minimal | Website and blog generator for Go , Node.js or Python | Blog library

Roughly speaking & following the docs you can put these method names as exports into the new namespace like this (in new.rakumod):

Yes it's absolutely possible. Blazor does not have a monopoly on C#/WASM and it's far from clear that it's going to wind up being the best long term option (and a lot of evidence it's not).

I recommend starting with the Uno WASM Bootstrap. https://github.com/unoplatform/Uno.Wasm.Bootstrap

VideoEncoder and other classes from the WebCodecs API provide you with the way of encoding your images as frames in a video stream, however encoding is just the first step in creating a playable multimedia file. A file like this may potentially contain multiple streams - for instance when you have a video with sound, that's already at least one video and one audio stream, so a total of two. You need additional container format to store the streams so that you do not have to send the streams in separate files. To create a container file from any number of streams (even just one) you need a multiplexer (muxer for short). Good summary of the topic can be found in this Stack Overflow answer, but to quote the important part:

1. When you create a multimedia file, you use a coder algorithms to encode the video and audio data, then you use a muxer to put the streams together into a file (container). To play the file, a demuxer takes apart the streams and feeds them into decoders to obtain the video and audio data.
2. Codec means coder/decoder, and is a separate concept from the container format. Many container formats can hold lots of different types of format (AVI and QuickTime/MOV are very general). Other formats are restricted to one or two media types.

You may think "i have only one stream, do i really need a container?" but multimedia players expect received data (either data read from a file or streamed over network) to be in a container format. Even if you have only one video stream, you still need to pack it into a container for them to recognize it.

Joining the byte buffers into one big blob of data will not work:

When you have x + i, since x is of class type, overload resolution kicks in:

The specific details from the standard ([over.match.oper]p2)

If either operand has a type that is a class or an enumeration, a user-defined operator function might be declared that implements this operator or a user-defined conversion can be necessary to convert the operand to a type that is appropriate for a built-in operator. In this case, overload resolution is used to determine which operator function or built-in operator is to be invoked to implement the operator.

The built-in candidates are defined in paragraph 3.3:

For the operator ,, the unary operator &, or the operator ->, the built-in candidates set is empty. For all other operators, the built-in candidates include all of the candidate operator functions defined in [over.built] that, compared to the given operator,

• have the same operator name, and
• accept the same number of operands, and
• accept operand types to which the given operand or operands can be converted according to [over.best.ics], and
• do not have the same parameter-type-list as any non-member candidate that is not a function template specialization.

The built-in candidate functions could consist of, according to [over.built]p13:

For every pair of types L and R, where each of L and R is a floating-point or promoted integral type, there exist candidate operator functions of the form

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:

I haven't tested your full setup with electrumx and the ethereum stuff present in your docker-compose file, but regarding your problem, the following steps worked properly, and I think it will do as well in your complete setup.

I ran with docker a bitcoin node based in the ulamlabs/bitcoind-custom-regtest:latest image you provided:

The problem here is related to inlining. I do not understand it completly, but here is what I understand.

First we find that copy&pasting the definition of replicateM into the Submission 1 yields the same bad performance as Submission 2 (submission). However if we replace the INLINABLE pragma of replicateM with a NOINLINE pragma things work again (submission).

The INLINABLE pragma on replicateM is different from an INLINE pragma, the latter leading to more inlining than the former. Specifically here if we define replicateM in the same file Haskells heuristic for inlining decides to inline, but with replicateM from base it decides against inlining in this case even in the presence of the INLINABLE pragma.

sequenceA and traverse on the other hand both have INLINE pragmas leading to inlining. Taking a hint from the above experiment we can define a non-inlinable sequenceA and indead this makes Solution 2 work (submission).

After adding the second elements with push to the same part of the Hash, the elment is now an array. Best you can see this by print the Hash before the crash:

instead that you shoud use !, that typescript ignores the fact that the value could be null which in your case it is not