asn-d6/aquashuffle-simulation

Simulate shuffling strategies for Whisk

aquashuffle-simulation's Issues

Results dump

Dumping results after running each simulation for 1000 repetitions (it takes quite a bit of time). Each line below is a separate simulation, with the first one starting at 1% corruption threshold and the last one having 49% corruption threshold. The last number in each line is the round number where the cup was completely hidden:

Simulation parameters: [16384 128] [0.01 0.00024660669191919194]: 1892
Simulation parameters: [16384 128] [0.02 0.0002491230867346939]: 1942
Simulation parameters: [16384 128] [0.03 0.00025169136597938147]: 1950
Simulation parameters: [16384 128] [0.04 0.0002543131510416667]: 1678
Simulation parameters: [16384 128] [0.05 0.00025699013157894735]: 1641
Simulation parameters: [16384 128] [0.06 0.00025972406914893617]: 1938
Simulation parameters: [16384 128] [0.07 0.00026251680107526886]: 1790
Simulation parameters: [16384 128] [0.08 0.0002653702445652174]: 1872
Simulation parameters: [16384 128] [0.09 0.00026828640109890107]: 1818
Simulation parameters: [16384 128] [0.1 0.0002712673611111111]: 1587
Simulation parameters: [16384 128] [0.11 0.00027431530898876406]: 2026
Simulation parameters: [16384 128] [0.12 0.00027743252840909093]: 1865
Simulation parameters: [16384 128] [0.13 0.000280621408045977]: 1788
Simulation parameters: [16384 128] [0.14 0.0002838844476744186]: 1987
Simulation parameters: [16384 128] [0.15 0.00028722426470588236]: 1807
Simulation parameters: [16384 128] [0.16 0.0002906436011904762]: 1957
Simulation parameters: [16384 128] [0.17 0.00029414533132530123]: 1669
Simulation parameters: [16384 128] [0.18 0.0002977324695121951]: 1863
Simulation parameters: [16384 128] [0.19 0.00030140817901234566]: 1895
Simulation parameters: [16384 128] [0.2 0.00030517578125]: 1853
Simulation parameters: [16384 128] [0.21 0.0003090387658227848]: 2048
Simulation parameters: [16384 128] [0.22 0.00031300080128205125]: 1831
Simulation parameters: [16384 128] [0.23 0.00031706574675324675]: 2046
Simulation parameters: [16384 128] [0.24 0.00032123766447368423]: 2073
Simulation parameters: [16384 128] [0.25 0.0003255208333333333]: 1921
Simulation parameters: [16384 128] [0.26 0.0003299197635135135]: 1866
Simulation parameters: [16384 128] [0.27 0.0003344392123287671]: 2028
Simulation parameters: [16384 128] [0.28 0.0003390842013888889]: 1999
Simulation parameters: [16384 128] [0.29 0.00034386003521126764]: 2013
Simulation parameters: [16384 128] [0.3 0.00034877232142857144]: 2031
Simulation parameters: [16384 128] [0.31 0.00035382699275362324]: 2095
Simulation parameters: [16384 128] [0.32 0.00035903033088235297]: 2091
Simulation parameters: [16384 128] [0.33 0.00036438899253731345]: 2096
Simulation parameters: [16384 128] [0.34 0.00036991003787878793]: 1852
Simulation parameters: [16384 128] [0.35 0.0003756009615384615]: 2015
Simulation parameters: [16384 128] [0.36 0.0003814697265625]: 2128
Simulation parameters: [16384 128] [0.37 0.00038752480158730157]: 2049
Simulation parameters: [16384 128] [0.38 0.00039377520161290326]: 2324
Simulation parameters: [16384 128] [0.39 0.00040023053278688526]: 2412
Simulation parameters: [16384 128] [0.4 0.0004069010416666667]: 2464
Simulation parameters: [16384 128] [0.41 0.00041379766949152535]: 2171
Simulation parameters: [16384 128] [0.42 0.0004209321120689655]: 1777
Simulation parameters: [16384 128] [0.43 0.00042831688596491226]: 1944
Simulation parameters: [16384 128] [0.44 0.00043596540178571425]: 2373
Simulation parameters: [16384 128] [0.45 0.00044389204545454544]: 2226
Simulation parameters: [16384 128] [0.46 0.00045211226851851847]: 2012
Simulation parameters: [16384 128] [0.47 0.00046064268867924523]: 2297
Simulation parameters: [16384 128] [0.48 0.0004695012019230769]: 1895
Simulation parameters: [16384 128] [0.49 0.00047870710784313723]: 2050