New submission from Brandt Bucher <brandtbuc...@gmail.com>:
To my surprise, it seems that it's possible to create "small" integers that should live in _PyLong_SMALL_INTS, but don't. Here are two examples I've found: >>> import decimal >>> i = int(decimal.Decimal(42)) # Modules/_decimal/_decimal.c:dec_as_long >>> i 42 >>> i is 42 <stdin>:1: SyntaxWarning: "is" with a literal. Did you mean "=="? False >>> i = int.from_bytes(bytes([42])) # >>> Objects/longobject.c:_PyLong_FromByteArray >>> i 42 >>> i is 42 <stdin>:1: SyntaxWarning: "is" with a literal. Did you mean "=="? False I'm not entirely sure if this is "allowed" or not, but in any case it seems beneficial to reach into the small ints here (provided it doesn't hurt performance, of course). I'm testing out simple fixes for both of these now. ---------- assignee: brandtbucher components: Interpreter Core messages: 410437 nosy: brandtbucher priority: normal severity: normal status: open title: Small ints aren't always cached properly type: behavior versions: Python 3.11 _______________________________________ Python tracker <rep...@bugs.python.org> <https://bugs.python.org/issue46361> _______________________________________ _______________________________________________ Python-bugs-list mailing list Unsubscribe: https://mail.python.org/mailman/options/python-bugs-list/archive%40mail-archive.com
