darts | A golang implement of Double Array Trie | Natural Language Processing library

I'm trying to get some data from https://betsapi.com/, specifically from the soccer area using python I saw in the code that the link is dynamic, I mean that a couple of weeks ago it was https://betsapi.com/cin/soccer and now is https://betsapi.com/cip/soccer.

Looking on the code I would like to understand how to identify the current soccer link from this part of code.

how to retrieve token variable from sharedprefence in flutter? i am very new to implement api for my flutter project because previously I was only told to work on the frontend, i have saved auth token in login and here is my code to store token in sharedprefence

I'm running an application written in scala (running on the jvm) as a systemd service configured with ExecStart=java -jar Darts-Backend-assembly-0.1.0.jar.

On systemctl stop darts the application is terminated by sending it a SIGTERM signal. journalctl interprets the non-zero exit code of the application terminated by SIGTERM as a failure:

I saw this article: https://itnext.io/comparing-darts-loops-which-is-the-fastest-731a03ad42a2

It says that ".map" is slow with benchmark result

But I don't understand why slower than while/for loop

How does it work in low level?

I think it's because .map is called an unnamed method like this (_){ }

Can you explain that in detail?

I'm trying to access the my Dart Docker container's shell

Scenario: Charlie, Amy and Robert have each filled out a survey which asks the user to select all the sports they are interested in. The question is multiple choice. In the table surveyData each row represents one of the answers each user chose. so Charlie(0001) chose basketball, rugby, acrobatics and darts.

I would like to select from the table all surveyDataIds (users) who did not choose exactly basketball (0002) and rugby (0003). I believe what I'm trying to do here is perform a NAND type operation.

Desired result: When querying this table I would expect to return the following surveyDataIds: 0002 and 0004. surveyDataIds would need to be grouped as to not have duplicates. Robert is not returned as he selected basketball (0002).

Here is what I have tried so far, taking advice from the answer in this post SELECT WHERE multiple records don't exist. Unfortunately, it does not work and is returning the wrong results.

This may be a duplicate please let me know.

I have a pandas df like this:

I'd like to output something like this:

Where the most common name for each id is placed in the common column.

I've tried this but at this point i'm throwing darts in the dark

I am somewhat new to pytorch since I have been using Keras for some years. Now I want to run a network architecture search (NAS) based on DARTS: Differentiable Architecture Search (see https://nni.readthedocs.io/en/stable/NAS/DARTS.html) and it is based on pytorch.

All examples available use accuracy as a metric, but I would need to calculate MSE. This is one of the examples available:

I found a website that pushes darts scores. Each time a new score is published, I would like to be notified.