coaster | Extendable HPC-Framework for CUDA , OpenCL and common CPU | GPU library

I'm trying to get some insight in this room for optimization for a SQL query (BigQuery). I have this segment of a WHERE clause that needs to include all instances where h.isEntrance is TRUE or where h.hitNumber = 1. I've tested it back and forth with CASE statements, and with OR statements for them, and the results aren't wholly conclusive.

It seems like the CASE is faster for shorter data pulls, and the OR is faster for longer data pulls, but that doesn't make sense to me. Is there a difference between these or is it likely something else driving this difference? Is one faster/is there another better option for incorporating this logical requirement into my query? Below the statement is my full query for context in case that's helpful.

Also open to any other optimizations I may have overlooked within this query as lowering the runtime for this query is paramount to its usefulness.

Thanks!

I have the following code that looks if a key exists and if so, returns the key and the value:

I'm building a roller coaster design tool and working on the coordinate system. The structure for 2 lines next to each other is basically set up so the the user will have to only enter a distance for the control point and the x,y,z coordinates for the end point. the control points between the 2 and the end point of the first line must all be aligned for the curve to be smooth. to make it easier to design the track spine I set up the coordinate structure to take the control point as a distance so the point can be calculated later when ever thing gets rendered. here is my coordinate system :

Here are the categories each with a list of words ill be checking the rows for match:

I have a multidimensional JSON array (see array)

I have a problem about implementing recommendation system by using Euclidean Distance.

What I want to do is to list some close games with respect to search criteria by game title and genre.

Here is my project link : Link

After calling function, it throws an error shown below. How can I fix it?

Here is the error

so, I'm trying to parse a list of questions into a list of objects of a class I created called Question

Given a list of strings with the SAME length, search for a way to transform a start string to an end string one character at a time such that every transformed string is still present in the list of strings.

INPUTS!
Input starts with T for the number of test cases. Then, in another line comes m asking for the number of strings to put in the list. m lines follow asking for the strings of the same length, and then, the last line consists start and end separated by a space.

Example:

I have two data frames with coordinates of attractions and exists.