flow | Simple Flow-based Machine Learning with Tensorflow | Machine Learning library

I have the following two interfaces, one which allows a nullable vin, the other that doesn't:

I am querying a database for an item using R2DBC and Spring Integration. I want to extend the transaction boundary a bit to include a handler - if the handler fails I want to roll back the database operation. But I'm having difficulty even establishing transactionality explicitly in my integration flow. The flow is defined as

I'm working on a Chrome extension that integrates with a website. My users can do actions on this website when they are logged in to it.

I have a Socket.IO server that delivers commands to my Chrome extension. Once a command arrived, the extension invokes a local function from the host website. Then, the host website, which has an authenticated active session with its own API, will invoke some update/insert call.

I recently realized a potential security issue, which is - if anyone spoofs my server address on my extension clients organization, he can easily abuse it to send his own parameters on behalf of my server (image 2).

Is there any smart way to ensure my client communicates with the real server and not an imposter?

Hey just doing some exercises in c, one is saying to replace tabs in the input string with any other characters , i restrict myself to only using getchar(), no gets() fgets() etc..., as my learning book didn't catch it yet, so i tried to not break the flow, the code below just printf() the same line it receives, can you please examine why ?

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've got a grid layout and I'm using resize: horizontal on one. It lets me resize the box but it doesn't resize the other columns as I would expect it to.

I'd like to use Material icons in a Vaadin 14.6 application. I found recipes for Lumo and Iron icons here (the default), but did not discover how to integrate Material icons. How can that be accomplished?

NB: This component seems to be not usable for Vaadin 14.x

I am trying to lambda Java8 lambda expressions, Wherein I came across this example. I am unable to understand the program flow,

The the below example when the factorialTailRec(1, 5).invoke() statement is called the program flow is as shown below:

1. The program first goes to the factorialTailRec method and once and checks if the number value is equal to 1. In the first iteration, it's not so it goes to the else part.

2. In the else block the flow is redirected towards the call method inside the TailCall class which will return the same object.

3. Now the invoke method is called and then the Stream object tries to iterate through the result. I am not getting how the factorialTailRec is called again? They say its because of the below statement,

   ...

Starting with the sample from https://docs.gradle.org/current/samples/sample_jvm_multi_project_with_code_coverage.html (i.e., the code here https://github.com/gradle/gradle/tree/master/subprojects/docs/src/samples/java/jvm-multi-project-with-code-coverage ) and simply adding Spring Boot by changing application/build.gradle to