Distance between two disksΒΆ

plot disk to disk
1.5833077079451985
0.5514540445464243
0.42086717541478363
1.3161601807629424
0.6145011523660877
1.9648698793663741
0.0
0.9511472731068509
0.665663460979369
2.1846186494448765
0.11585068424214917
0.38186623412669696
0.5858756122389237
0.28977109397520034
0.19366494243720037
2.0756283304664094
0.6408362394148308
1.1721485237802847
3.15746729316031
0.6015158136671998
1.4504101000938192
0.28023582659898455
1.4698544380192786
0.18663458379676606
1.4533643496567887
1.2517004113383985
0.14814719117730177
1.110242409337519
0.4380142386082725
0.736500357468796
0.0016953409103542816
0.8428781753874315
0.4841186587995295
0.0
0.47998511153265094
1.3811974909243985
0.7268383954312311
0.0
1.242011212023446
0.8708407646082093
0.47379434219705174
0.040788635609099275
0.8178777909362602
0.8145349576002305
0.36570165504941327
0.7470198579308875
1.2245113179434681
0.1325203824837809
0.9958607989725355
0.5097259288126867
1.330574262951802
0.22854302976305121
0.8205643322308263
0.928423274139075
1.3948488688493128
1.1195628555299297
1.8401419368363907
0.41881988996673164
0.0
0.8920400820874552
0.004835526648211058
1.2794869947332148
0.7042886655502907
0.5681190958055212
0.29467853590903154
0.5434135211318554
1.3142226040531009
0.6385187109054473
0.0
1.9948147160193088
0.7436485145250706
0.62432291780568
0.0
0.1536061350960336
0.8598756099845958
0.7983487290498046
0.8625310861266463
1.6209367192420505
0.0023593343235819918
2.1686184989032724
0.48587167742781845
0.0
0.457636366099352
1.0671880451111104
0.5066442265485572
0.526762316944683
0.02707234536785974
0.8519685721016266
0.0863895510961879
1.151407874779639
0.0
1.8338301282640912
0.5531214426923646
0.0
0.0828224803114542
0.018027242647524644
0.0
2.0458666795913363
0.43033555367957493
0.5072266040303184
0.0347928612790483
0.8098733724122115
1.6527913444473044
0.6318866023143499
0.42456100237854716
2.7920501346709058e-05
0.8097596475754858
0.2850843901615344
0.2576657570272528
0.9982441594246452
2.224979904644577
0.1489886432860027
1.962369646323448
0.7062997649293565
0.0
0.604488434187729
0.25728117088465857
0.0
0.2421620155632103
0.2525458822395315
1.0955422592558364
1.2235999910986217
0.6173233494065083
1.3534332151730957
0.24150525994238217
0.017440238027906174
0.2971747840684916
0.0
0.6477105263074727
0.730028117705647
0.4139709506778796
0.2679138340946766
7.0401335256612784e-09
0.8393918190092803
1.929143888799947
0.5752662762965496
4.757873872662799e-09
0.7730397487847778
0.38882614495877404
1.3726737738569388
0.08281496741574365
0.9266079955422619
0.13584305870991284
0.5449894662445359
0.14137684900881028
0.3965092857562116
0.41708249892374977
0.11419291410643423
0.1005974098500913
0.0
1.0017720789393092
0.49742269532697536
1.3869901124185693
1.4695456235283564
0.20272840580646753
1.3359860267435872
0.0
4.50000399310202e-06
0.39135661570155467
0.8284550825071871
0.3058104309763331
1.5460296691224627e-08
0.0
0.5786440452858137
1.5070758822116932
0.0
0.0
0.23142287518010318
1.696040756164726
0.6321239812770776
1.0715294434473768
1.5343554608822227
0.7876472112500229
0.0
0.03659002249940968
0.41019612446708625
1.5725792648414476
0.9328418955880727
0.7801700365599455
0.619446648033241
2.2365919694124834
1.1013298495399226e-08
1.034555962665686e-09
1.2996286910673236
1.214403602408325
1.1890739815821412
0.9851679904432313
0.7786080889686458
0.38432261032682125
0.25533178221379726
0.0
0.458120335702989
2.545222480614784
1.0268738968361139e-10
1.0010736358127037
1.9959272524372094
0.3551317147699221
0.2186178796445399
0.0
0.7080102920407831
0.31465945327964884
0.01616031495030379
1.4745636660271912
0.1874725083159779
0.35909051014222915
0.0
1.2957517680906716
0.8771196120792514
0.7817992230365202
0.35120095485054464
8.252849171964108e-08
0.9349796820480879
1.647998562015227
0.6068399112654835
0.7477086262659133
0.0
0.8135476409717223
1.3398562871866433
0.7790011070077769
0.0
0.9690525144035138
0.7565580930299501
0.33184393771248366
1.019517037487632
0.6313191638631964
1.2955975493181064
0.8385124432042234
0.09537254184917504
2.0964101550017498
0.6255685252498483
1.1030714893358733
0.528092686209797
1.1174273946352526
0.0
0.0
0.5173757728114553
0.6165868189113164
0.8853699158713674
0.49688873877064754
0.9256600501987537
0.6035120407742821
0.5896384480838773
0.0913342878468212
0.9887780554718384
0.3118266645400686
0.04211335841446205
1.1895934579649494
0.17373068300613606
0.13962449340028357
0.36092667571268633
0.7415587938727977
0.056151713206077807
1.0373294889554456
0.822044203201088
0.15117758104232368
2.3288944380926195
0.4593545672163019
0.8379051923107154
0.758464638682636
0.48801698900489876
0.5612516739063197
2.699605524525161
0.7357206968150062
0.6193611931408267
0.25776134582442034
0.7434503734246817
0.020936697945500675
0.22494151030331358
0.13168243415002612
0.7854671290524925
1.0201351875895621
0.0
4.921311350614498e-05
0.8698129065195976
0.625950909985737
0.6433072342573429
0.4275293902527074
0.5004434886613929
1.2154826328317396
0.2750972832857107
0.40105442835292526
1.12258645562828
1.7657856665691125
1.2775919780493779
1.147204252183572
1.0896145204196481
0.9139905911010139
1.5695819360894703e-06
0.9914888438684559
0.49564613084695774
0.6633797285560152
2.6157266891478828
0.13967523972490295
0.0037920853625804246
0.20996694143794026
1.731241976875939
0.9337725887702661
0.8511061614998084
0.35217271503214304
1.934579655781053
1.2502052378231419
0.7917621896082814
0.2995511146989378
1.4281424703473735
0.0
0.4377588829261147
0.38939799071121906
0.0
0.0
0.7713947048271873
0.9481072989303051
0.4787851228571277
0.2724570431666395
1.6102537218310808
0.585476440008347
0.8228397668612474
0.675526138328367
0.08929532469560332
2.6155138122437633
0.7042062003082545
1.578957294710953
0.11751055148168439
1.4674351176071576
0.3036604302108724
1.4884748900917775
0.42293114925750896
0.8447114185841496
0.9938626378604575
1.9440809498985407
0.7118095044948154
0.936330810391883
0.0
0.46053066077021826
0.8734611844754304
0.1636415659921161
0.7477845137937422
1.332233515205801
0.22176843902889365
0.04429415283086441
0.9100801752845892
0.8865629214743123
0.6206060754561951
1.5671439609937199
0.3263334311681184
0.5104676091802776
0.3017021041081463
1.4497556436416024
1.0820796643987138
0.46964171205177724
1.0335081734564633
1.0100369326251357
0.2486103841172744
0.6778941280335317
0.3117741622787915
2.378929981819215
0.6792288382819017
0.0
1.3432913514744222
0.21528848909523834
0.8339877364686629
1.9120071308221918
0.7978047310114375
0.6096320759351134
0.5239827469727846
1.209409503398346
1.7360390990422412
0.0
2.7794429594697734
0.7632604495291371
0.8581462800590993
0.6699759344512275
1.8795933990079242e-09
1.3794197040064448e-06
2.6937206346167883
1.074795210315213
1.1657094018783938
0.6669185976605483
1.5937900803292013
2.060980588501069
1.6120957346821285e-09
0.3439863213206802
2.6825124393911866
8.094913628298173e-13
1.0540484823756164
1.4814470990490949
0.8239900624650012
0.7018630673832401
1.2785661002900082
0.3045067912661051
1.3215142915529916
2.5003358072778834
0.4528946495167568
0.5556866680737291
0.5498344949436118
6.5343139525853745e-12
0.0
2.3064275048790557
0.4092197484519231
2.1739115754817284
0.8951518898686831
1.4646338476001324
0.7077817803910658
0.6797832459188365
0.5234281176006257
2.752618079250258
0.05620884616340829
7.30944194060612e-11
2.183524296357277
1.3499863842754916
1.3381645153326516
1.494000466793571
0.7949113407868503
0.6895715935011173
1.8390738843456482
0.0
0.9861608119528857
0.9701406085398486
0.5351761465317003
1.0412712650351923
0.595916403366227
1.1046676085099205
1.554774782605797
0.20054944962904
1.6477484253943557
0.6940175682887728
1.0387667194547956
0.7593797586843221
0.5540578272124091
1.7821003521911178
2.250605233478728
2.003787706528498
0.17755298595738406
0.7538648247051657
2.220480086164029
0.21435166040227188
0.8359741825563386
0.5783590178057073
0.046126308023629534
0.0680675837476332
1.3633450749218692
0.7572515699513049
0.7652864170618163
1.2822799138900622
1.6108971131443846
1.5228444074066418
1.1657035414536403
1.644517622764361
2.3293617725512608
1.3902807238785897e-09
0.6606694943509532
1.693706725877047
2.340306821689795
0.6236772357954413
0.5170484067031649
0.3894531647985804
0.33460007180623086
0.11217010673440114
1.8016288523339719
1.8253063766690514
2.3653387873364013
0.7991792399606785
2.2618370942861787e-07
0.11639667067087561
1.7058771838322697
0.2994974784437932
2.258755679808635
0.3870192769350643
0.44569920840963023
1.0202603343244567
0.4185945084274345
0.4460074156574491
0.4047658753534843
1.15538770978384
0.0
0.0
2.4301520177836706
0.8267385929690683
0.4427660990011785
0.22488780154210383
0.5198090521641118
0.2963274240936658
2.4094346327026623
1.343782879571589
1.2133201616371725
0.4036909737068548
0.2729015183728846
0.12480187646375468
0.6052355387636571
8.620604230458184e-11
0.5002107550511518
0.0
0.9916194335135252
1.2930628751480198
0.7477843987848304
0.339053418267381
1.1344761370992142
2.980977154696184
1.5454989021504242
0.6462474400959742
0.0
1.3970485879255534e-10
0.005200713687417627
0.9499148336348412
2.7245793348049756
1.3541805510961962
1.01857425132609
1.0565676999659517
0.8397563156151872
2.99107828056285
0.9529874725935074
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0.5180432524518119
0.6434326370295619
0.4299935766131399
0.19729760055358628
0.7853333070101339
2.3522526852482946
0.43777098227338246
0.0
0.161660187694587
0.0750655115581533
0.663229315744639
1.6215496309641058
0.0913984840203022
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2.039024397780493
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0.17116085719850183
1.3425000403648937
1.436031540170923
0.8107220998414346
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1.8030585497562766
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0.5212587754390456
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1.937232608567904
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5.57393742273149e-10
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1.2475271222022641
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1.2443087948899034e-09
1.3636759099856908
0.0
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3.378307517065693e-08
1.9493383816314406e-11
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0.0
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0.0
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accumulated_time=0.3965282440185547

print(__doc__)
import time
import numpy as np
import matplotlib.pyplot as plt
import pytransform3d.plot_utils as ppu
from distance3d.distance import disk_to_disk
from distance3d import plotting, random


random_state = np.random.RandomState(2)
center = np.zeros(3)
radius = 1.0
normal = np.array([0.0, 0.0, 1.0])

ax = ppu.make_3d_axis(ax_s=1.5)

accumulated_time = 0.0
for i in range(3000):
    center2, radius2, normal2 = random.rand_circle(random_state)
    if random_state.rand() >= 0.75:
        normal2 = normal
    start = time.time()
    dist, closest_point1, closest_point2 = disk_to_disk(
        center2, radius2, normal2, center, radius, normal)
    end = time.time()
    accumulated_time += end - start
    print(dist)
    if i > 10:
        continue
    plotting.plot_segment(ax, closest_point1, closest_point2, c="k", lw=1)
    plotting.plot_circle(ax, center2, radius2, normal2, show_normal=True)
print(f"{accumulated_time=}")

plotting.plot_circle(ax, center, radius, normal, show_normal=True)
plt.show()

Total running time of the script: ( 0 minutes 0.654 seconds)

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