Editing png with a text editor is also much harder than editing ppm. But there is no reason to consider this usecase when defining a image format.
Editing png with a text editor is also much harder than editing ppm. But there is no reason to consider this usecase when defining a image format.
val/var/let/auto declarations destroy the locality of understanding of a variable declaration without an IDE + a required jump-to-definition of a naive code reader. Also, a corollary of this problem also exists: if you don’t have an explicit type hint in a variable declaration, even readers that are using an IDE have to do TWO jump-to-definition actions to read the source of the variable type.
eg.
val foo = generateFoo()
Where generateFoo() has the signature fun generateFoo(): Foo
With the above code one would have to jump to definition on generateFoo, then jump to definition on Foo to understand what Foo is. In a language that requires the explicit type hint at declaration, this is only one step.
There’s a tradeoff here between pleasantries while writing the code vs less immediate local understanding of future readers / maintainers. It really bothers me when a ktlint plugin actually fails a compilation because a code author threw in an “unnecessary” type hint for clarity.
Related (but not directly addressing auto declarations): “Greppability is an underrated code metric”: https://morizbuesing.com/blog/greppability-code-metric/
I want to use a text editor => This is the wrong tool => Yes, but I want to use a text editor.
These people do use the wrong tooling. The only way to cure this grievance is to use proper tooling.
The github webui has some ide features, such as symbol search. I don't see any reason why not use a proper ide. github.dev is a simple click in the ui away. When you use gerrit, do a local checkout, that's one git command.
If you refuse to use the correct tools for the job, your experience is degraded. I don't see a reason to consider this case when writing code.
These where not some SWE wonderlands either. The code was truly awful at times.
The Joel test is 25 years old. It's a industry standard. I, and many other people consider it a minimum requirement for software engineering. If code the "2. Can you make a build in one step?" requirement i should be ide-browsable in one step.
If it takes weeks to replicate a setup the whole environment is deeply flawed. The one-step build is the second point on the list because Joel considered it the second most important thing, out of 12.
In those cases, I’m grateful for mildly less concise languages that are more explicit at call and declaration sites.
The redundant writing of the type on the left-hand side does not help you, because without knowing the type of the right-hand side you cannot recognize a bug. Not specifying the type on the left-hand side can actually avoid many bugs in complex environments, because there is no need to update the code that uses some API, whenever someone changes the type of the result, unless the new type causes some type mismatch error elsewhere, where it would be reported, allowing to make fixes at the right locations in the source code, not at the spurious locations of variable definitions, where updating the type will not prevent the real bugs to occur at the points of use of that variable.
The only programming languages that could be used without the ability of searching the definition of any symbol, were the early versions of FORTRAN and BASIC, where the type of a symbol was encoded in the name of the symbol, by using a one-letter prefix in FORTRAN (like IVAR vs. XVAR) and a one-symbol suffix in BASIC (like X vs. X$ vs. X%).
The "Hungarian" convention for names used in early Microsoft Windows has been another attempt of encoding the types of the symbols in their names, following the early FORTRAN and BASIC style, but most software developers have disliked this verbosity.
If you cannot recognize the type of an expression that is assigned to a variable, you do not understand the program you are reading, so you must search its symbols anyway.
Writing redundantly the type when declaring the variable is of no help when you do not know whether the left hand side expression has the same type.
When reading any code base with which you are not familiar, you must not use a bad text editor, but either a good text editor designed for programmers or any other tool that allows fast searching for the definitions of any symbols encountered in the source text.
Adding useless redundancy to the source text only bloats it, making reading more difficult, not easier.
I never use an IDE, but I always use good programming language aware text editors.
This isn’t necessarily the case. “Go to Definition” on the `val` goes to the definition of the deduced type in the IDEs and IDE-alikes I’ve ever used.
This is true for any language, but it's especially true for C++, where most large codebases have tons of invisible code flying around - implicit casts, weird overloads, destructors, all of these possibly virtual calls, possibly over type-erased objects accessed accessed via smart pointers, possibly over many threads - if you want to stand any chance of even beginning to reason about all that you NEED to see the actual, concrete, scientific types of things.
with Rust that ship has sailed
> few implicit casts
Just because it doesn't (often) implicitly convert/pun raw types doesn't mean it has "few implicit casts". Rust has large amounts implicit conversion behavior (e.g. deref coercion, implicit into), and semi-implicit behavior (e.g. even regular explicit ".into()" distances conversion behavior and the target type in code). The affordances offered by these features are significant--I like using them in many cases--but it's not exactly turning over a new leaf re: explicitness.
Without good editor support for e.g. figuring out which "into" implementation is being called by a "return x.into()" statement, working in large and unfamiliar Rust codebases can be just as much of a chore as rawdogging C++ in no-plugins vim.
Like so many Rust features, it's not breaking with specific semantics available in prior languages in its niche (C++); rather, it's providing the same or similar semantics in a much more consciously designed and user focused way.
> lifetimes
How do lifetimes help (or interact with) IDE-less coding friendliness? These seem orthogonal to me.
Lastly, I think Rust macros are the best pro-IDE argument here. Compared to C/C++, the lower effort required (and higher quality of tooling available) to quickly expand or parse Rust macros means that IDE support for macro-heavy code tends to be much better, and much better out of the box without editor customization, in Rust. That's not an endorsement of macro-everything-all-the-time, just an observation re: IDE support.
As for how lifetimes help? One of the more annoying parts of coding C is to constantly have to look up who owns a returned pointer. Should it be freed or not?
And I do not find into() to be an issue in practice.
Implicit casts are the only reason for the existence of the object-oriented programming languages, where any object can be implicitly cast to any type from which it inherits, so it can be passed as an argument to any function that expects an argument of that type, including member functions.
The whole purpose of inheritance is to allow the programmer to use implicit casts. Otherwise, one would just declare a structure member of the class from which one would inherit in the OOP style and a virtual function table pointer, and one could write an identical program with the OOP program, but in a much more verbose way.
(In the C language, not only the implicit mixed signed-unsigned casts are bad, but also any implicit unsigned-unsigned casts are bad, because there are 2 interpretations of "unsigned" frequently used in programs, as either non-negative numbers or as modular numbers, and the direction of the casts that do not lose information is reversed for the 2 interpretations, i.e. for non-negative numbers it is safe to cast only to a wider type, but for modular numbers it is safe to cast only to a narrower type. Moreover, there are also other interpretations of "unsigned", i.e. as binary polynomials or as binary polynomial residues, which cannot be inter-converted with numbers. For all these 4 interpretations, there are distinct machine instructions in the instruction sets of popular CPUs, e.g. in the x86-64 and Aarch64 ISAs, which may be used in C programs through compiler intrinsics. Even worse is that the latest C standards specify that the overflow behavior of "unsigned" is that of modular numbers, while the implicit casts of "unsigned" are those of non-negative numbers. This inconsistency guarantees the existence of perfectly legal C programs, without any undefined behavior, but which nonetheless compute incorrect "unsigned" values, regardless which interpretation was intended for "unsigned".)
No, you don't have to do that. Once you start thinking about memory and manually managing it, it you'll figure out there's simpler, better ways to structure your program, rather than having a deep class hierarchy with a gazillion heap-allocated objects, each with distinct lifetime, all pointing at each other.
Here's a trivial example. Say you're writing a JSON parser - if you approach it with an OOP mindset, you would probably make a JSONValue class, maybe subclass it with JSONNumber/String/Object/Array. You would walk over the input string and heap allocate JSONValues as you go. The problems with this are:
1. Each allocation can be very slow as it can enter the kernel
2. Each allocation is a possible failure point, so the number of failure points scales linearly with input size.
3. When you free the structure, you must walk over the entire tree and free each obejct one by one.
4. The output of this function is suboptimal as the memory allocator can return values that are far away in memory.
There's an alternate approach that solves all these problems. If you're thinking about the lifetimes of your data, you would notice that this entire data structure is used and discarded at once, so you allocate a single big buffer for all the nodes. You keep a pointer to the head of that buffer, and when you need a new node, you stick it in there and advance the pointer by its size. When you're done you return the first node, which also happens to be the start of the buffer.Now you have a single point of failure - the buffer allocation, your program is way faster, you only need to free one thing when you're done, and your values are tightly packed in memory, so whatever is using its output will be faster as well. You've spent just a little time thinking about memory and now you have a vastly superior program in every single aspect, and you're happy.
There's no universal "God pattern" that you can throw at every problem. I used arenas as an example as I didn't want to write a zero-substance "OOP bad" post, but my point wasn't that instead of always using OOP+inheritance you should always use an arena, it was that if you think about your memory, more often than not there's a vastly superior layout than a bunch of heap objects glued together by prayers and smart pointers.
adding values to a dict via add() and removing them via remove() should not expose to the caller if the underlying implementation is an array of hash indexed linked lists or what. the implementation can be changed safely.
inheritance is orthogonal to object orientation. or rather, inheritance requires oop, but oop does not require inheritance.
golang lacks inheritance while remaining oop, for instance, instead using interfaces that allows any type implicitly defining the specified interface to be used the.
Using different words does not necessarily designate different things. Most things that are promoted at a certain time by fashions, like OOP, abuse terminology by giving new names to old things in the attempt of appearing more revolutionary than they really are.
Most classic works about OOP define OOP by the use of inheritance and of virtual functions a.k.a. dynamic polymorphism. Both features have been introduced by SIMULA 67 and popularized by Smalltalk, the grandparents of all OOP languages.
When these 2 features are removed, what remains from OOP are the so-called abstract data types, like in CLU or Alphard, where you have data types that are defined by the list of functions that can process values of that type, but without inheritance and with only static polymorphism (a.k.a. overloading).
The example given by you for hiding an implementation is not OOP, but it is just the plain use of modules, like in the early versions of Ada, Mesa or Modula, which did not have any OOP features, but they had modules, which can export types or functions whose implementations are hidden.
Because all 3 programming language concepts, modules, abstract data types and OOP have as an important goal preventing the access to implementation details, there is some overlap between them, but they are nonetheless distinct enough so that they should not be confused.
Modules are the most general mechanism for hiding implementation details, so they should have been included in any programming language, but the authors of most OOP languages, especially in the past, have believed that the hiding provided by granting access to private structure a.k.a. class members only to member functions is good enough for this purpose. However this leads sometimes to awkward programs where some classes are defined only for the purpose of hiding things, for which real modules would have been more convenient, so many more recent versions of OOP languages have added modules in some form or another.
Dynamic dispatch can be accomplished in any language with a function type by using a structure full of functions to dispatch the incoming invocations, as Linux does in C to implement its file systems.
In recent C standards, it has been defined that unsigned numbers behave with respect to the arithmetic operations as modular numbers, which never overflow.
The implicit casts of C unsigned numbers are from narrower to wider types, e.g. from "unsigned short" to "unsigned" or from "unsigned" to "unsigned long".
These implicit casts are correct for non-negative numbers, because all values that can be represented as e.g. "unsigned short" are included among those represented by "unsigned" and they are preserved by the implicit casts.
However, these implicit casts are incorrect for modular numbers, because they attempt to compute the inverse of a non-invertible function.
For instance, if you have an "unsigned char" that is a modular number with the value "3", it is incorrect to convert it to an "unsigned short" modular number with the value "3", because the same "unsigned char" "3" corresponds also to 255 other "unsigned short" values, i.e. to 259, 515, 781, 1027 and so on.
If you have some very weird reason when you want to convert a number modulo 256 to a number modulo 65536 by choosing a certain number among those with the same residue modulo 256, then you must do this explicitly, because it is not an information-preserving conversion.
If on the other hand you interpret a C "unsigned" as a non-negative number, then the implicit casts are OK, but you must add everywhere explicit checks for unsigned overflow around the arithmetic operations, otherwise you will obtain erroneous results.
Mathematically, there is no clearly defined way how one would have to map from one residue system in modular arithmetic to the next, so there is no "correct" or "incorrect" way. Mapping to the smallest integer in the equivalency class makes a lot of sense though, as it maps corresponding integers to itself when going to a larger type and and the reverse operation is then the inverse, and this is exactly what C does.