## security – Wasn't the purpose of reCAPTCHA to distinguish humans from robots? reCAPTCHA has stopped showing a challenge and is blocking you squarely

This is what i get now instead of a "challenge" to solve:

Your computer or network can send automated requests. To protect our users, we cannot process your request at this time.

What do they mean by "maybe send automated queries"? That's it point so that reCAPTCHA exists and is used by any webmaster: to differentiate these requests from human requests! By giving a challenge that only a human can solve. But they don't even show such a puzzle / challenge anymore. So there is no point in having the thing there in the first place; just block any request by default, which is actually the case today.

Incredibly silly. It really has literally become impossible to do anything more online. Nothing allows you to register anywhere. Nothing works.

## finite automata – NDFA has maximum states of 2 ^ n similarly for qubits in quantum computation. How to distinguish them in terms of calculation?

I am a computer engineer. I have studied the basics of quantum computing. When dealing with multiple states, I think NDFA does similar to quantum computing but we preferred to convert NDFA to DFA and resolve the issues. But in the Quantum era, we prefer this multistate quantum property to address the major problems of NP. Why? Where they both look alike and where they differ in terms of calculation

## set theory – Is there a term that refers to a "set of sets" in math to distinguish an ordinary mathematical object?

In mathematics, a set is a well-defined collection of distinct objects, considered an object in its own right.

for example

A = {2, 1, 3}
B = {blue, white, red}
C = {3, 5, 6}
D = {A, C}


all the above is a set, A, B, C are normal sets and D is a set. Is there a term referring to this type of set (D), in order to distinguish a set of other sets (such as A, B, C)?

## procedural programming – Distinguish nested loops if and for

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## Web Crawlers – How to distinguish users from robots so that they use server-side rendering with all robots?

How can I reliably distinguish users from robots?

We have an ecommerce store that sometimes experiences significant traffic spikes. We would like to move all / part of the load during these peaks to client-side rendering (CSR), while allowing robots to continue to crawl our site with server-side rendering (SSR) enabled only for them.

PS: the content is exactly the same for SSR and CSR.

This is the basis of our situation: Operate Node.js for server-side rendering – Airbnb Engineering & Data Science – Medium

## Design templates – Is it lazy or inconvenient to not distinguish the use cases from password reset in the user interface?

I was recently asked to reset a password due to the fact that the security requirements for the website had been upgraded and that users were asked to change their password (for those who do not have a password). do not meet current standards).

Although the user interface simply asks you to provide an email address (to verify that it is an active account) with an incentive to change the password, when the link from the email is sent In my inbox, it came in the form: a "Forgotten Email" page with the same flow as if you clicked "Forgotten Email?" link usually seen on the login page.

Is it just more convenient to use exactly the same process, or is it just a lazy design or development to not make that distinction because this clearly has an effect on the user experience? Is this a common practice and if so why?

## pr.probability – Distinguish the probability models from urn

I have a question about the urn model. Suppose I have an urn:

Model A: Either the urn has 100 balls in it of which 70 are black and 30 are white.

Model B: Or the urn has 100 balls in it which are indeterminate in color. When removed, they turn black with probability 0.7 and white with probability 0.3.


I am only allowed to take balls in the ballot box, one at a time, and I must replace each ball after noting the color.

Is there a statistical test that I could perform that would allow me to determine what type of urn it is?

Is it also true that I could replace the models by:

Model C: The urn has 1 ball in it which is indeterminate in color. When removed, it turns black with probability 0.7 and white with probability 0.3.

Model D: The urn has 10 balls in it of which 7 are black and 3 are white.


Does this mean that there are an infinite number of different models that could not be distinguished by statistical sampling?

## Does SharePoint User Profile Service distinguish blocked users?

I've added an external application to display a flowchart in our modern SharePoint page. The application now reads information from users and their managers from the Sharepoint user profile service. when I first load the organizational chart, I find that some outgoing are visible, which we do not wish, and I apply the following filtering in the external application Org chart: –

SPS-HideFromAddressLists == "No" || SPS-HideFromAddressLists ==
"False"

and many leavers will no longer show what's great. but we still have some users who are stuck, as follows: –

but still shown inside the organization chart. so my question is what property inside the sharepoint user profile service indicates if the user is blocked or not? I can therefore add additional filtering to the application of the flowchart to exclude blocked users.

## elasticsearch – How to add custom fields / tags when I use modules in filebeat to distinguish the origins of log records?

I'm using the latest version of ELK Stack and Filebeat is installed on different servers. I use different filebeat modules to send the logs. Considering that each module manages a path configuration of access to log files. How can I create based on the type of log or log source I want to add or custom fields or tags as metadata to filter with kibana?

In the case of access to the application server in glassfish, it has created an entry that includes the configuration: path, fields, /etc/filebeat/filebeat.yml tags and this works. I understand that when activating modules, it is not necessary to include the log path in the filebeat.yml entries

But if I'm using a different module (system, mysql, postgres, apache, nginx, etc.) to send records to logstash using filebeat: how do i insert custom fields or tags in the same way as in filebeat.yml configure? Entries in the path of the records? Because each module maintains its own default configuration, it indicates that it even indicates the path of the log files.
For that, I need to conditionally detect the registry (apache, system, mysql, access.log, error.log, ip / hostname, application) which I access to insert custom fields that I can use to filter later in kibana.