Pois | Whois lookup behind proxy using Python | Security Testing library

Following is a kind of data set I am working on it:

I use flutter_map library and I have an array of objects that I named POIs (point of interest) which are displayed on a map. Every poi has a value named type which can be "map_eglise", "map_basilique", etc... All of them are displayed on my map and it causes a lot of lags when ther is many pois displayed.

I want to display only a certain type of poi regarding the zoom level on the map. I know how to get the zoom level (in my mapController.zoom) but I don't know how to filter my pois array and objects with the zoom level. I've written a function named getFiltersByZoom which I think could be useful, but I didn't find a way to use it at the moment.

I'm using the HERE JS library for mapping. I'd like to add an option into the MapSettingsControl to select the POI Map, as shown at https://developer.here.com/documentation/map-tile/dev_guide/topics/example-poi-tile.html

It seems you need to append "&pois" to the tile requests in order to get this.

I've followed the example in How do I get a Terrain Map in UI Controls HERE Maps v3.1 to create a new selectable map style in the MapSettingsControl.

However, it seems you can only select the map style name and cannot append arguments. Specifically, I cannot see a way of appending the &pois argument to the tile request to get the POI tiles.

Any suggestions?

The rand_distr::Poisson struct provides some useful sampling code, whereas the statrs::distribution::Poisson struct provides other things like pmf() and so on.

I'd like to use both; is this possible?

I am working on Laravel query that shall count the latest month data and also group by week, for the last 3 months. I have tried to fix that in a few ways but still it's exceeds my memory limit and load very slow. Bellow is the current code that I am using to get the final results - but same problem is also here.

Any idea how to optimize the counting and grouping the data?

I am trying to define a toy probabilistic programming language to test various inference algorithms and their effectiveness. I followed this tutorial to create a Scheme like language with a basic structure. Now I want to use the monad-bayes library to add the probabilistic backend. My end goal is to support sampling from and observing from distributions. This is the definition of my expressions

I have a SQL table with this nested structure:

I have a table built like this:

i have a list that contains number of tuples.

POIs = [(3,2),(6,2),(6,5),(10,1),(12,-2),(5,7)]

the tuples inside of POIs are 2D-coordinates of detected objects. What i'm trying to do is to check the eucludian distance between these objects so that if the distance between each two objects is smaller than 3, then the two objects are considered as one and the new coordinate would be the average distance between them.

Conceptionally,this looks like a clustering problem and requires to examine the distance of every object with the other and calculate the distance like