You don't trust your compiler to optimize the sane trivial C case, but you trust it to optimize all that garbage away?
Life is always better after minimizing the total number of types of undefined behavior.
What behavior is undefined in incrementing a pointer between a begin and end range?
Say I want to do something fancy, like getting element number 11 from an array.
With an integer index I can pass 11, with random access iterators I can use begin() + 11.
Now my array only has five elements. So I check.
11 < 5? Comparison valid, successfully avoided a crash.
begin() + 11 < end() ? How where the rules for pointer comparison again, something about within an allocation and one past the end?
Yeah, I forgot about that. So I agree there is some subtly which is likely to catch beginners.
Your example could safely be:
if (std::distance(begin, end) > 5)
Another approach I would recommend is to write a `guarded_advance` which takes an integer and the end pointer.Also note that the situation you are describing is still a little unusual because the baseline assumption is it takes linear time to advance an iterator by more than 1 increment.
> but neither will valid increment between two integers. No need for iterators in that case either.
The purpose of an iterator is to abstract data structure access. The coordinate inside a complex data structure may not be representable by an integer.
> but you trust it to optimize all that garbage away?
Yep, if you learn about compilers you learn what kind of optimizations are easy and hard for them to make. The kind that just flattens a few levels of nested definitions are easier.
I've heard criticisms of C and C++ that they are simultaneously too high-level and too low-level. Too high-level in that the execution model doesn't actually match the sort of massively parallel numeric computations that modern hardware gives, and too low-level that the source code input into the compiler doesn't give enough information about the real structure of the program to make decisions that really matter, like algorithm choice.
It's interesting that the most compute-intensive machine learning models are actually implemented in Python, which doesn't even pretend to be low-level. The reason is because the actual computation is done in GPU/TPU-specific assembly, so Python just holds the high-level intent of the model and the optimization occurs on the primitives that the processor actually uses.
That's just UB with more steps. What will the spec say? "Behavior of integer overflow is undefined. Unless the overflow happens within an iterated for loop, in which case the behavior is undefined and the iterator can do whatever it wants".
> I've heard criticisms of C and C++ that they are simultaneously too high-level and too low-level.
I've heard this as well, and I think there is some truth to it, but C is the least-bad offender relative to any other language.
C maps extremely well to assembly. The fact that assembly no longer perfectly captures the implementation of the CPU has nothing to do with C. Every other general purpose[1] language has to target the same abstraction that C does.
Given that reality, C in fact maps better to the hardware than any other language. Because it is faster than any other language. Any higher level language that gives the compiler more information about algorithm choice is slower than C is. That's the bottom line.
[1] This is ignoring proprietary, hardware specific tools like CUDA. That's clearly in a different category when discussing programming languages, IMO.
> [1] This is ignoring proprietary, hardware specific tools like CUDA. That's clearly in a different category when discussing programming languages, IMO.
Arguably they should be part of the conversation. One main reason for the recent ascendancy of NVidia over Intel is that they're basically unwrapping all the layers of microcode translation that Intel uses to make a modern superscalar processor act like an 8086, and saying "Here, we're going to devote that silicon to giving you more compute cores, you figure out how to use them effectively."
A program which constructs an AST out of python classes and spits out GPU code is a compiler. The python is never executed.
Trivially, compilers can generate code faster than their hose language, but that doesn't make the host language fast. The compiler would be even faster if it were written in C++.
The complaint here is that the warnings/errors for the integer case don't seem to be on by default. With the warnings command line flags enabled, this case is easily detected by the compiler, same as if it was some iterator object.