So, we got a palindrome sequence today fellas.

What are your point of view on this?😂😂

Look, what I just found a perfect paper cup for all of us here. ☕

Hmm. So have you ever argued in a job interview? Like really standing your ground? In a technical interview?

Today I had a live coding session with a company I'm interested in. The developer was giving me tasks to evolve the feature on and on.

Everything was TDD. Splendid!

However at one point I had to test if the outcome of the method call is random. What I did is basically:
```
Provider<String> provider = new SomeProvider("aaa", "bbb", "ccc", "ddd", "eee", "fff")

for(int i=0; i<100; i++) {
String str = provider.get();
map.put(str, incrementCount(str));
}
Set<Integer> occurences = new HashSet(map.values());
occurences.removeIf(o -> o.equals(occurences.get(0)));
assertFalse(occurences.empty());
```
and I called it good enough, since I cannot verify true randomness.
But the dev argued that this is not enough and I must verify whether the output is truly random or not, and the output (considering the provider only has a finite set of values to return) occurences are almost equal (i.e. the deviation from median is the median itself).

I argued this is not possible and it beats the core principle of randomness -- non-determinism. Since if you can reliably test whether the sequence is truly random you must have an algorithm which determines what value can or cannot be next in the sequence. Which means determinism. And that the (P)RNG is then flawed. The best you can do is to test whether randomness is "good enough" for your use case.

We were arguing and he eventually said "alright, let's call it a good enough solution, since we're short on time".

I wonder whether this will have adverse effect my evaluation . So have you ever argued with your interviewer? Did it turn out to the better or to the worse?

But more importantly, was I right? :D

Used goto once: accidental prng.

I am looking for new programming language to learn and I found D language. It looks interesting but I think that community is weak and there is lack of some usefull libraries.
For example I can not find secure PRNG.

So my questions are:
> Have you any experience with this language?

> It is worth to learn?

Anime lovers here, if yes than which are the anime's you watched till date?

I know it's a bit late from the official launch of iOS 11, but finally I get to have my hands on this. So, let's jump in and explore what's new.

Let's say I take a matrix of high entropy random numbers (call it matrix J), and encode a problem into those numbers (represented as some integers which in turn represent some operations and data).

And then I generate *another* high entropy random number matrix (call it matrix K). As I do this I measure the Pearson's correlation coefficient between J (before encoding the problem into it, call Jb), and K, and the correlation between J (after encoding, let's call it Ja) and K.

I stop at some predetermined satisfactory correlation level, let's say > 0.5 or < -0.5

I do this till Ja is highly correlated with some sample of K, and Jb's correlation with K is close to 0.

Would the random numbers in K then represent, in some way, the data/problem encoded in Ja? Or is it merely a correlation?

Keep in mind K has no direct connection to J, Ja, or Jb, we're only looking for a matrix of high entropy random numbers that indicated a correlation to J and its data.

I say "high entropy", it would be trivial to generate random numbers with a PRNG that are highly correlated simply by virtue of the algorithm that generated them.