nirvana | Golang Restful API Framework for Productivity | REST library

I have an issue, or at least I'm not having the solution.

I'm getting some API calls via a map and I can console.log all results which is great, but the problem is that I want to combine all the results in one array.

I found "Nirvana" (or should I say Tailwind) - it's just about how great I find this library/framework! It goes well with Rails - and Webpacker too. In fact, all is well except for this one bugger;

I've got this sneaky little contraption of mine affording quite readable view templates (and yeah - I know - it's obviously flawed in a million ways but it gets the job done, what can I say)

I am creating a program which generates a random list of songs, and has a function such that if a user wants to save a song from the random generated list, the user should click the button next to it. Then the user can print the songs he/she saved on a new window, and then I add a function using pickle so that if the user closes and reruns the program the previously saved items are retained and can be reprinted. But an error, how can I implement this correctly

This is the code:

A couple months earlier, I asked how to feed a glob into a Node pattern. I wanted to run tests in RITEway and the solution was to run the command with riteway instead of node.

does anyone have an idea how can i break Vertical ScrollView into small horizontal ScrollView using SwiftUi:

I have the code bellow which displays the youtubeResults vertically, since each item of the ForEach is smaller, so i want to group them by 3 itens Horizontally , then the following 3 itens goes bellow them vertically until the forEach ends.

I would like the results to be displayed like that(with images, this is just an example):

(Justin beiber) (Drake) (Omarion)

(Mandela) (Dj Khaled) (Nirvana)

(Justin beiber) (Prince) (Adele)

My code: Displaying the results one by one Vertically

I have a dataset of air pollution values each which corresponds to a particular station. I've computed the number of nulls for each air pollution variable and station code. Now I want to find the station for each pollutant with the minimum number of nulls.

Here is the dataset:

Have submitted an ajax API call to musicbrainz API. I am receiving their returned data in JSON format which is expected response. As I parse through the returned data, I want to extract two attributes labeled life-span.begin and life-span.end

One of the returned JSON attributes is life-span. When I try to pull that data into my own obj using this js code:

Although Pact supports testing of messages, I find that the recommended flow in the "Pact Nirvana" doesn't quite match the flow that I understand an Event Driven Application needs.

Let's say we have an Order management service and a Shipping management service. The Shipping service emits ShippingPreparedEvents that are received by the Order service.

If we deleted a field inside the ShippingPreparedEvent, I'd expect first to make a change to the Order service so that it stops reading the old field. Deploy it. And then make the change in the Shipping service and deploy it. That way, there wouldn't have any downtime on the services.

However, I believe Pact would expect to deploy the Shipping service first (it's the provider of the event) so that the contract can be verified before deploying the consumer. In this case, deploying the provider first will break my consumer.

Can this situation be avoided somehow? Am I missing anything?

Just to provide more context, we can see in this link that different changes would require different order of deployment. https://docs.confluent.io/current/schema-registry/avro.html#summary I won't be using Kafka nor Avro, but I believe my flow would be similar.

Thanks a lot.

I'm new to NLP. Now I'm trying to create NER model for extracting music artist's name from some text. But It hasn't gone well.This is what I've done.

1. I got 1500,000 artist's name list.

2. I created training data with string template.like this "{artist's name} is so sick." All 1500,000 training data is like this string.