hikaru | Move smoothly between Kubernetes YAML | YAML Processing library

Just to be thorough, I'll state here my whole project and what I'm aiming at.

I intend to adapt a shell script to work in Windows cmd, as this is intended for people who are not going to have some sophisticate language available.

So im very new to fullstack and been working on a little vanilla js project to make a website that calls a server I run that calls chess.com api, for example retrieving all elo ratings is:

https://api.chess.com/pub/player/${username}/stats

So I made a backend call in node-js:

Hi i am building an app in React Native and I want to have a customized tabbar. I have tried it with React navigation but I can't figure out how to style the way I want...

This is what I want it to look like eventually:

The information page

The photos page

With react navigation i'm able to swipe the screen and go to the other page. So that is really nice usability which I'd like to keep (if that's possible ofcourse)

I have tried with passing a custom component in the navigator, but I couldn't get that to work. So when clean and native it looks like this right now:

My model looks like this

I have created a table where the primary key auto increments. I have sent up the relevant data, sequences and triggers. But I have had no hope in executing an automated increment as of yet and my trigger keeps throwing errors.

Code:

I'm nearly new to JavaScript.

I want to make a random-name generator where from a string array I get 5 random names. This works, but I want to add many names, and I want to check that no names are duplicated. Because of that, I wanted to make a textfield where I can write names, and with the button press a for-loop looks after the array index, and with an if-statement. T

his is the html code:

I am trying to build Python model that could classify account names as either legitimate or gibberish. Capitalization is not important in this particular case as some legitimate account names could be comprised of all upper-case or all lower-case letters.

Disclaimer: this is just a internal research/experiment and no real action will be taken on the classifier outcome.

In my particular, there are 2 possible characteristics that can reveal an account name as suspicious, gibberish or both:

1. Weird/random spelling in name or name consists of purely or mostly numbers. Examples of account names that fit these criteria are: 128, 127, h4rugz4sx383a6n64hpo, tt, t66, t65, asdfds.

2. The name has 2 components (let's assume that no name will ever have more than 2 components) and the spelling and pronounciation of the 2 components are very similar. Examples of account names that fit these criteria are: Jala Haja, Hata Yaha, Faja Kaja.

If an account name meets both of the above criteria (i.e. 'asdfs lsdfs', '332 333') it should also be considered suspicious.

On the other hand, a legitimate account name doesn't need to have both first name and last name. They are usually names from popular languages such as Roman/Latin (i.e. Spanish, German, Portuguese, French, English), Chinese, and Japanese.

Examples of legitimate account names include (these names are made up but do reflect similar styles of legitimate account names in real world): Michael, sara, jose colmenares, Dimitar, Jose Rafael, Morgan, Eduardo Medina, Luis R. Mendez, Hikaru, SELENIA, Zhang Ming, Xuting Liu, Chen Zheng.

I've seen some slightly similar questions on Stackoverflow that asks for ways to detect gibberish texts. But those don't fit my situation because legitimate texts and words actually have meanings, whereas human names usually don't. I also want to be able to do it just based on account names and nothing else.

Right now my script takes care of finding the 2nd characteristic of suspicious account names (similar components in name) using Python's Fuzzy Wuzzy package and using 50% as the similarity threshold. The script is listed below:

I'm trying to execute Azure Table Storage API using Powershell Invoke-RestMethod but it returns 415 error.

Here's Powershell code:

I am trying to extract the blocks of code that follow each [EventDate] tag in a given file. These all begin with 1. and end with varying numbers. The examples below begin at 1. and end at 46., and 50.. There are many more than 2 in each file.

The goal of this is to count how many moves each block of code has. In this case, 46 for the first block, and 50 for the second. Once i have extracted the blocks, I will be able to count the periods "." to get a total count of moves.