environment | My Environment Setup | Code Editor library

I was working on my project and was using pm2-runtime command for the runtime environment but the problem coming in my terminal while running the command npm i gives 2 level warnings that are

A typical way to use group_by and then nest is to estimate a series of models--

I'm implementing Testing Library with Puppeteer and I was trying to use an environment variable, DEBUG_PRINT_LIMIT, to limit the length of the HTML printed to console in case of failure.

But for some reasons, the variable environment is just ignored by the library...

My project:

package.json

I am currently trying to build OpenPose. First, I will try to describe the environment and then the error emerging from it. Caffe, being built from source, resides in its entirety in [/Users...]/openpose/3rdparty instead of the usual location (I redact some parts of the filepaths in this post for privacy). All of its include files can be found in [/Users...]/openpose/3rdparty/caffe/include/caffe. After entering this command:

I installed oracle db version 19c in my docker environment with the following command:

I have a dataset with the name of Danish ministers and their position from 1990 to 2020 (data comes from dataset called WhoGovern; https://politicscentre.nuffield.ox.ac.uk/whogov-dataset/). The dataset consists of the ministers name, the ministers position, the prestige of that position, and the year in which the minister had that given position.

My problem is that some ministers are counted twice in the same year (i.e., the rows aren't unique in terms of name and year). See the example in the picture below, where "Bertel Haarder" was both Minister of Health and Minister of Interior Affairs in 2010 and 2021.

I want to create a dataset, where all the rows are unique combinations of name and year. However, I do not want to remove any information from the dataset. Instead, I want to use the information in the prestige column to combine the duplicated rows into one. The observations with the highest prestige should be the main observations, where the other information should be added in a new column, e.g., position2 and prestige2. In the example with Bertel Haarder the data should look like this:

(PS: Sorry for bad presenting of the tables, but didn't know how to create a nice looking table...)

Here's the dataset for creating a reproducible example with observations from 2010-2020:

I am trying to proxy requests from my containerized React application to my containerized Flask application.

I was starting the application using npm start (in Docker), and I did not have any issues proxying requests. However, I learned that npm start is not a good way to proceed in production.

Following the advice here: Run a React App in a Docker Container , I am able to start my containerized production React, but now the requests are not proxied.

Within the React app, all requests are handled with axios and are formatted: "/api/v1/endpoint". It seems that others have had issues between "http://localhost:80/api/v1/endpoint" and "/api/v1/endpoint". I do not believe this is my issue, unless it arises only in the production environment.

I have also tried changing my "proxy" address in package.json to the location of the dockerized flask container, and later to the name of the docker container, but I have not been able to make either solution work.

If anyone can provide guidance on launching a containerized, production React app that proxies requests to a backend container, please advise.

I am open to using a different server, if the procedures in "Run a React App in a Docker Container" need to be updated.

I have looked these solutions:

Proxy React requests to Flask app using Docker

Flask, React in a Docker: How to Proxy

Posting from React to Flask

I am trying a regression problem with the following dataset (sinusoidal curve) of size 500

First, I tried with 2 dense layer with 10 units each

I'm trying to docerize my NodeJS API together with a MySQL image. Before the initial run, I want to run Sequelize migrations and seeds to have the tables up and ready to be served.

Here's my docker-compose.yaml: