Continuing a random number sequence about igor HOT 4 CLOSED

-- Bob From: qmarcou <[email protected]> Reply-To: qmarcou/IGoR <[email protected]> Date: Saturday, August 25, 2018 at 12:03 PM To: qmarcou/IGoR <[email protected]> Cc: "Sinkovits, Robert" <[email protected]>, Mention <[email protected]> Subject: Re: [qmarcou/IGoR] Continuing a random number sequence (#16) Hi @sinkovit<https://github.com/sinkovit> , Sorry for the long time it took me to answer this one. I originally looked into making this possible, however it would require to change quite a few functions for generating functions. I have conducted a small experiment using IGoR's new random seed generator using the following piece of code in the custom code section of the main: else{ //Write your custom procedure here size_t n_seeds = 99999999; ofstream file ("/tmp/random_seeds.csv"); for(size_t i=0;i!=n_seeds;++i){ file<<draw_random_64bits_seed()<<endl; } } Importing the corresponding file with pandas in python and making a histogram out of it with 5000 bins I get the following figure: [seed_test]<https://user-images.githubusercontent.com/18257721/44621623-292a1b00-a877-11e8-9b4c-f7fe84b58eef.png> I think this shows that the seed generator is indeed uniformly random (1,84x10^19 is 2^64, the maximum value of a 64 bits integer) and getting the same seed twice is very unlikely. I have actually checked and all the 99999999 seeds were unique. Given this information I think this is a won't fix (at least not in the near future) Quentin — You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub<#16 (comment)>, or mute the thread<https://github.com/notifications/unsubscribe-auth/AE_YMPqRhPag33A9y1CwEkYFOM45GxFzks5uUZ-NgaJpZM4VH60r>.

-- Bob From: qmarcou <[email protected]> Reply-To: qmarcou/IGoR <[email protected]> Date: Thursday, September 6, 2018 at 9:54 AM To: qmarcou/IGoR <[email protected]> Cc: "Sinkovits, Robert" <[email protected]>, Mention <[email protected]> Subject: Re: [qmarcou/IGoR] Continuing a random number sequence (#16) Hi Bob, I have closed the issue but great to hear that you manage to produce so many reads! Out of curiosity: has this process taken a lot of computation time? Did you feel it was a bottleneck in your analysis? Do you think parallelizing random sequence generation is worth doing? It would most likely be limited by i/o time then. Best, — You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub<#16 (comment)>, or mute the thread<https://github.com/notifications/unsubscribe-auth/AE_YMGIdSNTN3fi1oXlfJ_0Lq9jIsaK6ks5uYVM_gaJpZM4VH60r>.