> In the end, the only layer at which it really matters whether your byte sequence can be decoded is the font renderer

Ok that explains how we ended up here. I'm considering some other common uses! A search-index for example greatly profits from being able to normalize representations and split words.

Search index use cases probably also benefit from normalizing inputs across encodings, that's no shining example of utf-8-onlyism.

You can still best-effort split words! You can do a pretty good job splitting words without ensuring that the words decode in your preferred encoding.

Here's the thing: I don't want to work in UTF8. I want to work in Unicode. Big difference. Because tracking the encoding of my strings would increase complexity. So at the earliest convenience, I validate my assumptions about encoding and let a lower layer handle it from then on.

I understand you're arguing about some sort of equivalency between byte-arrays and Unicode strings. Sure there are half-baked ways to do word-splitting on a byte-array. But why do you consider that a viable option? Under what circumstances would you do that?

Every circumstance. Why do you consider it unviable? What problems do you think having a Unicode sequence solves?

Convince me. Here's a little library function that turns text into a set of words:

    def keywords(text):
        return set(filter(None, re.split("\W+", unicodedata.normalize("NFKC", input_str).lower())))

How would this look if strings were byte-arrays? How would `normalize()`, `lower()`, and `split()` know what encoding to use?

The way I see it: If the encoding is implicit, you have global state. If it's explicit, you have to pass the encoding. Both is extra state to worry about. When the passed value is a Unicode string, this question doesn't come up.

It looks pretty much the some, except that you assume the input is already in your library's canonical encoding (probably utf-8 nowadays).

I realize this sounds like a total cop-out, but when the use-case is destructively best-effort tokenizing an input string using library functions, it doesn't really matter whether your internal encoding is utf-32 or utf-8. I mean, under the hood, normalize still has to map arbitrary-length sequences to arbitrary-length sequences even when working with utf-32 (see: unicodedata.normalize("NFKC", "a\u0301 ffi") == "\xe1 ffi").

So on the happy path, you don't see much of a difference.

The main observable difference is that if you take input without decoding it explicitly, then the always-decode approach has already crashed long before reaching this function, while the assume-the-encoding approach probably spouts gibberish at this point. And sure, there are plenty of plausible scenarios where you'd rather get the crash than subtly broken behaviour. But ... I don't see this reasonably being one of them, considering that you're apparently okay with discarding all \W+.

I agree with you. I wish Python 3 had strings as byte sequences mainly in UTF-8 as Python 2 had once and Go has now. Then things would be kept simple in Japan. Python 3 feels cumbersome. To handle a raw input as a string, you must decode it in some encoding first. It is a fragile process. It would be adequate to treat the input bytes transparently and put an optional stage to convert other encodings to UTF-8 if necessary.

I know this from PHP, where I have to be aware of the encoding the strings are in. I still don't see what the advantage should be of that.