diff options
author | Florian Jung <flo@windfisch.org> | 2015-08-27 21:05:22 +0200 |
---|---|---|
committer | Florian Jung <flo@windfisch.org> | 2015-08-27 21:05:22 +0200 |
commit | ea4515d0516dc3f0bd20428f6d032714ca5ffdea (patch) | |
tree | 6119669b4827d078f9c1b8bf9d9a717a67178146 | |
parent | a973a8986191a7a492a18a8f52d33bce9b821292 (diff) |
reverse engineered zoom level
21 files changed, 2027 insertions, 2 deletions
diff --git a/reversing_game_mechanics/zoomlevel/README b/reversing_game_mechanics/zoomlevel/README new file mode 100644 index 0000000..72cd14d --- /dev/null +++ b/reversing_game_mechanics/zoomlevel/README @@ -0,0 +1,30 @@ +The goal is to find out the formula to calculate the appropriate zoom level, +or equivalent: to calculate the size of the world viewport depending on, well, +dunno. + +Data collected using bea9a124317, on 2015-08-25 *iirc*. (-> stats.pickle.xz) + +Data analyzed using a973a898619, with: + + python analyze.py stats.pickle > temp + +then manually, create win.{size,mass}.{1,2,3,4,5,6} by cutting the +analyze.py output into pieces (depending on number of cells). + +view with + + gnuplot win.{size,mass}.gnuplot + +the gray lines in win.size.gnuplot denote the filtering conditions of +filter_data.py + +Then merge and filter the data using + + cat win.size.[123456] | python filter_data.py > win.size.all.filtered + +win.size.gnuplot will automatically fit a "a * size**b" - like function. + +Result: visible diagonal = 369.399 * sum(sizes)**0.431776 + +Also, analyze.py tells us that the viewport ratio is 1.7 : 1 + diff --git a/reversing_game_mechanics/zoomlevel/filter_data.py b/reversing_game_mechanics/zoomlevel/filter_data.py new file mode 100644 index 0000000..e801d78 --- /dev/null +++ b/reversing_game_mechanics/zoomlevel/filter_data.py @@ -0,0 +1,10 @@ +import sys + +for line in sys.stdin: + line = line.split() + size, diag = int(line[0]), float(line[1]) + upper = size**0.4 * 460 + 50 + lower = size**0.407 * 460 - 400 + if lower < diag and diag < upper: + print(str(size) + "\t" + str(diag) + "\t\t" + line[2]) + diff --git a/reversing_game_mechanics/zoomlevel/fit.log b/reversing_game_mechanics/zoomlevel/fit.log new file mode 100644 index 0000000..10e4639 --- /dev/null +++ b/reversing_game_mechanics/zoomlevel/fit.log @@ -0,0 +1,46 @@ + + +******************************************************************************* +Thu Aug 27 21:04:27 2015 + + +FIT: data read from "win.size.all.filtered" using 1:2 + format = x:z + #datapoints = 227 + residuals are weighted equally (unit weight) + +function used for fitting: f(x) +fitted parameters initialized with current variable values + + + + Iteration 0 + WSSR : 1.99006e+09 delta(WSSR)/WSSR : 0 + delta(WSSR) : 0 limit for stopping : 1e-05 + lambda : 543.709 + +initial set of free parameter values + +a = 1 +b = 1 + +After 187 iterations the fit converged. +final sum of squares of residuals : 316175 +rel. change during last iteration : -9.20903e-11 + +degrees of freedom (FIT_NDF) : 225 +rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 37.4863 +variance of residuals (reduced chisquare) = WSSR/ndf : 1405.22 + +Final set of parameters Asymptotic Standard Error +======================= ========================== + +a = 369.399 +/- 4.401 (1.191%) +b = 0.431776 +/- 0.002383 (0.5519%) + + +correlation matrix of the fit parameters: + + a b +a 1.000 +b -0.998 1.000 diff --git a/reversing_game_mechanics/zoomlevel/stats.pickle.xz b/reversing_game_mechanics/zoomlevel/stats.pickle.xz Binary files differnew file mode 100644 index 0000000..c915674 --- /dev/null +++ b/reversing_game_mechanics/zoomlevel/stats.pickle.xz diff --git a/reversing_game_mechanics/zoomlevel/win.mass.1 b/reversing_game_mechanics/zoomlevel/win.mass.1 new file mode 100644 index 0000000..1bac0fb --- /dev/null +++ b/reversing_game_mechanics/zoomlevel/win.mass.1 @@ -0,0 +1,116 @@ +0.0 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2832.8236796525125 40 +219.29999999999998 2666.3600657075553 5 +220.82999999999998 2658.3432810681165 14 +222.27999999999997 2840.7354681490497 2 +223.74999999999997 2840.7354681490497 9 +225.17999999999998 2840.7354681490497 2 +226.63 2840.7354681490497 4 +228.1 2840.7354681490497 63 +264.42 9773.704773523703 1 +264.52 3771.882951524344 154 +265.45 3702.6188029555515 4 +266.39 3661.2525179233403 51 +267.3 3601.816902620121 2 +269.17 3550.685708423093 49 diff --git a/reversing_game_mechanics/zoomlevel/win.mass.5 b/reversing_game_mechanics/zoomlevel/win.mass.5 new file mode 100644 index 0000000..f4b686e --- /dev/null +++ b/reversing_game_mechanics/zoomlevel/win.mass.5 @@ -0,0 +1,8 @@ +126.83 9346.260482139367 1 +129.32999999999998 3926.380139517823 7 +130.22 3995.193362028927 19 +130.98 7269.414075425887 1 +131.06 2999.2432378851836 13 +131.23000000000002 3979.0382003695313 11 +133.33999999999997 3046.871510254412 16 +134.51 3030.115674359644 1 diff --git a/reversing_game_mechanics/zoomlevel/win.mass.6 b/reversing_game_mechanics/zoomlevel/win.mass.6 new file mode 100644 index 0000000..7994d85 --- /dev/null +++ b/reversing_game_mechanics/zoomlevel/win.mass.6 @@ -0,0 +1,4 @@ +126.83 9346.260482139367 1 +127.14 3564.1046561513876 2 +128.13 3713.46266980025 16 +129.01999999999998 3981.4374288691265 52 diff --git a/reversing_game_mechanics/zoomlevel/win.mass.gnuplot b/reversing_game_mechanics/zoomlevel/win.mass.gnuplot new file mode 100644 index 0000000..a948115 --- /dev/null +++ b/reversing_game_mechanics/zoomlevel/win.mass.gnuplot @@ -0,0 +1,9 @@ +min(a,b)=(a<b)?a:b +max(a,b)=(a>b)?a:b +plot "win.mass.1" using 1:2:(min(1,$3/100)) lt rgb "red" pt 2 ps variable, \ + "win.mass.2" using 1:2:(min(1,$3/100)) lt rgb "blue" pt 2 ps variable, \ + "win.mass.3" using 1:2:(min(1,$3/100)) lt rgb "green" pt 2 ps variable, \ + "win.mass.4" using 1:2:(1) lt rgb "purple" pt 2 ps variable, \ + "win.mass.5" using 1:2:(1) lt rgb "cyan" pt 2 ps variable, \ + "win.mass.6" using 1:2:(1) lt rgb "orange" pt 2 ps variable +pause -1 diff --git a/reversing_game_mechanics/zoomlevel/win.size.1 b/reversing_game_mechanics/zoomlevel/win.size.1 new file mode 100644 index 0000000..8357f6a --- /dev/null +++ b/reversing_game_mechanics/zoomlevel/win.size.1 @@ -0,0 +1,116 @@ +0 9957.478596512272 16 +49 2120.5192760265113 245 +50 1969.829688069504 88 +51 1907.5106814904077 196 +52 1652.2645066695586 49 +53 1860.7818249327352 96 +54 1851.8933554608375 58 +55 1468.638825579659 70 +56 2251.943604977709 106 +57 2004.575765592311 166 +58 2109.127781809343 362 +59 2126.4564420650613 137 +60 1994.1740144731602 91 +61 2173.5730951592127 58 +62 1940.5630626186824 52 +63 2232.8013794334684 39 +64 2133.3471353720192 71 +65 2239.5713875650404 100 +66 2259.5827048373335 868 +67 2240.224319125208 818 +68 2307.553032976707 443 +69 2226.5634956138124 579 +70 2356.425258734085 336 +71 2293.2538019155227 397 +72 2249.2098612623945 273 +73 2331.4519081465096 451 +74 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"win.size.all.filtered" using 1:2 via a,b + +plot "win.size.1" using 1:2:(min(1,$3/100)) lt rgb "red" pt 2 ps variable, \ + "win.size.2" using 1:2:(min(1,$3/100)) lt rgb "blue" pt 2 ps variable, \ + "win.size.3" using 1:2:(min(1,$3/100)) lt rgb "green" pt 2 ps variable, \ + "win.size.4" using 1:2:(1) lt rgb "purple" pt 2 ps variable, \ + "win.size.5" using 1:2:(1) lt rgb "cyan" pt 2 ps variable, \ + "win.size.6" using 1:2:(1) lt rgb "orange" pt 2 ps variable, \ + x**0.4*460+50 lt rgb "gray", \ + x**0.407*460-400 lt rgb "gray", \ + f(x) lt rgb "black" +pause -1 @@ -190,12 +190,12 @@ class Stats: maxwidth = quantile(sorted(map(lambda x:x[0], rects)), 0.75) maxheight = quantile(sorted(map(lambda x:x[1], rects)), 0.75) - if (math.sqrt(maxwidth**2+maxheight**2) < 4000): + if math.sqrt(maxwidth**2+maxheight**2) < 4000: # TODO FIXME svw[size] = (maxwidth,maxheight) ratios += [maxwidth/maxheight] - if verbose: print(str(size)+"\t"+str(math.sqrt(maxwidth**2+maxheight**2))) + if verbose: print(str(size)+"\t"+str(math.sqrt(maxwidth**2+maxheight**2))+"\t\t"+str(len(rects))) print ("median ratio = "+str(quantile(sorted(ratios),0.5))) |