Reloc | Transform dumped executable memory | Cybersecurity library

I am new to Spark and am trying to run on a hadoop cluster a simple spark jar file built through maven in intellij. But I am getting classnotfoundexception in all the ways I tried to submit the application through spark-submit.

My pom.xml:

This is my first post here and I am not that experienced, so please excuse my ignorance.

I am building a Monte Carlo simulation in C++ for my PhD and I need help in optimizing its computational time and performance. I have a 3d cube repeated in each coordinate as a simulation volume and inside every cube magnetic particles are generated in clusters. Then, in the central cube a loop of protons are created and move and at each step calculate the total magnetic field from all the particles (among other things) that they feel.

At this moment I define everything inside the main function and because I need the position of the particles for my calculations (I calculate the distance between the particles during their placement and also during the proton movement), I store them in dynamic arrays. I haven't used any class or function,yet. This makes my simulations really slow because I have to use eventually millions of particles and thousands of protons. Even with hundreds it needs days. Also I use a lot of for and while loops and reading/writing to .dat files.

I really need your help. I have spent weeks trying to optimize my code and my project is behind schedule. Do you have any suggestion? I need the arrays to store the position of the particles .Do you think classes or functions would be more efficient? Any advice in general is helpful. Sorry if that was too long but I am desperate...

Ok, I edited my original post and I share my full script. I hope this will give you some insight regarding my simulation. Thank you.

Additionally I add the two input files

parametersDiffusion_spher_shel.txt

parametersIONP_spher_shel.txt

https://docs.oracle.com/cd/E23824_01/html/819-0690/chapter6-54839.html#chapter7-2 states:

64–bit SPARC and 64–bit x86 use only Elf64_Rela relocation entries. Thus, the r_addend member serves as the relocation addend. x86 uses only Elf32_Rel relocation entries. The field to be relocated holds the addend.

There exists an Elf64_Rel struct, so why isn't it being used on 64-bit x86 targets? Doesn't using Elf64_Rela only waste space here as the pre-relocation addresses are just ignored (or at least are always 0 from what I've seen in testing)?

Note: r_addend is omitted in Elf64_Rel, not simply unused.

I am currently working on a project that has div with a background image sliding in using a transform: translate. This div has a z-index of zero while some other sibling elements have a higher z-index to ensure they are placed on top. This seems to work fine in my landscape version. However, as this use case only has a landscape version, I am also implementing a transform: rotate when in portrait mode to ensure landscape viewing. When viewing in portrait, the background image slides in above everything, then relocates to the back. Not breaking, but sloppy, as this should be rotated anyways. However, after deployment, I was informed that there have been two instances of the image never relocating to its 0 Z-index home and breaking the usage. I have looked at https://katydecorah.com/code/z-index-and-transform/ and z-index is canceled by setting transform(rotate) and am still not sure how to approach this. The issue only seems to occur in Safari while applying the rotate.

Rough outline of HTML elements:

I have run some Python code in Windows 10 and gotten the Traceback error below. Does it mean the string that is supposed to be an int occurs in line 347 of /DeOldify/deoldify/filters.py or line 1943 of /lib/site-packages/PIL/Image.py?

For context, below the traceback error, I've also included the steps that lead to this error (I attempted to colorize a black and white film clip based on the DeOldify Colab https://colab.research.google.com/github/jantic/DeOldify/blob/master/VideoColorizerColab.ipynb but only succeeded at colorizing the first frame as a .jpeg) and the full terminal output.

EDIT: Thanks to @Daweo's response, I discovered the problem was with the arguments I entered into the terminal as indicated by "", line 1. The correct command should have been:
video_path = colorizer.colorize_from_file_name(file_name='my_video.mp4', render_factor=render_factor)
Also, the code for colorizing a photograph is from https://colab.research.google.com/github/jantic/DeOldify/blob/master/ImageColorizerColab.ipynb

The error:

I created a shortcut in a Windows PC with a target path of:

C:\Users\b\Desktop\New Text Document.txt

Then I copied the shortcut to another PC with a different user name, and I want to retrieve the original target path.

If you open the shortcut file with a text editor, you can see the original path is preserved, so the goal is definitely possible.

The following code does not work, despite the presence of SLGP_RAWPATH. It outputs:

C:\Users\a\Desktop\New Text Document.txt

It is changing the user folder name to the one associated with the running program.

I understand that the problem is not about environment variables, because no environment variable name can be seen in the file. But I can't find any documentation about this auto-relocation behavior.

I Have two data frames for is sales data with many different columns and another is incentive scale data .

I am trying to map scale against goals in sales data , then I am trying to recalculate Target columns against incentive scale . but unable to create the perfect logic to do this .

Assume an unsafe method. There is a fixed block that pins an array by the first element, i.e. fixed (void* p = &array[0]). In that block, an instance is being created by either a new keyword, or by a Marshal.PtrToStructure. Am I risking p to point to an invalid address? Will this corrupt the memory?

Example:

I have a dataframe comprised by 4 columns, with temperature data from 3 different locations, from different periods rbind-ed in a single data frame. I want to select temperatures which are in common dates/time(hours) from the 3 stations.

Below I provide a reproducible example :