magma | truth fuzzing benchmark suite based on real programs

I'm producing a multivariate probability density function below. This works fine but I'm hoping to normalise the Z value so it elicits a value between 0 and 1.

To achieve this I want to divide the distribution value at the mean so it's always 1 at the mean and lower elsewhere. I understand the sum of all values will be greater than 1.

I'm diving Z but the sum of Z but when printing the values, they still are outside my intended normalised range.

I am trying to plot a heatmap ontop of a geographical map to show the geographic distribution of a variable. The minimum working code, with absurd data, is the following:

I have a nested loop where I want to check if a certain condition holds on a table of usize values. However, the table may only be partially filled -- so it is actually a table of Option variables. When at least one of the values is missing, I do not consider the condition to be violated, and therefore want to continue on with the next set of values.

Currently I do it as follows:

I have a project based on the Angular.io tutorial, including "Hero"-interface and data, as well as a "HeroService" using HTTPClient.

I am able to fetch the data and display it using standard HTML in the template, but not when using the PrimeNG table, using the example from their webpage. So I have the data I need for the template, but I am not sure how to correctly pass it to PrimeNG. I am hoping to do it whithout changing how the HeroSerice works.

I am in general confused by Observables, Promises, and associated tech, so it's hard to describe further. I have read Using PrimeNG with Observables (rxjs) in Angular 4, without solving my issue.

Hero Interface:

I have the following code to generate a county level map of vote change between 2016 and 2020.

Currently I am using MAGMA 2.5.4 to solve a batched linear solver with tiny sizes of matrices. I want to involve magma_dgesv_batched in my project compiled via a CMakeLists file.

The include_directories and target_link_libraries are shown below.

I am trying to plot some aerosol particle data in a heatmap using levelplot. I currently am using a wide dataset shown below:

I have a dataset of images and image masks which feed a neural network. After training process, I want to evaluate the results visually. Thus, I developed a functionality in order to display the reference image, the related mask image and the predicted image in a 3 x 3 grid using Keras ImageDataGenerator class, Numpy and Matplotlib. But while the images are displayed, the reference image and the mask image are not related. They don't have the same ID.

For Instance the code can be displayed the following:

I've plotted point data of parakeet observations (fake for now) across the UK with the observations coloured by the population density of the area the observation was made in. I have a continuous scale bar as I want but the scale itself is awkwardly annotated. How can I plot it with more even dividers?

Here is the code:

############################ #PLOT OBSERVATIONS x POP_DENS ############################