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Remove your agreement vars in MinimalClone.sol, and either have the user input them as args in your init() method or hardcode them into the request like this:

Within the function you need to find each element in the passed array. However the type of the array is unknown. You only know the size of each element of the array and the starting address of the array that is passed through the parameter base0. of the type const void *..

To access an element of the array you need to use the pointer arithmetic. But the type void is incomplete type. Its size is unknown/ So you may not use the pointer of the type (const) void *` in expressions with the pointer arithmetic.

Thus this declaration

calloc is allocating the amount of memory you asked for on the heap. The pointer is allocated by your compiler either in registers or on the stack. In this case, calloc is actually allocating enough memory for 4 ints on the heap (which on most systems is going to be 16 bytes, but for the arduino uno it would be 8 because the sizeof(int) is 2), then storing the pointer to that allocated memory in your register/stack location.

For the bonus question: Arduino uses C++ instead of C, and that means that it uses C++'s stronger type system. void * and int * are different types, so it's complaining. You should cast the return value of malloc when using C++.

You shouldn't necessarily have to implement a full custom atomic API, it should actually be safe to simply pull out a pointer to the underlying data from the atomic and pass it to the system.

Since std::atomic does not offer some equivalent of native_handle like other synchronization primitives offer, you're going to be stuck doing some implementation-specific hacks to try to get it to interface with the native API.

For the most part, it's reasonably safe to assume that first member of these types in implementations will be the same as the T type -- at least for integral values ^[1]. This is an assurance that will make it possible to extract out this value.

... and casting std::atomic to u/int* is UB

To avoid the page from crashing, add the user-agent header to the headers= parameter in requests.get(), otherwise, the page thinks that your a bot and will block you.

I'm trying to parallelize a merge-sort algorithm. What I'm doing is dividing the input array for each thread, then merging the threads results.

It varies between implementations, but generally, this is managed by the cache coherency protocol of the multiprocessor. In simplest terms, what happens is that when CPU1 writes to a memory location, that location will be invalidated in every other cache in the system. So that write will invalidate the line in CPU2's instruction cache as well as any (partially) decoded instructions in CPU2's uop cache (if it has such a thing). So when CPU2 goes to fetch/execute the next instruction, all those caches will miss and it will stall while things are refetched. Depending on the cache coherency protocol, that may involve waiting for the write to get to memory, or may fetch the modified data directly from CPU1's dcache, or things might go via some shared cache.

Send your data to separate processes. I used concurrent.futures because I like the simple interface.

You can do it by adding DISABLE_ESLINT_PLUGIN=true to the "build" in the "scripts" part in your package.json: