Juice | A Distribution Task Management System

I've been trying to add multiple Firestore documents from one collection to another collection in my flutter app and so far this is the closest I've gotten to doing so.

I tried manually creating a map reading from the Firestore data and then storing it back to Firestore in another collection using forEach() but it fails.

I used that same function below, the forEach() one with a hard-coded array:

Let's say I am developing a django REST api that is secured via token and basic authentication. The idea is to list juices. So I am having an URL that lists all juices from specific brands.

So I got a dynamic URL like: path("juices//" ...)

What I want to do now is to show all juices of the brand coca-cola in my frontend where no authentication is required. So all visitors should see the list of juices from coca-cola.

I need to use JS fetch since it has to be asynch. Thus my code is something like:

Here's my structure:

I need to generate embeddings for documents in lists, calculate the Cosine Similarity between every sentence of corpus 1 with every sentence of corpus2, rank them and give out the best fit:

I am working with the current tidytuesday data about salaries and trying to create a model with tidymodels and recipes. I want to predict salary with many of the other factors present using the recipes code, but I run into an issue.

Issue 1 - My recipe says there are empty rows, but I do not know how to figure out how. This does not give an error, so maybe it is not a problem.

Issue 2 - Understanding what my models actually did and how to visualize the performance. I want to plot the models performance on the initial data. Here is an example of my goal: https://indescribled.files.wordpress.com/2021/05/image-17.png?w=782

I do not understand exactly how to use the predict function with my recipe. juice(rec) is less than 1000 rows while the testing data is about 6000. Perhaps I am reading it backwards, but can someone try to point me in the right direction?

The code below should be an exact reproduction of mine.

I managed to generate vectors for every sentence in my two corpora and calculate the Cosine Similarity between every possible pair (dot product):

Due to flattening the parsed JSON data, I need to add some comments to serve as titles and code line separators to have a better overview of the XML result. The text in the comment fields can either come from the high-level keys from JSON or just added manually when creating the comments.

I have tried to add the standard way of creating comments in XSL, but due to the templates I use matches several nodes, the result is an iteration where the comments appear on top of every transformed element.

If recommended the comments can also be added through separate template(s).

You find the code here: https://xsltfiddle.liberty-development.net/gVAkJ3X/4

Below is a extractions of the code:

JSON data:

The HTML create two drop-down menu and one delete button. One JavaScript, I made a code to fill those drop-down box with arrays. And, every time I change the item on the first drop-down menu, a new set of options appears on the second drop-down menu. The goal is, whenever I clicked the delete button, I should be able to delete an item on the second drop-down and when I changed the item on the first drop-down menu, hence another set of option will appear on the second drop-down menu, I should be able to delete an item from there as well.

The problem is, once the set of items on the second drop-down menu has been changed, a bunch of unwanted results occurs, such as deleting more than one items or deleting on another set of items. For example, if I delete something from "meal", it'll delete one item. Then if I go over to "dessert" and delete something from there, it'll delete one item. But if I go back to "meal" again, a bunch of items are now deleted. Just try it out yourself to see what I mean