• @[email protected]
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      23 days ago

      Because that’s a fundamental aspect of Python. When you’re using a language, you should be familiar with the truthiness values. In Python, it’s pretty sane:

      • [], {}, set(), "", None, False 0 and related values are all “falesy”
      • everything else is truthy

      Basically, if you have non-default values, it’s truthy. Why wouldn’t you trust basic features of the language?

      • Because I have to do the is this falsy to what I’m actually interested conversion in my head.

        Say ur deep inside some complicated piece of logic and u are trying to understand. Now u have a bunch of assumptions in your head. You should be trying to eliminate as many if these assumptions with good code as possible eg u test ur fail case and return/continue that so u don’t need to keep that assumption in ur head.

        Say I then come along a if not x then you have to figure out what is x what is the truthiness of its type. If I come across an if len(x) == 0 then I automatically know that x is some collection of objects and I’m testing its emptiness.

        • @[email protected]
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          03 days ago

          That’s why there’s type hinting, unit tests, and doc strings. I don’t need to guess what the type is intended to be, I can see it.

            • @[email protected]
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              12 days ago

              What’s the extra logic?

              if x:
              

              This always evaluates to True if it’s non-empty. There’s no extra logic.

              If you have to keep 12 things in your head, your code is poorly structured/documented. A given function should be simple, making it plainly obvious what it’s intended to do. Use type hints to specify what a variable should be, and use static analysis to catch most deviations. The more you trust your tools, the more assumptions you can safely make.