Understanding the reported error estimates

[fuglede]

Hi! First of all thanks for sharing the code from the papers; having that available is great!

I have a question about how to interpret the table of error estimates in the derandomization paper:

Here, what does "1000 measurements" mean, in the context of the code in this repository? The Python module has

    for repetition in range(num_of_measurements_per_observable * len(all_observables)):

so is it as simple as saying that one could instead do for repetition in range(1000) and see where that gets you?

Thanks!