This is my favourite version of the issue:

е = lambda е, e: е if е > e else e
print(е(2, 1), е(1, 2)) # python 3 outputs: 2 2

https://twitter.com/stestagg/status/685239650064162820?s=21

Steve

On Sat, 13 Nov 2021 at 22:05, <pt...@austin.rr.com> wrote:

> I’ve not been following the thread, but Steve Holden forwarded me the
> email from Petr Viktorin, that I might share some of the info I found while
> recently diving into this topic.
>
>
>
> As part of working on the next edition of “Python in a Nutshell” with
> Steve, Alex Martelli, and Anna Ravencroft, Alex suggested that I add a
> cautionary section on homoglyphs, specifically citing “A” (LATIN CAPITAL
> LETTER A) and “Α” (GREEK CAPITAL LETTER ALPHA) as an example problem pair.
> I wanted to look a little further at the use of characters in identifiers
> beyond the standard 7-bit ASCII, and so I found some of these same issues
> dealing with Unicode NFKC normalization. The first discovery was the
> overlapping normalization of “ªº” with “ao”. This was quite a shock to me,
> since I assumed that the inclusion of Unicode for identifier characters
> would preserve the uniqueness of the different code points. Even ligatures
> can be used, and will overlap with their multi-character ASCII forms. So we
> have added a second note in the upcoming edition on the risks of using
> these “homonorms” (which is a word I just made up for the occasion).
>
>
>
> To explore the extreme case, I wrote a pyparsing transformer to convert
> identifiers in a body of Python source to mixed font, equivalent to the
> original source after NFKC normalization. Here are hello.py, and a snippet
> from unittest/utils.py:
>
>
>
> def 𝚑𝓮𝖑𝒍𝑜():
>
>     try:
>
>         𝔥e𝗅𝕝𝚘︴ = "Hello"
>
>         𝕨𝔬r𝓵ᵈ﹎ = "World"
>
>         ᵖ𝖗𝐢𝘯𝓽(f"{𝗵e𝓵𝔩º_}, {𝖜ₒ𝒓lⅆ︴}!")
>
>     except 𝓣𝕪ᵖe𝖤𝗿ᵣ𝖔𝚛 as ⅇ𝗑c:
>
>         𝒑rℹₙₜ("failed: {}".𝕗𝗼ʳᵐªt(ᵉ𝐱𝓬))
>
>
>
> if _︴ⁿ𝓪𝑚𝕖__ == "__main__":
>
>     𝒉eℓˡ𝗈()
>
>
>
>
>
> # snippet from unittest/util.py
>
> _𝓟Ⅼ𝖠𝙲𝗘ℋ𝒪Lᴰ𝑬𝕽﹏𝕷𝔼𝗡 = 12
>
> def _𝔰ʰ𝓸ʳ𝕥𝙚𝑛(𝔰, p𝑟𝔢fi𝖝𝕝𝚎𝑛, sᵤ𝑓𝗳𝗂𝑥𝗹ₑ𝚗):
>
>     ˢ𝗸i𝗽 = 𝐥e𝘯(𝖘) - pr𝚎𝖋𝐢x𝗅ᵉ𝓷 - 𝒔𝙪ffi𝘅𝗹𝙚ₙ
>
>     if ski𝘱 > _𝐏𝗟𝖠𝘊𝙴H𝕺L𝕯𝙀𝘙﹏L𝔈𝒩:
>
>         𝘴 = '%s[%d chars]%s' % (𝙨[:𝘱𝐫𝕖𝑓𝕚xℓ𝒆𝕟], ₛ𝚔𝒊p, 𝓼[𝓁𝒆𝖓(
> 𝚜) - 𝙨𝚞𝒇fix𝙡ᵉ𝘯:])
>
>     return ₛ
>
>
>
>
>
> You should able to paste these into your local UTF-8-aware editor or IDE
> and execute them as-is.
>
>
>
> (If this doesn’t come through, you can also see this as a GitHub gist at 
> Hello,
> World rendered in a variety of Unicode characters (github.com)
> <https://gist.github.com/ptmcg/bf35d5ada416080d481d789988b6b466>. I have
> a second gist containing the transformer, but it is still a private gist
> atm.)
>
>
>
>
>
> Some other discoveries:
>
> “·” (ASCII 183) is a valid identifier body character, making “_···” a
> valid Python identifier. This could actually be another security attack
> point, in which “s·join(‘x’)” could be easily misread as “s.join(‘x’)”, but
> would actually be a call to potentially malicious method “s·join”.
>
> “_” seems to be a special case for normalization. Only the ASCII “_”
> character is valid as a leading identifier character; the Unicode
> characters that normalize to “_” (any of the characters in “︳︴﹍﹎﹏_”) can
> only be used as identifier body characters. “︳” especially could be
> misread as “|” followed by a space, when it actually normalizes to “_”.
>
>
>
>
>
> Potential beneficial uses:
>
> I am considering taking my transformer code and experimenting with an
> orthogonal approach to syntax highlighting, using Unicode groups instead of
> colors. Module names using characters from one group, builtins from
> another, program variables from another, maybe distinguish local from
> global variables. Colorizing has always been an obvious syntax highlight
> feature, but is an accessibility issue for those with difficulty
> distinguishing colors. Unlike the “ransom note” code above, code
> highlighted in this way might even be quite pleasing to the eye.
>
>
>
>
>
> -- Paul McGuire
>
>
>
>
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