Typology | Swift type checking and semantic analysis

When deploying multiple MaxScale in a Master-Slave typology (failover from master to slave with Keepalived or similar) in front of a Galera Cluster in read-write-split mode , everything goes fine. But what about a Master-Master like typology in a round-robin fashion, is this possible?

Ex.: Having one MaxScale at 10.0.0.1, a 2nd at 10.0.0.2 and Haproxy in front of it with a roundrobin or leastconn distribution algorithm (or even without Haproxy/load-balancer, where applications just connect randomly to one or another) is this possible/well supported by MaxScale?

I have a series of .mdx files that contain the same information but on different sites (ex: title="aswan"; title="rome" etc). These files are located in a folder called "metadata".

I need to insert mdx information into a component (OurSites.js) that goes to form the HomePage of the site (index.js).

This is the content of the OurSites.js component:

Here's the situation, I'm in a Vue context, Laravel as backend. In my homepage I have a select for searching musicians based on their genre, so when I get to this page I want to show in each musician card the stars relative to the average votes received.

But I've got problems to manipulate the votes inside the template, and no idea of how to do in the methods actually. I know it's simple but it's getting me problems.

Here's the visual part of the problem, circled in red

And here's the code:

FilteredMusicians.vue

Here i cicle through the musicians array taken from the Laravel endpoint, then to get the votes i cicle through each musician.reviews to get the review.vote. Here I have problems to sum all the votes in one, and get the average of it.

From same input I have different xpaths for the same element (its almost exactly the same path except for 1 element, see below)

My logic its depends on the element "typology" (defined on my code)

XSLT 1.0

I would like to optimize my code,

I use my xslt code for 2 kind of input, I classify the input /output by "Typology". Typology can be =1 or =2.

Since the output are quite similar, its basically the same file except for 1 extra element

I don't want to keep "Extension1" and "Extension2" in the same xsl. I would like to use one Extension for both typologies.

Before continue, in my original code Extensions have significantly more "elements" and is based on more than 2 conditions.

I have a tricky challenge on a project that I'm not sure quite how to approach or even if it is possible at all.

I have a dataset where the values for two metrics (MetricA and MetricB here) are scraped from government reports from a range of different countries. The data is in a Tidy (long) format and each row is an observation for one metric for one area for one age group.

I am reporting the age ranges for each metric for those less than 15 years old (and for those who are 15 years old and older. The tricky thing is that many countries, but not all, use that typology.

Those countries where the reported values can't be mapped to this typology are discarded and those countries where data is incomplete for all ages is discarded. So, for example, something which had values for "< 15 years old", "15 to 49", "50+") would be kept, while a different country which had "< 18" and "18-49", but that's it, would be discarded, since it didn't have the "50+" people.

So, the challenge is this, I need to be able to pick out only those countries where the rows for that country cover the full gamut from 0 to whatever (I've been using 199 years old as a hypothetical max age in this case), with no overlap between age categories, with a break in those categories so that the data can be aggregated to form both a LT15 (Less than 15 years old) and a GTE15 (Greater than or equal to 15 years old) category. These are marked by minimum_age and maximum_age in my dataset. The proxy value for maximum_age when the value is to infinity (e.g. "18+" or ">59 years old" is 199.

Ideally this would use Tidyverse, but any package that could make this work would be fine.

A reprex for my dataset is here. In this case the Portuguese data would be discarded because there was no information for the 51 and greater age category.

I have the following HTML Markup:

Hi i have these 4 tables: users, dishes, dish_order, orders.

users: some fields no foreign key

dishes

• id
• name
• desc
• price
• visible
• type
• user_id

dish_order

• id
• dish_id
• order_id

orders: some fields no foreign key

These are the models: User, Dish, Order.

User:

I have a map that displays a marker for every diferent public facilities in a city and I want to have a group of checkboxes to filter this facilities according to its typology, one checkbox for typology. Each typology will have multiple markers and the map will only show the checked ones.
I'm using react-leaflet v3.

This is what I tried to do: