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Itaicaspi/episode reset refactoring (#105)

Browse Source 
* reordering of the episode reset operation and allowing to store episodes only when they are terminated

* reordering of the episode reset operation and allowing to store episodes only when they are terminated

* revert tensorflow-gpu to 1.9.0 + bug fix in should_train()

* tests readme file and refactoring of policy optimization agent train function

* Update README.md

* Update README.md

* additional policy optimization train function simplifications

* Updated the traces after the reordering of the environment reset

* docker and jenkins files

* updated the traces to the ones from within the docker container

* updated traces and added control suite to the docker

* updated jenkins file with the intel proxy + updated doom basic a3c test params

* updated line breaks in jenkins file

* added a missing line break in jenkins file

* refining trace tests ignored presets + adding a configurable beta entropy value

* switch the order of trace and golden tests in jenkins + fix golden tests processes not killed issue

* updated benchmarks for dueling ddqn breakout and pong

* allowing dynamic updates to the loss weights + bug fix in episode.update_returns

* remove docker and jenkins file
This commit is contained in:
Itai Caspi
2018-09-04 15:07:54 +03:00
committed by GitHub
parent 7086492127
commit 72a1d9d426
92 changed files with 9803 additions and 9740 deletions
Download Patch File Download Diff File Expand all files Collapse all files

496
rl_coach/traces/BitFlip_DQN_HER/trace.csv
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@@ -51,251 +51,251 @@ Episode #,Training Iter,In Heatup,ER #Transitions,ER #Episodes,Episode Length,To
50,0.0,1.0,2000.0,50.0,20.0,1000.0,0.2,,,0.0,,,,,,,,,,,,,,,,,,,
51,0.0,1.0,2040.0,51.0,20.0,1020.0,0.2,,,0.0,,,,,,,,,,,,,,,,,,,
52,0.0,1.0,2080.0,52.0,20.0,1040.0,0.2,,,1.0,,,,,,,,,,,,,,,,,,,
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55,40.0,0.0,2200.0,55.0,20.0,1100.0,0.2,-20.0,-20.0,0.0,,,,,,,,,,,,,,,,-0.19076329999999997,0.3202771,0.6238244000000001,-1.152728
56,40.0,0.0,2240.0,56.0,20.0,1120.0,0.2,-20.0,-20.0,0.0,,,,,,,,,,,,,,,,-2.5239588e-05,0.36916617,0.6914792,-0.7380701
57,40.0,0.0,2280.0,57.0,20.0,1140.0,0.2,-20.0,-20.0,0.0,,,,,,,,,,,,,,,,0.0046277307,0.39729434,0.65165925,-1.2755831
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85,120.0,0.0,3400.0,85.0,20.0,1700.0,0.2,-20.0,-20.0,0.0,,,,0.5876654066611081,0.2792357515284997,1.0222908630967142,0.05579056963324547,0.001,0.0,0.001,0.001,0.17089364,0.035492178,0.2872097,0.12092903,-0.27852684,0.26981717,0.25690678,-1.0660025
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287,600.0,0.0,11480.0,287.0,20.0,5740.0,0.2,-20.0,-20.0,0.0,,,,,,,,,,,,,,,,-0.6819453000000001,0.22363609999999998,0.017241238,-1.2299247
288,600.0,0.0,11520.0,288.0,20.0,5760.0,0.2,-20.0,-20.0,0.0,,,,,,,,,,,,,,,,-0.68877167,0.18245281,-0.13227156,-1.2505034
289,600.0,0.0,11560.0,289.0,20.0,5780.0,0.2,-20.0,-20.0,0.0,,,,,,,,,,,,,,,,-0.7834302,0.21465753,-0.11543636,-1.197147
290,600.0,0.0,11600.0,290.0,20.0,5800.0,0.2,-20.0,-20.0,0.0,,,,,,,,,,,,,,,,-0.62125397,0.20603417,-0.16907234,-1.1952456
291,600.0,0.0,11640.0,291.0,20.0,5820.0,0.2,-20.0,-20.0,0.0,,,,,,,,,,,,,,,,-0.8615514999999999,0.18068987,-0.30423868,-1.171892
292,600.0,0.0,11680.0,292.0,20.0,5840.0,0.2,-20.0,-20.0,1.0,,,,,,,,,,,,,,,,-0.83930314,0.19847369,-0.39937222,-1.2624415
293,640.0,0.0,11720.0,293.0,20.0,5860.0,0.2,-20.0,-20.0,0.0,,,,,,,,,,,,,,,,-0.7908970999999999,0.16893475,-0.45200107,-1.2746252
294,640.0,0.0,11760.0,294.0,20.0,5880.0,0.2,-20.0,-20.0,0.0,,,,,,,,,,,,,,,,-0.7142438,0.20058781,-0.3033406,-1.0969213
295,640.0,0.0,11800.0,295.0,20.0,5900.0,0.2,-20.0,-20.0,0.0,,,,,,,,,,,,,,,,-0.90066755,0.1627227,-0.51608115,-1.3800131000000002
296,640.0,0.0,11840.0,296.0,20.0,5920.0,0.2,-20.0,-20.0,0.0,,,,,,,,,,,,,,,,-0.7847122,0.20186444,-0.39519387,-1.2847742
297,640.0,0.0,11880.0,297.0,20.0,5940.0,0.2,-20.0,-20.0,0.0,,,,,,,,,,,,,,,,-0.9070133,0.20608515,-0.41688353,-1.3033309
298,640.0,0.0,11920.0,298.0,20.0,5960.0,0.2,-20.0,-20.0,0.0,,,,,,,,,,,,,,,,-0.84285516,0.20729195,-0.43755195,-1.4192684
299,640.0,0.0,11960.0,299.0,20.0,5980.0,0.2,-20.0,-20.0,0.0,,,,,,,,,,,,,,,,-0.90571964,0.19312486,-0.30916107,-1.3542341999999998
300,640.0,0.0,12000.0,300.0,20.0,6000.0,0.2,-20.0,-20.0,0.0,,,,,,,,,,,,,,,,-0.76343495,0.169818,-0.317744,-1.1455834999999999
1 Episode # Training Iter In Heatup ER #Transitions ER #Episodes Episode Length Total steps Epsilon Shaped Training Reward Training Reward Update Target Network Evaluation Reward Shaped Evaluation Reward Success Rate Loss/Mean Loss/Stdev Loss/Max Loss/Min Learning Rate/Mean Learning Rate/Stdev Learning Rate/Max Learning Rate/Min Grads (unclipped)/Mean Grads (unclipped)/Stdev Grads (unclipped)/Max Grads (unclipped)/Min Q/Mean Q/Stdev Q/Max Q/Min
51 50 0.0 1.0 2000.0 50.0 20.0 1000.0 0.2 0.0
52 51 0.0 1.0 2040.0 51.0 20.0 1020.0 0.2 0.0
53 52 0.0 1.0 2080.0 52.0 20.0 1040.0 0.2 1.0
54 53 40.0 0.0 2120.0 53.0 20.0 1060.0 0.2 -20.0 -20.0 0.0 1.788420666474849 1.935290295863524 0.7972170797329968 0.8058564652800738 2.9240810871124268 3.007466940209269 0.1380782425403595 0.17490924894809726 0.001 0.0 0.001 0.001 0.29834499999999997 0.29491648 0.06979961 0.08275479 0.4631425 0.50877964 0.19640005 0.18244520000000003 -0.027280122 -0.15606245 0.30985892 0.29113314 0.9650016 0.7442344 -0.5819611 -0.78076607
55 54 40.0 0.0 2160.0 54.0 20.0 1080.0 0.2 -20.0 -20.0 0.0 0.0018523656 -0.00022037476000000001 0.34621024 0.36079693 0.6556698000000001 0.72703606 -1.1577358 -0.9773514000000001
56 55 40.0 0.0 2200.0 55.0 20.0 1100.0 0.2 -20.0 -20.0 0.0 -0.19076329999999997 -0.1349183 0.3202771 0.29356495 0.6238244000000001 0.48903933 -1.152728 -0.89955586
57 56 40.0 0.0 2240.0 56.0 20.0 1120.0 0.2 -20.0 -20.0 0.0 -2.5239588e-05 -0.17827901 0.36916617 0.32569715 0.6914792 0.62728965 -0.7380701 -0.8500334999999999
58 57 40.0 0.0 2280.0 57.0 20.0 1140.0 0.2 -20.0 -20.0 0.0 0.0046277307 -0.1536325 0.39729434 0.32235706 0.65165925 0.600916 -1.2755831 -0.92957824
59 58 40.0 0.0 2320.0 58.0 20.0 1160.0 0.2 -20.0 -20.0 0.0 -0.04246077 -0.010391878 0.30918905 0.34889618 0.55210376 0.8083137 -0.8282746999999999 -0.72221345
60 59 40.0 0.0 2360.0 59.0 20.0 1180.0 0.2 -20.0 -20.0 0.0 0.060113599999999996 -0.039150935 0.31274283 0.2522335 0.68093306 0.67386687 -0.872611 -0.6577685000000001
61 60 40.0 0.0 2400.0 60.0 20.0 1200.0 0.2 -20.0 -20.0 0.0 -0.15145995 -0.21720675 0.29581758 0.30421236 0.49526224 0.45968159999999997 -0.79985994 -0.8495033000000001
62 61 40.0 0.0 2440.0 61.0 20.0 1220.0 0.2 -20.0 -20.0 0.0 -0.05906398 -0.16418125 0.29519132 0.28751376 0.6302298000000001 0.55905277 -0.80720586 -0.7366
63 62 40.0 0.0 2480.0 62.0 20.0 1240.0 0.2 -20.0 -20.0 0.0 -0.17021975 -0.044146627 0.35816386 0.22052966 0.5113697 0.47842982 -1.0094104 -0.7635955
64 63 40.0 0.0 2520.0 63.0 20.0 1260.0 0.2 -20.0 -20.0 0.0 -0.03623712 -0.20465988 0.33113202 0.42802855 0.71365905 0.6666261 -0.9826038 -1.2050378000000002
65 64 40.0 0.0 2560.0 64.0 20.0 1280.0 0.2 -20.0 -20.0 0.0 0.19010428 -0.08071092 0.24447425 0.28199270000000004 0.8400516 0.70527226 -0.4282565 -0.7737881
66 65 40.0 0.0 2600.0 65.0 20.0 1300.0 0.2 -20.0 -20.0 0.0 0.057244573 -0.089482255 0.32710525 0.2898929 0.8119531 0.6869963000000001 -0.89269185 -0.7498683
67 66 40.0 0.0 2640.0 66.0 20.0 1320.0 0.2 -20.0 -20.0 0.0 -0.09960799 -0.09918608 0.31285405 0.29694995 0.69911486 0.6056563 -0.89550585 -0.8906065999999999
68 67 40.0 0.0 2680.0 67.0 20.0 1340.0 0.2 -20.0 -20.0 0.0 -0.018068409 -0.2821947 0.27559885 0.32211515 0.6508881999999999 0.48322454 -0.70469683 -1.0721389
69 68 40.0 0.0 2720.0 68.0 20.0 1360.0 0.2 -20.0 -20.0 1.0 0.09550414 -0.052423935 0.41950125 0.28722593 1.4080051000000002 0.65972346 -0.8894211999999999 -0.89057475
70 69 80.0 0.0 2760.0 69.0 20.0 1380.0 0.2 -20.0 -20.0 0.0 0.9018063151277602 0.4256766753436747 1.5111561510711908 0.057841483503580086 0.001 0.0 0.001 0.001 0.21212378 0.049294937000000004 0.3657012 0.14614235 -0.20556319 -0.31112498 0.30530235 0.29383194 0.63784057 0.51011306 -0.90710056 -1.2187166
71 70 80.0 0.0 2800.0 70.0 20.0 1400.0 0.2 -20.0 -20.0 0.0 -0.26695073 -0.14119092 0.25176746 0.316644 0.21366936 0.8430397 -1.1165888000000002 -0.63211995
72 71 80.0 0.0 2840.0 71.0 20.0 1420.0 0.2 -20.0 -20.0 0.0 -0.22307144 -0.029913723 0.29149222 0.3619365 0.35789937 0.7905635 -1.0239194999999999 -0.7851388000000001
73 72 80.0 0.0 2880.0 72.0 20.0 1440.0 0.2 -20.0 -20.0 0.0 0.009615275 -0.096456 0.3215864 0.26656073 0.5753535 0.4861323 -0.7451099 -0.67908305
74 73 80.0 0.0 2920.0 73.0 20.0 1460.0 0.2 -20.0 -20.0 0.0 -0.0074912487 -0.07820151 0.26623204 0.22923326 0.6766909999999999 0.38937262 -0.6668933000000001 -0.6350876999999999
75 74 80.0 0.0 2960.0 74.0 20.0 1480.0 0.2 -20.0 -20.0 0.0 -0.020324273 -0.32192746 0.30452856 0.3351376 0.5617766 0.8751175999999999 -0.9901004000000001 -0.8921503000000001
76 75 80.0 0.0 3000.0 75.0 20.0 1500.0 0.2 -20.0 -20.0 0.0 -0.044239394 -0.1979595 0.26752117 0.34114537 0.57358885 0.63989425 -0.6851203 -0.97712445
77 76 80.0 0.0 3040.0 76.0 20.0 1520.0 0.2 -20.0 -20.0 0.0 0.0027293174 -0.033829674 0.3048223 0.32406452 0.71185726 0.8999718000000001 -0.65991795 -0.75327796
78 77 80.0 0.0 3080.0 77.0 20.0 1540.0 0.2 -20.0 -20.0 0.0 -0.26575970000000004 -0.19012305 0.29407457 0.24059671 0.29723728 0.38181484 -0.9352184000000001 -0.6502103
79 78 80.0 0.0 3120.0 78.0 20.0 1560.0 0.2 -20.0 -20.0 0.0 -0.22701415 -0.25644737 0.32781553 0.32117355 0.7873710999999999 0.35863882 -0.86963516 -1.1479175
80 79 80.0 0.0 3160.0 79.0 20.0 1580.0 0.2 -20.0 -20.0 0.0 -0.11690383 -0.13624513 0.22224845 0.28013718 0.61785096 0.63141364 -0.77745724 -0.84751236
81 80 80.0 0.0 3200.0 80.0 20.0 1600.0 0.2 -20.0 -20.0 0.0 -0.05447011400000001 -0.27685937 0.22617894 0.34252587 0.7592886 0.41274166 -0.5115782999999999 -1.0059279
82 81 80.0 0.0 3240.0 81.0 20.0 1620.0 0.2 -20.0 -20.0 0.0 -0.07382544 -0.17521478 0.32898632 0.25330990000000003 0.47714493 0.46296117 -0.90407383 -0.82364786
83 82 80.0 0.0 3280.0 82.0 20.0 1640.0 0.2 -20.0 -20.0 0.0 -0.08456123 0.011260201000000001 0.27451503 0.33736032 0.6966569 0.6543424 -0.6307931999999999 -0.5882036999999999
84 83 80.0 0.0 3320.0 83.0 20.0 1660.0 0.2 -20.0 -20.0 0.0 -0.23907928 -0.30281004 0.21244983 0.29211256 0.45923546 0.74116844 -0.69112414 -0.94443375
85 84 80.0 0.0 3360.0 84.0 20.0 1680.0 0.2 -20.0 -20.0 1.0 -0.038681556 -0.36632222 0.23691020000000004 0.1790231 0.5252031 0.1837426 -0.7046342 -0.84197694
86 85 120.0 0.0 3400.0 85.0 20.0 1700.0 0.2 -20.0 -20.0 0.0 0.5876654066611081 0.2792357515284997 1.0222908630967142 0.05579056963324547 0.001 0.0 0.001 0.001 0.17089364 0.035492178 0.2872097 0.12092903 -0.27852684 -0.40518498 0.26981717 0.21174757 0.25690678 0.071093194 -1.0660025 -0.8215861999999999
87 86 120.0 0.0 3440.0 86.0 20.0 1720.0 0.2 -20.0 -20.0 0.0 -0.19829957 -0.26623759999999996 0.32984936 0.262529 0.41584083 0.40404412 -1.0918533000000001 -0.82599145
88 87 120.0 0.0 3480.0 87.0 20.0 1740.0 0.2 -20.0 -20.0 0.0 -0.03236134 -0.18386374 0.25055546 0.27888948 0.5237757000000001 0.4947755999999999 -0.55878067 -0.9183525
89 88 120.0 0.0 3520.0 88.0 20.0 1760.0 0.2 -20.0 -20.0 0.0 -0.13913633 -0.30437365 0.27221596 0.24429634 0.4926661 0.26005626 -0.8009215000000001 -0.9336488000000002
90 89 120.0 0.0 3560.0 89.0 20.0 1780.0 0.2 -20.0 -20.0 0.0 -0.0655679 -0.20807022 0.23999299 0.20379286 0.5646502 0.21645428 -0.7869487 -0.6993531999999999
91 90 120.0 0.0 3600.0 90.0 20.0 1800.0 0.2 -20.0 -20.0 0.0 -0.24866104 -0.057226393 0.27452323 0.30058616 0.3888233 0.5897547 -0.9761933 -0.58540106
92 91 120.0 0.0 3640.0 91.0 20.0 1820.0 0.2 -20.0 -20.0 0.0 -0.29804194 -0.27076235 0.28115764 0.33429345 0.4320733 0.5122779000000001 -0.8263832 -1.2699062
93 92 120.0 0.0 3680.0 92.0 20.0 1840.0 0.2 -20.0 -20.0 0.0 -0.35232338 -0.43397653 0.27065188 0.2827423 0.27110377 0.22330569 -0.9885322 -1.1845757
94 93 120.0 0.0 3720.0 93.0 20.0 1860.0 0.2 -20.0 -20.0 0.0 -0.1393085 -0.19653097 0.26421964 0.27777925 0.72752583 0.39001054 -0.76078606 -0.9552108
95 94 120.0 0.0 3760.0 94.0 20.0 1880.0 0.2 -20.0 -20.0 0.0 -0.1874267 -0.38486679999999995 0.22494009 0.21734974 0.39146134 0.006020385 -0.5499991999999999 -0.8876527
96 95 120.0 0.0 3800.0 95.0 20.0 1900.0 0.2 -20.0 -20.0 0.0 -0.20254555 -0.27278632 0.29780453 0.23829720000000001 0.6105594 0.5093378 -0.93699104 -0.8968370999999999
97 96 120.0 0.0 3840.0 96.0 20.0 1920.0 0.2 -20.0 -20.0 0.0 -0.17244954 -0.25269246 0.21784653 0.2749304 0.31362107 0.6264193 -0.6934651 -0.88299626
98 97 120.0 0.0 3880.0 97.0 20.0 1940.0 0.2 -20.0 -20.0 0.0 -0.22451258 -0.15297988 0.23483892 0.288616 0.30209517 0.6610035 -0.83339065 -0.7256064
99 98 120.0 0.0 3920.0 98.0 20.0 1960.0 0.2 -20.0 -20.0 0.0 -0.21736349 -0.33593833 0.26104584 0.22257903 0.5101901 0.23209347 -0.6854097 -0.9920068999999999
100 99 120.0 0.0 3960.0 99.0 20.0 1980.0 0.2 -20.0 -20.0 0.0 -0.2595446 -0.29681640000000004 0.31332773 0.21029699 0.42133093 0.30721727 -0.9124277 -0.6403856
101 100 120.0 0.0 4000.0 100.0 20.0 2000.0 0.2 -20.0 -20.0 0.0 -0.08028179 -0.3565239 0.25677672 0.2698312 0.5501905 0.26641396 -0.780771 -0.8669818000000001
102 101 160.0 0.0 4040.0 101.0 20.0 2020.0 0.2 -20.0 -20.0 0.0 0.4984192695468664 0.2461725940336975 0.8605570569634438 0.02982992306351662 0.001 0.0 0.001 0.001 0.15355833 0.029133506 0.2159926 0.09353427 -0.23399527 -0.27596745 0.33103532 0.26687482 0.80760235 0.27071756 -0.8319379000000001 -0.8754004999999999
103 102 160.0 0.0 4080.0 102.0 20.0 2040.0 0.2 -20.0 -20.0 0.0 -0.311827 -0.24679549 0.24059002 0.2144692 0.21550176 0.31581903 -0.9107811 -0.74095845
104 103 160.0 0.0 4120.0 103.0 20.0 2060.0 0.2 -20.0 -20.0 0.0 -0.30778563 -0.25609338 0.28079529999999997 0.24794944 0.28797162 0.28524852 -1.1231341000000001 -0.8463185
105 104 160.0 0.0 4160.0 104.0 20.0 2080.0 0.2 -20.0 -20.0 0.0 -0.33547553 -0.16097368 0.258434 0.22624509 0.26268688 0.32403487 -0.92083275 -0.7932978
106 105 160.0 0.0 4200.0 105.0 20.0 2100.0 0.2 -20.0 -20.0 0.0 -0.19714713 -0.07233839 0.30760133 0.26342162 0.44252956 0.6029727 -1.0921963 -0.6436206
107 106 160.0 0.0 4240.0 106.0 20.0 2120.0 0.2 -20.0 -20.0 0.0 -0.36978465 -0.037351552 0.2593655 0.24520083 0.26559025 0.56679624 -0.7633683000000001 -0.6444025999999999
108 107 160.0 0.0 4280.0 107.0 20.0 2140.0 0.2 -20.0 -20.0 0.0 -0.21131037 -0.3521061 0.32654265 0.23902008 0.59753895 0.33059390000000005 -1.0037359000000001 -0.93545824
109 108 160.0 0.0 4320.0 108.0 20.0 2160.0 0.2 -20.0 -20.0 0.0 -0.30285227 -0.1543388 0.26676202 0.18324281 0.33170520000000003 0.32798445 -1.1434121000000002 -0.7944423
110 109 160.0 0.0 4360.0 109.0 20.0 2180.0 0.2 -20.0 -20.0 0.0 -0.19639875 -0.3467151 0.28617412 0.3162614 0.49846074 0.35397947 -0.7968736999999999 -1.0618016000000001
111 110 160.0 0.0 4400.0 110.0 20.0 2200.0 0.2 -20.0 -20.0 0.0 -0.073811814 0.056491222 0.23836504 0.26962608 0.42978525 0.6062738 -0.6493607 -0.6938049
112 111 160.0 0.0 4440.0 111.0 20.0 2220.0 0.2 -20.0 -20.0 0.0 -0.24478725 -0.13103954 0.31683615 0.25987247 0.42401662 0.47154582 -1.2469925 -0.8983396
113 112 160.0 0.0 4480.0 112.0 20.0 2240.0 0.2 -20.0 -20.0 0.0 -0.08407497 -0.23186579999999998 0.29738232 0.27244320000000005 0.55324024 0.34902722 -0.6188243 -0.7447954999999999
114 113 160.0 0.0 4520.0 113.0 20.0 2260.0 0.2 -20.0 -20.0 0.0 0.0028031096 -0.3011248 0.21303633 0.2691907 0.47901616 0.38248122 -0.5171924 -1.1047136
115 114 160.0 0.0 4560.0 114.0 20.0 2280.0 0.2 -20.0 -20.0 0.0 -0.35703495 -0.21007426 0.28346997 0.1975237 0.36364087 0.22885007 -0.9234206 -0.65977794
116 115 160.0 0.0 4600.0 115.0 20.0 2300.0 0.2 -20.0 -20.0 0.0 -0.22789859999999998 -0.15321204 0.28508115 0.24748965 0.36585265 0.41555342 -0.97878385 -1.0060415
117 116 160.0 0.0 4640.0 116.0 20.0 2320.0 0.2 -20.0 -20.0 1.0 -0.29270697 -0.12540664 0.24586688 0.17658056 0.44459692 0.26715827 -0.7945236999999999 -0.5700732
118 117 200.0 0.0 4680.0 117.0 20.0 2340.0 0.2 -20.0 -20.0 0.0 0.4694008755730465 0.22473674884620287 0.8104020291939378 0.03167315945029259 0.001 0.0 0.001 0.001 0.14752981 0.025768895 0.21899976 0.10778956 -0.35733550000000003 -0.23426522 0.27329645 0.24864097 0.19786236 0.40568924 -0.97476774 -0.89267284
119 118 200.0 0.0 4720.0 118.0 20.0 2360.0 0.2 -20.0 -20.0 0.0 -0.32619640000000005 -0.3096821 0.27097246 0.28753778 0.30289787 0.24421737 -0.7806396 -1.0545666999999999
120 119 200.0 0.0 4760.0 119.0 20.0 2380.0 0.2 -20.0 -20.0 0.0 -0.092251696 -0.36453888 0.20488134 0.26258590000000004 0.4231826 0.44569588 -0.66545045 -0.80676043
121 120 200.0 0.0 4800.0 120.0 20.0 2400.0 0.2 -20.0 -20.0 0.0 -0.27503449999999996 -0.19745517 0.31145117 0.24666125 0.5848317 0.36149082 -0.8874408000000001 -0.9802664000000001
122 121 200.0 0.0 4840.0 121.0 20.0 2420.0 0.2 -20.0 -20.0 0.0 -0.27093342 -0.27443597 0.26459715 0.28547722 0.391394 0.4859662 -0.8796159 -1.2387271
123 122 200.0 0.0 4880.0 122.0 20.0 2440.0 0.2 -20.0 -20.0 0.0 -0.40744483 -0.27314642 0.2795804 0.28714270000000003 0.3708169 0.42371058 -0.8650844000000001 -1.0007915
124 123 200.0 0.0 4920.0 123.0 20.0 2460.0 0.2 -20.0 -20.0 0.0 -0.14962155 -0.22418585 0.20763272 0.30577084 0.47790462 0.37962687 -0.7154377 -0.93638253
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