unu | A module for unu in Python | Download Utils library

The synthesizer does not care about the testbench, it tries to create a piece of hardware that would be equivalent to your loop and would work for any possible input. And in order to do this it somehow tries all possibilities (32). Unfortunately it is apparently not smart enough to detect that this loop always terminates in at most 3 iterations (not sure of this "3", I may be wrong).

Generally speaking, for synthesis, it is better to use loops with caution (static bounds of for loops, static condition of while loops). In this case it is difficult to say if you are beyond Vivado's capabilities or not. If the documentation says that non-static conditions of while loops are supported for synthesis you can open a service request, you found a bug.

Anyway, it would be better to describe this differently. Try maybe to fix the number of iterations (after verifying by simulation or plain reasoning that 3 is enough, of course, I am just guessing):

I don't find the inverse Gaussian distribution in Boost.Random.

You can use the so-called inverse transform sampling technique. That is, you take the inverse cdf (i.e. the quantile function) of the inverse Gaussian distribution, and you apply it to a sample of uniformly random numbers in (0,1).

Something like that:

Your span isn't responding to overflow-x: hidden because there is nothing overflowing it, since it doesn't have any child element. In fact, the body is being overflowed by the span.

Therefore, you can add overflow-x: hidden to body, or if you don't want the circle exceeds your header in the Y axis (principally in smaller screens), add overflow: hidden to the header.

arbitrary = elements [Invalid, Unar []] means "when I run arbitrary on this type, always give me Invalid or Unar []". A proper Arbitrary instance looks like this:

You can use DataFrameGroupBy.nunique and compare for not equal 1 by DataFrame.ne:

The following line is missing a closing parenthesis.

If I understand it right, you want to construct the value of t2.channel_uid by concatenating the prefix UNU and the value of t1.customer_id column. If that's the case, the following should work: