happens | Super simple and tiny javascript event system | Pub Sub library

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

You can use the FILTER function to remove the blanks.

Replace you lines load the arrays

The way the @iconify-icons/cryptocurrency library is exported means you need to transpile each icon package you use individually.

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.

This should be easy. its a little mistake that you did.

As given in this answer, Storms Internal Metrics are just estimated by a percentage of the real data flow. Initially, it uses 5% of incoming tuples to make those estimations. This may lead to inaccuracies for extreme high or low throughputs.

EDIT: The documentation describes the following:

In general all of these tuple count metrics are randomly sub-sampled unless otherwise stated. This means that the counts you see both on the UI and from the built in metrics are not necessarily exact. In fact by default we sample only 5% of the events and estimate the total number of events from that. The sampling percentage is configurable per topology through the topology.stats.sample.rate config. Setting it to 1.0 will make the counts exact, but be aware that the more events we sample the slower your topology will run (as the metrics are counted in the same code path as tuples are processed). This is why we have a 5% sample rate as the default.

EDIT 2 In this post, there is more information about the estimation:

The way it works is that if you choose a sampling rate of 0.05, it will pick a random element of the next 20 events in which to increase the count by 20. So if you have 20 tasks for that bolt, your stats could be off by +-380.

By the way, execute_count is just an increasing number, while your tuple_inRate.count is a rate, isn`t it?

When you're stuck on a problem, it never hurts to go back and consult the documentation.

You'll find information like this:

A border layout lays out a container, arranging and resizing its components to fit in five regions: north, south, east, west, and center. Each region may contain no more than one component, and is identified by a corresponding constant: NORTH, SOUTH, EAST, WEST, and CENTER. When adding a component to a container with a border layout, use one of these five constants...

When you add your button, you do this:

Make A a needed reference for C: