osp | Open Source Physics Core Library | Animation library

I am trying to perform an image classification task using mini-imagenet dataset. The data that I want to use, contains a few bad data points(I am not sure why). I would like to load this data and train my model on it. In the process, I want to skip the bad data points completely. How do I do this? The data loader I am using is as follows:

I want to print code without \n on the result. This is my code

I want the user to fill out a "form" in Excel where there is a cell labeled "Number of Strands" and when the user hits the "Submit" button of the form, the data is copied to another sheet named "OSP" and the inputted data is copied the number of times equal to that of "Number of Strands" cell. So if I fill out the form and have Number of Strands = 5, I want that data copied into 5 rows at the bottom of "OSP" sheet. I have attached a screenshot of the form and the code I have so far is below. I have been able to get the form to copy the data from the form to the "OSP" sheet, but cannot figure out how to copy that data x number of times.

I was originally trying to have so if the user had a start and end strand number, say 1-5, it would count the integers in that range (5), insert that number of rows with the inputted data, but also Number the "Strand Number" column of the newly made 5 rows to show descending as 1, 2, 3, 4, 5. If the user were to input a range of 440-460, when submitted, 21 rows would be added and the "Strand Number" column would display 440, 441, 442, 443, etc, but I found this to be too complicated.

I tried multiple code options but can't find one that truly suits my need. Any help copying the data x number of times based on this cell's value would be greatly appreciated.

Pic of the Form

I'm working using Mmdetection to train a Deformable DETR model using a custom COCO Dataset. Meaning a Custom Dataset using the COCO format of annotations. The dataset uses the same images as the COCO with different "toy" annotations for a "playground" experiment and the annotation file was created using the packages pycocotools and json exclusively.

I have made five variations of this playground dataset: 2 datasets with three classes (classes 1, 2, and 3), 1 dataset with six classes (classes 1 to 6) and 2 datasets with 7 classes (classes 1 to 7).

Now, after creating the dataset in mmdetection using mmdet.datasets.build_dataset, I used the following code to check if everything was OK:

This is an embarrassingly simple code, but producing very weird result:

I want to save video file as Summary_1.mp4 ,summary_2.mp4 ....for n files without overwrite How can i do that ,

I have a design I've implemented using vhdl that is triggered based on a clock that sends an input signal to one of 8 output channels based on the sel input and also another 2 bit input. The elaborated design shows a lot of nesting due to the many if-else statements. So, I'm curious as to if there's a way to alleviate the nesting using case statements or some other method. I'm unfamiliar with doing this using case statements because I have two inputs that determine the output channel. The code that I currently have is displayed below.

I have currently two files that i am working with. I have the following code and the question is from this site: https://www.it2051229.com/filesystemsimulation.html

I have created a Java project with SpringBoot and want a Get-Request to display all available shell scripts. The shell scripts are inside the package: 'scripts'.