centurion | A mass deployment tool for Docker fleets | Continuous Deployment library

I concatenated all titles by group, and tokenized them:

If you make your stack navigator a screen of your drawer navigator instead of the other way around you have access to the navigation object of the drawer, which allows you to call navigation.toggleDrawer() inside the MainPage component.

Here's an example:

You can use this XPath-1.0 expression:

For non-polish readers: you are given those books only when preparing your solution, you won't have access to them during test. If you try to bundle them with binary somehow those would exceed 10kb limit hence you need to compress information somehow.

I would go for Naive Bayes classifier by default for a simple solution .

Due to time constraint I would go a little bit different route though.

Read all files in and tokenize them. Would be easiest with Python's split functionality (and whole program would be easiest, time constraint probably won't be a problem). Split on whitespace and punctuation as those are mostly noise and are not representative of texts.

Now calculate how often each of the tokens (words) occurs in each text, e.g. dog occured 15 times in first text and 3 times in another. Save those in three separate dictionaries, if the size of dict exceeds 10kb remove words occurring least frequently and adjust accordingly.

Use 3 unsigned long variables to keep results for each texts to keep overflow in check (it should be enough).

For every input text split it just like above.

For every word check in dictionaries how often those occured for each text and add this to one of 3 result variables. If it doesn't exist just add 0.

Finally return text which gathered "most points" this way. This should get quite a good score.

Naive Bayes with probabilities would work much better but given competition constraints I don't think it is a viable solution.

To do it, you would have to calculate probability of each word for each text and use log operstions during summation to avoid aforementioned overflow, just throwing it out for you to consider, doable but probably overkill.

I think importing BrowserRouter as Redirect and using doesn't work as BrowserRouter component is for an entirely different purpose and don't expect a to prop. Changing the imports to

The following shows you how to do for one drop down (it gathers all the optgroups within). It avoids using a browser and goes with the faster xmlhttp request. I use getElementById, to get the parent select element, and then getElementsByClassName to retrieve the child option tag elements. I loop from 1 to avoid the empty first element.

You need to read https://kotlinlang.org/docs/reference/java-interop.html#null-safety-and-platform-types to understand the way the inferred type is written. But the problem is simple enough:

Based on the proposition by @ulfelder I'd suggest purrr solutions for both your issues.

If every row contains area name after 'Food' then you can simply ignore everything past that.