armadillo | shared preference implementation for confidential data | Encryption library

I'm new to c++ and Armadillo. I've written a function as follows:

I am developing a program, making heavy use of Armadillo library. I have the 10.8.2 version, linked against Intel oneAPI MKL 2022.0.2. At some point, I need to perform many sparse matrix times dense vector multiplications, both of which are defined using Armadillo structures. I have found this point to be a probable bottleneck, and was being curious if replacing the Armadillo multiplication with "bare bones" sparse CBLAS routines from MKL (mkl_sparse_d_mv) would speed things up. But in order to do so, I need to convert from Armadillo's SpMat to something that MKL understands. As per Armadillo docs, sparse matrices are stored in CSC format, so I have tried mkl_sparse_d_create_csc. My attempt at this is below:

I'm working with the Armadillo linear algebra library for C++ to diagonalize large matrices up to 65k x 65k on a cluster operating with SLURM. For matrices larger than 30k x 30k i get the following error message:

Does anyone know how to do ifftshift + ifft (by row) for matrix in armadillo ?

I did in matlab : ifft(ifftshift(mat,2),[],2); where mat is matrix (3,18000);

I already tried to do something like in C++ :

I'm trying to create a C++ Jupyter Notebook using xeus-cling and mybinder. I wanted to include the library armadillo and I was able to do that locally in a Jupyter Notebook as follows:

I'm trying to flatten a data object that contains mixed content (JavaScript within a React application). I just need the keys of every parent and child in the object; I don't necessarily need the values (though having them present wouldn't be a deal-breaker).

I've searched for over a week to find a solution that would fit my use case, but everything I've tried has fallen short, including vanilla JavaScript, Lodash, Underscore, and flat (NPM package).

In every case, I either get a shorter list than I expect (because I'm only getting the parents), or I get a fully-flattened object with dot notation-delimited objects, which is useless to me.

I know there are lots of questions & answers pertaining to this topic, but nothing I've seen matches my use case, and I can't seem to wrap my head around the problem.

Here is a sample of my data structure:

Inside of this NextJS application there is a permissions.tsx file that looks like so:

I am new to Python and struggling to understand the different ways to install packages. I am on MacOS Catalina.

I tried installing the Python package CytoPy (https://github.com/burtonrj/CytoPy) in the terminal:

I'm using Prisma 3.7.0 and Postgresql 13. I need to create a many-to-many relation between two models that has some additional data, but I don't know how to do this in a Prisma schema. The fields I want to add are not appropriately added to either table.

Here's some simplified (contrived) SQL to illustrate the goal:

It's pretty straight-forward in SQL, but I don't quite understand from the Prisma docs how to do it.