IMO, ICPC, Xoogler, Rust, road-cycling, hiking, wild camping, photography
- no manual copy/pasting
- prevent stale data issues
- easy to frequently recompile, for better dev experience
:)
- no manual copy/pasting
- prevent stale data issues
- easy to frequently recompile, for better dev experience
:)
We haven't used it here, but tables directly from csv is something I'm personally super hyped about.
If you also have the plotting, and then `typst watch`, things can be as simple as `./run_evals > data.csv` and then the paper is directly updated
We haven't used it here, but tables directly from csv is something I'm personally super hyped about.
If you also have the plotting, and then `typst watch`, things can be as simple as `./run_evals > data.csv` and then the paper is directly updated
(also sorry I should have actually read the appendix more carefully -- just had more phone than pc time today)
(also sorry I should have actually read the appendix more carefully -- just had more phone than pc time today)
In that case you probably want the average eps_i instead of E_i[eps_i]?
I'm assuming this is all still in the infinitely long sequence limit? Or does it also hold for random finite sequences?
In that case you probably want the average eps_i instead of E_i[eps_i]?
I'm assuming this is all still in the infinitely long sequence limit? Or does it also hold for random finite sequences?
But ok I finally understood thm 1 now. I was confused by the E[eps], since eps is not defined, and assumed you somehow meant E[eps_i]=E[Z_i]-mu instead (which in hindsight doesn't make sense as eps_i already is an expectation itself)
But ok I finally understood thm 1 now. I was confused by the E[eps], since eps is not defined, and assumed you somehow meant E[eps_i]=E[Z_i]-mu instead (which in hindsight doesn't make sense as eps_i already is an expectation itself)
Density: expected fraction of sampled kmers.
Expected gap = average gap = len/#samples = 1/density?
One could also take a De Bruijn sequence of sufficient order, where clearly 1/density=avg gap?
Density: expected fraction of sampled kmers.
Expected gap = average gap = len/#samples = 1/density?
One could also take a De Bruijn sequence of sufficient order, where clearly 1/density=avg gap?
share.google/yMRotRTE1GQQ...
share.google/yMRotRTE1GQQ...