feature | Feature flagging API used for operational rampups | Access Management library

I am writing a program in python to have a user input multiple websites then request and scrape those websites for their titles and output it. However, when the program surpasses 8 websites the program crashes every time. I am not sure if it is a memory problem, but I have been looking all over and can't find any one who has had the same problem. The code is below (I added 9 lists so all you have to do is copy and paste the code to see the issue).

How can we pass additional data to Client application from Identity Server 4 in response after successful authentication?

We are using Identity Server 4 as an Auth server for our application to have user authentication and SSO feature. User information is stored and is getting authenticated by an external service. IDS calls the external service for user authentication. On successful authentication, the service returns the response back to IDS with 2 parameters:

1. Authorization code
2. Additional information (a collection of attributes) for the user.

IDS further generates Id token and returns response back to MVC client with standard user claims. I want to pass the additional user information(attributes) to client application to display it on page. We tried adding the attributes as claims collection through context.IssuedClaims option but still I am not getting those attributes added and accessible to User.Claims collection in MVC client app.

Can anyone suggest an alternative way by which we can pass those custom attributes to client app. either through claims or any other mode (httpcontext.Items collection etc)

I have a list (dput() below) that has 4 datasets.I also have a variable called 'u' with 4 characters. I have made a video here which explains what I want and a spreadsheet is here.

The spreadsheet is not exactly how my data looks like but i am using it just as an example. My original list has 4 datasets but the spreadsheet has 3 datasets.

Essentially i have some characters(A,B,C,D) and i want to find the proportions of times each character occurs in each column of 3 groups of datasets.(Check video, its hard to explain by typing it out)

Sometimes I find myself needing to initialize an object with a property that matches the property of another object. When the property name is the same, I want to be able to use shorthand syntax.

(For the purposes of the examples in this question, I'll just keep the additional properties to a tag: 1 property, and I'll reuse message in subsequent examples as the input/source of the information. I also indicate an extra unwanted property of message because I'm cherry-picking properties and do not intend to just use Object.assign to assign all the properties of message to the result.)

I want to use the built-in secrets feature in .NET Core and it is not working for me and I don't understand why I am doing exactly what is needed. I would appreciate it if you can help me and let me know what is missing.

In the developers commands I run this:

I created a new Quarkus app using the following command:

I'm working with some data where I have hourly observations for patients. In some cases, some of the features for a specific patient are completely empty. I'm trying to find a way to impute the data by using constant average that's based off a population subset of 50 other patients who have the same gender and a similar age. I've given a simplified look at the data below:

I've reordered the dataframe by age and have this code so far

data = data.sort_values(['Age']).groupby(['PatientID','Gender']).apply(lambda x: x.fillna(x.mean()))

But I know that that's going to use all of the available data to find the mean but I'm not sure how to limit it to 50 patients of a similar age.

I have a question about how rebasing works in git, in part because whenever I ask other devs questions about it I get vague, abstract, high level "architect-y speak" that doesn't make a whole lot of sense to me.

It sounds as if rebasing "replays" commits, one after another (so sequentially) from the source branch over the changes in my working branch, is this the case? So if I have a feature branch, say, feature/xyz-123 that was cut from develop originally, and then I rebase from origin/develop, then it replays all the commits made to develop since I branched off of it. Furthermore, it does so, one develop commit at a time, until all the changes have been "replayed" into my feature branch, yes?

If anything I have said above is incorrect or misled, please begin by correcting me! But assuming I'm more or less correct, I'm not seeing how this is any different than merging in changes from develop by doing a git merge develop. Don't both methods result with all the latest changes from develop making their way into feature/xyz-123?

I'm sure this is not the case but I'm just not seeing the forest through the trees here. If someone could give a concrete example (with perhaps some mock commits and git command line invocations) I might be able to understand the difference in how rebase works versus a merge. Thanks in advance!

I have a Drilldown world map(continent map + country map) where the second map(the country map) is zoomed-in onload by using fitExtent function. Since it is zoomed-in, I wanted to implement a draggable feature where I can drag the map and see other part of the map.