Re: Threads across programming languages

Am 03.05.2024 um 01:21 schrieb Lawrence D'Oliveiro:

Fun fact: the Linux kernel (the world’s most successful software project),
originally entirely C-based, is now incorporating Rust-based development.
It never accepted C++.

There are for sure a magnitude more C++ developers than C developers
because C has a magnitude more productivity.

I/O performance certainly is possible with Python, and it has the high-
performance production-quality frameworks to prove it.

I thought about high performance code with >= 1e5 IOs/s.
That's not possible with Python.

Try it with something that has actual lexically-bound local variables in
it:
      def factory(count : int) :
          def counter() :
             nonlocal count
             count += 1
             return count
         #end counter
      #begin
         return counter
     #end factory
      f1 = factory(3)
     f2 = factory(30)
     print(f1())
     print(f2())
     print(f1())
     print(f2())
 output:
      4
     31
     5
     32

That should be similar:
#include <iostream>
#include <functional>
using namespace std;
function<int ()> factory()
{
return []
{
static int count = 0;
return ++count;
};
}
int main()
{
auto
f1 = factory(),
f2 = factory();
cout << f1() << endl;
cout << f2() << endl;
cout << f1() << endl;
cout << f2() << endl;
}

With io_uring you can easily handle millions of I/Os with a single
thread, but not with Python.

Debunked above.

That's not possible with Python because Python is slow.