encoded | Metadata database for ENCODE project

According to the java doc of PriorityQueue(PriorityQueue)

Creates a PriorityQueue containing the elements in the specified priority queue. This priority queue will be ordered according to the same ordering as the given priority queue.

So we can extend PriorityQueue as CustomComparatorPriorityQueue to hold the desired comparator and the Collection we need to heapify. Then call new PriorityQueue(PriorityQueue) with an instance of CustomComparatorPriorityQueue.

Below is tested to work in Java 15.

If it's not the bandwidth that limits you (but I cannot check this), there is a solution less complicated than the celery and rabbitmq but it is not as scalable as the celery and rabbitmq, it will be limited by your number of CPU.

Instead of splitting calls on celery workers, you split them on multiple processes.

I modified the fetch function like this:

In my opinion, both

The video has frame rate of 25fps, and not 24fps:

After putting the correct value it works ok: demo
The VideoFrame api heavily relies on FPS provided by you. You can find FPS of your videos offline and send as metadata along with stop frames from server.

The site videoplayer.handmadeproductions.de uses window.requestAnimationFrame() to get the callback.

There is a new better alternative to requestAnimationFrame. The requestVideoFrameCallback(), allows us to do per-video-frame operations on video.
The same functionality, you domed in OP, can be achieved like this:

The issue you're going to have to confront is how to deal with function calls. I can't really give you any concrete advice based on your question, because the grammar you provide lacks any indication of the intended syntax of functions calls, but the hint that print(5) is a valid statement makes it clear that there are two distinct situations, which need to be handled separately.

Consider:

You use str(0.05 * 10**18) to get the string for the value.

However, this actually outputs the value in scientific notation, which isn't what the blockchain expects.

Detecting the codec doesn't necessarily detect whether the system can support Dolby Atmos

Correct.

What reliable way is there to detect if your system will truly support Dolby Atmos whether its with a receiver or a Dolby Atmos compliant sound bar.

Unfortunately, this undetectable from the browser.

The browser itself and even the OS doesn't always know what is downstream. Sorry for the bad news!

Take a look at the recursive formula for combinations:

Suppose you have a combination space C(n,k). You can divide that space into two subspaces:

• C(n-1,k-1) all combinations, where the first element of the original set (of length n) is present
• C(n-1, k) where first element is not preset

If you have an index X that corresponds to a combination from C(n,k), you can identify whether the first element of your original set belongs to the subset (which corresponds to X), if you check whether X belongs to either subspace:

• X < C(n-1, k-1) : belongs
• X >= C(n-1, k-1): doesn't belong

Then you can recursively apply the same approach for C(n-1, ...) and so on, until you've found the answer for all n elements of the original set.

Python code to illustrate this approach:

Only a few specific GPR instructions have VEX encodings, primarily the BMI1/BMI2 instructions that were added after AVX already existed. See the list in Table 2-28, which has ANDN, BEXTR, BLSI, BLSMSK, BLSR, BZHI, MULX, PDEP, PEXT, RORX, SARX, SHLX, SHRX, as well as the same list in 5.1.16.1. For example, andn's manual entry lists only a VEX encoding, and's manual entry doesn't list any.

So Intel (unfortunately) didn't introduce a brand new three-operand alternate encoding for the entire instruction set. They just introduced a few specific instructions that take three operands and use VEX for it. In some cases these have similar or equivalent functionality to an existing instruction, e.g. SHLX for SHL with a variable count, and so effectively provide a three-operand version of the previous two-operand instruction, but only in those special cases. There are not equivalent instructions across the board.

The "old style" two-operand form remains the only version of the add instruction. However, as fuz points out in comments, lea can be a good way to add two registers and write the result to a third, subject to some restrictions on operand size.

See Using LEA on values that aren't addresses / pointers? for more general things LEA can do, like copy-and-add a constant to a register, or shift-and-add. Compilers already know this and will use lea where appropriate, any time it saves instructions. (Or with some tune options like -mtune=atom for old in-order Atom, will use lea even when they could have used add.)

If more flexible encodings of common integer instructions other than add existed, like and/xor/sub, gcc -O3 -march=skylake would already be using them in its own asm output, without needing inline asm. Or if alternative instructions could get the job done, like lea for add, would be doing that, so it makes sense to look at compiler output to see what tricks it knows. Trying it yourself would make more sense as something to play around with in a stand-alone .s file that just makes an exit system call, or just to single-step, removing the complexity of using inline asm. (GAS by default doesn't restrict instruction-sets. gcc -march=skylake doesn't pass that on to the assembler, as.)

In your inline asm, your c operand should be to output-only: =r instead of +r. The old value is overwritten, so there's no need to tell the compiler to produce it as an input. (Like you said, you want c = a+b not c += a+b.)

Using a single lea as the asm template means you don't need a =&r early-clobber output, because your asm will read all its inputs before writing that output. In your case, having it as an input/output was probably stopping the compiler from choosing the same register as one of the inputs, which could have broken with mov; add.