bones | A project template for Go webapps | Regex library

I have a sandboxed document-based (NSDocument) app. When saving files, I get weird sandboxing errors:

We're trying to implement AVPlayer seek in our SwiftUI app, it worked prior to iOS 15.4 but not after the update.

I'm running Python 3.9.1

Note: I know there are questions with similar titles. But those questions are embedded in complicated code that makes it hard to understand the problem. This is a bare-bones implementation of the problem which I think others will find easier to digest.

EDIT: I have Pool(processes=64) in my code. But most other will probably have to change this according to how many cores there are on their computer. And if it takes too long, change listLen to a smaller number

I'm trying to learn about multiprocessing in order to solve a problem at work. I have a list of arrays with which I need to do a pairwise comparison of the arrays. But for simplicity, I've recreated the gist of the problem with simple integers instead of arrays and an addition function instead of a call to some complicated comparison function. With the code below, I'm running into the titular error

I am working with Vuetify menu and button components. I am trying to pass the menu and attrs from the activator slot in the template in SomeFile.vue into the v-btn in the MyCustomButtonTemplate.vue file, but I cannot figure out how to do it. Does anyone know how to correctly pass those values? A bare bones example is shown below

SomeFile.vue

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:

There is a similar thread and I like one of the answers there, the one using shell. But it seems to connect to a running instance of mongo.

In my case, there's no running instance, the Mongo db is somewhere else and I can't figure out how to connect to it using this script. I guess i would need a way to add a connection string to an outside MongoDB using an approach similar to the one below.

How to connect Mongodb from Excel

This is the answer

The Shell Approach Pretty much anything that interfaces with the Command Line can be accessed with Shell.

Here's a bare-bones example that connects to a running MongoDB instance and prints a query to the Immediate Window. You'll need to add a reference to the Windows Script Host Object Model.

The data are held in an Oracle 12c database, one row per ICD-10-CM code, with a patient ID (foreign key) like so (note that there could be many other codes, the following are just the ones pertinent to this question):

What is the simple and elegant way to use renv, venv and jupyterlab with IRkernel together? In particular, how to automatically activate renv from jupyter notebook that is not in the root directory?

I'm embracing a "polyglot" data science style, which means using both python and R in tandem. Now venv is awesome, and renv is awesome, and jupyterlab is awesome, so I'm trying to figure out what is the neat way to use them all together.

I almost have it, so probably a few hints would be enough to finish this setup. Here's where I'm at.

Start with a clean OS, and install system level requirements: R + renv and Python + venv. For example on Ubuntu it would be approximatelly like that:

i want to rotate a bone so it is alligned with a Vector3(directionToTarget), i have