bst | line computation of visibility graphs | GPU library

I have a BSTNode struct with an insert function in it:

I'm trying to write functionality to print a vertical binary tree diagram,

I've got the correct breadth-first search algorithm written, and it outputs the BFS-ordered tree traversal to an integer vector. The code can be seen below:

Hi I've made a simple Binary Tree and added a pre-order traversal method. After throwing around some ideas I got stuck on finding a way to return each value from the traverse_pre() method in an array.

I was coding a BST Tree, and first i made it with integer key, everything worked fine. Then i copied my code and made some changes, i switched integer key to string key and also added one new pointer (because my goal is to create two trees, one with English words and one with their Polish translation) so i tested it just on single tree with string key first and insert function works fine like in the interger tree, but search function is returning some garbage insted of NULL or pointer to node. I dont really know what is a problem here.

I put the code of Integer tree below:

I'm trying to write a method that can transfer an array into a Binary tree. I know the code is not right, I run it and hope it would show something that I can continue to fix it. But it just kept loading without any error or result. May anyone give me some advice, please! Here is the BST class:

I'm solving LeetCode 783. Minimum Distance Between BST Nodes and I've noticed that the difference between a correct solution and an incorrect solution is a reference (&) at my function call, as follows:

Correct Solution:

I am trying to create model using XGBoost.
It seems like I manage to train the model, however, when I try to predict my test data and to see the actual prediction, I get the following error:

ValueError: Data must be 1-dimensional

This is how I tried to predict my data:

xgb.train is the low level API to train an xgboost model in Python.

• When I use XGBClassifier, which is a wrapper and calls xgb.train when a model is trained, I can print the XGBClassifier object and the hyperparameters are printed.
• When using xgb.train I have no idea how to check the parameters after training

Code:

I have a crontab scheduling many things on an Ubuntu server which runs on UTC time. Some of the scripts being run are time sensitive in relation to the web applications they are providing functionality for.

e.g. Something has to be updated at 4pm every day, as the end users see it by their clock.

This is not an issue during the winter when the UK is on GMT, but from April to October, the clocks go forward an hour for British Summer Time (BST). The scripts running on the server then update the web application at what appears to be 5pm for the users, instead of 4pm.

Is there a way to conditionally adjust the crontab's scheduled times for this time zone change?

The intention below is to run on the first day of every month at 00:00. During BST, my understanding is that this will run at 01:00 BST during daylight savings: