dhc | DirectInput/Xinput hotplug emulation

I've Worpress site with JetOne theme installed

When I click root menu element in the main navigation menu to open its items(links in that root element) click action for selected link (the root element) also triggered that's the matter. The problem is present on mobile view for that theme. I already tried

I'm trying to receive stock data for about 1000 stocks, to speed up the process I'm using multiprocessing, unfortunately due to the large amount of stock data I'm trying to receive python as a whole just crashes.

Is there a way to use multiprocessing without python crashing, I understand it would still take some time to do all of the 1000 stocks, but all I need is to do this process as fast as possible.

I have developed an ios application that allow users to edit a musical score sheet and now i'd like to implement data persistence to prevent the discarding of changes.

Reading on ios documentation i've noticed that exists different ways to improve data persistence and I believe that the best way for my application is Core Data. Considering that my application use a lot of custom object i met a lot of problems.

I'm trying to use core data to save an entity, referred to a score sheet, composed by two attributes:

• name: String
• score: Array of another custom object (Measure), composed by other custom object (Score Element)

According to documentation and other q/a I've decided to use a Trasformable type on the model:

So I've declared a generic class used as trasformer for score attribute:

I realize this question or similar has been asked 20 times and I've read through all of the entries and tried the fixes with no luck.

I am getting a 405 error when trying a POST request from the DB only when using heroku.

My code works when deploying from my own local server both from src and build folders. I have tried the following:

• update Atlas whitelist to 0.0.0/0
• created an ENV key in Heroku and set up code to use that.
• reset my db password on atlas
• added cors module to Express code.

I'm completely at a loss as to why this isn't working now.

Here's the code in question with the first POST Request:

App.mjs

The situation is that I want to connect two cluster IP services that are inside a tenant which already has Traefik as NodePort so that any of these two services can be a LoadBalancer because the NodePort is used by Traefik.

The two services I am trying to connect work as follows. The first one, which I called "Master", will receive a post from the client with a text and will call the other service, called "slave", which will add some text ("Hola Patri") to the text sent by the client. The two services are flask services defined by the app.py in the Docker image. You can see the app.py for both images below:

master/app.py

I'm trying to call a service, it's works in DHC, but when I try to call in my angular 2 project, it crash, the method request is POST, receive an object from body who has a email and password, and the response is a token, that I will use in the entire project for authorization.

Here is my code.

I am running a HashiCorp Vault stateless set in K8s with 3 pods on three nodes.

After deployment I manually unseal Vault. Vault then stays unsealed all the time.

The problem is when one of the nodes is restarted, the Vault pod restarts in unsealed mode. Is there any way to automatically unseal the Vault node by server-server-communication with one of the already unsealed pods?

I do not want to have to unseal the Vault pods manually when my Kubernetes environment gets updated and all nodes get restarted (rolling update - one by one).

I also do not want to store the unseal keys in a K8s secret or even a file as this makes encryption of my secrets useless.

This is my yaml:

I have a file that needs to be passed some arguments to start executing a process. The file is ../main/serv. If I execute this command in unix shell terminal everything goes alright.

I am trying to build an OCR for recognising seven segment display as mentioned below

Using preprocessing tools of open CV I got it here

Now I am trying to follow this tutorial - https://www.pyimagesearch.com/2017/02/13/recognizing-digits-with-opencv-and-python/

But on the part