I have lost count of how many times I have wanted to find substrings, transform cases, catenate strings, find patterns, substitute patterns. I'd be happy to do that in a language that didn't permit me to index the underlyinc characters or the bytes. Keep 'em opaque, sure. But I think it would be a mistake for a language not to have an idiom with a favorite library to perform these operations on encoded text. If resolving library dependencies is easy enough, then it doesn't need to be "standard" but it should be "the defacto standard." And if it turns out the defacto standard stagnates and doesn't keep up with the needs of developers, a new one can come take its place.
Swift is pretty pedantically strict about Unicode correctness, and avoids some pitfalls which lead to incorrect handling (e.g., integer-based indexing). This means that the traditional way many developers might be used to interacting with strings is cumbersome and annoying — but once you get past the initial hurdle*, most operations are actually (1) really easy, especially when expressed in terms of generic Sequence/Collection operations, and (2) much more difficult to get wrong.
*I think the largest part of that hurdle is overcoming what you may have gotten used to from other languages, i.e., treating strings as an array of "characters", for some language/library definition of "character" (whether bytes, code points, etc.). It's relatively rare that you actually care about indexing into an arbitrary spot in a string: instead, combinations of slicing operations (including `prefix(_:)`, `dropFirst(_:)`, `take(while:)`, etc.) and generic Collection operations will get you what you want. Things like `.reversed()`, `.sorted(), and `.shuffled()` all work trivially correctly too (since you're not operating on a bag of bytes), and it's exceedingly rare that user input will confound the operations you might need to perform. (Exception: operations like case folding and collection, which are locale-specific, need special handling through a framework like Foundation.)
To be clear: not everything is sunshine and roses, but an amazing amount of functionality "falls out" of basic protocol conformances on String, and its exposure as a Collection of grapheme clusters.
Given a specific string manipulation task, I'd be happy to provide an example of what it might look like in Swift!
One thing to note: aside from programming interviews, these operations are fairly rare. And that's a good thing, because none of these produce results that are very intuitive, because they are not very well defined on strings in general (I don't fault Swift for this, but it's just a general problem with text). Using any of these to create a new String may cause entirely new characters to show up, or the length of the text to change. So Swift actually doesn't expose these as "string" operations, but operations on the characters themselves; in each case returning a new collection of characters that is not a String. Now, you can reconstitute them into a String pretty easily, but you should keep the this in mind when doing so.
How would you safely get the nth index of a string, clamped to the valid indexes? So if the nth index is out-of-bounds you get the first/last index instead?
extension String {
func character(atClampedIndex index: Int) -> Character? {
guard !self.isEmpty else {
return nil
}
let clamped = max(0, min(index, count - 1))
return self[self.index(startIndex, offsetBy: clamped)]
}
}That sounds nice and all, but wr have 50+ years of protocols and formats and APIs built up around strings. Unless you're just writing code to run on a small microcontroller, you need to be able to parse and generate strings. So its going to be pretty frustrating not to have good support for them, or to have every codebase use its own libraries and idioms for working with strings.
When have you last browsed the web using telnet? It's all plain text, so you should be able to, right? Press Ctrl-U right now and get a taste of how readable it is, and even that is with the benefit of syntax highlighting.
On the machine level, processing binary data is effortless. At most, you have to swap the bytes around to conform to wrong-endian network byte order. Check that the length of the data fits into your buffer. Not a problem with Zig, or any language that doesn't silently ignore integer overflow as C does!
Scripting languages make handling strings seem easy, because that's what they were built for. And of course in most languages there are "mature" libraries for parsing JSON or XML. But all the fundamental complexity is still there. Each layer of abstraction may introduce some bug that can be exploited. Compared to classical buffer overflows, it may take several more steps to gain arbitrary code execution, but every bit of extra code you depend on still increases the attack surface.
Ideally, only user interface code should be dealing with strings at all, but legacy protocols may unfortunately require it too. This should be isolated as much as possible from the rest of any application, and not dictate what features are "first class" in a programming language.
Edit: so far these examples have been given:
* HTTP: wrong. the spec does not tell you to decode any strings
* CSV: wrong. the spec does not tell you to decode any strings, nor is it necessary to have any unicode awareness in order to properly read and parse the data or deal with the delimiters.
Additional request: if you attempt to provide a counter-example, please also point to the place in the spec where it tells you to decode a string.
1. "JSON syntax describes a sequence of Unicode code points. JSON also depends on Unicode in the hex numbers used in the \u escapement notation."
2. "A JSON text is a sequence of tokens formed from Unicode code points that conforms to the JSON value grammar."
3. "A string is a sequence of Unicode code points wrapped with quotation marks (U+0022). All code points may be placed within the quotation marks except for the code points that must be escaped: quotation mark (U+0022), reverse solidus (U+005C), and the control characters U+0000 to U+001F. There are two-character escape sequence representations of some characters."
4. "Any code point may be represented as a hexadecimal escape sequence. The meaning of such a hexadecimal number is determined by ISO/IEC 10646. If the code point is in the Basic Multilingual Plane (U+0000 through U+FFFF), then it may be represented as a six-character sequence: a reverse solidus, followed by the lowercase letter u, followed by four hexadecimal digits that encode the code point."
5. "Note that the JSON grammar permits code points for which Unicode does not currently provide character assignments."
JSON does require Unicode awareness, both for general parsing, and for correctly interpreting strings. Backslashes are allowed for special escape characters, which means that you must be aware of the format (and the encoding of the text) in order to be able to decode.
Note that JSON also doesn't specify a required encoding, only Unicode correctness, so a parser may need to be able to handle multiple Unicode encodings and differentiate between them.
The spec doesn't specify what to do with code points which are not understood as Unicode (given especially the allowance for unassigned characters), but explicitly-invalid Unicode should be rejected.
[1] https://www.ecma-international.org/wp-content/uploads/ECMA-4...
If you have valid UTF-8 already, then yes, the task is a lot easier. But depending on the level at which you're parsing, this might not be the case — i.e., if you're writing a JSON parser from the ground up, you do need to know what UTF-8 and Unicode are, and will need to validate the input data.
> Converting the unicode character escape codes to utf-8 would require knowledge of utf-8 encoding
Agreed. Even if you're not working at the "array-of-bytes" level, you will need to be able to parse and translate "\u..."-style strings into the appropriate output character encoding.
> but this unescaping is not a feature that would be provided by the language regardless.
I'm not sure we're talking about this being handled at the language level. This translation is something that would likely be offered at the parser level (working with the features offered by the standard library), but the parser does need to know about it — and does need to be able to work with strings at a granular level to be able to parse it out. By definition, it cannot leave the input data as an undecoded bag of bytes.
Note, too, that the JSON spec does not specifically require UTF-8. UTF-16 is a completely valid encoding for JSON (though much less common than UTF-8), in which case none of these characters are an ASCII subset, and greater awareness is needed to be able to handle this.
But all it's doing here is taking a hex string (which is entirely ASCII) and converting it into the respective hex representation. Since ASCII translates unambiguously to bytes, it doesn't really matter if `str[0]` is operating on a byte stream, codepoint stream or grapheme stream, because in utf8, they're all the same thing as long as we're within the ASCII range.
Where things get hairy is stuff like `str.reverse()` over arbitrary strings that may or may not be in ASCII. This repo[0] talks about some of the challenges associated with conflating characters with either bytes or codepoints. The problem is that programming languages often approach strings from the wrong angle: you can't just tack on handling of multi-byte codepoints on top of ascii handling; you lose O(1) random access and you don't actually model the linguistic domain properly by doing so, because in the first place, humans think of characters not in terms of bytes or codepoints, but in terms of grapheme clusters. Clustering correctness falls deep in the realm of linguistics, and is therefore arguably more suitable to be handled by a library than a programming language.
> hex string (which is entirely ASCII)
My point is that JSON doesn't need to be UTF-8 or a superset of ASCII to be valid. It can be any representation of Unicode, including UTF-16, UTF-32, GB 18030, etc.; so long as the text is is comprised of Unicode code points in some Unicode transformation format, the JSON is valid.
As I said in the parent comment: if you are working within UTF-8 exclusively, and can assume valid UTF-8, then great! But this isn't necessarily true, and in some cases, you will still need to care about the encoding.
(Either way, this starts straying slightly from the more general discussion at hand: regardless of the encoding of the string, you will still need an ergonomic way of interacting with the contents of the data in order to meaningfully parse the contents — even past the hurdle of decoding from arbitrary bytes, you still need to manipulate the data reasonably. In some cases, this means working with a buffer of bytes; in others, it makes sense to manipulate the data as a string... In which case, you may run into some of the string manipulation ergonomic considerations being discussed around these comments.)
Sure, it can also be gzipped, encrypted, etc but that goes back to the point that there's nothing inherently special about JSON as it relates to encoding to a byte stream. All there is to it is that somewhere in a program there's an encode/decode contract to extract meaning out of the byte stream, and in a protocol one most likely only looks at byte streams as sequences of bytes (because performance-wise, it doesn't make sense to look at payload size in terms of number of codepoints/graphemes at a protocol level)
Case sensitivity, ordering, and case changing rules, are reasons not only to have strings, but extensive culture support built into them. String types also let you compare utf16 bytes to utf8 bytes, for example.
To think that strings are opaque bytes is massively naive. It presumes one encoding exists, the input is always valid, in addition to what is said above.
An example of what you're setting yourself up for, is an exploit based around differences in handling invalid utf8.
CSV is defined in terms of characters, not bytes, so CSV parsing does require you to be encoding-aware: if your CSV file is encoded as UTF-16, bytewise parsing will destroy the data.
That doesn't make sense. If you're working with utf16, why would you slice bytewise? That's like slicing a zip file bytewise and wondering why it got corrupted.
The whole point of the argument for string support at a library level (rather than assuming some sort of equivalence between stringness and its underlying byte buffer at the language level) is that fixed width bytes fundamentally cannot model human language characters unambiguously because what a "character" is depends on the encoding/decoding contract of the program manipulating the byte buffer.
Assuming equivalence between 0x2C and `,` stems from the ancient history of ASCII, english and usage of C `char` as a mechanism to squeeze performance out of string operations by not properly supporting the full gamut of valid human language characters.
For a low level language that might be used to implement protocols, it totally makes sense that foo.len is length in bytes, because you're pretty much never going to want to know number of grapheme clusters at a protocol level. It doesn't make sense for a language level .len to be length in terms of codepoint count because that assumes encoding, which is fundamentally a business logic level concern.
I could create a standard library called "arrayofbytes" that lets you, for example:
- Search an array of bytes for a smaller array of bytes
- Split up an array of bytes based on an array of delimiter bytes
- Selectively convert an array of bytes in range 41-5A to bytes in the range 61-7A
But wouldn't it be more appropriate to describe these as "string handling" functions using the generally accepted terminology of our profession?
[1]: https://eclecticlight.co/2021/05/08/explainer-unicode-normal...
Which should be ascii though no?
> the spec does not tell you to decode any strings
Which "spec" is that? My user ask for csv, see csv, upload csv, do SEARCH on CSV, transform them, etc. Even do some scripting on them.
Nowhere, EVER "opaque encoded bytes" is on the spec of the users!
This is a validation pass only and it doesn't make any meaning of the code points, except to validate that none of them are surrogate code points (disallowed in UTF-8).
s := "naïve"
// bad
fmt.Println(len(s)) // 6
fmt.Println(string(s[2])) // Ã
// good
r := []rune(s)
fmt.Println(len(r)) // 5
fmt.Println(string(r[2])) // ï
IMO they are a great example of how Golang is a pragmatic rather than "clever" or "pure" programming language.
I suggested no such thing.
> individual codepoints inside grapheme clusters
That's less severe than invalid codepoints.
Perhaps the whole thing whichever way it is represented should not be mutable given that there's no way to make it mutable in a sensible way?
>>> "ñ"[0]
'n'
>>> "ñ"[1]
'̃' >>> "ñ"[0]
'ñ'
>>> "ñ"[1]
IndexError: string index out of range
import unicodedata list(unicodedata.normalize('NFD', "ñ")) >> ['n', '̃']
list(unicodedata.normalize('NFC', "ñ")) >> ['ñ']
both are correct, the issue is that unicode allows accented letters to be written as _accented_letter_ or _letter_, _accent_. The idea of "character" in uncicode is not very useful, most of the time you will want graphemes, not codepoints. User-friendliness wise, this is what Python should use (another rant - strings should not have length method, they should have byte_length, codepoint_length and grapheme_length).
Ah, interesting, I suppose then there is a difference in the way Linux handles strings? Didn't realize that, very unfortunate if true. I am running MacOS.
>>> b'n\xcc\x83'.decode()
'ñ'
>>> b'n\xcc\x83'.decode()[0]
'n'
>>> b'n\xcc\x83'.decode()[1]
'̃'
Classic Andy, shitting on other language with no references or examples. Go has some of the best string handling I've used. Seamless byte, rune, string conversion. Simple iterating and slicing. Plus helpful tools like strings.Builder and strconv.AppendInt. while Zig has nothing.
https://play.golang.com/p/Dla3sXciYXC
I also think string handling in Go is pretty sane. But range vs indexing on strings is something you need to be aware of.
https://godocs.io/strings#Builder
ArrayList cant do that. And strconv.AppendInt can convert a number to byte slice, then it appends to an existing byte slice. formatInt cant do that.
"appends to an existing byte slice" is not a completely coherent thing to ask for. If I give you a byte slice, the byte after the end it might belong to something else. If you want to deallocate my byte slice and make a new, replacement byte slice, you'll need an allocator to do that. An ArrayList(u8) has a byte slice, and knows how much of it is unused, and has an allocator so it can make a new larger byte slice if needed, and exposes a writer so that you can call std.format.formatInt to write into the byte slice (or allocate a new byte slice, copy the entire contents, and write into the new one, if appropriate).
> strconv.AppendInt can convert a number to byte slice, then it appends to an existing byte slice. formatInt cant do that.
As we have learned just now, we actually can use formatInt to append a formatted int to an existing byte slice (to the extent that that's a meaningful thing to ask for), by passing it the writer exposed by an ArrayList(u8)!
Is your complaint that you're not aware of any function in Zig that takes a u32 representing a Unicode codepoint and encodes it to UTF-8 and writes it to a writer (which is what "appending a rune" seems to mean)?
Is your complaint that people do not, by convention, allocate new, larger byte slices without an explicit reference to an allocator?
Is your complaint is that Zig does not have a garbage collector?
Can you share a Go program that uses the Go stdlib functions and cannot be trivially ported to use the Zig stdlib functions instead, for some reason other than that Zig programs must decide where the bytes will live, and Go programs need not do that?
Heres an easy one:
My original comment, was that Andrew has a habit of shitting on other languages without proper references or examples. Nothing you can really say is going to change Andrews behavior, so maybe you should stop, unless you can justify Andrews comments.
Most of the difference comes from the demand that we represent unicode codepoints as integers at some point in the program, which is a nonsensical thing to do, because unicode codepoints don't correspond to anything useful in the actual text being represented.
You seem to have a habit of making false claims about the standard libraries of languages you dislike, and when pressed on the matter ask other people to do your homework. I certainly should stop doing other people's homework.
So for Andrew to shit on Go string handling with not a single example is rude, and frankly just wrong as I have demonstrated.
Python has the GIL.
Go itself has a few such cases (usually revolving around "NIH" and misguided simplicity).
Zig has the prejudice about proper string handling.
You are welcome to show fast single-core python interpreter without GIL. Coreteam will gladly accept your patches.
I always like to ask for what kind of task one needs GILless python?
CPU bound? If you are using native python code for CPU bound tasks you are already in a bad place. C extensions can release GIL. For example numpy.
What else?
> CPU bound? If you are using native python code for CPU bound tasks you are already in a bad place.
While I think you may have misread my comment for a value judgement on Python's GIL, I don't see as particularly useful dismissing major potential (multithreaded) performance gains for a slow language just because there's faster languages. Languages that are better in some way - like speed - should stand as a benchmark and a goal, not a reason to give up improvements.
I would even argue that having string handling in a standard library (or language) has the potential to cause a net increase in bugs, because of people thinking they are handling strings when actually they are just screwing around with codepoints. Go's string handling is completely broken, for example. As a result of strings in the language, Go programs tend to be more broken than C programs in terms of string handling.