Concern | Control pym2149 or FoxDot using Vim | Plugin library

I'm trying to figure out what the best option to solving this problem. I have an frontend application that will cater for both normal user and different company users. I want the normal user to only see the email and password fields while the company user see their respective IDP without seeing other company's IDPs.

At first, I was thinking of using a custom policy to achieve this. Basically I'll have a custom claim in the outputclaims that will specify the domain and inside my orchestration I'll have a precondition if it doesn't exist then use email and password step and skip everything but if it exist, then skip the email and password and match it to an idp selection step (if domain == companyX) use CompanyX's IDP (GSuite) or (if domain == companyY) use CompanyY's Idp (AAD). So when the company users gets to the selection page they can only see their IDP and not the others. I'm not sure how scalable that would be though.

The second option I thought was to have one ROPC policy for the normal users and use another policy for IDP selection but this time passing a domain_hint when user attempts to login in. The reason why I would go with ROPC on this option is to give user consistent user experience, normal user sees fields on the page while company user sees a single IDP button that directly sign through the domain_hint directly (Sign-Direct). Essentially having all the UI controlled by me instead of azure.

Example:

• domain_hint=CompanyX - I would have a TechnicalProfile with the domain CompanyX (GSuite)
• domain_hint=CompanyY - I would have a TechnicalProfile with the domain CompanyX (AAD)

Now this approach seem to be more intuitive but now my concern is that since ROPC uses Authorization Flow which contains refresh token while the Idp selection flow uses OpenIdConnect which doesn't contain refresh token (or at least managed by AzureB2C) it would screw up how I manage my tokens.

Is there a better way to implement this situation?

I feel like I'm missing something or I'm misinterpreting something.

I am trying to run a simple parallel program on a SLURM cluster (4x raspberry Pi 3) but I have no success. I have been reading about it, but I just cannot get it to work. The problem is as follows:

I have a Python program named remove_duplicates_in_scraped_data.py. This program is executed on a single node (node=1xraspberry pi) and inside the program there is a multiprocessing loop section that looks something like:

Heyy ^^ I'm coding a selenium program, but I'm stuck in one place. This program is made to buy 1 graphics card, on a French site, for my son's birthday. So there you have it, I coded everything but now my concern is that the web page of this graphics card is only available when it is in stock so the program cannot find the button by xpath "add to cart" . So I had the idea to make a loop so that as long as the "add to cart" button is not available, the program opens the page of the graphics card to infinity (like this when it is available, the button appears and the rest is done). However, I don't know how to achieve this condition, this loop, can you help me? I am on selenium with webdriver

We are using stream ingestion from Event Hubs to Azure Data Explorer. The Documentation states the following:

The streaming ingestion operation completes in under 10 seconds, and your data is immediately available for query after completion.

I am also aware of the limitations such as

Streaming ingestion performance and capacity scales with increased VM and cluster sizes. The number of concurrent ingestion requests is limited to six per core. For example, for 16 core SKUs, such as D14 and L16, the maximal supported load is 96 concurrent ingestion requests. For two core SKUs, such as D11, the maximal supported load is 12 concurrent ingestion requests.

But we are currently experiencing ingestion latency of 5 minutes (as shown on the Azure Metrics) and see that data is actually available for quering 10 minutes after ingestion.

Our Dev Environment is the cheapest SKU Dev(No SLA)_Standard_D11_v2 but given that we only ingest ~5000 Events per day (per metric "Events Received") in this environment this latency is very high and not usable in the streaming scenario where we need to have the data available < 1 minute for queries.

Is this the latency we have to expect from the Dev Environment or are the any tweaks we can apply in order to achieve lower latency also in those environments? How will latency behave with a production environment loke Standard_D12_v2? Do we have to expect those high numbers there as well or is there a fundamental difference in behavior between Dev/test and Production Environments in this concern?

I am looking for some help concerning WordPress plugin development. My plugin queries an API which requires an Authentication Token, that token is fetched via a Token delivery APi. The token expire every 3600 seconds.

I would like to store the Token, in a persistent way (for all sessions , like server side caching) and update it only when needed. Multiple Api call could be done with the same token. The problem is, if I store the token in a global variable, it gets reset each time a user reload a page which uses my plugin. https://wordpress.stackexchange.com/questions/89263/how-to-set-and-use-global-variables-or-why-not-to-use-them-at-all

After looking for answer I found:

-WP_CACHE , but it is not persistent.

-I know I can store the token in the Database, but a Token in Database is not a use case I found elegant

-Tool such as Redis Object Cache for PHP but I found it to be really complicated , installing etc...

Is there any good practice or easy way of doing this? I only need to keep a string for an hour and access it within the plugin in PHP.

Thank you.

https://wordpress.stackexchange.com/questions/89263/how-to-set-and-use-global-variables-or-why-not-to-use-them-at-all

I want your suggestions to start a simple software developement. I'm an intern student and i want to build, preferably, something that can be acceced with a user authentication to a specific number of users < 5 so that each one of them can access the analysis of the data that concerns him. Preferably :

• I want my users to get to the app through the browser
• The users are those who will provide data to the app through an upload file button so this latter can output the whole analysis
• the app should have a professional look

I'm supposed to work with these four-five peapole to determine what they want to see so i can prepare all the analysis code that corresponds to the right feeded data. genrally the data will have csv excel format.

I've start working with R shiny then I built a single shiny app for control and mangement director that contains a dahsboard with analysis/viZ elements. Then i figured out that I cannot add the feature of multiple users and neither the authotication feature. then I've start learning django but i realized that it's quite harder to do it in a month. I searched for django-plotly-library but I always hesitate to work and learn until the end.

well, now i'm open to learn anything that can solve this issue. I've been hesitating for a month to choose the right technology. I appreciate your suggestions and remarks.

I have been working with React for the past two or so years, and with @media queries since the early 2000's. I have just been onboarded onto a new project where they are building React components in a fairly novel way, at least to my experience.

I'll place a snippet below to illustrate what I mean, but essentially they do not use .js and .css files as I usually do, but rather use .tsx and .ts files. They create a component in the .ts file and immediately apply the styling. It looks like this:

//.ts file

today I wrote a simple math game that I can practice mental math. My concerns is to make sure two number are always divisible. I have tried the while loop to add 1 until it divisible but it took too long:

Assuming there are many popups (like more than 30) in my page, and I need to make them listen to a click event handler. Below is Example 1 in the jQuery syntax: