": 25, "6": 36, "7": 49, "8": 64, "9": 81}'

Changing the order of operations is just going to create more issues, IMHO.

Now that users can sort their dicts prior to providing them to the function, e.g.:

>>> json.dumps({str(i):i**2 for i in range(15)})
'{"0": 0, "1": 1, "2": 4, "3": 9, "4": 16, "5": 25, "6": 36, "7": 49, "8": 64, "9": 81, "10": 100, "11": 121, "12": 144, "13": 169, "14": 196}'

we could deprecate the argument, or just keep it as-is for hysterical raisins.

Regardless, I'd close this as "won't fix".

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<https://bugs.python.org/issue25457>
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