eq.js | Lightweight JavaScript powered element queries

Im using next.js and strapi. I am trying to set a httpOnly cookie between my next js front-end and my strapi app.

The cookie is recieved by the backend however when i try to make a request to the backend - The cookie is not present. However when i use postman the cookie set is present.

Strapi app:

I'm learning ReactJS, I'm trying to get data from an API,the data is loaded, however when using "items.results" in MovieRow.js, I get these errors:

*Uncaught TypeError: Cannot read property 'results' of undefined.

*Warning: Each child in a list should have a unique "key" prop.

**

Tmdb.js

Goal - creating middleware-like callback in userHandler in util.js util.js for some express routes in express app, generated with express-generator and sequlize-cli.

Expected - user model successfully used in routes and userHandler in util.js.

Result - user model successfully works in login route, but is undefined in userHandler in util.js. When requiring models fully getting {}. Require seems correct.

console error

I don't understand how this https://github.com/bbc/peaks.js/blob/master/demo/TOL_6min_720p_download.json can be turned into a waveform visualization with peaks.

I see the data in that file is a flat array of numbers. I am trying to understand how to convert those numbers into something meaningful for visual drawing.

Check out this fiddle to see a deeper look into the code https://codesandbox.io/s/cool-dijkstra-fyw25?file=/src/App.js

The goal is to create peaks with a high and low that looks like the image. I assume every 2 indexes represent a peak, but I don't want to assume anything.

I am pulling the JSON and passing it into the draw function like this

I'm trying to build a model in Tensorflow.js to classify 2 features.

Input (training) data screenshot for clarity <- "Class" there is the label for A and B features inputs.

My results looks like this: Results where "Pred-Class" is predicted by model

So, based on results I would like to ask community the next questions:

1. I'm feeding the model with One Hot values for classification in the next Tensor:

The below server code is working fine for 5GB file using wget http://localhost:11146/base/bigFile.zip but not using client side code.

Server side code.

I found out that editing a full_description of a DockerHub repository can be done via a JavaScript API, and figured this would be a fun excuse to learn the requests package for python. The JavaScript API definitely works, e.g. using this simple docker image.

The JS API basically does

1. Send a POST request to https://hub.docker.com/v2/users/login with the username and password. The server responds with a token.
2. Send a PATCH request to the specific https://hub.docker.com/v2/repositories/{user or org}/{repo}, making sure the header has Authorization: JWT {token}, and in this case with content body of {"full_description":"...value..."}.

What is troubling is that the PATCH request on the python side gets a 200 response back from the server (if you intentionally set a bad auth token, you get denied as expected). But it's response actually contains the current information (not the patched info).

The only "discoveries" I've made:

• If you add the debug logging stuff, there's a 301. But this is the same URL for the javascript side, so it doesn't matter?

  ...

In my react application, I have a child component LoginForm as follows:

So I have a problem with react-redux. I have a SignIn screen where people can enter their username and password. These credentials are send to the server, and if the are correct, an auth token is send to the client. I store this auth token in redux. To "visualize" my problem, I've added the (simplified) code below. Below the code is some more explanation.