==========================================================================================
PEAK LOCATION COMPARISON: TRUE vs FOUND
==========================================================================================
Timestamp: 20260125_214933

----------------------------------------------------------------------
Function: student_t_nu3.0_2D
Dimension: 2
Status: SUCCESS
Error: 0.3000 log units

TRUE PEAKS (1):
  [0]: [0. 0.]

FOUND PEAKS (1):
  [0]: [-5.50300286e-11  0.00000000e+00]

DISTANCES (found -> nearest true):
  Found[0] -> True[0]: dist = 0.000000

----------------------------------------------------------------------
Function: student_t_cauchy_2D
Dimension: 2
Status: SUCCESS
Error: 0.7158 log units

TRUE PEAKS (1):
  [0]: [0. 0.]

FOUND PEAKS (1):
  [0]: [-1.99700673e-07  0.00000000e+00]

DISTANCES (found -> nearest true):
  Found[0] -> True[0]: dist = 0.000000

----------------------------------------------------------------------
Function: banana_b0.1_2D
Dimension: 2
Status: SUCCESS
Error: 0.0055 log units

TRUE PEAKS (1):
  [0]: [0. 0.]

FOUND PEAKS (1):
  [0]: [0.00000000e+00 4.33194819e-25]

DISTANCES (found -> nearest true):
  Found[0] -> True[0]: dist = 0.000000

----------------------------------------------------------------------
Function: banana_b0.5_2D
Dimension: 2
Status: SUCCESS
Error: 0.0922 log units

TRUE PEAKS (1):
  [0]: [0. 0.]

FOUND PEAKS (1):
  [0]: [0.00000000e+00 5.74644679e-26]

DISTANCES (found -> nearest true):
  Found[0] -> True[0]: dist = 0.000000

----------------------------------------------------------------------
Function: funnel_sigma3.0_2D
Dimension: 2
Status: SUCCESS
Error: 1.1250 log units

TRUE PEAKS (1):
  [0]: [0. 0.]

FOUND PEAKS (1):
  [0]: [-4.4999999  0.       ]

DISTANCES (found -> nearest true):
  Found[0] -> True[0]: dist = 4.500000

----------------------------------------------------------------------
Function: exp_power_beta1.0_2D
Dimension: 2
Status: SUCCESS
Error: 0.0781 log units

TRUE PEAKS (1):
  [0]: [0. 0.]

FOUND PEAKS (1):
  [0]: [8.93193414e-15 0.00000000e+00]

DISTANCES (found -> nearest true):
  Found[0] -> True[0]: dist = 0.000000

----------------------------------------------------------------------
Function: exp_power_beta0.5_2D
Dimension: 2
Status: SUCCESS
Error: 1.7859 log units

TRUE PEAKS (1):
  [0]: [0. 0.]

FOUND PEAKS (1):
  [0]: [5.77403326e-19 0.00000000e+00]

DISTANCES (found -> nearest true):
  Found[0] -> True[0]: dist = 0.000000

----------------------------------------------------------------------
Function: ring_R3.0_w0.3_2D
Dimension: 2
Status: SUCCESS
Error: 13.9769 log units

TRUE PEAKS (1):
  [0]: [3. 0.]

FOUND PEAKS (205):
  [0]: [2.8921987  0.79698601]
  [1]: [2.11703996 2.12559211]
  [2]: [-2.68398969  1.34022362]
  [3]: [2.90170072 0.76166459]
  [4]: [2.39832112 1.80223633]
  [5]: [ 2.55717055 -1.56871883]
  [6]: [ 2.94621077 -0.56554582]
  [7]: [2.5664118  1.55355414]
  [8]: [-0.79698601 -2.8921987 ]
  [9]: [ 0.79698601 -2.8921987 ]
  [10]: [ 1.45959754 -2.62098742]
  [11]: [ 1.69215812 -2.47721636]
  [12]: [ 1.95597894 -2.274675  ]
  [13]: [-1.78250762 -2.41302022]
  [14]: [-0.6690442  -2.92444522]
  [15]: [-1.37413694  2.66678602]
  [16]: [-1.53707162 -2.5763173 ]
  [17]: [-0.64862289 -2.92904222]
  [18]: [ 1.61269179 -2.52966899]
  [19]: [-2.30512405  1.92000081]
  [20]: [-2.4519733   1.72853318]
  [21]: [-2.59754177  1.50092529]
  [22]: [ 2.79463286 -1.09088366]
  [23]: [-2.8798929  0.8403671]
  [24]: [-2.9767404  -0.37284926]
  [25]: [-2.44343974 -1.74057526]
  [26]: [-2.91346007 -0.71536733]
  [27]: [2.69748988 1.3128398 ]
  [28]: [-2.39689557 -1.80413182]
  [29]: [-2.55353606  1.57462809]
  [30]: [-2.9460821   0.56621572]
  [31]: [-2.57111529 -1.54575748]
  [32]: [-2.35423649 -1.85945437]
  [33]: [-1.50955404  2.59253671]
  [34]: [1.22684038 2.73767469]
  [35]: [-1.560742   -2.56204692]
  [36]: [-2.17109578 -2.07034854]
  [37]: [-2.52966899 -1.61269179]
  [38]: [1.7513166  2.43575248]
  [39]: [1.66888696 2.49295333]
  [40]: [1.50133368 2.59730575]
  [41]: [-1.12554288 -2.78085477]
  [42]: [1.64510595 2.50871011]
  [43]: [2.08961285 2.15256083]
  [44]: [-1.93397928 -2.29340885]
  [45]: [-1.82228656 -2.38312226]
  [46]: [ 2.34150825 -1.87545705]
  [47]: [-2.66843908 -1.37092411]
  [48]: [2.61866261 1.46376437]
  [49]: [1.91110426 2.31250525]
  [50]: [2.97411555 0.39323869]
  [51]: [2.86121613 0.90191035]
  [52]: [1.97259441 2.26028124]
  [53]: [-1.38575959 -2.66076499]
  [54]: [-1.23681201 -2.73318423]
  [55]: [ 0.92718271 -2.85312674]
  [56]: [-1.8402265   2.36929661]
  [57]: [ 2.24422961 -1.99083738]
  [58]: [ 2.36749808 -1.84253977]
  [59]: [-2.53544351  1.60359789]
  [60]: [-1.93375047  2.29360178]
  [61]: [0.50439194 2.95729416]
  [62]: [-1.25777612  2.72360042]
  [63]: [-0.59617848  2.94016517]
  [64]: [-0.20340272  2.99309661]
  [65]: [0.94181296 2.8483308 ]
  [66]: [2.71739877 1.27111917]
  [67]: [2.92444522 0.6690442 ]
  [68]: [-2.9959456   0.15591656]
  [69]: [-2.92980328  0.64517651]
  [70]: [-0.87001245  2.87107616]
  [71]: [0.72703935 2.91056932]
  [72]: [2.50649678 1.64847623]
  [73]: [ 0.35202284 -2.97927507]
  [74]: [-1.97194672 -2.26084633]
  [75]: [-0.18096102 -2.99453721]
  [76]: [ 0.46596593 -2.9635917 ]
  [77]: [ 0.9633304  -2.84112558]
  [78]: [ 1.51318668 -2.59041813]
  [79]: [ 2.09494212 -2.14737456]
  [80]: [ 2.60900687 -1.48090619]
  [81]: [ 2.8921987  -0.79698601]
  [82]: [2.84005158 0.96649211]
  [83]: [ 0.676667   -2.92269084]
  [84]: [ 2.98970447 -0.24832877]
  [85]: [-2.82602766 -1.00676099]
  [86]: [ 1.87847155 -2.33909056]
  [87]: [-2.8921987  -0.79698601]
  [88]: [ 1.27111917 -2.71739877]
  [89]: [-2.38115613 -1.82485493]
  [90]: [-2.55883221 -1.56600693]
  [91]: [ 2.486881   -1.67792219]
  [92]: [-1.71101833 -2.46422732]
  [93]: [-2.74881784  1.2016657 ]
  [94]: [-2.84147    -0.96231401]
  [95]: [ 2.92444522 -0.6690442 ]
  [96]: [-2.96610487 -0.44969091]
  [97]: [-2.71739877 -1.27111917]
  [98]: [-2.36892717  1.84070206]
  [99]: [2.21027057 2.02847332]
  [100]: [0.37151678 2.976907  ]
  [101]: [-2.70383371  1.2997243 ]
  [102]: [ 2.9959456  -0.15591656]
  [103]: [-2.99863441  0.09050783]
  [104]: [-1.02627522 -2.81899968]
  [105]: [2.99907122 0.07464441]
  [106]: [-2.1233139  -2.11932492]
  [107]: [-0.37666729 -2.97625969]
  [108]: [-1.90732008  2.31562737]
  [109]: [2.46254828 1.71343396]
  [110]: [-1.4315797  -2.63639518]
  [111]: [1.09088366 2.79463286]
  [112]: [-0.09435961 -2.99851568]
  [113]: [-2.21709392 -2.02101325]
  [114]: [ 2.41302022 -1.78250762]
  [115]: [-2.09887821  2.14352753]
  [116]: [-1.98034104  2.25349714]
  [117]: [0.21409854 2.99235055]
  [118]: [-2.62949736 -1.44421039]
  [119]: [-2.41302022  1.78250762]
  [120]: [-1.43788588  2.63296111]
  [121]: [-2.09494074 -2.14737591]
  [122]: [-1.63317013  2.51649664]
  [123]: [ 2.11614722 -2.12648088]
  [124]: [-0.0370809   2.99977083]
  [125]: [2.37110374 1.83789746]
  [126]: [1.16249986 2.76560917]
  [127]: [1.84316133 2.36701422]
  [128]: [1.56833612 2.55740529]
  [129]: [2.48751777 1.67697804]
  [130]: [-2.99506082 -0.17207752]
  [131]: [-2.63748098  1.4295783 ]
  [132]: [-2.76878169 -1.15492334]
  [133]: [-1.04257467  2.81301227]
  [134]: [2.33115803 1.88830671]
  [135]: [-2.99999866e+00 -2.83394142e-03]
  [136]: [ 2.14737591 -2.09494074]
  [137]: [-2.98794893  0.26862834]
  [138]: [-2.9636388   0.46566626]
  [139]: [ 1.37752432 -2.66503785]
  [140]: [ 2.69611896 -1.3156529 ]
  [141]: [0.27473312 2.9873938 ]
  [142]: [-1.21087185 -2.74477492]
  [143]: [1.01790543 2.8220327 ]
  [144]: [-1.56016974  2.56239544]
  [145]: [ 1.82485493 -2.38115613]
  [146]: [2.17999842 2.06097231]
  [147]: [-2.2173426  2.0207404]
  [148]: [-1.59392107 -2.54153804]
  [149]: [ 2.86673114 -0.88422427]
  [150]: [-2.82788767  1.0015245 ]
  [151]: [-1.91761349 -2.30711043]
  [152]: [-2.14737591  2.09494074]
  [153]: [ 0.62469009 -2.93423964]
  [154]: [2.78594508 1.11288364]
  [155]: [ 2.46091474 -1.71577931]
  [156]: [ 2.71775757 -1.27035184]
  [157]: [ 2.82038989 -1.02244848]
  [158]: [-2.48751777  1.67697804]
  [159]: [1.77284137 2.42013088]
  [160]: [-0.27376274 -2.98748288]
  [161]: [ 0.06245284 -2.99934987]
  [162]: [-0.51725821  2.95507089]
  [163]: [0.07084124 2.99916347]
  [164]: [ 2.57890777 -1.53272134]
  [165]: [ 2.9636388  -0.46566626]
  [166]: [-1.6673793   2.49396196]
  [167]: [-2.86591171 -0.88687659]
  [168]: [-2.80498762 -1.06397579]
  [169]: [-0.04562029  2.99965311]
  [170]: [-2.98048493  0.34162786]
  [171]: [1.35838485 2.67484403]
  [172]: [0.78728623 2.89485412]
  [173]: [ 2.9974736  -0.12309364]
  [174]: [-0.41933884  2.97054792]
  [175]: [ 2.90120797 -0.76353933]
  [176]: [2.93517714 0.62027024]
  [177]: [ 1.78250568 -2.41302165]
  [178]: [2.26028124 1.97259441]
  [179]: [ 0. -3.]
  [180]: [-1.19638968  2.75111827]
  [181]: [-0.91319083 -2.85763582]
  [182]: [-0.84787703  2.87769083]
  [183]: [-0.4964056  -2.95864521]
  [184]: [-2.90661909  0.74267452]
  [185]: [-2.92444522  0.6690442 ]
  [186]: [-2.86900019  0.87683403]
  [187]: [ 1.16202764 -2.76580761]
  [188]: [3. 0.]
  [189]: [ 2.02763066 -2.21104363]
  [190]: [ 1.06397579 -2.80498762]
  [191]: [-2.79463286  1.09088366]
  [192]: [0.42272103 2.97006851]
  [193]: [-0.46566626 -2.9636388 ]
  [194]: [ 2.97709711 -0.36999024]
  [195]: [-0.39698065  2.9736184 ]
  [196]: [-1.72791432  2.45240945]
  [197]: [-2.92444522 -0.6690442 ]
  [198]: [2.96866141 0.43249213]
  [199]: [-2.93756414 -0.60886526]
  [200]: [-1.78747507  2.40934283]
  [201]: [-0.30879711  2.98406507]
  [202]: [2.99574583 0.15970895]
  [203]: [-0.98794706  2.83265963]
  [204]: [-0.71324759  2.91397973]

DISTANCES (found -> nearest true):
  Found[0] -> True[0]: dist = 0.804244
  Found[1] -> True[0]: dist = 2.301686
  Found[2] -> True[0]: dist = 5.839858
  Found[3] -> True[0]: dist = 0.767982
  Found[4] -> True[0]: dist = 1.900019
  Found[5] -> True[0]: dist = 1.630024
  Found[6] -> True[0]: dist = 0.568098
  Found[7] -> True[0]: dist = 1.612926
  Found[8] -> True[0]: dist = 4.773041
  Found[9] -> True[0]: dist = 3.635668
  Found[10] -> True[0]: dist = 3.040134
  Found[11] -> True[0]: dist = 2.801259
  Found[12] -> True[0]: dist = 2.502824
  Found[13] -> True[0]: dist = 5.356776
  Found[14] -> True[0]: dist = 4.691936
  Found[15] -> True[0]: dist = 5.122970
  Found[16] -> True[0]: dist = 5.217512
  Found[17] -> True[0]: dist = 4.678861
  Found[18] -> True[0]: dist = 2.885108
  Found[19] -> True[0]: dist = 5.641874
  Found[20] -> True[0]: dist = 5.719427
  Found[21] -> True[0]: dist = 5.795278
  Found[22] -> True[0]: dist = 1.110046
  Found[23] -> True[0]: dist = 5.939643
  Found[24] -> True[0]: dist = 5.988359
  Found[25] -> True[0]: dist = 5.714949
  Found[26] -> True[0]: dist = 5.956573
  Found[27] -> True[0]: dist = 1.347242
  Found[28] -> True[0]: dist = 5.690463
  Found[29] -> True[0]: dist = 5.772453
  Found[30] -> True[0]: dist = 5.972980
  Found[31] -> True[0]: dist = 5.781582
  Found[32] -> True[0]: dist = 5.667929
  Found[33] -> True[0]: dist = 5.201666
  Found[34] -> True[0]: dist = 3.261742
  Found[35] -> True[0]: dist = 5.231104
  Found[36] -> True[0]: dist = 5.570150
  Found[37] -> True[0]: dist = 5.760036
  Found[38] -> True[0]: dist = 2.737170
  Found[39] -> True[0]: dist = 2.826071
  Found[40] -> True[0]: dist = 2.998666
  Found[41] -> True[0]: dist = 4.975265
  Found[42] -> True[0]: dist = 2.851204
  Found[43] -> True[0]: dist = 2.337161
  Found[44] -> True[0]: dist = 5.440944
  Found[45] -> True[0]: dist = 5.379007
  Found[46] -> True[0]: dist = 1.987700
  Found[47] -> True[0]: dist = 5.831864
  Found[48] -> True[0]: dist = 1.512622
  Found[49] -> True[0]: dist = 2.556047
  Found[50] -> True[0]: dist = 0.394090
  Found[51] -> True[0]: dist = 0.912526
  Found[52] -> True[0]: dist = 2.482828
  Found[53] -> True[0]: dist = 5.129772
  Found[54] -> True[0]: dist = 5.041912
  Found[55] -> True[0]: dist = 3.526599
  Found[56] -> True[0]: dist = 5.389004
  Found[57] -> True[0]: dist = 2.129465
  Found[58] -> True[0]: dist = 1.948079
  Found[59] -> True[0]: dist = 5.763043
  Found[60] -> True[0]: dist = 5.440818
  Found[61] -> True[0]: dist = 3.869580
  Found[62] -> True[0]: dist = 5.054370
  Found[63] -> True[0]: dist = 4.645113
  Found[64] -> True[0]: dist = 4.384110
  Found[65] -> True[0]: dist = 3.514132
  Found[66] -> True[0]: dist = 1.302155
  Found[67] -> True[0]: dist = 0.673297
  Found[68] -> True[0]: dist = 5.997972
  Found[69] -> True[0]: dist = 5.964798
  Found[70] -> True[0]: dist = 4.818721
  Found[71] -> True[0]: dist = 3.692934
  Found[72] -> True[0]: dist = 1.720761
  Found[73] -> True[0]: dist = 3.985958
  Found[74] -> True[0]: dist = 5.461839
  Found[75] -> True[0]: dist = 4.368726
  Found[76] -> True[0]: dist = 3.899257
  Found[77] -> True[0]: dist = 3.495714
  Found[78] -> True[0]: dist = 2.986784
  Found[79] -> True[0]: dist = 2.330311
  Found[80] -> True[0]: dist = 1.531652
  Found[81] -> True[0]: dist = 0.804244
  Found[82] -> True[0]: dist = 0.979638
  Found[83] -> True[0]: dist = 3.733631
  Found[84] -> True[0]: dist = 0.248542
  Found[85] -> True[0]: dist = 5.912374
  Found[86] -> True[0]: dist = 2.594065
  Found[87] -> True[0]: dist = 5.945855
  Found[88] -> True[0]: dist = 3.220758
  Found[89] -> True[0]: dist = 5.682160
  Found[90] -> True[0]: dist = 5.775205
  Found[91] -> True[0]: dist = 1.754626
  Found[92] -> True[0]: dist = 5.316588
  Found[93] -> True[0]: dist = 5.873066
  Found[94] -> True[0]: dist = 5.920204
  Found[95] -> True[0]: dist = 0.673297
  Found[96] -> True[0]: dist = 5.983028
  Found[97] -> True[0]: dist = 5.856995
  Found[98] -> True[0]: dist = 5.675699
  Found[99] -> True[0]: dist = 2.176781
  Found[100] -> True[0]: dist = 3.971259
  Found[101] -> True[0]: dist = 5.850043
  Found[102] -> True[0]: dist = 0.155969
  Found[103] -> True[0]: dist = 5.999317
  Found[104] -> True[0]: dist = 4.915043
  Found[105] -> True[0]: dist = 0.074650
  Found[106] -> True[0]: dist = 5.544356
  Found[107] -> True[0]: dist = 4.501111
  Found[108] -> True[0]: dist = 5.426225
  Found[109] -> True[0]: dist = 1.795748
  Found[110] -> True[0]: dist = 5.156499
  Found[111] -> True[0]: dist = 3.384479
  Found[112] -> True[0]: dist = 4.308846
  Found[113] -> True[0]: dist = 5.594869
  Found[114] -> True[0]: dist = 1.876667
  Found[115] -> True[0]: dist = 5.531118
  Found[116] -> True[0]: dist = 5.466447
  Found[117] -> True[0]: dist = 4.088448
  Found[118] -> True[0]: dist = 5.811797
  Found[119] -> True[0]: dist = 5.698958
  Found[120] -> True[0]: dist = 5.160166
  Found[121] -> True[0]: dist = 5.528982
  Found[122] -> True[0]: dist = 5.272478
  Found[123] -> True[0]: dist = 2.302850
  Found[124] -> True[0]: dist = 4.268780
  Found[125] -> True[0]: dist = 1.942518
  Found[126] -> True[0]: dist = 3.320392
  Found[127] -> True[0]: dist = 2.634584
  Found[128] -> True[0]: dist = 2.930867
  Found[129] -> True[0]: dist = 1.753537
  Found[130] -> True[0]: dist = 5.997530
  Found[131] -> True[0]: dist = 5.815917
  Found[132] -> True[0]: dist = 5.883255
  Found[133] -> True[0]: dist = 4.924982
  Found[134] -> True[0]: dist = 2.003260
  Found[135] -> True[0]: dist = 5.999999
  Found[136] -> True[0]: dist = 2.261801
  Found[137] -> True[0]: dist = 5.993971
  Found[138] -> True[0]: dist = 5.981792
  Found[139] -> True[0]: dist = 3.120073
  Found[140] -> True[0]: dist = 1.350291
  Found[141] -> True[0]: dist = 4.043711
  Found[142] -> True[0]: dist = 5.026453
  Found[143] -> True[0]: dist = 3.448560
  Found[144] -> True[0]: dist = 5.230776
  Found[145] -> True[0]: dist = 2.655348
  Found[146] -> True[0]: dist = 2.218109
  Found[147] -> True[0]: dist = 5.595003
  Found[148] -> True[0]: dist = 5.250098
  Found[149] -> True[0]: dist = 0.894211
  Found[150] -> True[0]: dist = 5.913318
  Found[151] -> True[0]: dist = 5.431913
  Found[152] -> True[0]: dist = 5.557360
  Found[153] -> True[0]: dist = 3.775164
  Found[154] -> True[0]: dist = 1.133283
  Found[155] -> True[0]: dist = 1.798475
  Found[156] -> True[0]: dist = 1.301328
  Found[157] -> True[0]: dist = 1.038104
  Found[158] -> True[0]: dist = 5.738040
  Found[159] -> True[0]: dist = 2.713476
  Found[160] -> True[0]: dist = 4.431995
  Found[161] -> True[0]: dist = 4.198248
  Found[162] -> True[0]: dist = 4.593860
  Found[163] -> True[0]: dist = 4.192249
  Found[164] -> True[0]: dist = 1.589514
  Found[165] -> True[0]: dist = 0.467084
  Found[166] -> True[0]: dist = 5.291907
  Found[167] -> True[0]: dist = 5.932577
  Found[168] -> True[0]: dist = 5.901688
  Found[169] -> True[0]: dist = 4.274777
  Found[170] -> True[0]: dist = 5.990235
  Found[171] -> True[0]: dist = 3.138422
  Found[172] -> True[0]: dist = 3.643663
  Found[173] -> True[0]: dist = 0.123120
  Found[174] -> True[0]: dist = 4.529463
  Found[175] -> True[0]: dist = 0.769904
  Found[176] -> True[0]: dist = 0.623648
  Found[177] -> True[0]: dist = 2.702770
  Found[178] -> True[0]: dist = 2.106730
  Found[179] -> True[0]: dist = 4.242641
  Found[180] -> True[0]: dist = 5.017802
  Found[181] -> True[0]: dist = 4.845528
  Found[182] -> True[0]: dist = 4.804921
  Found[183] -> True[0]: dist = 4.580222
  Found[184] -> True[0]: dist = 5.953126
  Found[185] -> True[0]: dist = 5.962103
  Found[186] -> True[0]: dist = 5.934139
  Found[187] -> True[0]: dist = 3.320818
  Found[188] -> True[0]: dist = 0.000000
  Found[189] -> True[0]: dist = 2.415412
  Found[190] -> True[0]: dist = 3.408247
  Found[191] -> True[0]: dist = 5.896422
  Found[192] -> True[0]: dist = 3.932388
  Found[193] -> True[0]: dist = 4.560044
  Found[194] -> True[0]: dist = 0.370698
  Found[195] -> True[0]: dist = 4.514630
  Found[196] -> True[0]: dist = 5.326114
  Found[197] -> True[0]: dist = 5.962103
  Found[198] -> True[0]: dist = 0.433626
  Found[199] -> True[0]: dist = 5.968700
  Found[200] -> True[0]: dist = 5.359557
  Found[201] -> True[0]: dist = 4.455646
  Found[202] -> True[0]: dist = 0.159766
  Found[203] -> True[0]: dist = 4.891593
  Found[204] -> True[0]: dist = 4.720115

----------------------------------------------------------------------
Function: twisted_t1.0_2D
Dimension: 2
Status: SUCCESS
Error: 0.3823 log units

TRUE PEAKS (1):
  [0]: [0. 0.]

FOUND PEAKS (1):
  [0]: [6.98357087e-09 9.75698263e-09]

DISTANCES (found -> nearest true):
  Found[0] -> True[0]: dist = 0.000000

----------------------------------------------------------------------
Function: skew_normal_a5.0_2D
Dimension: 2
Status: SUCCESS
Error: 0.0110 log units

TRUE PEAKS (1):
  [0]: [0.37 0.37]

FOUND PEAKS (1):
  [0]: [0.37050183 0.37050183]

DISTANCES (found -> nearest true):
  Found[0] -> True[0]: dist = 0.000710

----------------------------------------------------------------------
Function: bimodal_w0.9_2D
Dimension: 2
Status: SUCCESS
Error: 0.0002 log units

TRUE PEAKS (2):
  [0]: [0. 0.]
  [1]: [5. 0.]

FOUND PEAKS (2):
  [0]: [ 2.07295935e-06 -5.99880234e-09]
  [1]: [4.99983216e+00 3.12461573e-09]

DISTANCES (found -> nearest true):
  Found[0] -> True[0]: dist = 0.000002
  Found[1] -> True[1]: dist = 0.000168

----------------------------------------------------------------------
Function: student_t_nu3.0_4D
Dimension: 4
Status: SUCCESS
Error: 0.0323 log units

TRUE PEAKS (1):
  [0]: [0. 0. 0. 0.]

FOUND PEAKS (1):
  [0]: [7.73879998e-10 0.00000000e+00 0.00000000e+00 0.00000000e+00]

DISTANCES (found -> nearest true):
  Found[0] -> True[0]: dist = 0.000000

----------------------------------------------------------------------
Function: student_t_cauchy_4D
Dimension: 4
Status: SUCCESS
Error: 1.4586 log units

TRUE PEAKS (1):
  [0]: [0. 0. 0. 0.]

FOUND PEAKS (1):
  [0]: [-1.19880838e-08  0.00000000e+00  0.00000000e+00  0.00000000e+00]

DISTANCES (found -> nearest true):
  Found[0] -> True[0]: dist = 0.000000

----------------------------------------------------------------------
Function: banana_b0.1_4D
Dimension: 4
Status: SUCCESS
Error: 0.0053 log units

TRUE PEAKS (1):
  [0]: [0. 0. 0. 0.]

FOUND PEAKS (1):
  [0]: [0.00000000e+00 1.67174725e-25 0.00000000e+00 0.00000000e+00]

DISTANCES (found -> nearest true):
  Found[0] -> True[0]: dist = 0.000000

----------------------------------------------------------------------
Function: banana_b0.5_4D
Dimension: 4
Status: SUCCESS
Error: 0.0922 log units

TRUE PEAKS (1):
  [0]: [0. 0. 0. 0.]

FOUND PEAKS (1):
  [0]: [0.00000000e+00 6.59678248e-25 0.00000000e+00 0.00000000e+00]

DISTANCES (found -> nearest true):
  Found[0] -> True[0]: dist = 0.000000

----------------------------------------------------------------------
Function: funnel_sigma3.0_4D
Dimension: 4
Status: SUCCESS

TRUE PEAKS (1):
  [0]: [0. 0. 0. 0.]

FOUND PEAKS: None found

----------------------------------------------------------------------
Function: exp_power_beta1.0_4D
Dimension: 4
Status: SUCCESS
Error: 0.0730 log units

TRUE PEAKS (1):
  [0]: [0. 0. 0. 0.]

FOUND PEAKS (1):
  [0]: [-5.04298709e-15  0.00000000e+00  0.00000000e+00  0.00000000e+00]

DISTANCES (found -> nearest true):
  Found[0] -> True[0]: dist = 0.000000

----------------------------------------------------------------------
Function: exp_power_beta0.5_4D
Dimension: 4
Status: SUCCESS
Error: 3.5718 log units

TRUE PEAKS (1):
  [0]: [0. 0. 0. 0.]

FOUND PEAKS (1):
  [0]: [5.77403326e-19 0.00000000e+00 0.00000000e+00 0.00000000e+00]

DISTANCES (found -> nearest true):
  Found[0] -> True[0]: dist = 0.000000

----------------------------------------------------------------------
Function: ring_R3.0_w0.3_4D
Dimension: 4
Status: SUCCESS
Error: 31.0121 log units

TRUE PEAKS (1):
  [0]: [3. 0. 0. 0.]

FOUND PEAKS (432):
  [0]: [-1.40423049  1.44603457  1.44603457  1.68704025]
  [1]: [-1.4990998   1.3369661   1.3369661   1.78262253]
  [2]: [-1.89327436  1.16942435  1.16942435  1.63719443]
  [3]: [-1.7860229   0.99637161  1.27573038  1.7860229 ]
  [4]: [-2.09276658  0.78780781  0.78780781  1.8382181 ]
  [5]: [-1.88040762  0.61922792  0.61922792  2.16729803]
  [6]: [-1.94846307  0.31942017  0.31942017  2.23594123]
  [7]: [-1.97259441  0.          0.          2.26028124]
  [8]: [-1.7794744  -0.88521195 -0.88521195  2.06549521]
  [9]: [-1.78602259 -0.99637209 -1.27573087  1.78602259]
  [10]: [-1.77951898 -1.27773427 -1.01686752  1.77951898]
  [11]: [-1.4990998  -1.3369661  -1.3369661   1.78262253]
  [12]: [-1.54204079 -1.58025242 -1.32174985  1.54204079]
  [13]: [-1.78925802  1.31346497  1.31346497  1.53237571]
  [14]: [-1.99672412  0.99510829  0.99510829  1.74143956]
  [15]: [-1.89539051 -1.07477541 -0.81230995  1.89539051]
  [16]: [-1.53111084 -1.29643079 -1.29643079  1.81500248]
  [17]: [-2.06766467  0.31705954  0.59076125  2.06766467]
  [18]: [-1.92605401 -0.44264879 -0.44264879  2.21324197]
  [19]: [ 1.68908817 -1.43143065 -1.43143065 -1.43143065]
  [20]: [ 1.43143065 -1.43143065 -1.68908817 -1.43143065]
  [21]: [ 0.99637205 -1.27573012 -1.78602287 -1.78602287]
  [22]: [ 0.57790642 -0.85376695 -1.99212276 -1.99212276]
  [23]: [ 0.56270402 -0.29616    -2.07312004 -2.07312004]
  [24]: [ 0.2689131   0.         -2.11278084 -2.11278084]
  [25]: [-0.03014908  0.30149558 -2.11047287 -2.11047287]
  [26]: [-0.57790637  0.85376691 -1.99212277 -1.99212277]
  [27]: [-1.11088794  1.11088794 -1.65906809 -1.94405479]
  [28]: [-1.27773427  1.01686752 -1.77951898 -1.77951898]
  [29]: [-1.43143065  1.43143065 -1.68908817 -1.43143065]
  [30]: [-1.32174985  1.58025242 -1.54204079 -1.54204079]
  [31]: [ 1.31346497 -1.31346497 -1.78925802 -1.53237571]
  [32]: [ 0.81231021 -1.07477566 -1.89539038 -1.89539038]
  [33]: [-1.07477563  0.81231017 -1.8953904  -1.8953904 ]
  [34]: [-1.18530729  1.44486445 -1.65942962 -1.65942962]
  [35]: [ 1.68908817 -1.43143065 -1.43143065  1.43143065]
  [36]: [ 1.19763294 -1.39396182 -1.67668509  1.67668509]
  [37]: [ 0.90144553 -1.65200787 -1.65200877  1.65200877]
  [38]: [ 0.68669928 -1.68606486 -1.68606486  1.68606486]
  [39]: [ 0.4587069  -1.71168416 -1.71168416  1.71168416]
  [40]: [ 0.22062373 -1.72736073 -1.72736071  1.72736071]
  [41]: [-0.02348034 -1.73199776 -1.73199776  1.73199776]
  [42]: [-0.51309474 -1.51219338 -1.79582919  1.79582919]
  [43]: [-0.7444026  -1.67788207 -1.67788207  1.67788207]
  [44]: [-0.89343421 -1.82006848 -1.56350984  1.56350984]
  [45]: [-1.40423019 -1.44603489 -1.44603489  1.68703994]
  [46]: [ 0.98561562 -1.44169939 -1.72482821  1.72482821]
  [47]: [ 0.36175525 -1.52504502 -1.80878009  1.80878009]
  [48]: [-0.22071001 -1.72735705 -1.72735705  1.72735705]
  [49]: [-0.96609    -1.63978353 -1.63978353  1.63978353]
  [50]: [-1.68908817  1.43143065  1.43143065 -1.43143065]
  [51]: [-1.39396277  1.67668514  1.67668423 -1.19763297]
  [52]: [-1.65200877  1.65200877  1.65200787 -0.90144553]
  [53]: [-1.68606486  1.68606486  1.68606486 -0.68669928]
  [54]: [-1.71168416  1.71168416  1.71168416 -0.4587069 ]
  [55]: [-1.72736071  1.72736071  1.72736073 -0.22062373]
  [56]: [-1.73199776  1.73199776  1.73199776  0.02348034]
  [57]: [-1.51219338  1.79582919  1.79582919  0.51309474]
  [58]: [-1.67788207  1.67788207  1.67788207  0.7444026 ]
  [59]: [-1.82006848  1.56350984  1.56350984  0.8934342 ]
  [60]: [-1.68704025  1.44603457  1.44603457  1.40423049]
  [61]: [-1.44169939  1.72482821  1.72482822 -0.98561562]
  [62]: [-1.88821996  1.63218635  1.63218635 -0.32643658]
  [63]: [-1.72735705  1.72735705  1.72735705  0.22071001]
  [64]: [-1.63978353  1.63978353  1.63978353  0.96609   ]
  [65]: [ 1.43143065  1.68908817  1.43143065 -1.43143065]
  [66]: [ 1.28368988  1.56547547  1.56547547 -1.56547547]
  [67]: [ 1.43736072  1.53003039  1.83455049 -1.10789245]
  [68]: [ 1.15604499  1.50184047  2.05558314 -1.08748018]
  [69]: [ 0.14749901  1.56213023  2.54964046 -0.19320131]
  [70]: [0.12344892 1.23773851 2.72566697 0.15330787]
  [71]: [-0.51773107  0.99247761  2.53594352  1.14714131]
  [72]: [-0.94412712  0.73425817  2.43699821  1.27692154]
  [73]: [-1.5526675   0.43476207  1.92907747  1.63672407]
  [74]: [ 1.35853137  1.45727361  1.79943125 -1.33895233]
  [75]: [ 0.38382971 -1.3512489  -2.61941966 -0.40674537]
  [76]: [-1.23990101  0.76117467  2.26516991  1.32373104]
  [77]: [ 1.01633929  1.567603    2.27139684 -0.59197269]
  [78]: [ 1.57779571  1.43498836 -1.57790141  1.40056996]
  [79]: [ 2.15077398  0.81675522 -1.71468204  0.87575552]
  [80]: [ 2.07180125 -1.31677163 -1.28897407 -1.14555571]
  [81]: [ 1.59860031 -1.63948211 -1.28944836 -1.44703089]
  [82]: [ 1.85296263  0.9213747  -1.9343184   0.98793245]
  [83]: [ 2.28637327  0.51152841 -1.77685238  0.59466933]
  [84]: [ 2.16181015 -0.61924772 -1.93371573 -0.45150041]
  [85]: [ 2.24753118 -1.00972892 -1.48794777 -0.8456137 ]
  [86]: [ 1.75305721 -1.47746991 -1.44627994 -1.28535887]
  [87]: [ 1.77756994  1.03611295 -1.89042635  1.09224689]
  [88]: [ 2.06873726  0.47462183 -2.03999515  0.57747731]
  [89]: [-1.58025242  1.32174985 -1.54204079 -1.54204079]
  [90]: [-1.51959871  1.17327335 -1.49755094 -1.75259538]
  [91]: [-1.74189948  1.04716885 -1.41477192 -1.69341195]
  [92]: [-1.68938919  0.83386383 -1.65262357 -1.64908175]
  [93]: [-1.72417035  0.66171589 -1.67413805 -1.66932037]
  [94]: [-1.75393341  0.47965794 -1.69031299 -1.6841876 ]
  [95]: [-1.63119791 -0.26732917 -1.77695087 -1.76356857]
  [96]: [-1.79590404 -0.51748716 -1.66561773 -1.65307389]
  [97]: [-1.58522827 -0.89999199 -1.69326103 -1.67628542]
  [98]: [-1.72474135 -1.09259177 -1.56208052 -1.54642004]
  [99]: [-1.73281185  1.30735545 -1.46478754 -1.46375623]
  [100]: [-1.65067607  0.99512909 -1.6267265  -1.6244222 ]
  [101]: [-1.62930663 -0.37611785 -1.7682395  -1.75420191]
  [102]: [-1.779701   -0.71643359 -1.63767925 -1.62400552]
  [103]: [-1.7755387   1.17246392 -1.49651779 -1.49439794]
  [104]: [-1.77764933  0.28877226 -1.7002722  -1.69282246]
  [105]: [ 1.87391125 -1.50067625  1.41065135  1.11646324]
  [106]: [ 1.78377793 -1.37222109  1.55548975  1.23109593]
  [107]: [ 1.17647654 -1.05642704  1.94034337  1.65376312]
  [108]: [ 1.22164317 -0.36737606  2.02343491  1.81061702]
  [109]: [ 0.99964372 -0.11041005  2.10625742  1.88472855]
  [110]: [0.63941305 0.37235255 2.13765553 1.97051602]
  [111]: [0.54030731 0.56842681 2.10168911 1.99194926]
  [112]: [0.27134078 0.82783824 2.08357669 1.97478258]
  [113]: [0.09776577 1.03077878 2.03076584 1.95036588]
  [114]: [-0.33386082  0.9771083   2.01897605  1.96406009]
  [115]: [ 1.59886637 -0.97172635  1.78477331  1.52117009]
  [116]: [0.10688823 0.83971394 1.9330092  2.13235336]
  [117]: [ 1.64614438 -1.0550729   1.73795649  1.46851528]
  [118]: [ 1.41753629 -0.6701742   1.92452871  1.68453158]
  [119]: [ 0.56507825 -0.14218718  2.17824268  1.97881991]
  [120]: [0.2952636  0.61321167 1.97966257 2.1488897 ]
  [121]: [-1.31196615  0.66808939 -0.82177406 -2.48134818]
  [122]: [-1.04733197  0.95545781 -0.83120935 -2.50983807]
  [123]: [ 0.82882983 -0.61032634  0.83306317  2.69194142]
  [124]: [ 0.24644462 -0.51144705  0.81459838  2.83092148]
  [125]: [-0.36749224 -0.88621885  0.73077514  2.74691341]
  [126]: [-0.63622378 -0.62696138  0.73629748  2.76767136]
  [127]: [-0.92637868 -0.54505036  0.69252131  2.71388225]
  [128]: [ 1.64793942  0.50265159 -0.50875632 -2.40266603]
  [129]: [ 1.86176962  0.16921702 -0.19697155 -2.33802945]
  [130]: [ 1.99799371  0.15839645 -0.43965104 -2.18852432]
  [131]: [ 0.75051694 -0.80269856  0.75435029  2.68762999]
  [132]: [ 1.67147537 -0.03184996 -0.5160224  -2.43698103]
  [133]: [-0.81208706  0.92492248 -0.83459381 -2.60547235]
  [134]: [-0.10667536 -0.64114879  0.75295904  2.83030056]
  [135]: [ 1.46522184  0.25001069 -0.53981745 -2.54935614]
  [136]: [-0.70845751 -1.66708064 -0.05750161  2.39073705]
  [137]: [-0.1440649  -1.57305521 -0.20836112  2.54191429]
  [138]: [-0.07368469 -1.43620838  0.08007394  2.63162767]
  [139]: [-0.32804175  1.35263337  0.02822533 -2.65743766]
  [140]: [-0.33958226  1.11981999 -0.25118069 -2.75092627]
  [141]: [-0.72254093  1.24868549 -0.28898313 -2.61442306]
  [142]: [-0.80710753  0.93986999 -0.412297   -2.7009689 ]
  [143]: [-0.88042087  0.89237746 -0.55583036 -2.66825302]
  [144]: [ 1.34355031 -0.80369238  0.51792565  2.50613331]
  [145]: [-0.47352242 -1.49800684 -0.0614522   2.55499034]
  [146]: [-0.21804919 -1.3963399   0.03810385  2.64598517]
  [147]: [-0.48216285  1.03694124 -0.30471017 -2.7567052 ]
  [148]: [-0.85455119  1.16370959 -0.33839982 -2.60787419]
  [149]: [-1.22910092  0.89494567 -0.47645901 -2.5419225 ]
  [150]: [-0.18253807 -1.71242607 -0.05906568  2.45576629]
  [151]: [-0.05731947  1.35612333 -0.24327052 -2.66429418]
  [152]: [-0.96990681  1.15864923 -0.47747055 -2.5473191 ]
  [153]: [ 2.65208773 -0.4672803   1.30632731  0.2039332 ]
  [154]: [-2.62404507  0.25102766 -1.43023765  0.07611064]
  [155]: [-2.69274733 -0.0390853  -1.32009438  0.07024932]
  [156]: [-2.71216165 -0.3050331  -1.19621282  0.34671156]
  [157]: [-2.63162551 -0.4889304  -1.06776954  0.83388396]
  [158]: [-2.76255609 -0.46176649 -0.73130867  0.7875552 ]
  [159]: [-2.65597242  0.49561476 -1.30206582  0.06928992]
  [160]: [-2.67260748 -0.03982585 -1.3083502   0.37921358]
  [161]: [-2.71719357 -0.18159687 -0.99188741  0.77462316]
  [162]: [-2.68667456 -0.06036507 -1.17295847  0.63427462]
  [163]: [ 1.01387934  1.39594374 -1.93590871  1.50852486]
  [164]: [-0.73497915 -1.22586292  2.40841843 -1.07544707]
  [165]: [ 1.2950875   1.01880814 -2.38986702  0.75717499]
  [166]: [ 1.09270638  1.07617212 -2.52442846  0.52450671]
  [167]: [-1.48547316 -0.02744167  2.47166435  0.82673564]
  [168]: [-1.12206653  0.47122912  2.09088499  1.77400952]
  [169]: [ 1.07477566 -0.81231021 -1.89539038 -1.89539038]
  [170]: [-1.18456478  0.9625804   1.55943644  2.05873826]
  [171]: [ 1.00870652 -1.20764192 -1.12839123 -2.29147232]
  [172]: [ 0.80609386  1.49832328 -2.07788967  1.33701704]
  [173]: [-0.69998947  1.01879463  1.65050676  2.17896757]
  [174]: [-1.24059127 -0.02776301  2.50060712  1.0986931 ]
  [175]: [ 0.87213777  1.81616872 -0.74495031  2.0942674 ]
  [176]: [ 1.97486402  0.01506211  0.73315727 -2.13592267]
  [177]: [-1.63188044 -0.01678967 -0.81725292  2.38092041]
  [178]: [ 2.45762065 -0.15674269 -0.2196463   1.69920216]
  [179]: [ 0.27653187 -2.72226327 -1.15928488 -0.41093962]
  [180]: [1.68908817 1.43143065 1.43143065 1.43143065]
  [181]: [-2.25162148  0.18060984  0.25309177 -1.95793905]
  [182]: [-0.54783154  2.55107997  1.47564035 -0.11982131]
  [183]: [0.26129082 2.7235133  1.15981719 0.4111283 ]
  [184]: [-1.5049593   0.51637769  1.80892969 -1.78779891]
  [185]: [ 1.68908817 -1.43143065  1.43143065 -1.43143065]
  [186]: [-2.15296237 -0.46245324 -1.86631155  0.81717271]
  [187]: [-1.48056906  1.75300838 -0.63866208  1.82400319]
  [188]: [ 0.66535813  1.15842935 -1.83785863  1.95898332]
  [189]: [-1.32429052 -2.26443708  1.45553404  0.        ]
  [190]: [-1.68908817  1.43143065 -1.43143065  1.43143065]
  [191]: [ 1.93102119 -1.87291519  0.68421379 -1.13806736]
  [192]: [-1.28368988 -1.56547547 -1.56547547 -1.56547547]
  [193]: [-1.54263739 -2.28061152  0.93073817 -0.74351021]
  [194]: [-0.47740495  2.04667148  0.59314583 -2.05703632]
  [195]: [ 0.85947695 -1.1969154  -2.27585926 -1.28419528]
  [196]: [2.64810111 0.         0.67790789 1.23612353]
  [197]: [ 2.76329746 -0.60960115 -0.8295884   0.5516853 ]
  [198]: [-2.27157488  1.30323845  1.16391414  0.88702929]
  [199]: [-1.08990346  0.43190642 -1.7383153  -2.1456531 ]
  [200]: [ 1.64127252 -1.52255989  1.43122221  1.39270918]
  [201]: [ 0.750044   -1.19297573 -2.62017892  0.38588251]
  [202]: [-1.56999956 -1.85421438  0.70706712 -1.61153545]
  [203]: [ 1.03849394 -0.62527107 -2.56432083  0.97715152]
  [204]: [ 0.77586165  1.35160521  0.99191101 -2.36375012]
  [205]: [ 1.5519974   0.84067077 -2.12254436 -1.17447101]
  [206]: [ 1.08409278 -1.88647106 -0.93987326 -1.83918678]
  [207]: [-1.54497943  2.0838068  -1.39972425  0.55817542]
  [208]: [ 0.2689131  -2.98792332  0.          0.        ]
  [209]: [ 1.65624349  0.06072715 -0.12323797 -2.49759527]
  [210]: [-1.07638913  1.12668713 -2.56356347 -0.01024197]
  [211]: [ 0.1186132  -1.27690473  2.57632659  0.84734086]
  [212]: [-0.42806432 -2.96930311  0.          0.        ]
  [213]: [-0.3343622  -1.54498732 -2.54783438 -0.0987727 ]
  [214]: [ 2.33856149  1.39124105  0.37369012 -1.20662099]
  [215]: [ 1.00079584  1.87458451 -1.18096511 -1.75774345]
  [216]: [-2.24744487 -0.88016742 -1.10935079 -1.39414407]
  [217]: [-1.28368988 -1.56547547  1.56547547 -1.56547547]
  [218]: [ 2.09072882 -0.76341715  1.61652079  1.19704128]
  [219]: [-0.99435245  1.85323523  2.07341872  0.5269888 ]
  [220]: [ 1.68908817  1.43143065 -1.43143065 -1.43143065]
  [221]: [-0.94204602  0.71561128 -1.77564409 -2.10891865]
  [222]: [-0.71510098 -0.52561349  2.36379466 -1.62013451]
  [223]: [-2.77206926  0.42578526  0.81727736 -0.68293239]
  [224]: [-2.11278084  0.         -0.2689131   2.11278084]
  [225]: [0.8228261  1.57215535 1.75363487 1.6661481 ]
  [226]: [-1.65484454 -2.40780161 -0.59018801 -0.34008685]
  [227]: [ 0.23017612 -1.69141278  0.64071254 -2.38235791]
  [228]: [1.78649259 1.21208317 0.75579428 1.94115266]
  [229]: [ 2.26419179 -0.46308001 -1.39406988  1.30979448]
  [230]: [-1.5855039  -1.49738303  1.57608576  1.32664053]
  [231]: [-0.02319335  0.96233457 -0.58198397  2.78112727]
  [232]: [-0.72923587 -1.79004789  2.29432857  0.        ]
  [233]: [ 1.84238705 -1.76698681  1.50439907  0.46920254]
  [234]: [-3.  0.  0.  0.]
  [235]: [ 2.71168897 -1.17541756 -0.51111859 -0.06240387]
  [236]: [ 0.99740044  1.91773322 -0.02925187 -2.08005673]
  [237]: [-0.14835388 -1.02713679 -2.372757   -1.51426727]
  [238]: [ 1.98240309  0.42496083 -0.83075714 -2.04922641]
  [239]: [-1.12911552  0.26373657  2.76206783  0.1628572 ]
  [240]: [-2.16000734  1.69505329 -1.14839616  0.37729153]
  [241]: [-0.54163778 -2.68785902 -1.1462551  -0.41005082]
  [242]: [-0.38593549 -1.46799165  2.33909677  1.10665288]
  [243]: [ 0.60941345  0.93375347  1.04947396 -2.57979149]
  [244]: [-1.2487433   0.60288356  2.64256695 -0.30661296]
  [245]: [-0.02319567  0.7173416  -1.70977757  2.35829253]
  [246]: [-2.32766356 -1.00219184  1.08501729  1.18335598]
  [247]: [-0.50530742  1.37984233 -0.31933675 -2.59590516]
  [248]: [ 0.73566297 -0.81075565 -2.488439   -1.26852143]
  [249]: [-1.75609415  0.31152022  0.51907729 -2.35576893]
  [250]: [ 0.43209972 -1.72493827 -1.28730416  2.04468232]
  [251]: [ 2.8583297  -0.00917846 -0.71990862 -0.55821022]
  [252]: [-0.0444996  -1.07829327 -0.33099519  2.77952255]
  [253]: [ 1.94567729 -0.6896019   1.8904422   1.07935971]
  [254]: [ 0.43704764 -0.80943516  1.9167404  -2.11657987]
  [255]: [ 2.95949668e+00  8.88178420e-16 -4.91303789e-01  8.88178420e-16]
  [256]: [-2.6809894   0.13371025 -1.2663789   0.43669427]
  [257]: [-1.06189352 -0.34380375 -2.47858992  1.26916238]
  [258]: [-0.50823207 -2.3304882   1.0068163  -1.51553484]
  [259]: [ 2.24944567 -0.96432773  1.37922236 -1.05252643]
  [260]: [ 0.68911715 -1.86623819 -1.5587696  -1.61632605]
  [261]: [-0.85795859  0.00942296 -0.6450773  -2.80137351]
  [262]: [-2.19641266 -1.45304624  0.29800198 -1.40556852]
  [263]: [ 2.28608798  1.11526427 -1.38591472 -0.78053041]
  [264]: [-1.45146298  2.05084926  0.39898039 -1.58999597]
  [265]: [-1.74434274  2.30886603 -0.1800424   0.77070799]
  [266]: [ 0.95863561 -0.91976817 -1.47406723  2.24992668]
  [267]: [ 2.19401732  1.46336193  0.65883535 -1.26917131]
  [268]: [0.2689131  0.         0.         2.98792332]
  [269]: [ 1.10502435 -1.82201587 -1.77356029  1.1461515 ]
  [270]: [ 1.86024001  0.83103963  2.19541056 -0.17044861]
  [271]: [-0.53798239 -1.22545063 -1.34955782  2.32110736]
  [272]: [-1.96714676 -1.103009   -0.32202837  1.95192277]
  [273]: [-2.70357014  1.04734675 -0.72060089  0.27296084]
  [274]: [ 0.13312497 -1.24457926  0.92310425  2.56538082]
  [275]: [ 1.01962092  1.47908236 -2.1552014  -1.06197714]
  [276]: [-0.68187812 -0.71945455 -2.5062417  -1.31764181]
  [277]: [-0.3455695  -1.32365041  2.04072463  1.72161968]
  [278]: [ 1.78495392  1.07456145 -1.66523827  1.37340407]
  [279]: [ 1.80403116  2.38724995 -0.21566001  0.        ]
  [280]: [0.87209294 2.369309   1.14704881 1.14459939]
  [281]: [ 1.84604618 -0.33341042 -2.16197385 -0.89823163]
  [282]: [-0.49348849 -2.41812681 -0.23124332  1.68986933]
  [283]: [ 1.91954005 -0.29375694 -0.39676353  2.25203276]
  [284]: [ 0.2689131   0.          0.         -2.98792332]
  [285]: [-0.36752088 -1.31680289 -2.48042421  0.98916849]
  [286]: [-1.25436132  1.3726278  -1.04650301  2.10886273]
  [287]: [ 0.6583824  -1.9925681   0.43872154 -2.09850623]
  [288]: [-1.5475045   1.21797858  2.20084479  0.52729519]
  [289]: [-1.2095511  -2.00031411 -1.78349881  0.59570261]
  [290]: [ 2.77325854  0.67791808  0.92164412 -0.00601958]
  [291]: [-0.74617629 -2.34743036 -0.49159813  1.64046424]
  [292]: [-1.92722989 -2.1516009   0.76639127 -0.26276019]
  [293]: [-1.91686084  1.64025791  1.61764111 -0.13577828]
  [294]: [-1.02268116 -1.15213189  1.59900205  2.01740125]
  [295]: [ 0.7024108  -0.39579663 -2.60280941  1.25512839]
  [296]: [1.46997501 0.47233017 0.01459648 2.57213231]
  [297]: [ 0.16223342 -2.37607487  1.30146718 -1.27833162]
  [298]: [-0.2404809  -1.71336448 -2.34661956 -0.70705568]
  [299]: [-0.63236416  1.96604389  2.17588117  0.01811441]
  [300]: [ 2.33981424  1.03538392 -0.02896939  1.56601731]
  [301]: [-1.05956937 -2.4916471  -0.40807133 -1.22575905]
  [302]: [ 2.73715331  0.69745796  0.12948844 -1.0023856 ]
  [303]: [-0.98497519  1.02885474  2.27960742  1.3321681 ]
  [304]: [-1.72089337 -1.00320547 -1.00320547  2.00641062]
  [305]: [ 0.70568905  1.10488821 -1.13753346 -2.44688427]
  [306]: [ 0.86737142  0.01358261  2.86341865 -0.21980894]
  [307]: [-0.52952318 -0.24171928  2.57810063 -1.41935695]
  [308]: [ 1.80826     0.28833819 -2.34820145 -0.36470101]
  [309]: [-2.56310642 -0.98450062 -0.411184    1.13673731]
  [310]: [ 1.54040794 -0.46417097 -0.67670869 -2.44003156]
  [311]: [-1.66356588 -2.09927099  1.16194025  0.68956853]
  [312]: [ 2.50661954  1.39481693 -0.31943907 -0.81810933]
  [313]: [ 1.0265602   0.84855713 -1.32234834  2.34041018]
  [314]: [ 0.60369877 -1.99778922 -0.90149821  1.95746954]
  [315]: [ 0.03000007 -1.44895901  2.59269057 -0.42139457]
  [316]: [-0.45934028 -1.39509068 -0.76544825  2.50136312]
  [317]: [ 0.92784944  0.25843865 -0.9007715  -2.69460861]
  [318]: [ 1.55232565 -1.0440791  -2.28479551 -0.52904952]
  [319]: [ 0.85988463 -1.25817918  2.27645064  1.22284752]
  [320]: [ 1.3746386   0.14399496  1.62195856 -2.11160712]
  [321]: [-0.25212513  2.19899566 -0.11204404  2.02195379]
  [322]: [-0.90418569  0.7933565   1.30834302 -2.41687241]
  [323]: [-0.8068269   1.55282023 -2.42397677 -0.2492314 ]
  [324]: [1.13294986 1.6513408  1.88450787 1.19921985]
  [325]: [-0.31592679 -1.24520399  2.57332109 -0.8530392 ]
  [326]: [-1.13818946  0.48373251  1.56402342 -2.24150806]
  [327]: [-1.04818034  0.24198483 -2.5117792  -1.23843715]
  [328]: [-2.18482945 -0.72353029  0.73596631  1.77802637]
  [329]: [-1.09939422  1.48206206  2.29245127  0.58265903]
  [330]: [ 0.30785348 -0.99853598 -1.01418585  2.62289519]
  [331]: [ 2.36905972  1.24865707  0.80542474 -1.08614113]
  [332]: [-2.63058269  1.08591682  0.34575587 -0.88389607]
  [333]: [-2.32832692 -0.84664526 -1.3652101   0.99914311]
  [334]: [ 0.53644226 -0.76133588 -1.98053378  2.05184876]
  [335]: [-0.79200535 -2.25001528  0.54098706 -1.73709291]
  [336]: [-1.40601    -1.24075205  0.40844868  2.30582738]
  [337]: [ 0.67501556  1.52391642  2.48726956 -0.1884751 ]
  [338]: [ 1.63998343  0.03340446 -2.48208234 -0.38549415]
  [339]: [1.75784432 0.87055381 1.54191734 1.66571617]
  [340]: [ 0.62342301 -2.46952751 -0.93177942  1.28240584]
  [341]: [-1.09064304  1.94081582 -1.95970788  0.4508622 ]
  [342]: [-1.85436853  0.13729932  2.3542443   0.        ]
  [343]: [-2.54624551 -1.5852386   0.06043492  0.        ]
  [344]: [ 0.29330403 -2.8649563   0.24317682 -0.80427806]
  [345]: [ 1.92996833 -0.47812716 -2.19927821  0.45803056]
  [346]: [ 1.5119329   0.02892024 -0.5577481  -2.53024497]
  [347]: [-1.65111464 -1.25516114  2.02534768 -0.77224201]
  [348]: [-1.70182262  0.2689131   0.22378732 -2.44569106]
  [349]: [ 1.61778682 -1.03680485 -1.46122367 -1.78118693]
  [350]: [ 2.54464906  0.7646742  -0.93392007  1.03335755]
  [351]: [-2.06796335 -1.30568453  0.03043343 -1.73717855]
  [352]: [-1.29395393 -1.77011623  1.56646593  1.31854322]
  [353]: [-1.14311647 -0.80452937 -1.1774025   2.37902093]
  [354]: [ 0.58469109  2.28984938 -0.24661028 -1.83136821]
  [355]: [ 1.65151804 -2.05792888 -1.41975819  0.14732129]
  [356]: [0.18574489 2.56922299 1.52167022 0.22161189]
  [357]: [ 1.04688762  1.42779237  2.26805153 -0.84933948]
  [358]: [-0.95217837 -1.89266199 -1.62956222 -1.3622459 ]
  [359]: [ 2.00988422  1.60788881 -1.41847499  0.6024846 ]
  [360]: [ 1.05109562 -0.31843551  1.58206138  2.30019099]
  [361]: [ 1.1019417  -1.88870429 -1.71389235 -1.13185405]
  [362]: [-0.79689422 -1.49660309 -2.17770826 -1.17589349]
  [363]: [ 1.68908817  1.43143065  1.43143065 -1.43143065]
  [364]: [ 1.47703465  1.70577473  0.08062264 -1.975399  ]
  [365]: [ 1.94317642 -1.10963272 -0.45293184 -1.94618432]
  [366]: [ 1.52126691  2.14719237 -0.90581751  1.12018149]
  [367]: [-1.33813404  0.33326275  0.72539799 -2.56361678]
  [368]: [ 1.61844436 -0.49891165  1.42410551 -2.02574641]
  [369]: [-2.25580623  0.12640621  1.15869955 -1.59774062]
  [370]: [ 1.42492371 -1.97100676  0.63303914  1.63828759]
  [371]: [ 0.44325447  1.34008114 -0.59466702  2.57955018]
  [372]: [ 1.23755312 -2.05144068 -1.1547507   1.3880217 ]
  [373]: [ 0.473676    0.96988037  2.31464126 -1.57397553]
  [374]: [ 0.21019897  2.47351736  0.57119215 -1.58469801]
  [375]: [ 1.36978348 -0.24550688  2.44857281 -1.03339768]
  [376]: [-2.31071625 -1.82923706 -0.42941877 -0.36066838]
  [377]: [ 2.01325429 -1.87107489 -1.19114242 -0.16451638]
  [378]: [-0.54271635 -2.32467242  0.28336909 -1.79473092]
  [379]: [-2.4613787   0.3737527  -0.59646544 -1.56401816]
  [380]: [-0.16341167 -1.01497117 -0.33276963 -2.79864155]
  [381]: [ 1.76310876 -1.67925327  1.6730995   0.52181801]
  [382]: [-0.83774295  2.06731095  2.00602425  0.01670034]
  [383]: [-1.00257309 -0.29885559 -0.06180017  2.81099863]
  [384]: [ 2.62389959 -0.90919599  1.10182507  0.27293795]
  [385]: [-0.39411613 -1.62742451  1.12917942  2.2183588 ]
  [386]: [0.80819188 0.65596786 0.88983224 2.66921911]
  [387]: [ 1.85886492  0.93596304  2.03727212 -0.71980323]
  [388]: [2.00557537 2.00301511 0.82568691 0.53276545]
  [389]: [ 1.24612218  1.26747434 -1.38551473 -1.98016091]
  [390]: [ 0.37456261  2.35276862  1.57874496 -0.91200166]
  [391]: [ 1.26331372  1.62530943 -2.15740552  0.32864741]
  [392]: [ 2.43204137 -1.2140011  -0.2974813   1.23405063]
  [393]: [ 0.12124482 -1.74147029  0.86571704 -2.28103375]
  [394]: [-1.68703994 -1.44603489 -1.44603489  1.40423019]
  [395]: [ 1.92981152 -2.06239699 -0.99518945  0.17872912]
  [396]: [-0.84877732  0.11645683 -0.79496312 -2.7629782 ]
  [397]: [ 1.02025592 -1.72412746 -2.20510472 -0.35210159]
  [398]: [ 0.25893537 -1.72493914  2.44031953 -0.04876531]
  [399]: [-1.82926909 -0.51265082  1.9734694   1.22326703]
  [400]: [ 2.94005075e+00  8.88178420e-16 -5.32717472e-01  2.68912054e-01]
  [401]: [ 0.72631602  0.17246312  2.83479577 -0.63769463]
  [402]: [ 0.44179322  1.84143239 -2.12287405  0.95254987]
  [403]: [ 2.60637873  0.89545833 -0.7983455  -0.87612142]
  [404]: [ 0.45251121  0.76731881  2.25890814 -1.76175749]
  [405]: [-0.4888669   0.67228429  1.5009885   2.46090969]
  [406]: [ 0.30071932 -1.59245231 -2.23441331  1.17518538]
  [407]: [-2.00075886  0.39618796  2.19999979  0.        ]
  [408]: [-1.85422304 -1.5699899   0.70706691 -1.61153498]
  [409]: [-2.55082878  1.32461452  0.06365277 -0.85709815]
  [410]: [ 0.         -2.24981792 -1.97055303 -0.23503207]
  [411]: [ 1.58579289 -1.87622434  1.18835902  1.24613241]
  [412]: [ 0.          0.30689069  2.09079021 -2.12941645]
  [413]: [-0.54881267  1.63351635  1.34521241  2.05446649]
  [414]: [-0.46052574  2.39840731 -1.73112088 -0.1969236 ]
  [415]: [-1.32642771 -2.33111627 -1.07421396  0.80780618]
  [416]: [0.67714699 0.90455509 2.75742541 0.34620394]
  [417]: [ 2.95917299 -0.41707391 -0.21420077  0.15317504]
  [418]: [ 2.03577371  0.72398706 -1.12369871 -1.75179033]
  [419]: [2.17502035 1.81467729 0.53928471 0.82789179]
  [420]: [ 0.90284116  0.43565346 -2.73836099 -0.70460131]
  [421]: [-0.11568814 -2.38189178 -1.14536227  1.41469186]
  [422]: [ 1.80459693  0.03425563  2.37311052 -0.3325702 ]
  [423]: [-1.4858006  -2.34937311  1.08783395  0.29909845]
  [424]: [ 1.62009147 -1.9336105  -0.1666458  -1.61514186]
  [425]: [ 2.05529635 -0.19490504 -2.07528154  0.65648723]
  [426]: [-0.99373052  0.64292439  1.43543758  2.35343724]
  [427]: [-0.52400911 -1.29201765  0.50380037 -2.60812002]
  [428]: [ 0.38135327 -2.0061752  -1.33782707 -1.74357376]
  [429]: [-1.44486445  1.18530729 -1.65942962 -1.65942962]
  [430]: [ 1.51276426 -1.79346928  1.86514639  0.12744096]
  [431]: [ 1.80664211  1.0035816  -1.63664363 -1.43187495]

DISTANCES (found -> nearest true):
  Found[0] -> True[0]: dist = 5.140563
  Found[1] -> True[0]: dist = 5.195633
  Found[2] -> True[0]: dist = 5.418454
  Found[3] -> True[0]: dist = 5.358744
  Found[4] -> True[0]: dist = 5.527802
  Found[5] -> True[0]: dist = 5.411326
  Found[6] -> True[0]: dist = 5.448925
  Found[7] -> True[0]: dist = 5.462194
  Found[8] -> True[0]: dist = 5.355077
  Found[9] -> True[0]: dist = 5.358744
  Found[10] -> True[0]: dist = 5.355102
  Found[11] -> True[0]: dist = 5.195633
  Found[12] -> True[0]: dist = 5.220368
  Found[13] -> True[0]: dist = 5.360555
  Found[14] -> True[0]: dist = 5.475431
  Found[15] -> True[0]: dist = 5.419626
  Found[16] -> True[0]: dist = 5.214083
  Found[17] -> True[0]: dist = 5.514162
  Found[18] -> True[0]: dist = 5.436573
  Found[19] -> True[0]: dist = 2.804545
  Found[20] -> True[0]: dist = 3.067803
  Found[21] -> True[0]: dist = 3.467242
  Found[22] -> True[0]: dist = 3.812160
  Found[23] -> True[0]: dist = 3.824105
  Found[24] -> True[0]: dist = 4.048027
  Found[25] -> True[0]: dist = 4.263906
  Found[26] -> True[0]: dist = 4.633297
  Found[27] -> True[0]: dist = 4.966420
  Found[28] -> True[0]: dist = 5.066202
  Found[29] -> True[0]: dist = 5.156412
  Found[30] -> True[0]: dist = 5.092200
  Found[31] -> True[0]: dist = 3.181071
  Found[32] -> True[0]: dist = 3.623001
  Found[33] -> True[0]: dist = 4.944558
  Found[34] -> True[0]: dist = 5.011172
  Found[35] -> True[0]: dist = 2.804545
  Found[36] -> True[0]: dist = 3.288495
  Found[37] -> True[0]: dist = 3.548426
  Found[38] -> True[0]: dist = 3.725561
  Found[39] -> True[0]: dist = 3.904838
  Found[40] -> True[0]: dist = 4.083657
  Found[41] -> True[0]: dist = 4.259211
  Found[42] -> True[0]: dist = 4.591140
  Found[43] -> True[0]: dist = 4.739875
  Found[44] -> True[0]: dist = 4.833281
  Found[45] -> True[0]: dist = 5.140562
  Found[46] -> True[0]: dist = 3.476537
  Found[47] -> True[0]: dist = 3.978626
  Found[48] -> True[0]: dist = 4.395937
  Found[49] -> True[0]: dist = 4.878170
  Found[50] -> True[0]: dist = 5.304199
  Found[51] -> True[0]: dist = 5.134567
  Found[52] -> True[0]: dist = 5.283186
  Found[53] -> True[0]: dist = 5.302489
  Found[54] -> True[0]: dist = 5.316964
  Found[55] -> True[0]: dist = 5.325802
  Found[56] -> True[0]: dist = 5.328413
  Found[57] -> True[0]: dist = 5.203188
  Found[58] -> True[0]: dist = 5.297857
  Found[59] -> True[0]: dist = 5.377770
  Found[60] -> True[0]: dist = 5.303041
  Found[61] -> True[0]: dist = 5.162383
  Found[62] -> True[0]: dist = 5.415655
  Found[63] -> True[0]: dist = 5.325800
  Found[64] -> True[0]: dist = 5.276239
  Found[65] -> True[0]: dist = 3.067803
  Found[66] -> True[0]: dist = 3.209028
  Found[67] -> True[0]: dist = 3.061999
  Found[68] -> True[0]: dist = 3.326219
  Found[69] -> True[0]: dist = 4.137029
  Found[70] -> True[0]: dist = 4.154432
  Found[71] -> True[0]: dist = 4.594169
  Found[72] -> True[0]: dist = 4.864644
  Found[73] -> True[0]: dist = 5.226472
  Found[74] -> True[0]: dist = 3.138282
  Found[75] -> True[0]: dist = 3.961947
  Found[76] -> True[0]: dist = 5.043749
  Found[77] -> True[0]: dist = 3.449922
  Found[78] -> True[0]: dist = 2.921169
  Found[79] -> True[0]: dist = 2.257290
  Found[80] -> True[0]: dist = 2.359914
  Found[81] -> True[0]: dist = 2.899724
  Found[82] -> True[0]: dist = 2.623399
  Found[83] -> True[0]: dist = 2.069242
  Found[84] -> True[0]: dist = 2.242574
  Found[85] -> True[0]: dist = 2.124809
  Found[86] -> True[0]: dist = 2.735262
  Found[87] -> True[0]: dist = 2.708243
  Found[88] -> True[0]: dist = 2.363805
  Found[89] -> True[0]: dist = 5.242281
  Found[90] -> True[0]: dist = 5.207455
  Found[91] -> True[0]: dist = 5.333985
  Found[92] -> True[0]: dist = 5.304369
  Found[93] -> True[0]: dist = 5.324004
  Found[94] -> True[0]: dist = 5.340749
  Found[95] -> True[0]: dist = 5.271355
  Found[96] -> True[0]: dist = 5.364273
  Found[97] -> True[0]: dist = 5.245128
  Found[98] -> True[0]: dist = 5.324326
  Found[99] -> True[0]: dist = 5.328871
  Found[100] -> True[0]: dist = 5.282429
  Found[101] -> True[0]: dist = 5.270279
  Found[102] -> True[0]: dist = 5.355204
  Found[103] -> True[0]: dist = 5.352871
  Found[104] -> True[0]: dist = 5.354054
  Found[105] -> True[0]: dist = 2.599333
  Found[106] -> True[0]: dist = 2.701358
  Found[107] -> True[0]: dist = 3.307740
  Found[108] -> True[0]: dist = 3.266518
  Found[109] -> True[0]: dist = 3.464410
  Found[110] -> True[0]: dist = 3.763445
  Found[111] -> True[0]: dist = 3.841635
  Found[112] -> True[0]: dist = 4.046227
  Found[113] -> True[0]: dist = 4.172937
  Found[114] -> True[0]: dist = 4.472490
  Found[115] -> True[0]: dist = 2.899449
  Found[116] -> True[0]: dist = 4.166374
  Found[117] -> True[0]: dist = 2.850111
  Found[118] -> True[0]: dist = 3.081360
  Found[119] -> True[0]: dist = 3.822242
  Found[120] -> True[0]: dist = 4.028451
  Found[121] -> True[0]: dist = 5.086433
  Found[122] -> True[0]: dist = 4.927879
  Found[123] -> True[0]: dist = 3.609296
  Found[124] -> True[0]: dist = 4.064644
  Found[125] -> True[0]: dist = 4.494992
  Found[126] -> True[0]: dist = 4.670904
  Found[127] -> True[0]: dist = 4.853686
  Found[128] -> True[0]: dist = 2.848221
  Found[129] -> True[0]: dist = 2.613309
  Found[130] -> True[0]: dist = 2.451946
  Found[131] -> True[0]: dist = 3.673813
  Found[132] -> True[0]: dist = 2.823322
  Found[133] -> True[0]: dist = 4.782523
  Found[134] -> True[0]: dist = 4.317413
  Found[135] -> True[0]: dist = 3.034579
  Found[136] -> True[0]: dist = 4.717070
  Found[137] -> True[0]: dist = 4.343315
  Found[138] -> True[0]: dist = 4.294428
  Found[139] -> True[0]: dist = 4.468585
  Found[140] -> True[0]: dist = 4.476326
  Found[141] -> True[0]: dist = 4.726018
  Found[142] -> True[0]: dist = 4.779398
  Found[143] -> True[0]: dist = 4.825197
  Found[144] -> True[0]: dist = 3.152570
  Found[145] -> True[0]: dist = 4.565209
  Found[146] -> True[0]: dist = 4.394121
  Found[147] -> True[0]: dist = 4.570884
  Found[148] -> True[0]: dist = 4.809086
  Found[149] -> True[0]: dist = 5.037321
  Found[150] -> True[0]: dist = 4.369809
  Found[151] -> True[0]: dist = 4.282980
  Found[152] -> True[0]: dist = 4.880516
  Found[153] -> True[0]: dist = 1.444809
  Found[154] -> True[0]: dist = 5.808982
  Found[155] -> True[0]: dist = 5.844355
  Found[156] -> True[0]: dist = 5.854312
  Found[157] -> True[0]: dist = 5.812895
  Found[158] -> True[0]: dist = 5.880080
  Found[159] -> True[0]: dist = 5.825447
  Found[160] -> True[0]: dist = 5.834008
  Found[161] -> True[0]: dist = 5.856890
  Found[162] -> True[0]: dist = 5.841237
  Found[163] -> True[0]: dist = 3.452061
  Found[164] -> True[0]: dist = 4.733907
  Found[165] -> True[0]: dist = 3.198355
  Found[166] -> True[0]: dist = 3.382863
  Found[167] -> True[0]: dist = 5.187759
  Found[168] -> True[0]: dist = 4.973168
  Found[169] -> True[0]: dist = 3.398727
  Found[170] -> True[0]: dist = 5.010727
  Found[171] -> True[0]: dist = 3.456553
  Found[172] -> True[0]: dist = 3.628145
  Found[173] -> True[0]: dist = 4.711681
  Found[174] -> True[0]: dist = 5.044160
  Found[175] -> True[0]: dist = 3.573118
  Found[176] -> True[0]: dist = 2.480084
  Found[177] -> True[0]: dist = 5.271744
  Found[178] -> True[0]: dist = 1.803961
  Found[179] -> True[0]: dist = 4.042377
  Found[180] -> True[0]: dist = 2.804545
  Found[181] -> True[0]: dist = 5.613353
  Found[182] -> True[0]: dist = 4.613783
  Found[183] -> True[0]: dist = 4.053672
  Found[184] -> True[0]: dist = 5.199015
  Found[185] -> True[0]: dist = 2.804545
  Found[186] -> True[0]: dist = 5.560375
  Found[187] -> True[0]: dist = 5.184922
  Found[188] -> True[0]: dist = 3.742706
  Found[189] -> True[0]: dist = 5.093696
  Found[190] -> True[0]: dist = 5.304199
  Found[191] -> True[0]: dist = 2.532563
  Found[192] -> True[0]: dist = 5.069728
  Found[193] -> True[0]: dist = 5.220711
  Found[194] -> True[0]: dist = 4.567760
  Found[195] -> True[0]: dist = 3.583732
  Found[196] -> True[0]: dist = 1.453063
  Found[197] -> True[0]: dist = 1.191728
  Found[198] -> True[0]: dist = 5.624007
  Found[199] -> True[0]: dist = 4.953728
  Found[200] -> True[0]: dist = 2.855235
  Found[201] -> True[0]: dist = 3.674199
  Found[202] -> True[0]: dist = 5.236411
  Found[203] -> True[0]: dist = 3.430603
  Found[204] -> True[0]: dist = 3.653058
  Found[205] -> True[0]: dist = 2.947544
  Found[206] -> True[0]: dist = 3.390493
  Found[207] -> True[0]: dist = 5.222057
  Found[208] -> True[0]: dist = 4.048027
  Found[209] -> True[0]: dist = 2.839461
  Found[210] -> True[0]: dist = 4.945537
  Found[211] -> True[0]: dist = 4.157923
  Found[212] -> True[0]: dist = 4.535238
  Found[213] -> True[0]: dist = 4.472826
  Found[214] -> True[0]: dist = 1.992142
  Found[215] -> True[0]: dist = 3.463412
  Found[216] -> True[0]: dist = 5.611120
  Found[217] -> True[0]: dist = 5.069728
  Found[218] -> True[0]: dist = 2.335728
  Found[219] -> True[0]: dist = 4.895520
  Found[220] -> True[0]: dist = 2.804545
  Found[221] -> True[0]: dist = 4.863361
  Found[222] -> True[0]: dist = 4.721293
  Found[223] -> True[0]: dist = 5.884931
  Found[224] -> True[0]: dist = 5.538654
  Found[225] -> True[0]: dist = 3.614283
  Found[226] -> True[0]: dist = 5.284796
  Found[227] -> True[0]: dist = 4.076634
  Found[228] -> True[0]: dist = 2.698341
  Found[229] -> True[0]: dist = 2.101154
  Found[230] -> True[0]: dist = 5.245286
  Found[231] -> True[0]: dist = 4.259009
  Found[232] -> True[0]: dist = 4.730266
  Found[233] -> True[0]: dist = 2.635465
  Found[234] -> True[0]: dist = 6.000000
  Found[235] -> True[0]: dist = 1.315244
  Found[236] -> True[0]: dist = 3.466352
  Found[237] -> True[0]: dist = 4.346277
  Found[238] -> True[0]: dist = 2.470947
  Found[239] -> True[0]: dist = 4.977418
  Found[240] -> True[0]: dist = 5.564175
  Found[241] -> True[0]: dist = 4.609753
  Found[242] -> True[0]: dist = 4.507284
  Found[243] -> True[0]: dist = 3.787284
  Found[244] -> True[0]: dist = 5.049006
  Found[245] -> True[0]: dist = 4.259011
  Found[246] -> True[0]: dist = 5.653847
  Found[247] -> True[0]: dist = 4.586049
  Found[248] -> True[0]: dist = 3.685922
  Found[249] -> True[0]: dist = 5.341963
  Found[250] -> True[0]: dist = 3.925226
  Found[251] -> True[0]: dist = 0.921966
  Found[252] -> True[0]: dist = 4.273991
  Found[253] -> True[0]: dist = 2.515141
  Found[254] -> True[0]: dist = 3.921443
  Found[255] -> True[0]: dist = 0.492971
  Found[256] -> True[0]: dist = 5.838316
  Found[257] -> True[0]: dist = 4.936736
  Found[258] -> True[0]: dist = 4.587962
  Found[259] -> True[0]: dist = 2.122104
  Found[260] -> True[0]: dist = 3.723613
  Found[261] -> True[0]: dist = 4.811211
  Found[262] -> True[0]: dist = 5.583769
  Found[263] -> True[0]: dist = 2.069655
  Found[264] -> True[0]: dist = 5.168054
  Found[265] -> True[0]: dist = 5.335359
  Found[266] -> True[0]: dist = 3.499741
  Found[267] -> True[0]: dist = 2.199067
  Found[268] -> True[0]: dist = 4.048027
  Found[269] -> True[0]: dist = 3.371921
  Found[270] -> True[0]: dist = 2.615064
  Found[271] -> True[0]: dist = 4.607374
  Found[272] -> True[0]: dist = 5.459201
  Found[273] -> True[0]: dist = 5.849908
  Found[274] -> True[0]: dist = 4.147439
  Found[275] -> True[0]: dist = 3.447068
  Found[276] -> True[0]: dist = 4.700135
  Found[277] -> True[0]: dist = 4.480337
  Found[278] -> True[0]: dist = 2.700051
  Found[279] -> True[0]: dist = 2.678771
  Found[280] -> True[0]: dist = 3.573156
  Found[281] -> True[0]: dist = 2.631297
  Found[282] -> True[0]: dist = 4.578311
  Found[283] -> True[0]: dist = 2.546126
  Found[284] -> True[0]: dist = 4.048027
  Found[285] -> True[0]: dist = 4.495011
  Found[286] -> True[0]: dist = 5.052343
  Found[287] -> True[0]: dist = 3.748294
  Found[288] -> True[0]: dist = 5.223507
  Found[289] -> True[0]: dist = 5.025665
  Found[290] -> True[0]: dist = 1.166383
  Found[291] -> True[0]: dist = 4.740998
  Found[292] -> True[0]: dist = 5.437222
  Found[293] -> True[0]: dist = 5.431497
  Found[294] -> True[0]: dist = 4.912849
  Found[295] -> True[0]: dist = 3.712888
  Found[296] -> True[0]: dist = 3.029876
  Found[297] -> True[0]: dist = 4.126330
  Found[298] -> True[0]: dist = 4.409409
  Found[299] -> True[0]: dist = 4.668424
  Found[300] -> True[0]: dist = 1.990255
  Found[301] -> True[0]: dist = 4.935323
  Found[302] -> True[0]: dist = 1.255819
  Found[303] -> True[0]: dist = 4.889770
  Found[304] -> True[0]: dist = 5.322157
  Found[305] -> True[0]: dist = 3.710238
  Found[306] -> True[0]: dist = 3.577118
  Found[307] -> True[0]: dist = 4.601863
  Found[308] -> True[0]: dist = 2.674031
  Found[309] -> True[0]: dist = 5.777425
  Found[310] -> True[0]: dist = 2.959316
  Found[311] -> True[0]: dist = 5.289744
  Found[312] -> True[0]: dist = 1.720547
  Found[313] -> True[0]: dist = 3.441023
  Found[314] -> True[0]: dist = 3.791808
  Found[315] -> True[0]: dist = 4.221374
  Found[316] -> True[0]: dist = 4.555880
  Found[317] -> True[0]: dist = 3.526032
  Found[318] -> True[0]: dist = 2.947210
  Found[319] -> True[0]: dist = 3.583391
  Found[320] -> True[0]: dist = 3.122846
  Found[321] -> True[0]: dist = 4.417324
  Found[322] -> True[0]: dist = 4.839950
  Found[323] -> True[0]: dist = 4.779222
  Found[324] -> True[0]: dist = 3.346984
  Found[325] -> True[0]: dist = 4.460444
  Found[326] -> True[0]: dist = 4.982884
  Found[327] -> True[0]: dist = 4.928395
  Found[328] -> True[0]: dist = 5.577542
  Found[329] -> True[0]: dist = 4.959472
  Found[330] -> True[0]: dist = 4.019064
  Found[331] -> True[0]: dist = 1.945673
  Found[332] -> True[0]: dist = 5.812357
  Found[333] -> True[0]: dist = 5.654199
  Found[334] -> True[0]: dist = 3.844652
  Found[335] -> True[0]: dist = 4.769909
  Found[336] -> True[0]: dist = 5.141601
  Found[337] -> True[0]: dist = 3.734957
  Found[338] -> True[0]: dist = 2.856589
  Found[339] -> True[0]: dist = 2.730006
  Found[340] -> True[0]: dist = 3.776170
  Found[341] -> True[0]: dist = 4.954176
  Found[342] -> True[0]: dist = 5.396871
  Found[343] -> True[0]: dist = 5.768663
  Found[344] -> True[0]: dist = 4.029910
  Found[345] -> True[0]: dist = 2.533809
  Found[346] -> True[0]: dist = 2.988043
  Found[347] -> True[0]: dist = 5.282678
  Found[348] -> True[0]: dist = 5.311397
  Found[349] -> True[0]: dist = 2.879805
  Found[350] -> True[0]: dist = 1.652908
  Found[351] -> True[0]: dist = 5.514325
  Found[352] -> True[0]: dist = 5.075798
  Found[353] -> True[0]: dist = 4.985850
  Found[354] -> True[0]: dist = 3.806817
  Found[355] -> True[0]: dist = 2.844449
  Found[356] -> True[0]: dist = 4.109201
  Found[357] -> True[0]: dist = 3.423255
  Found[358] -> True[0]: dist = 4.869607
  Found[359] -> True[0]: dist = 2.437354
  Found[360] -> True[0]: dist = 3.419565
  Found[361] -> True[0]: dist = 3.374663
  Found[362] -> True[0]: dist = 4.772983
  Found[363] -> True[0]: dist = 2.804545
  Found[364] -> True[0]: dist = 3.022878
  Found[365] -> True[0]: dist = 2.518123
  Found[366] -> True[0]: dist = 2.978657
  Found[367] -> True[0]: dist = 5.101843
  Found[368] -> True[0]: dist = 2.879120
  Found[369] -> True[0]: dist = 5.615589
  Found[370] -> True[0]: dist = 3.074160
  Found[371] -> True[0]: dist = 3.916692
  Found[372] -> True[0]: dist = 3.251874
  Found[373] -> True[0]: dist = 3.893320
  Found[374] -> True[0]: dist = 4.091309
  Found[375] -> True[0]: dist = 3.127507
  Found[376] -> True[0]: dist = 5.644847
  Found[377] -> True[0]: dist = 2.433202
  Found[378] -> True[0]: dist = 4.610455
  Found[379] -> True[0]: dist = 5.724358
  Found[380] -> True[0]: dist = 4.356658
  Found[381] -> True[0]: dist = 2.724215
  Found[382] -> True[0]: dist = 4.798589
  Found[383] -> True[0]: dist = 4.900555
  Found[384] -> True[0]: dist = 1.502199
  Found[385] -> True[0]: dist = 4.512726
  Found[386] -> True[0]: dist = 3.626410
  Found[387] -> True[0]: dist = 2.616641
  Found[388] -> True[0]: dist = 2.442652
  Found[389] -> True[0]: dist = 3.243959
  Found[390] -> True[0]: dist = 3.968958
  Found[391] -> True[0]: dist = 3.228021
  Found[392] -> True[0]: dist = 1.846010
  Found[393] -> True[0]: dist = 4.156023
  Found[394] -> True[0]: dist = 5.303041
  Found[395] -> True[0]: dist = 2.533995
  Found[396] -> True[0]: dist = 4.805483
  Found[397] -> True[0]: dist = 3.446515
  Found[398] -> True[0]: dist = 4.055415
  Found[399] -> True[0]: dist = 5.382900
  Found[400] -> True[0]: dist = 0.599746
  Found[401] -> True[0]: dist = 3.693522
  Found[402] -> True[0]: dist = 3.917811
  Found[403] -> True[0]: dist = 1.536791
  Found[404] -> True[0]: dist = 3.909595
  Found[405] -> True[0]: dist = 4.575282
  Found[406] -> True[0]: dist = 4.024386
  Found[407] -> True[0]: dist = 5.477641
  Found[408] -> True[0]: dist = 5.396790
  Found[409] -> True[0]: dist = 5.771046
  Found[410] -> True[0]: dist = 4.242641
  Found[411] -> True[0]: dist = 2.912944
  Found[412] -> True[0]: dist = 4.242641
  Found[413] -> True[0]: dist = 4.614420
  Found[414] -> True[0]: dist = 4.556660
  Found[415] -> True[0]: dist = 5.094955
  Found[416] -> True[0]: dist = 3.733245
  Found[417] -> True[0]: dist = 0.494936
  Found[418] -> True[0]: dist = 2.405277
  Found[419] -> True[0]: dist = 2.224832
  Found[420] -> True[0]: dist = 3.547246
  Found[421] -> True[0]: dist = 4.323671
  Found[422] -> True[0]: dist = 2.678137
  Found[423] -> True[0]: dist = 5.187948
  Found[424] -> True[0]: dist = 2.877404
  Found[425] -> True[0]: dist = 2.380803
  Found[426] -> True[0]: dist = 4.895139
  Found[427] -> True[0]: dist = 4.598266
  Found[428] -> True[0]: dist = 3.963821
  Found[429] -> True[0]: dist = 5.164222
  Found[430] -> True[0]: dist = 2.987208
  Found[431] -> True[0]: dist = 2.675845

----------------------------------------------------------------------
Function: twisted_t1.0_4D
Dimension: 4
Status: SUCCESS
Error: 0.3823 log units

TRUE PEAKS (1):
  [0]: [0. 0. 0. 0.]

FOUND PEAKS (1):
  [0]: [-3.52185680e-09 -1.25779406e-08  3.03434048e-09 -3.03434048e-09]

DISTANCES (found -> nearest true):
  Found[0] -> True[0]: dist = 0.000000

----------------------------------------------------------------------
Function: skew_normal_a5.0_4D
Dimension: 4
Status: SUCCESS
Error: 0.0012 log units

TRUE PEAKS (1):
  [0]: [0.37 0.37 0.37 0.37]

FOUND PEAKS (1):
  [0]: [0.37050183 0.37050183 0.37050183 0.37050183]

DISTANCES (found -> nearest true):
  Found[0] -> True[0]: dist = 0.001004

----------------------------------------------------------------------
Function: bimodal_w0.9_4D
Dimension: 4
Status: SUCCESS
Error: 0.0002 log units

TRUE PEAKS (2):
  [0]: [0. 0. 0. 0.]
  [1]: [5. 0. 0. 0.]

FOUND PEAKS (2):
  [0]: [ 2.06782774e-06  4.52954984e-09  4.52977776e-09 -4.52977776e-09]
  [1]: [ 4.99983219e+00  1.54043808e-08 -1.54043808e-08  1.04863917e-08]

DISTANCES (found -> nearest true):
  Found[0] -> True[0]: dist = 0.000002
  Found[1] -> True[1]: dist = 0.000168

----------------------------------------------------------------------
Function: student_t_nu3.0_8D
Dimension: 8
Status: SUCCESS
Error: 0.0000 log units

TRUE PEAKS (1):
  [0]: [0. 0. 0. 0. 0. 0. 0. 0.]

FOUND PEAKS (1):
  [0]: [5.70710899e-12 0.00000000e+00 0.00000000e+00 0.00000000e+00
 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00]

DISTANCES (found -> nearest true):
  Found[0] -> True[0]: dist = 0.000000

----------------------------------------------------------------------
Function: student_t_cauchy_8D
Dimension: 8
Status: SUCCESS
Error: 2.8579 log units

TRUE PEAKS (1):
  [0]: [0. 0. 0. 0. 0. 0. 0. 0.]

FOUND PEAKS (1):
  [0]: [-1.49788441e-10  0.00000000e+00  0.00000000e+00  0.00000000e+00
  0.00000000e+00  0.00000000e+00  0.00000000e+00  0.00000000e+00]

DISTANCES (found -> nearest true):
  Found[0] -> True[0]: dist = 0.000000

----------------------------------------------------------------------
Function: banana_b0.1_8D
Dimension: 8
Status: SUCCESS
Error: 0.0048 log units

TRUE PEAKS (1):
  [0]: [0. 0. 0. 0. 0. 0. 0. 0.]

FOUND PEAKS (1):
  [0]: [0.00000000e+00 7.10597598e-25 0.00000000e+00 0.00000000e+00
 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00]

DISTANCES (found -> nearest true):
  Found[0] -> True[0]: dist = 0.000000

----------------------------------------------------------------------
Function: banana_b0.5_8D
Dimension: 8
Status: SUCCESS
Error: 0.0922 log units

TRUE PEAKS (1):
  [0]: [0. 0. 0. 0. 0. 0. 0. 0.]

FOUND PEAKS (1):
  [0]: [ 0.0000000e+00 -3.7249228e-25  0.0000000e+00  0.0000000e+00
  0.0000000e+00  0.0000000e+00  0.0000000e+00  0.0000000e+00]

DISTANCES (found -> nearest true):
  Found[0] -> True[0]: dist = 0.000000

----------------------------------------------------------------------
Function: funnel_sigma3.0_8D
Dimension: 8
Status: SUCCESS

TRUE PEAKS (1):
  [0]: [0. 0. 0. 0. 0. 0. 0. 0.]

FOUND PEAKS: None found

----------------------------------------------------------------------
Function: exp_power_beta1.0_8D
Dimension: 8
Status: SUCCESS
Error: 0.0215 log units

TRUE PEAKS (1):
  [0]: [0. 0. 0. 0. 0. 0. 0. 0.]

FOUND PEAKS (1):
  [0]: [-1.78432306e-15  0.00000000e+00  0.00000000e+00  0.00000000e+00
  0.00000000e+00  0.00000000e+00  0.00000000e+00  0.00000000e+00]

DISTANCES (found -> nearest true):
  Found[0] -> True[0]: dist = 0.000000

----------------------------------------------------------------------
Function: exp_power_beta0.5_8D
Dimension: 8
Status: SUCCESS
Error: 7.1436 log units

TRUE PEAKS (1):
  [0]: [0. 0. 0. 0. 0. 0. 0. 0.]

FOUND PEAKS (1):
  [0]: [5.77403326e-19 0.00000000e+00 0.00000000e+00 0.00000000e+00
 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00]

DISTANCES (found -> nearest true):
  Found[0] -> True[0]: dist = 0.000000

----------------------------------------------------------------------
Function: ring_R3.0_w0.3_8D
Dimension: 8
Status: SUCCESS
Error: 68.5085 log units

TRUE PEAKS (1):
  [0]: [3. 0. 0. 0. 0. 0. 0. 0.]

FOUND PEAKS (399):
  [0]: [-0.81357574 -1.0914011   1.0914011   1.0914011  -1.0914011   1.0914011
  1.0914011  -1.0914011 ]
  [1]: [-0.72470673 -1.16876571  1.00178957  1.16876571 -1.00178957  1.16876571
  1.00178957 -1.16876571]
  [2]: [-0.61563383 -1.24850216  0.89180798  1.24850216 -0.89180798  1.24850216
  0.89180798 -1.24850216]
  [3]: [-0.71406684 -1.50864756  0.71406684  1.24958883 -0.71406684  1.24958883
  0.71406684 -1.24958883]
  [4]: [-0.47718817 -1.46969775  0.20995677  1.46969775 -0.20995677  1.46969775
  0.20995677 -1.46969775]
  [5]: [ 0.26891308 -1.49396166  0.          1.49396166  0.          1.49396166
  0.         -1.49396166]
  [6]: [ 0.22128271 -1.26733191 -0.22128271  1.54897877  0.22128271  1.54897877
 -0.22128271 -1.54897877]
  [7]: [ 0.67115629 -1.41918142 -0.40548147  1.41918142  0.40548147  1.41918142
 -0.40548147 -1.41918142]
  [8]: [ 0.84272446 -1.34963983 -0.57841875  1.34963983  0.57841875  1.34963983
 -0.57841875 -1.34963983]
  [9]: [ 1.28535329 -1.02454637 -1.02454637  1.02454637  1.02454637  1.02454637
 -1.02454637 -1.02454637]
  [10]: [-0.98848193 -1.26930791  0.72533514  1.26930791 -0.72533514  1.26930791
  0.72533514 -1.26930791]
  [11]: [ 0.14327869 -1.4544262  -0.41555143  1.4544262   0.41555143  1.4544262
 -0.41555143 -1.4544262 ]
  [12]: [ 1.01455116 -1.25259092 -0.75160937  1.25259092  0.75160937  1.25259092
 -0.75160937 -1.25259092]
  [13]: [ 1.28535329 -1.02454637  1.02454637 -1.02454637 -1.02454637  1.02454637
 -1.02454637 -1.02454637]
  [14]: [ 1.38033741 -1.12027503  1.12027503 -1.12027503 -0.64015129  1.12027516
 -1.12027516 -0.64015129]
  [15]: [ 1.42220461 -1.1624697   1.1624697  -1.1624697  -0.33215587  1.1624697
 -1.1624697  -0.33215587]
  [16]: [ 1.43344532 -1.17379826  1.17379826 -1.17379826 -0.1676645   1.17379826
 -1.17379826 -0.1676645 ]
  [17]: [ 1.17379826 -1.17379826  1.17379826 -1.17379826  0.1676645   1.43344531
 -1.17379826  0.1676645 ]
  [18]: [ 1.40418558 -1.14430978  1.14430978 -1.14430978  0.49042764  1.14430978
 -1.14430978  0.49042764]
  [19]: [ 1.16654719 -1.16654719  1.16654719 -1.16654719  0.76488412  1.16654719
 -1.16654719  0.49995814]
  [20]: [ 1.35179094 -1.09150502  1.09150502 -1.09150502  0.77966193  1.09150496
 -1.09150496  0.77966193]
  [21]: [ 1.20942875 -1.20942875  1.20942875 -1.20942875 -0.44028255  1.20942875
 -1.20942875 -0.17275394]
  [22]: [ 1.20942875 -1.20942875  1.20942875 -1.20942875  0.44028254  1.20942875
 -1.20942875  0.17275394]
  [23]: [ 1.21610828 -1.21610828  1.21610828 -1.21610828 -0.0757626   1.21610828
 -1.21610828 -0.34748218]
  [24]: [ 0.97896135 -1.25817373  1.25817373 -1.25817373  0.25162375  1.25817373
 -1.25817373  0.25162375]
  [25]: [-0.72470673  1.16876571 -1.00178956 -1.00178956 -1.16876571 -1.00178957
  1.16876571  1.16876571]
  [26]: [-0.83843977  1.43343553 -0.83843977 -0.83843977 -1.1737884  -0.83843977
  1.1737884   1.1737884 ]
  [27]: [-0.20251695  1.67539285 -0.20251695 -0.20251695 -1.41762787 -0.20251695
  1.41762787  1.41762787]
  [28]: [ 0.          1.28368988  0.          0.         -1.56547546  0.
  1.56547547  1.56547547]
  [29]: [ 0.84272446  1.34963984  0.57841875  0.57841875 -1.34963983  0.57841875
  1.34963983  1.34963983]
  [30]: [ 1.1088671   1.18531208  0.84667089  0.84667089 -1.18531208  0.8466709
  1.18531208  1.18531208]
  [31]: [-0.62452814  1.43391449 -0.35847998 -0.35847998 -1.43391449 -0.35847701
  1.43391449  1.43391449]
  [32]: [ 0.62452814  1.43391449  0.35847998  0.35847998 -1.43391449  0.35847701
  1.43391449  1.43391449]
  [33]: [-0.51163208  1.31152554 -0.78694253 -0.78694253 -1.31152554 -0.78694253
  1.31152554  1.31152554]
  [34]: [-0.47718686  1.469699   -0.20995544 -0.20995544 -1.46969767 -0.20995544
  1.46969767  1.46969767]
  [35]: [ 0.366328    1.46530644  0.09445538  0.366328   -1.46530644  0.36632496
  1.46530644  1.46530644]
  [36]: [ 0.51163208  1.31152554  0.78694253  0.78694253 -1.31152554  0.78694253
  1.31152554  1.31152554]
  [37]: [-1.07268551  1.07268551 -1.07268551  1.07268551 -0.97232736 -1.07268551
  1.07268551 -1.07268551]
  [38]: [-0.6927924   0.96960905 -0.96960905  0.96960905 -1.69681714 -0.96960905
  0.96960905 -0.96960905]
  [39]: [-0.59329315  0.86928155 -0.86928155  0.86928155 -2.02832459 -0.86928157
  0.86928157 -0.86928157]
  [40]: [ 0.66035941 -0.3945982   0.3945982  -0.3945982   2.76218737  0.3945982
 -0.39459819  0.39459819]
  [41]: [ 0.  0.  0.  0. -3.  0.  0.  0.]
  [42]: [-0.66035931  0.39459807 -0.39459807  0.39459807  2.76218749 -0.39459808
  0.39459807 -0.39459807]
  [43]: [ 1.08869762 -0.82634216  0.82634216 -0.82634216 -1.92813103  0.82634216
 -0.82634216  0.82634216]
  [44]: [ 1.17813506 -0.91648504  0.91648504 -0.91648504 -1.60384818  0.91648504
 -0.916485    0.916485  ]
  [45]: [ 0.99800657 -0.99800657  0.99800657 -0.99800657 -1.42403661  0.99800657
 -0.99800657  0.99800657]
  [46]: [ 1.28535329 -1.02454637  1.02454637 -1.02454637 -1.02454637  1.02454637
 -1.02454637  1.02454637]
  [47]: [-0.90192925  0.90192925 -0.90192925  0.90192925 -1.81814887 -0.90192927
  0.90192927 -0.90192927]
  [48]: [ 0.90192955 -0.90192955  0.90192955 -0.90192955 -1.81814784  0.90192956
 -0.90192956  0.90192956]
  [49]: [ 0.7848185  -0.52005151  0.52005151 -0.52005151  2.60025744  0.52005152
 -0.52005138  0.52005138]
  [50]: [-0.26347352  0.53673381 -0.53673381  0.53673381  2.68366959 -0.53673394
  0.53673381 -0.53673381]
  [51]: [ 1.14619645  1.24357887  0.98244379  1.14619645  0.98244379 -0.98244379
  0.98244379 -0.98244379]
  [52]: [ 1.69609146  0.82199203  0.82199203  1.43848822  0.82199203 -0.82199203
  0.82199203 -0.82199203]
  [53]: [ 1.8727446   0.69278838  0.69278838  1.6165065   0.69278838 -0.69278838
  0.69278838 -0.69278838]
  [54]: [ 1.86370908  0.79715676  0.53248812  1.86370908  0.53248812 -0.53248812
  0.53248812 -0.53248812]
  [55]: [ 1.9024057   0.3127842   0.3127842   2.18948597  0.3127842  -0.3127842
  0.3127842  -0.3127842 ]
  [56]: [2.24422961 0.         0.         1.99083738 0.         0.
 0.         0.        ]
  [57]: [ 2.18954434 -0.27653345 -0.27653345  1.93573529 -0.27653345  0.27653345
 -0.27653345  0.27653345]
  [58]: [ 1.86370926 -0.79715657 -0.53248794  1.86370926 -0.53248794  0.53248794
 -0.53248794  0.53248794]
  [59]: [ 1.5059284  -0.76697388 -0.76697388  1.789605   -0.76697388  0.76697388
 -0.76697388  0.76697388]
  [60]: [ 1.6960914  -0.8219925  -0.8219925   1.43848815 -0.82199186  0.82199186
 -0.82199186  0.82199186]
  [61]: [ 1.21770275 -0.76632667 -1.04375701  1.21770275 -1.04375701  1.04375701
 -1.04375701  1.04375701]
  [62]: [ 0.94535505 -1.04939903 -1.04939903  1.22428504 -1.04939903  1.04939903
 -1.04939903  1.04939903]
  [63]: [ 1.40069217  0.97780893  0.97780893  1.14078905  0.97780892 -0.97780892
  0.97780892 -0.97780892]
  [64]: [ 2.04964991  0.51279161  0.51279161  1.79477126  0.51279161 -0.51279161
  0.51279161 -0.51279161]
  [65]: [ 2.04965005 -0.51279143 -0.51279142  1.79477141 -0.51279142  0.51279142
 -0.51279142  0.51279142]
  [66]: [ 1.40067576 -0.97781606 -0.97781606  1.14077251 -0.97781606  0.97781606
 -0.97781606  0.97781606]
  [67]: [ 2.14117861  0.37740015  0.37740015  1.88700031  0.37739973 -0.37739973
  0.37739973 -0.37739973]
  [68]: [ 2.14117843 -0.37740001 -0.3774      1.88700013 -0.37740029  0.37740029
 -0.37740029  0.37740029]
  [69]: [ 0.81357574  1.0914011   1.0914011   1.0914011   1.0914011  -1.0914011
 -1.0914011  -1.0914011 ]
  [70]: [ 1.28535329  1.02454637  1.02454637  1.02454637  1.02454637 -1.02454637
 -1.02454637 -1.02454637]
  [71]: [ 1.43644661  0.8520769   0.77808469  0.86864146  1.10516414 -1.06705229
 -1.22728063 -0.99218255]
  [72]: [ 1.14680174  0.69414171  0.52708001  0.73155902  1.26561368 -1.17955382
 -1.54135477 -1.01050552]
  [73]: [ 1.64881334  0.48020209  0.27273446  0.52666864  1.18989127 -1.08301689
 -1.5323247  -0.8730812 ]
  [74]: [ 1.71689927  0.2708057   0.          0.33145853  1.19715672 -1.05765419
 -1.64413092 -0.78362832]
  [75]: [-1.35000702  0.33790492  0.78678203  0.23736998 -1.1975768   0.96634358
  1.93846459  0.51212864]
  [76]: [-1.24198449  0.68849775  1.19242973  0.57563212 -1.03531165  0.77571777
  1.86706994  0.26579303]
  [77]: [ 1.49477372 -0.9155981  -1.40569845 -0.80583008  0.76089853 -0.50843006
 -1.56982719 -0.01250043]
  [78]: [ 1.30093381 -1.13107733 -1.62576158 -1.0202829   0.56110027 -0.30627011
 -1.37759605  0.19429764]
  [79]: [ 0.93657473 -1.37053556 -1.83610966 -1.26626066  0.22206297  0.01777148
 -0.99051098  0.48888188]
  [80]: [ 1.32895202  0.97950945  0.95924918  0.98405437  1.04885411 -1.0384181
 -1.08230245 -1.01790966]
  [81]: [ 1.5737045   0.63954244  0.48562135  0.67401661  1.16606401 -1.08677338
 -1.42011605 -0.93102194]
  [82]: [ 1.75449226 -0.22685057 -0.61966491 -0.13886502  1.1168684  -0.91450755
 -1.76522146 -0.51701234]
  [83]: [-1.15573959  0.84785668  1.36827966  0.73129741 -0.93236406  0.66427486
  1.79134165  0.13766322]
  [84]: [ 0.83126568 -1.20609102 -1.733583   -1.08794864  0.59831276 -0.32658211
 -1.46895899  0.20718357]
  [85]: [ 1.59705662 -0.24195768 -0.38665545 -0.14811274  1.19124626 -0.97540919
 -1.88277639 -0.55144278]
  [86]: [ 1.05434497 -0.98865176 -1.51785618 -0.87012558  0.82160903 -0.54899663
 -1.69508041 -0.01349781]
  [87]: [-1.0099145  -0.76216872 -1.14167154  1.13962061 -1.14285986 -1.04056609
 -1.16485003  1.02530017]
  [88]: [-0.73185039 -1.03861562 -1.14062964  1.13858059 -1.14181688 -1.03961646
 -1.16378698  1.02436447]
  [89]: [-0.50795205 -0.49560212 -1.37267673  1.35502033 -1.38288464 -0.50412493
 -1.57172281  0.37311835]
  [90]: [ 0.53236375 -0.10860841 -1.39746774  1.37151975 -1.41246696 -0.12113255
 -1.68996429 -0.07138087]
  [91]: [ 0.79914337  0.11088707 -1.34819296  1.31881802 -1.3651738   0.09670915
 -1.67931925 -0.31464805]
  [92]: [ 0.5487317   0.34040311 -1.32652539  1.2929657  -1.34592514  0.32420549
 -1.70482207 -0.5731905 ]
  [93]: [ 0.98574974  0.73031276 -1.11145534  1.07437579 -1.13288982  0.71241644
 -1.52943084 -0.98751667]
  [94]: [ 1.56746274  0.80940951 -0.91092121  0.87628634 -0.93094171  0.79269191
 -1.30133616 -1.04965369]
  [95]: [-0.4412694  -0.8420937  -1.27644267  1.26770107 -1.2814963  -0.84631571
 -1.37501144  0.78143979]
  [96]: [ 0.27874205  0.11454619 -1.39268154  1.36233726 -1.41022272  0.09990043
 -1.73473456 -0.32503102]
  [97]: [ 1.04831146  0.32441709 -1.26422908  1.23224541 -1.28271777  0.30898015
 -1.62476018 -0.54627232]
  [98]: [ 1.4356851   0.67895283 -1.03329121  0.99881932 -1.05321829  0.66231509
 -1.42187219 -0.91806864]
  [99]: [-0.63258238 -0.97289464 -1.1934332   1.18914508 -1.19594416 -0.97502657
 -1.24349434  0.94219387]
  [100]: [ 1.30100164  0.55173067 -1.13118058  1.09729929 -1.15076628  0.53537769
 -1.51310453 -0.78674971]
  [101]: [-0.80015409 -0.97410554  1.04898827  1.20357135 -0.92008146 -1.20019205
 -1.11725748 -1.15179699]
  [102]: [-1.07265729 -0.96939718  1.04391796  1.19775386 -0.63926347 -1.1943909
 -1.11185718 -1.14622976]
  [103]: [-1.06079756 -0.6219188   1.01546163  1.2577725  -0.81339162 -1.2525086
 -1.12246441 -1.17663142]
  [104]: [-0.68561989 -0.50470409  0.83500652  1.51674161 -0.26634294 -1.50189158
 -1.13608032 -1.28847302]
  [105]: [-0.58450602 -0.23068411  0.68516529  1.62320862  0.09729844 -1.60276997
 -1.09943174 -1.30911846]
  [106]: [-0.51871273 -0.07776377  0.59473045  1.66174423  0.29531366 -1.6384984
 -1.06595418 -1.30447163]
  [107]: [-0.26879445  0.403623    0.2789057   1.68762997  0.89617784 -1.65693775
 -0.90103836 -1.21593879]
  [108]: [-1.01548506 -1.17936898  0.98827752  1.13391403 -0.86683126 -1.13073031
 -1.05259561 -1.08513614]
  [109]: [ 1.27040222  0.79293232 -0.93338213 -1.22567878  0.71232454  1.21484421
  1.07295172  1.11775121]
  [110]: [-1.08074986 -0.2193996   0.65164864  1.54380513  0.09253883 -1.5243663
 -1.04565017 -1.24507951]
  [111]: [-0.78928229 -0.07729375  0.31743099  1.65170027  0.29352872 -1.62859494
 -1.05951131 -1.29658711]
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  [394]: [ 1.37474748 -0.49615668 -1.6175551  -0.25892899 -1.62057089  0.80569801
  0.5928207   0.74399833]
  [395]: [ 1.28535328  1.02454638 -1.02454638 -1.02454638 -1.02454638 -1.02454638
 -1.02454638 -1.02454638]
  [396]: [ 0.2689131   0.          0.          0.          0.          0.
  0.         -2.98792332]
  [397]: [-0.81357576  1.0914011  -1.0914011   1.0914011   1.0914011   1.0914011
 -1.0914011   1.0914011 ]
  [398]: [ 0.62296856  0.98076163 -1.39301763 -0.08146758  0.46456673 -1.28040859
  1.25398384 -1.508356  ]

DISTANCES (found -> nearest true):
  Found[0] -> True[0]: dist = 4.783456
  Found[1] -> True[0]: dist = 4.727393
  Found[2] -> True[0]: dist = 4.657661
  Found[3] -> True[0]: dist = 4.720636
  Found[4] -> True[0]: dist = 4.567617
  Found[5] -> True[0]: dist = 4.048027
  Found[6] -> True[0]: dist = 4.083173
  Found[7] -> True[0]: dist = 3.738056
  Found[8] -> True[0]: dist = 3.597729
  Found[9] -> True[0]: dist = 3.207473
  Found[10] -> True[0]: dist = 4.891921
  Found[11] -> True[0]: dist = 4.140088
  Found[12] -> True[0]: dist = 3.451477
  Found[13] -> True[0]: dist = 3.207473
  Found[14] -> True[0]: dist = 3.117367
  Found[15] -> True[0]: dist = 3.076812
  Found[16] -> True[0]: dist = 3.065832
  Found[17] -> True[0]: dist = 3.310168
  Found[18] -> True[0]: dist = 3.094331
  Found[19] -> True[0]: dist = 3.316733
  Found[20] -> True[0]: dist = 3.144718
  Found[21] -> True[0]: dist = 3.277717
  Found[22] -> True[0]: dist = 3.277717
  Found[23] -> True[0]: dist = 3.271598
  Found[24] -> True[0]: dist = 3.482274
  Found[25] -> True[0]: dist = 4.727393
  Found[26] -> True[0]: dist = 4.799025
  Found[27] -> True[0]: dist = 4.383503
  Found[28] -> True[0]: dist = 4.242641
  Found[29] -> True[0]: dist = 3.597729
  Found[30] -> True[0]: dist = 3.368501
  Found[31] -> True[0]: dist = 4.663386
  Found[32] -> True[0]: dist = 3.775292
  Found[33] -> True[0]: dist = 4.590184
  Found[34] -> True[0]: dist = 4.567617
  Found[35] -> True[0]: dist = 3.975177
  Found[36] -> True[0]: dist = 3.863963
  Found[37] -> True[0]: dist = 4.943290
  Found[38] -> True[0]: dist = 4.707096
  Found[39] -> True[0]: dist = 4.643249
  Found[40] -> True[0]: dist = 3.746711
  Found[41] -> True[0]: dist = 4.242641
  Found[42] -> True[0]: dist = 4.686380
  Found[43] -> True[0]: dist = 3.386416
  Found[44] -> True[0]: dist = 3.306235
  Found[45] -> True[0]: dist = 3.465828
  Found[46] -> True[0]: dist = 3.207473
  Found[47] -> True[0]: dist = 4.838551
  Found[48] -> True[0]: dist = 3.548017
  Found[49] -> True[0]: dist = 3.645695
  Found[50] -> True[0]: dist = 4.425024
  Found[51] -> True[0]: dist = 3.335089
  Found[52] -> True[0]: dist = 2.797043
  Found[53] -> True[0]: dist = 2.600679
  Found[54] -> True[0]: dist = 2.611081
  Found[55] -> True[0]: dist = 2.566236
  Found[56] -> True[0]: dist = 2.129465
  Found[57] -> True[0]: dist = 2.205161
  Found[58] -> True[0]: dist = 2.611081
  Found[59] -> True[0]: dist = 2.994066
  Found[60] -> True[0]: dist = 2.797043
  Found[61] -> True[0]: dist = 3.270135
  Found[62] -> True[0]: dist = 3.511107
  Found[63] -> True[0]: dist = 3.097716
  Found[64] -> True[0]: dist = 2.387907
  Found[65] -> True[0]: dist = 2.387907
  Found[66] -> True[0]: dist = 3.097732
  Found[67] -> True[0]: dist = 2.270006
  Found[68] -> True[0]: dist = 2.270006
  Found[69] -> True[0]: dist = 3.621953
  Found[70] -> True[0]: dist = 3.207473
  Found[71] -> True[0]: dist = 3.062894
  Found[72] -> True[0]: dist = 3.334545
  Found[73] -> True[0]: dist = 2.847300
  Found[74] -> True[0]: dist = 2.774636
  Found[75] -> True[0]: dist = 5.108820
  Found[76] -> True[0]: dist = 5.044988
  Found[77] -> True[0]: dist = 3.005222
  Found[78] -> True[0]: dist = 3.192867
  Found[79] -> True[0]: dist = 3.518601
  Found[80] -> True[0]: dist = 3.166431
  Found[81] -> True[0]: dist = 2.925367
  Found[82] -> True[0]: dist = 2.733687
  Found[83] -> True[0]: dist = 4.993439
  Found[84] -> True[0]: dist = 3.607271
  Found[85] -> True[0]: dist = 2.901320
  Found[86] -> True[0]: dist = 3.416713
  Found[87] -> True[0]: dist = 4.905047
  Found[88] -> True[0]: dist = 4.731924
  Found[89] -> True[0]: dist = 4.587779
  Found[90] -> True[0]: dist = 3.847833
  Found[91] -> True[0]: dist = 3.633888
  Found[92] -> True[0]: dist = 3.835050
  Found[93] -> True[0]: dist = 3.476421
  Found[94] -> True[0]: dist = 2.931761
  Found[95] -> True[0]: dist = 4.543965
  Found[96] -> True[0]: dist = 4.040736
  Found[97] -> True[0]: dist = 3.422007
  Found[98] -> True[0]: dist = 3.063640
  Found[99] -> True[0]: dist = 4.668564
  Found[100] -> True[0]: dist = 3.192803
  Found[101] -> True[0]: dist = 4.775031
  Found[102] -> True[0]: dist = 4.943273
  Found[103] -> True[0]: dist = 4.936070
  Found[104] -> True[0]: dist = 4.702523
  Found[105] -> True[0]: dist = 4.637568
  Found[106] -> True[0]: dist = 4.594810
  Found[107] -> True[0]: dist = 4.428630
  Found[108] -> True[0]: dist = 4.908453
  Found[109] -> True[0]: dist = 3.221426
  Found[110] -> True[0]: dist = 4.948181
  Found[111] -> True[0]: dist = 4.768196
  Found[112] -> True[0]: dist = 4.613907
  Found[113] -> True[0]: dist = 4.944350
  Found[114] -> True[0]: dist = 4.922599
  Found[115] -> True[0]: dist = 4.863589
  Found[116] -> True[0]: dist = 4.625892
  Found[117] -> True[0]: dist = 4.795274
  Found[118] -> True[0]: dist = 4.985301
  Found[119] -> True[0]: dist = 4.813824
  Found[120] -> True[0]: dist = 4.775870
  Found[121] -> True[0]: dist = 4.785681
  Found[122] -> True[0]: dist = 4.786152
  Found[123] -> True[0]: dist = 5.064911
  Found[124] -> True[0]: dist = 4.757099
  Found[125] -> True[0]: dist = 4.659058
  Found[126] -> True[0]: dist = 4.758502
  Found[127] -> True[0]: dist = 4.819020
  Found[128] -> True[0]: dist = 4.884225
  Found[129] -> True[0]: dist = 4.763400
  Found[130] -> True[0]: dist = 4.886213
  Found[131] -> True[0]: dist = 4.826716
  Found[132] -> True[0]: dist = 4.936616
  Found[133] -> True[0]: dist = 4.918501
  Found[134] -> True[0]: dist = 5.163347
  Found[135] -> True[0]: dist = 5.378563
  Found[136] -> True[0]: dist = 5.398915
  Found[137] -> True[0]: dist = 5.468715
  Found[138] -> True[0]: dist = 5.547818
  Found[139] -> True[0]: dist = 5.606508
  Found[140] -> True[0]: dist = 5.640720
  Found[141] -> True[0]: dist = 5.682102
  Found[142] -> True[0]: dist = 5.574345
  Found[143] -> True[0]: dist = 5.539938
  Found[144] -> True[0]: dist = 5.408091
  Found[145] -> True[0]: dist = 5.273440
  Found[146] -> True[0]: dist = 5.435280
  Found[147] -> True[0]: dist = 5.526082
  Found[148] -> True[0]: dist = 5.673712
  Found[149] -> True[0]: dist = 5.728758
  Found[150] -> True[0]: dist = 5.531655
  Found[151] -> True[0]: dist = 5.370902
  Found[152] -> True[0]: dist = 5.495450
  Found[153] -> True[0]: dist = 5.596897
  Found[154] -> True[0]: dist = 5.728577
  Found[155] -> True[0]: dist = 5.465449
  Found[156] -> True[0]: dist = 3.740809
  Found[157] -> True[0]: dist = 3.903218
  Found[158] -> True[0]: dist = 3.641802
  Found[159] -> True[0]: dist = 3.839576
  Found[160] -> True[0]: dist = 3.789144
  Found[161] -> True[0]: dist = 3.892080
  Found[162] -> True[0]: dist = 3.386847
  Found[163] -> True[0]: dist = 3.609943
  Found[164] -> True[0]: dist = 3.308649
  Found[165] -> True[0]: dist = 3.550709
  Found[166] -> True[0]: dist = 3.547482
  Found[167] -> True[0]: dist = 3.692981
  Found[168] -> True[0]: dist = 3.588195
  Found[169] -> True[0]: dist = 3.578100
  Found[170] -> True[0]: dist = 3.581275
  Found[171] -> True[0]: dist = 3.487784
  Found[172] -> True[0]: dist = 3.958237
  Found[173] -> True[0]: dist = 3.944034
  Found[174] -> True[0]: dist = 3.476708
  Found[175] -> True[0]: dist = 5.071478
  Found[176] -> True[0]: dist = 5.174505
  Found[177] -> True[0]: dist = 5.016160
  Found[178] -> True[0]: dist = 3.389098
  Found[179] -> True[0]: dist = 3.148170
  Found[180] -> True[0]: dist = 3.849613
  Found[181] -> True[0]: dist = 3.838180
  Found[182] -> True[0]: dist = 4.852727
  Found[183] -> True[0]: dist = 4.704180
  Found[184] -> True[0]: dist = 3.492399
  Found[185] -> True[0]: dist = 3.233408
  Found[186] -> True[0]: dist = 3.202701
  Found[187] -> True[0]: dist = 5.185141
  Found[188] -> True[0]: dist = 3.562206
  Found[189] -> True[0]: dist = 4.669117
  Found[190] -> True[0]: dist = 3.232263
  Found[191] -> True[0]: dist = 3.079330
  Found[192] -> True[0]: dist = 5.152786
  Found[193] -> True[0]: dist = 4.707871
  Found[194] -> True[0]: dist = 3.710292
  Found[195] -> True[0]: dist = 3.681695
  Found[196] -> True[0]: dist = 3.889398
  Found[197] -> True[0]: dist = 3.621214
  Found[198] -> True[0]: dist = 3.591089
  Found[199] -> True[0]: dist = 3.514098
  Found[200] -> True[0]: dist = 3.513819
  Found[201] -> True[0]: dist = 3.521438
  Found[202] -> True[0]: dist = 3.535414
  Found[203] -> True[0]: dist = 3.743921
  Found[204] -> True[0]: dist = 3.574796
  Found[205] -> True[0]: dist = 3.787917
  Found[206] -> True[0]: dist = 3.811313
  Found[207] -> True[0]: dist = 3.861737
  Found[208] -> True[0]: dist = 3.788751
  Found[209] -> True[0]: dist = 3.534921
  Found[210] -> True[0]: dist = 3.719796
  Found[211] -> True[0]: dist = 3.794208
  Found[212] -> True[0]: dist = 3.817088
  Found[213] -> True[0]: dist = 3.752215
  Found[214] -> True[0]: dist = 3.726284
  Found[215] -> True[0]: dist = 3.772410
  Found[216] -> True[0]: dist = 3.767553
  Found[217] -> True[0]: dist = 4.315984
  Found[218] -> True[0]: dist = 5.085436
  Found[219] -> True[0]: dist = 3.186939
  Found[220] -> True[0]: dist = 5.083642
  Found[221] -> True[0]: dist = 4.848208
  Found[222] -> True[0]: dist = 3.121097
  Found[223] -> True[0]: dist = 5.095723
  Found[224] -> True[0]: dist = 4.306622
  Found[225] -> True[0]: dist = 3.815702
  Found[226] -> True[0]: dist = 4.942082
  Found[227] -> True[0]: dist = 2.536381
  Found[228] -> True[0]: dist = 5.238480
  Found[229] -> True[0]: dist = 3.167587
  Found[230] -> True[0]: dist = 1.897255
  Found[231] -> True[0]: dist = 3.207473
  Found[232] -> True[0]: dist = 4.090891
  Found[233] -> True[0]: dist = 2.757006
  Found[234] -> True[0]: dist = 4.242641
  Found[235] -> True[0]: dist = 4.722931
  Found[236] -> True[0]: dist = 4.818257
  Found[237] -> True[0]: dist = 4.361381
  Found[238] -> True[0]: dist = 5.070712
  Found[239] -> True[0]: dist = 5.018355
  Found[240] -> True[0]: dist = 3.990110
  Found[241] -> True[0]: dist = 4.242641
  Found[242] -> True[0]: dist = 4.048027
  Found[243] -> True[0]: dist = 3.207473
  Found[244] -> True[0]: dist = 4.507403
  Found[245] -> True[0]: dist = 2.340686
  Found[246] -> True[0]: dist = 4.242641
  Found[247] -> True[0]: dist = 3.207473
  Found[248] -> True[0]: dist = 3.207473
  Found[249] -> True[0]: dist = 4.396422
  Found[250] -> True[0]: dist = 3.207473
  Found[251] -> True[0]: dist = 5.119841
  Found[252] -> True[0]: dist = 4.787686
  Found[253] -> True[0]: dist = 4.242641
  Found[254] -> True[0]: dist = 4.518859
  Found[255] -> True[0]: dist = 4.048027
  Found[256] -> True[0]: dist = 1.021644
  Found[257] -> True[0]: dist = 2.814662
  Found[258] -> True[0]: dist = 2.778141
  Found[259] -> True[0]: dist = 5.070712
  Found[260] -> True[0]: dist = 5.070712
  Found[261] -> True[0]: dist = 4.734026
  Found[262] -> True[0]: dist = 4.048027
  Found[263] -> True[0]: dist = 2.921576
  Found[264] -> True[0]: dist = 3.395805
  Found[265] -> True[0]: dist = 3.207473
  Found[266] -> True[0]: dist = 4.242641
  Found[267] -> True[0]: dist = 4.915454
  Found[268] -> True[0]: dist = 4.048027
  Found[269] -> True[0]: dist = 3.996233
  Found[270] -> True[0]: dist = 5.027703
  Found[271] -> True[0]: dist = 5.070712
  Found[272] -> True[0]: dist = 3.511090
  Found[273] -> True[0]: dist = 0.000000
  Found[274] -> True[0]: dist = 3.249751
  Found[275] -> True[0]: dist = 2.318769
  Found[276] -> True[0]: dist = 5.070712
  Found[277] -> True[0]: dist = 4.825301
  Found[278] -> True[0]: dist = 3.748366
  Found[279] -> True[0]: dist = 2.678736
  Found[280] -> True[0]: dist = 3.693447
  Found[281] -> True[0]: dist = 3.534300
  Found[282] -> True[0]: dist = 5.891708
  Found[283] -> True[0]: dist = 3.207473
  Found[284] -> True[0]: dist = 2.577492
  Found[285] -> True[0]: dist = 4.242641
  Found[286] -> True[0]: dist = 4.862601
  Found[287] -> True[0]: dist = 3.657523
  Found[288] -> True[0]: dist = 4.048027
  Found[289] -> True[0]: dist = 4.048027
  Found[290] -> True[0]: dist = 5.422636
  Found[291] -> True[0]: dist = 4.373570
  Found[292] -> True[0]: dist = 4.235084
  Found[293] -> True[0]: dist = 4.714084
  Found[294] -> True[0]: dist = 4.048027
  Found[295] -> True[0]: dist = 4.048027
  Found[296] -> True[0]: dist = 2.231685
  Found[297] -> True[0]: dist = 4.437949
  Found[298] -> True[0]: dist = 3.710963
  Found[299] -> True[0]: dist = 4.242641
  Found[300] -> True[0]: dist = 4.334861
  Found[301] -> True[0]: dist = 4.843391
  Found[302] -> True[0]: dist = 4.275838
  Found[303] -> True[0]: dist = 4.437710
  Found[304] -> True[0]: dist = 3.207473
  Found[305] -> True[0]: dist = 3.851355
  Found[306] -> True[0]: dist = 3.648847
  Found[307] -> True[0]: dist = 3.207473
  Found[308] -> True[0]: dist = 3.361667
  Found[309] -> True[0]: dist = 3.992430
  Found[310] -> True[0]: dist = 5.792826
  Found[311] -> True[0]: dist = 3.859629
  Found[312] -> True[0]: dist = 5.070712
  Found[313] -> True[0]: dist = 3.207473
  Found[314] -> True[0]: dist = 3.621953
  Found[315] -> True[0]: dist = 4.308128
  Found[316] -> True[0]: dist = 2.984446
  Found[317] -> True[0]: dist = 0.991721
  Found[318] -> True[0]: dist = 5.070712
  Found[319] -> True[0]: dist = 5.326500
  Found[320] -> True[0]: dist = 3.207473
  Found[321] -> True[0]: dist = 5.370183
  Found[322] -> True[0]: dist = 4.048027
  Found[323] -> True[0]: dist = 4.604904
  Found[324] -> True[0]: dist = 4.242641
  Found[325] -> True[0]: dist = 4.208699
  Found[326] -> True[0]: dist = 3.378078
  Found[327] -> True[0]: dist = 5.070712
  Found[328] -> True[0]: dist = 3.218779
  Found[329] -> True[0]: dist = 4.402944
  Found[330] -> True[0]: dist = 4.242641
  Found[331] -> True[0]: dist = 3.822773
  Found[332] -> True[0]: dist = 4.242641
  Found[333] -> True[0]: dist = 4.221100
  Found[334] -> True[0]: dist = 4.184858
  Found[335] -> True[0]: dist = 4.110589
  Found[336] -> True[0]: dist = 5.070712
  Found[337] -> True[0]: dist = 4.905549
  Found[338] -> True[0]: dist = 4.970537
  Found[339] -> True[0]: dist = 2.768044
  Found[340] -> True[0]: dist = 3.207473
  Found[341] -> True[0]: dist = 0.269184
  Found[342] -> True[0]: dist = 4.783456
  Found[343] -> True[0]: dist = 3.207473
  Found[344] -> True[0]: dist = 4.783456
  Found[345] -> True[0]: dist = 3.207473
  Found[346] -> True[0]: dist = 4.783456
  Found[347] -> True[0]: dist = 4.783456
  Found[348] -> True[0]: dist = 4.853826
  Found[349] -> True[0]: dist = 4.783456
  Found[350] -> True[0]: dist = 4.542407
  Found[351] -> True[0]: dist = 4.048027
  Found[352] -> True[0]: dist = 4.121602
  Found[353] -> True[0]: dist = 3.207473
  Found[354] -> True[0]: dist = 4.783456
  Found[355] -> True[0]: dist = 3.207473
  Found[356] -> True[0]: dist = 5.034659
  Found[357] -> True[0]: dist = 4.783456
  Found[358] -> True[0]: dist = 3.207473
  Found[359] -> True[0]: dist = 4.048027
  Found[360] -> True[0]: dist = 4.783456
  Found[361] -> True[0]: dist = 4.783456
  Found[362] -> True[0]: dist = 3.207473
  Found[363] -> True[0]: dist = 4.783456
  Found[364] -> True[0]: dist = 3.207473
  Found[365] -> True[0]: dist = 3.207473
  Found[366] -> True[0]: dist = 4.783456
  Found[367] -> True[0]: dist = 3.207473
  Found[368] -> True[0]: dist = 4.783456
  Found[369] -> True[0]: dist = 5.616675
  Found[370] -> True[0]: dist = 4.783456
  Found[371] -> True[0]: dist = 3.207473
  Found[372] -> True[0]: dist = 4.783456
  Found[373] -> True[0]: dist = 3.207473
  Found[374] -> True[0]: dist = 4.783456
  Found[375] -> True[0]: dist = 3.207473
  Found[376] -> True[0]: dist = 3.207473
  Found[377] -> True[0]: dist = 3.867288
  Found[378] -> True[0]: dist = 4.783456
  Found[379] -> True[0]: dist = 3.788631
  Found[380] -> True[0]: dist = 4.783456
  Found[381] -> True[0]: dist = 3.207473
  Found[382] -> True[0]: dist = 3.207473
  Found[383] -> True[0]: dist = 3.248623
  Found[384] -> True[0]: dist = 4.048027
  Found[385] -> True[0]: dist = 4.242641
  Found[386] -> True[0]: dist = 3.913425
  Found[387] -> True[0]: dist = 3.207473
  Found[388] -> True[0]: dist = 4.783456
  Found[389] -> True[0]: dist = 3.578567
  Found[390] -> True[0]: dist = 4.621844
  Found[391] -> True[0]: dist = 4.783456
  Found[392] -> True[0]: dist = 3.207473
  Found[393] -> True[0]: dist = 3.207473
  Found[394] -> True[0]: dist = 3.122742
  Found[395] -> True[0]: dist = 3.207473
  Found[396] -> True[0]: dist = 4.048027
  Found[397] -> True[0]: dist = 4.783456
  Found[398] -> True[0]: dist = 3.776531

----------------------------------------------------------------------
Function: twisted_t1.0_8D
Dimension: 8
Status: SUCCESS
Error: 0.3823 log units

TRUE PEAKS (1):
  [0]: [0. 0. 0. 0. 0. 0. 0. 0.]

FOUND PEAKS (1):
  [0]: [-1.58585606e-08 -1.34536557e-08  3.15884616e-09  3.15884616e-09
  3.15884616e-09 -3.15884616e-09 -8.55364323e-10 -3.15884616e-09]

DISTANCES (found -> nearest true):
  Found[0] -> True[0]: dist = 0.000000

----------------------------------------------------------------------
Function: skew_normal_a5.0_8D
Dimension: 8
Status: SUCCESS
Error: 3.1450 log units

TRUE PEAKS (1):
  [0]: [0.37 0.37 0.37 0.37 0.37 0.37 0.37 0.37]

FOUND PEAKS (1):
  [0]: [0.37050183 0.37050183 0.37050183 0.37050183 0.37050183 0.37050183
 0.37050183 0.37050183]

DISTANCES (found -> nearest true):
  Found[0] -> True[0]: dist = 0.001419

----------------------------------------------------------------------
Function: bimodal_w0.9_8D
Dimension: 8
Status: SUCCESS
Error: 0.0002 log units

TRUE PEAKS (2):
  [0]: [0. 0. 0. 0. 0. 0. 0. 0.]
  [1]: [5. 0. 0. 0. 0. 0. 0. 0.]

FOUND PEAKS (2):
  [0]: [ 2.08067611e-06  4.73344894e-09  8.05501013e-09  9.80414518e-10
  1.65995843e-10  2.46434126e-09  1.14391011e-08 -9.44480162e-09]
  [1]: [ 4.99983216e+00 -2.37766238e-08 -4.81345780e-09 -5.06691504e-09
  2.24691797e-09  1.72539093e-08 -4.90171371e-09 -3.04834577e-10]

DISTANCES (found -> nearest true):
  Found[0] -> True[0]: dist = 0.000002
  Found[1] -> True[1]: dist = 0.000168

----------------------------------------------------------------------
Function: student_t_nu3.0_16D
Dimension: 16
Status: SUCCESS
Error: 0.0017 log units

TRUE PEAKS (1):
  [0]: [0.0000, 0.0000, ..., 0.0000] (d=16)

FOUND PEAKS (1):
  [0]: [0.0000, 0.0000, ..., 0.0000] (d=16)

DISTANCES (found -> nearest true):
  Found[0] -> True[0]: dist = 0.000000

----------------------------------------------------------------------
Function: student_t_cauchy_16D
Dimension: 16
Status: SUCCESS
Error: 0.0269 log units

TRUE PEAKS (1):
  [0]: [0.0000, 0.0000, ..., 0.0000] (d=16)

FOUND PEAKS (1):
  [0]: [-0.0000, 0.0000, ..., 0.0000] (d=16)

DISTANCES (found -> nearest true):
  Found[0] -> True[0]: dist = 0.000000

----------------------------------------------------------------------
Function: banana_b0.1_16D
Dimension: 16
Status: SUCCESS
Error: 0.0041 log units

TRUE PEAKS (1):
  [0]: [0.0000, 0.0000, ..., 0.0000] (d=16)

FOUND PEAKS (1):
  [0]: [0.0000, -0.0000, ..., 0.0000] (d=16)

DISTANCES (found -> nearest true):
  Found[0] -> True[0]: dist = 0.000000

----------------------------------------------------------------------
Function: funnel_sigma3.0_16D
Dimension: 16
Status: SUCCESS

TRUE PEAKS (1):
  [0]: [0.0000, 0.0000, ..., 0.0000] (d=16)

FOUND PEAKS: None found

----------------------------------------------------------------------
Function: exp_power_beta1.0_16D
Dimension: 16
Status: SUCCESS
Error: 0.6972 log units

TRUE PEAKS (1):
  [0]: [0.0000, 0.0000, ..., 0.0000] (d=16)

FOUND PEAKS (1):
  [0]: [0.0000, 0.0000, ..., 0.0000] (d=16)

DISTANCES (found -> nearest true):
  Found[0] -> True[0]: dist = 0.000000

----------------------------------------------------------------------
Function: ring_R3.0_w0.3_16D
Dimension: 16
Status: SUCCESS
Error: 162.7105 log units

TRUE PEAKS (1):
  [0]: [3.0000, 0.0000, ..., 0.0000] (d=16)

FOUND PEAKS (605):
  [0]: [-1.0612, 0.7986, ..., -0.6845] (d=16)
  [1]: [-0.6454, 0.9218, ..., -0.6584] (d=16)
  [2]: [-0.8252, 1.1031, ..., -0.4728] (d=16)
  [3]: [-0.9071, 1.1857, ..., -0.3388] (d=16)
  [4]: [-0.9659, 1.2450, ..., -0.1779] (d=16)
  [5]: [-0.9876, 1.2669, ..., 0.0000] (d=16)
  [6]: [-1.4185, 1.1588, ..., 0.1655] (d=16)
  [7]: [-1.0822, 1.0822, ..., 0.4638] (d=16)
  [8]: [-1.2154, 0.9540, ..., 0.5452] (d=16)
  [9]: [-1.1356, 0.8736, ..., 0.6240] (d=16)
  [10]: [-0.7802, 1.0578, ..., -0.5289] (d=16)
  [11]: [-0.7802, 1.0578, ..., 0.5289] (d=16)
  [12]: [-0.7164, 0.9934, ..., -0.5960] (d=16)
  [13]: [-0.9462, 1.2251, ..., -0.2450] (d=16)
  [14]: [-1.4014, 1.1415, ..., 0.2283] (d=16)
  [15]: [-0.9656, 0.9656, ..., 0.5518] (d=16)
  [16]: [0.5629, 0.7188, ..., 0.7188] (d=16)
  [17]: [1.1356, 0.6240, ..., 0.6240] (d=16)
  [18]: [1.2154, 0.5452, ..., 0.5452] (d=16)
  [19]: [1.3674, 0.3163, ..., 0.3163] (d=16)
  [20]: [1.4185, 0.1655, ..., 0.1655] (d=16)
  [21]: [1.4373, 0.0000, ..., 0.0000] (d=16)
  [22]: [0.9659, -0.1779, ..., -0.1779] (d=16)
  [23]: [0.9071, -0.3388, ..., -0.3388] (d=16)
  [24]: [1.2956, -0.4435, ..., -0.4435] (d=16)
  [25]: [1.1356, -0.6240, ..., -0.6240] (d=16)
  [26]: [1.0612, -0.6845, ..., -0.6845] (d=16)
  [27]: [0.6454, 0.6584, ..., 0.6584] (d=16)
  [28]: [1.2559, -0.4974, ..., -0.4974] (d=16)
  [29]: [0.6454, -0.6584, ..., -0.6584] (d=16)
  [30]: [0.9656, 0.5518, ..., 0.5518] (d=16)
  [31]: [1.4014, -0.2283, ..., -0.2283] (d=16)
  [32]: [1.1992, -0.5626, ..., -0.5626] (d=16)
  [33]: [-0.9252, 0.7718, ..., 0.7718] (d=16)
  [34]: [-0.4814, 1.1048, ..., 0.8425] (d=16)
  [35]: [-0.1168, 0.9072, ..., 0.9072] (d=16)
  [36]: [-0.5284, 0.9154, ..., 0.9154] (d=16)
  [37]: [0.0000, 1.1809, ..., 0.9193] (d=16)
  [38]: [0.1168, 0.9072, ..., 0.9072] (d=16)
  [39]: [0.4814, 1.1048, ..., 0.8425] (d=16)
  [40]: [0.9252, 0.7718, ..., 0.7718] (d=16)
  [41]: [-0.4142, 0.8035, ..., 0.8035] (d=16)
  [42]: [-0.2282, 0.8770, ..., 0.8770] (d=16)
  [43]: [0.0054, 0.9299, ..., 0.9299] (d=16)
  [44]: [0.2386, 0.6778, ..., 0.9545] (d=16)
  [45]: [0.3800, 0.8866, ..., 0.8866] (d=16)
  [46]: [0.4142, 0.8035, ..., 0.8035] (d=16)
  [47]: [-0.7516, 0.8515, ..., 0.8515] (d=16)
  [48]: [-0.0373, 0.9341, ..., 0.9341] (d=16)
  [49]: [0.7516, 0.8515, ..., 0.8515] (d=16)
  [50]: [-0.4207, -0.6953, ..., 0.8112] (d=16)
  [51]: [-0.3392, -0.6131, ..., 0.8583] (d=16)
  [52]: [-0.7656, -0.5007, ..., 0.8762] (d=16)
  [53]: [-0.1319, -0.4041, ..., 0.9430] (d=16)
  [54]: [-0.1455, -0.1455, ..., 1.0187] (d=16)
  [55]: [0.2689, 0.0000, ..., 0.9960] (d=16)
  [56]: [0.1455, 0.1455, ..., 1.0187] (d=16)
  [57]: [0.5404, 0.2737, ..., 0.9579] (d=16)
  [58]: [0.1319, 0.4041, ..., 0.9430] (d=16)
  [59]: [0.8556, 0.5914, ..., 0.8279] (d=16)
  [60]: [-0.2430, -0.5161, ..., 0.9032] (d=16)
  [61]: [-0.5084, -0.2414, ..., 0.9656] (d=16)
  [62]: [0.0071, 0.2782, ..., 0.9738] (d=16)
  [63]: [0.6604, 0.3946, ..., 0.9207] (d=16)
  [64]: [-0.4084, -0.1406, ..., 0.9840] (d=16)
  [65]: [0.4084, 0.1406, ..., 0.9840] (d=16)
  [66]: [0.4415, 0.8356, ..., -0.8356] (d=16)
  [67]: [0.1912, 1.0822, ..., -1.0822] (d=16)
  [68]: [0.1655, 1.4185, ..., -1.1588] (d=16)
  [69]: [0.2689, 1.2198, ..., -1.2198] (d=16)
  [70]: [-0.4380, 1.1935, ..., -1.1935] (d=16)
  [71]: [-0.1911, 1.0822, ..., -1.0822] (d=16)
  [72]: [-0.2970, 0.9985, ..., -0.9985] (d=16)
  [73]: [-0.4415, 0.8355, ..., -0.8355] (d=16)
  [74]: [0.9085, 0.8596, ..., -0.8596] (d=16)
  [75]: [0.7696, 1.0095, ..., -1.0095] (d=16)
  [76]: [-0.2473, 1.0409, ..., -1.0409] (d=16)
  [77]: [-0.3962, 0.8941, ..., -0.8941] (d=16)
  [78]: [-0.5016, 1.1728, ..., -1.1728] (d=16)
  [79]: [-0.8163, 0.9656, ..., -0.9656] (d=16)
  [80]: [-0.7808, -0.8504, ..., 0.6734] (d=16)
  [81]: [-0.8835, -0.8694, ..., 0.6203] (d=16)
  [82]: [-1.0945, -0.8640, ..., 0.4291] (d=16)
  [83]: [-1.1624, -0.7146, ..., 0.0943] (d=16)
  [84]: [-1.0862, -0.5775, ..., -0.0941] (d=16)
  [85]: [-1.2737, -0.2675, ..., -0.3670] (d=16)
  [86]: [-0.5227, -0.0675, ..., -0.5545] (d=16)
  [87]: [-0.5945, -0.7997, ..., 0.7394] (d=16)
  [88]: [-1.3468, -0.8129, ..., 0.5800] (d=16)
  [89]: [-0.8004, -0.2848, ..., -0.3907] (d=16)
  [90]: [-0.6735, -0.8233, ..., 0.7153] (d=16)
  [91]: [-1.1591, -0.8507, ..., 0.5880] (d=16)
  [92]: [-1.5942, -0.7169, ..., 0.1901] (d=16)
  [93]: [0.5113, 0.7614, ..., -0.7829] (d=16)
  [94]: [0.7847, 0.7596, ..., -0.7810] (d=16)
  [95]: [1.0817, 0.6989, ..., -0.8015] (d=16)
  [96]: [0.8514, 0.7263, ..., -0.8330] (d=16)
  [97]: [1.1385, 0.6123, ..., -0.8372] (d=16)
  [98]: [1.1426, 0.5595, ..., -0.8332] (d=16)
  [99]: [1.1325, 0.4905, ..., -0.8144] (d=16)
  [100]: [1.0545, 0.3072, ..., -0.7203] (d=16)
  [101]: [0.8231, 0.0001, ..., -0.4761] (d=16)
  [102]: [0.8249, 0.7037, ..., -0.8070] (d=16)
  [103]: [0.8777, 0.7083, ..., -0.8527] (d=16)
  [104]: [0.8319, 0.3227, ..., -0.7567] (d=16)
  [105]: [-0.4699, 0.8410, ..., 0.7335] (d=16)
  [106]: [-0.7106, 0.8023, ..., 0.6998] (d=16)
  [107]: [-0.9141, 0.9484, ..., 0.6153] (d=16)
  [108]: [-0.3601, 1.0396, ..., 0.5864] (d=16)
  [109]: [-0.2244, 1.1265, ..., 0.4233] (d=16)
  [110]: [-0.4138, 1.0712, ..., 0.0371] (d=16)
  [111]: [0.4721, 0.8008, ..., -0.3232] (d=16)
  [112]: [-0.6957, 1.1073, ..., 0.6781] (d=16)
  [113]: [-0.4023, 0.9868, ..., 0.6402] (d=16)
  [114]: [0.2830, 0.9787, ..., -0.1311] (d=16)
  [115]: [-0.4870, 1.1031, ..., 0.4145] (d=16)
  [116]: [-0.1454, 1.0666, ..., 0.0370] (d=16)
  [117]: [-0.5545, -0.6584, ..., -0.8941] (d=16)
  [118]: [-0.8256, -0.6548, ..., -0.8891] (d=16)
  [119]: [-0.6300, -0.5002, ..., -1.0575] (d=16)
  [120]: [-0.6687, -0.3927, ..., -1.1510] (d=16)
  [121]: [-0.7040, -0.2615, ..., -1.2487] (d=16)
  [122]: [-0.7304, -0.1044, ..., -1.3437] (d=16)
  [123]: [-0.6852, 0.4754, ..., -1.4969] (d=16)
  [124]: [-0.5288, 0.8182, ..., -1.4081] (d=16)
  [125]: [-0.6538, 0.5710, ..., -1.4890] (d=16)
  [126]: [-0.7670, 1.0431, ..., -1.3430] (d=16)
  [127]: [1.1534, 0.0380, ..., 0.4847] (d=16)
  [128]: [1.2591, -0.0782, ..., 0.3255] (d=16)
  [129]: [1.3144, -0.1510, ..., 0.2207] (d=16)
  [130]: [1.4331, -0.5159, ..., -0.3792] (d=16)
  [131]: [1.2644, -0.7122, ..., -0.8112] (d=16)
  [132]: [1.1754, -0.7413, ..., -0.9054] (d=16)
  [133]: [0.9989, -0.7615, ..., -1.0247] (d=16)
  [134]: [0.6853, -0.5185, ..., -1.1065] (d=16)
  [135]: [0.7839, -0.0832, ..., 0.3462] (d=16)
  [136]: [1.0791, -0.1546, ..., 0.2260] (d=16)
  [137]: [1.4173, -0.3498, ..., -0.0880] (d=16)
  [138]: [1.3602, -0.6506, ..., -0.6554] (d=16)
  [139]: [1.0206, -0.7245, ..., -0.8252] (d=16)
  [140]: [1.0186, -0.0798, ..., 0.3322] (d=16)
  [141]: [1.2214, -0.3691, ..., -0.0929] (d=16)
  [142]: [0.7764, 0.9037, ..., -0.3947] (d=16)
  [143]: [0.1987, 0.8559, ..., -0.4316] (d=16)
  [144]: [0.3866, 0.3454, ..., -0.4907] (d=16)
  [145]: [-0.3659, 0.0149, ..., -0.4761] (d=16)
  [146]: [-0.4649, -0.1426, ..., -0.4543] (d=16)
  [147]: [-0.0193, -0.2891, ..., -0.4347] (d=16)
  [148]: [-0.0965, -0.4157, ..., -0.4066] (d=16)
  [149]: [-0.1611, -0.5234, ..., -0.3777] (d=16)
  [150]: [-0.2142, -0.6137, ..., -0.3494] (d=16)
  [151]: [0.5172, 0.9138, ..., -0.3991] (d=16)
  [152]: [0.4641, 0.4610, ..., -0.4852] (d=16)
  [153]: [-0.1977, -0.1427, ..., -0.4547] (d=16)
  [154]: [-0.6881, -0.5102, ..., -0.3681] (d=16)
  [155]: [0.4630, 0.8407, ..., -0.4240] (d=16)
  [156]: [0.1178, 0.6093, ..., -0.4875] (d=16)
  [157]: [-0.0982, -0.2541, ..., -0.4777] (d=16)
  [158]: [1.1747, 1.1144, ..., 0.4101] (d=16)
  [159]: [0.9170, 1.1193, ..., 0.4119] (d=16)
  [160]: [1.2288, 1.3392, ..., 0.4376] (d=16)
  [161]: [1.2302, 1.4058, ..., 0.4395] (d=16)
  [162]: [1.2167, 1.4570, ..., 0.4346] (d=16)
  [163]: [1.1847, 1.4851, ..., 0.4214] (d=16)
  [164]: [1.0653, 1.4543, ..., 0.3696] (d=16)
  [165]: [0.9854, 1.3987, ..., 0.3342] (d=16)
  [166]: [0.9002, 1.3249, ..., 0.2963] (d=16)
  [167]: [0.7347, 1.1548, ..., 0.2220] (d=16)
  [168]: [0.6890, 1.1787, ..., 0.4337] (d=16)
  [169]: [0.9291, 1.4396, ..., 0.4182] (d=16)
  [170]: [0.9572, 1.5834, ..., 0.4329] (d=16)
  [171]: [1.1480, 1.4875, ..., 0.4057] (d=16)
  [172]: [0.8145, 1.4757, ..., 0.3750] (d=16)
  [173]: [0.9845, 1.4282, ..., 0.4465] (d=16)
  [174]: [0.4798, 1.4618, ..., 0.3493] (d=16)
  [175]: [-1.6174, -0.4633, ..., 0.6318] (d=16)
  [176]: [-1.4683, -0.3532, ..., 0.3248] (d=16)
  [177]: [-0.8927, -0.3008, ..., 0.1480] (d=16)
  [178]: [-0.7336, -0.2112, ..., -0.0670] (d=16)
  [179]: [-0.5528, -0.1164, ..., -0.2832] (d=16)
  [180]: [-0.6967, 0.0653, ..., -0.6542] (d=16)
  [181]: [0.0100, 0.1469, ..., -0.8282] (d=16)
  [182]: [-0.3640, 0.2149, ..., -0.9518] (d=16)
  [183]: [-0.2206, 0.2754, ..., -1.0643] (d=16)
  [184]: [0.0150, 0.3699, ..., -1.2290] (d=16)
  [185]: [0.5481, 0.3636, ..., -1.2084] (d=16)
  [186]: [-1.1261, -0.2892, ..., 0.4101] (d=16)
  [187]: [-0.5238, 0.1447, ..., -0.8155] (d=16)
  [188]: [-0.1701, 0.0670, ..., -0.6715] (d=16)
  [189]: [0.3171, 0.2746, ..., -1.0612] (d=16)
  [190]: [-0.7570, 0.6023, ..., -0.4942] (d=16)
  [191]: [-0.6226, 0.5877, ..., -0.7378] (d=16)
  [192]: [-0.9598, 0.5216, ..., -0.8897] (d=16)
  [193]: [-0.3342, 0.5059, ..., -1.0194] (d=16)
  [194]: [-0.1962, 0.4550, ..., -1.0974] (d=16)
  [195]: [-0.0437, 0.3927, ..., -1.1547] (d=16)
  [196]: [-0.1540, 0.5844, ..., -1.1698] (d=16)
  [197]: [0.4069, 0.1781, ..., -1.1775] (d=16)
  [198]: [-0.0042, 0.1139, ..., -1.1656] (d=16)
  [199]: [0.1041, 0.0544, ..., -1.1331] (d=16)
  [200]: [-0.6924, 0.5987, ..., -0.6277] (d=16)
  [201]: [-0.4518, 0.5442, ..., -0.9283] (d=16)
  [202]: [-0.1584, 0.3272, ..., -1.2036] (d=16)
  [203]: [0.5295, 0.1121, ..., -1.1473] (d=16)
  [204]: [-0.8509, 0.4882, ..., -0.9836] (d=16)
  [205]: [-0.4891, -0.7642, ..., 0.7642] (d=16)
  [206]: [0.2790, -0.4207, ..., -0.6815] (d=16)
  [207]: [0.2587, 0.4972, ..., -0.8488] (d=16)
  [208]: [0.8920, -0.1698, ..., -0.0603] (d=16)
  [209]: [-0.3784, 0.1765, ..., 0.0627] (d=16)
  [210]: [-0.8982, 0.6894, ..., -0.3119] (d=16)
  [211]: [0.4509, -1.9182, ..., 0.7241] (d=16)
  [212]: [-0.1984, 0.2943, ..., -0.9492] (d=16)
  [213]: [-0.3278, -0.5513, ..., 0.6706] (d=16)
  [214]: [0.8450, 0.5321, ..., -0.6473] (d=16)
  [215]: [-0.6257, -0.0874, ..., -0.7027] (d=16)
  [216]: [0.8405, -0.9909, ..., -1.4701] (d=16)
  [217]: [0.9940, 0.7308, ..., -0.7308] (d=16)
  [218]: [0.9940, -0.7308, ..., -0.7308] (d=16)
  [219]: [-0.4891, -0.7642, ..., -0.7642] (d=16)
  [220]: [0.2689, 0.0000, ..., 0.0000] (d=16)
  [221]: [-0.4891, 0.7642, ..., -0.7642] (d=16)
  [222]: [0.2689, 0.0000, ..., 0.0000] (d=16)
  [223]: [-0.4891, 0.7642, ..., 0.7642] (d=16)
  [224]: [-0.4891, -0.7642, ..., -0.7642] (d=16)
  [225]: [0.9940, 0.7308, ..., 0.7308] (d=16)
  [226]: [-0.4891, 0.7642, ..., 0.7642] (d=16)
  [227]: [0.9940, 0.7308, ..., 0.7308] (d=16)
  [228]: [0.9940, 0.7308, ..., 0.7308] (d=16)
  [229]: [0.4891, 0.7642, ..., 0.7642] (d=16)
  [230]: [0.9940, -0.7308, ..., -0.7308] (d=16)
  [231]: [-0.4891, 0.7642, ..., 0.7642] (d=16)
  [232]: [-0.4891, 0.7642, ..., -0.7642] (d=16)
  [233]: [0.9940, 0.7308, ..., -0.7308] (d=16)
  [234]: [0.9940, -0.7308, ..., -0.7308] (d=16)
  [235]: [0.9940, -0.7308, ..., -0.7308] (d=16)
  [236]: [0.9940, 0.7308, ..., 0.7308] (d=16)
  [237]: [0.0000, 0.0000, ..., 0.0000] (d=16)
  [238]: [0.9940, -0.7308, ..., -0.7308] (d=16)
  [239]: [0.9940, 0.7308, ..., 0.7308] (d=16)
  [240]: [-0.4891, 0.7642, ..., 0.7642] (d=16)
  [241]: [0.9940, 0.7308, ..., 0.7308] (d=16)
  [242]: [0.9940, -0.7308, ..., -0.7308] (d=16)
  [243]: [0.9940, -0.7308, ..., -0.7308] (d=16)
  [244]: [-0.4891, 0.7642, ..., 0.7642] (d=16)
  [245]: [-0.0000, -0.0000, ..., 0.0000] (d=16)
  [246]: [-0.4891, 0.7642, ..., -0.7642] (d=16)
  [247]: [-0.4891, 0.7642, ..., 0.7642] (d=16)
  [248]: [0.2689, -0.0000, ..., -0.0000] (d=16)
  [249]: [0.9940, -0.7308, ..., 0.7308] (d=16)
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  [531]: [-0.4891, -0.7642, ..., 0.7642] (d=16)
  [532]: [0.9940, -0.7308, ..., -0.7308] (d=16)
  [533]: [0.0000, -1.8932, ..., 0.0000] (d=16)
  [534]: [-0.4891, -0.7642, ..., 0.7642] (d=16)
  [535]: [0.2689, 0.0000, ..., 0.0000] (d=16)
  [536]: [-0.2689, 0.0000, ..., -0.0000] (d=16)
  [537]: [-0.4891, 0.7642, ..., 0.7642] (d=16)
  [538]: [0.9940, -0.7308, ..., 0.7308] (d=16)
  [539]: [0.9940, 0.7308, ..., 0.7308] (d=16)
  [540]: [0.9940, 0.7308, ..., 0.7308] (d=16)
  [541]: [0.9940, 0.7308, ..., -0.7308] (d=16)
  [542]: [-0.4891, -0.7642, ..., 0.7642] (d=16)
  [543]: [0.9940, 0.7308, ..., 0.7308] (d=16)
  [544]: [0.9940, 0.7308, ..., 0.7308] (d=16)
  [545]: [-0.4891, -0.7642, ..., -0.7642] (d=16)
  [546]: [-0.4891, -0.7642, ..., -0.7642] (d=16)
  [547]: [0.0000, 0.0000, ..., 0.0000] (d=16)
  [548]: [-0.4891, 0.7642, ..., -0.7642] (d=16)
  [549]: [-0.4891, 0.7642, ..., -0.7642] (d=16)
  [550]: [-0.9939, -0.7308, ..., -0.7308] (d=16)
  [551]: [0.9940, -0.7308, ..., -0.7308] (d=16)
  [552]: [0.9940, -0.7308, ..., -0.7308] (d=16)
  [553]: [-0.4891, -0.7642, ..., -0.7642] (d=16)
  [554]: [-0.4891, -0.7642, ..., 0.7642] (d=16)
  [555]: [-0.4891, -0.7642, ..., 0.7642] (d=16)
  [556]: [0.9940, 0.7308, ..., 0.7308] (d=16)
  [557]: [-0.4891, 0.7642, ..., 0.7642] (d=16)
  [558]: [0.2689, -0.6319, ..., 0.0000] (d=16)
  [559]: [-0.4891, 0.7642, ..., -0.7642] (d=16)
  [560]: [-0.4891, -0.7642, ..., -0.7642] (d=16)
  [561]: [-0.4891, 0.7642, ..., -0.7642] (d=16)
  [562]: [0.9940, -0.7308, ..., -0.7308] (d=16)
  [563]: [-0.4891, -0.7642, ..., -0.7642] (d=16)
  [564]: [-0.4891, 0.7642, ..., 0.7642] (d=16)
  [565]: [-0.4891, 0.7642, ..., -0.7642] (d=16)
  [566]: [0.9940, 0.7308, ..., -0.7308] (d=16)
  [567]: [-0.4891, -0.7642, ..., 0.7642] (d=16)
  [568]: [0.9940, -0.7308, ..., -0.7308] (d=16)
  [569]: [-0.4891, -0.7642, ..., 0.7642] (d=16)
  [570]: [0.9940, -0.7308, ..., 0.7308] (d=16)
  [571]: [-0.4891, -0.7642, ..., -0.7642] (d=16)
  [572]: [0.9940, -0.7308, ..., 0.7308] (d=16)
  [573]: [0.9940, -0.7308, ..., -0.7308] (d=16)
  [574]: [0.9940, 0.7308, ..., -0.7308] (d=16)
  [575]: [0.9940, -0.7308, ..., -0.7308] (d=16)
  [576]: [0.9940, -0.7308, ..., 0.7308] (d=16)
  [577]: [0.9940, -0.7308, ..., -0.7308] (d=16)
  [578]: [0.9940, -0.7308, ..., 0.7308] (d=16)
  [579]: [0.0000, 2.6868, ..., 0.0000] (d=16)
  [580]: [0.4891, -0.7642, ..., -0.7642] (d=16)
  [581]: [-0.4891, 0.7642, ..., 0.7642] (d=16)
  [582]: [-0.4891, -0.7642, ..., -0.7642] (d=16)
  [583]: [0.9940, 0.7308, ..., -0.7308] (d=16)
  [584]: [0.9940, -0.7308, ..., 0.7308] (d=16)
  [585]: [0.9940, 0.7308, ..., 0.7308] (d=16)
  [586]: [0.9939, -0.7308, ..., -0.7308] (d=16)
  [587]: [-0.4891, 0.7642, ..., 0.7642] (d=16)
  [588]: [-0.4891, -0.7642, ..., 0.7642] (d=16)
  [589]: [0.9940, -0.7308, ..., 0.7308] (d=16)
  [590]: [-0.4891, -0.7642, ..., 0.7642] (d=16)
  [591]: [-0.4891, -0.7642, ..., 0.7642] (d=16)
  [592]: [-0.4891, 0.7642, ..., -0.7642] (d=16)
  [593]: [0.0000, 0.0000, ..., 0.0000] (d=16)
  [594]: [-0.4891, -0.7642, ..., 0.7642] (d=16)
  [595]: [0.9940, 0.7308, ..., -0.7308] (d=16)
  [596]: [-0.4891, -0.7642, ..., -0.7642] (d=16)
  [597]: [-0.9939, -0.7308, ..., 0.7308] (d=16)
  [598]: [-0.4891, -0.7642, ..., -0.7642] (d=16)
  [599]: [0.9940, -0.7308, ..., 0.7308] (d=16)
  [600]: [-0.4891, -0.7642, ..., 0.7642] (d=16)
  [601]: [-0.4891, 0.7642, ..., 0.7642] (d=16)
  [602]: [0.9940, -0.7308, ..., 0.7308] (d=16)
  [603]: [-0.4891, 0.7642, ..., 0.7642] (d=16)
  [604]: [-0.4891, -0.7642, ..., 0.7642] (d=16)

DISTANCES (found -> nearest true):
  Found[0] -> True[0]: dist = 4.936287
  Found[1] -> True[0]: dist = 4.676769
  Found[2] -> True[0]: dist = 4.790723
  Found[3] -> True[0]: dist = 4.841755
  Found[4] -> True[0]: dist = 4.878075
  Found[5] -> True[0]: dist = 4.891366
  Found[6] -> True[0]: dist = 5.148905
  Found[7] -> True[0]: dist = 4.949079
  Found[8] -> True[0]: dist = 5.029146
  Found[9] -> True[0]: dist = 4.981339
  Found[10] -> True[0]: dist = 4.762484
  Found[11] -> True[0]: dist = 4.762484
  Found[12] -> True[0]: dist = 4.722106
  Found[13] -> True[0]: dist = 4.865898
  Found[14] -> True[0]: dist = 5.138900
  Found[15] -> True[0]: dist = 4.877845
  Found[16] -> True[0]: dist = 3.823968
  Found[17] -> True[0]: dist = 3.344583
  Found[18] -> True[0]: dist = 3.272261
  Found[19] -> True[0]: dist = 3.129818
  Found[20] -> True[0]: dist = 3.080391
  Found[21] -> True[0]: dist = 3.062093
  Found[22] -> True[0]: dist = 3.493476
  Found[23] -> True[0]: dist = 3.543646
  Found[24] -> True[0]: dist = 3.197901
  Found[25] -> True[0]: dist = 3.344586
  Found[26] -> True[0]: dist = 3.410733
  Found[27] -> True[0]: dist = 3.758700
  Found[28] -> True[0]: dist = 3.234922
  Found[29] -> True[0]: dist = 3.758703
  Found[30] -> True[0]: dist = 3.493799
  Found[31] -> True[0]: dist = 3.097049
  Found[32] -> True[0]: dist = 3.287070
  Found[33] -> True[0]: dist = 4.852930
  Found[34] -> True[0]: dist = 4.570414
  Found[35] -> True[0]: dist = 4.324412
  Found[36] -> True[0]: dist = 4.601100
  Found[37] -> True[0]: dist = 4.242641
  Found[38] -> True[0]: dist = 4.159262
  Found[39] -> True[0]: dist = 3.887329
  Found[40] -> True[0]: dist = 3.528317
  Found[41] -> True[0]: dist = 4.526079
  Found[42] -> True[0]: dist = 4.401045
  Found[43] -> True[0]: dist = 4.238841
  Found[44] -> True[0]: dist = 4.070418
  Found[45] -> True[0]: dist = 3.964858
  Found[46] -> True[0]: dist = 3.938852
  Found[47] -> True[0]: dist = 4.744445
  Found[48] -> True[0]: dist = 4.268909
  Found[49] -> True[0]: dist = 3.672909
  Found[50] -> True[0]: dist = 4.530394
  Found[51] -> True[0]: dist = 4.476056
  Found[52] -> True[0]: dist = 4.753281
  Found[53] -> True[0]: dist = 4.334937
  Found[54] -> True[0]: dist = 4.344325
  Found[55] -> True[0]: dist = 4.048027
  Found[56] -> True[0]: dist = 4.138455
  Found[57] -> True[0]: dist = 3.841554
  Found[58] -> True[0]: dist = 4.148290
  Found[59] -> True[0]: dist = 3.586981
  Found[60] -> True[0]: dist = 4.411154
  Found[61] -> True[0]: dist = 4.588061
  Found[62] -> True[0]: dist = 4.237631
  Found[63] -> True[0]: dist = 3.746711
  Found[64] -> True[0]: dist = 4.522184
  Found[65] -> True[0]: dist = 3.943326
  Found[66] -> True[0]: dist = 3.918073
  Found[67] -> True[0]: dist = 4.105252
  Found[68] -> True[0]: dist = 4.123923
  Found[69] -> True[0]: dist = 4.048027
  Found[70] -> True[0]: dist = 4.541833
  Found[71] -> True[0]: dist = 4.375716
  Found[72] -> True[0]: dist = 4.447715
  Found[73] -> True[0]: dist = 4.544087
  Found[74] -> True[0]: dist = 3.542459
  Found[75] -> True[0]: dist = 3.658165
  Found[76] -> True[0]: dist = 4.414062
  Found[77] -> True[0]: dist = 4.514111
  Found[78] -> True[0]: dist = 4.583625
  Found[79] -> True[0]: dist = 4.785144
  Found[80] -> True[0]: dist = 4.762850
  Found[81] -> True[0]: dist = 4.827106
  Found[82] -> True[0]: dist = 4.956524
  Found[83] -> True[0]: dist = 4.997414
  Found[84] -> True[0]: dist = 4.951498
  Found[85] -> True[0]: dist = 5.063822
  Found[86] -> True[0]: dist = 4.597410
  Found[87] -> True[0]: dist = 4.644053
  Found[88] -> True[0]: dist = 5.106908
  Found[89] -> True[0]: dist = 4.775176
  Found[90] -> True[0]: dist = 4.694804
  Found[91] -> True[0]: dist = 4.995487
  Found[92] -> True[0]: dist = 5.250243
  Found[93] -> True[0]: dist = 3.864244
  Found[94] -> True[0]: dist = 3.645771
  Found[95] -> True[0]: dist = 3.392610
  Found[96] -> True[0]: dist = 3.590472
  Found[97] -> True[0]: dist = 3.342034
  Found[98] -> True[0]: dist = 3.338341
  Found[99] -> True[0]: dist = 3.347404
  Found[100] -> True[0]: dist = 3.416594
  Found[101] -> True[0]: dist = 3.614071
  Found[102] -> True[0]: dist = 3.612582
  Found[103] -> True[0]: dist = 3.568431
  Found[104] -> True[0]: dist = 3.606726
  Found[105] -> True[0]: dist = 4.562819
  Found[106] -> True[0]: dist = 4.718449
  Found[107] -> True[0]: dist = 4.846095
  Found[108] -> True[0]: dist = 4.490025
  Found[109] -> True[0]: dist = 4.398448
  Found[110] -> True[0]: dist = 4.525768
  Found[111] -> True[0]: dist = 3.894536
  Found[112] -> True[0]: dist = 4.708926
  Found[113] -> True[0]: dist = 4.518141
  Found[114] -> True[0]: dist = 4.037563
  Found[115] -> True[0]: dist = 4.574066
  Found[116] -> True[0]: dist = 4.344234
  Found[117] -> True[0]: dist = 4.618104
  Found[118] -> True[0]: dist = 4.790970
  Found[119] -> True[0]: dist = 4.666921
  Found[120] -> True[0]: dist = 4.691727
  Found[121] -> True[0]: dist = 4.714228
  Found[122] -> True[0]: dist = 4.731026
  Found[123] -> True[0]: dist = 4.702238
  Found[124] -> True[0]: dist = 4.601360
  Found[125] -> True[0]: dist = 4.682152
  Found[126] -> True[0]: dist = 4.754168
  Found[127] -> True[0]: dist = 3.328559
  Found[128] -> True[0]: dist = 3.231920
  Found[129] -> True[0]: dist = 3.180227
  Found[130] -> True[0]: dist = 3.066180
  Found[131] -> True[0]: dist = 3.227050
  Found[132] -> True[0]: dist = 3.308696
  Found[133] -> True[0]: dist = 3.465024
  Found[134] -> True[0]: dist = 3.726668
  Found[135] -> True[0]: dist = 3.646479
  Found[136] -> True[0]: dist = 3.394901
  Found[137] -> True[0]: dist = 3.081560
  Found[138] -> True[0]: dist = 3.136650
  Found[139] -> True[0]: dist = 3.446188
  Found[140] -> True[0]: dist = 3.447959
  Found[141] -> True[0]: dist = 3.266705
  Found[142] -> True[0]: dist = 3.652633
  Found[143] -> True[0]: dist = 4.099755
  Found[144] -> True[0]: dist = 3.959863
  Found[145] -> True[0]: dist = 4.493962
  Found[146] -> True[0]: dist = 4.559536
  Found[147] -> True[0]: dist = 4.256256
  Found[148] -> True[0]: dist = 4.310323
  Found[149] -> True[0]: dist = 4.355032
  Found[150] -> True[0]: dist = 4.391501
  Found[151] -> True[0]: dist = 3.859603
  Found[152] -> True[0]: dist = 3.900704
  Found[153] -> True[0]: dist = 4.380237
  Found[154] -> True[0]: dist = 4.704081
  Found[155] -> True[0]: dist = 3.901511
  Found[156] -> True[0]: dist = 4.158490
  Found[157] -> True[0]: dist = 4.311485
  Found[158] -> True[0]: dist = 3.309349
  Found[159] -> True[0]: dist = 3.535245
  Found[160] -> True[0]: dist = 3.259981
  Found[161] -> True[0]: dist = 3.258621
  Found[162] -> True[0]: dist = 3.271089
  Found[163] -> True[0]: dist = 3.300270
  Found[164] -> True[0]: dist = 3.407117
  Found[165] -> True[0]: dist = 3.476717
  Found[166] -> True[0]: dist = 3.549471
  Found[167] -> True[0]: dist = 3.686725
  Found[168] -> True[0]: dist = 3.723747
  Found[169] -> True[0]: dist = 3.524929
  Found[170] -> True[0]: dist = 3.500945
  Found[171] -> True[0]: dist = 3.333479
  Found[172] -> True[0]: dist = 3.621182
  Found[173] -> True[0]: dist = 3.477538
  Found[174] -> True[0]: dist = 3.888619
  Found[175] -> True[0]: dist = 5.263509
  Found[176] -> True[0]: dist = 5.177826
  Found[177] -> True[0]: dist = 4.832814
  Found[178] -> True[0]: dist = 4.733002
  Found[179] -> True[0]: dist = 4.617002
  Found[180] -> True[0]: dist = 4.709589
  Found[181] -> True[0]: dist = 4.235545
  Found[182] -> True[0]: dist = 4.492659
  Found[183] -> True[0]: dist = 4.395877
  Found[184] -> True[0]: dist = 4.232022
  Found[185] -> True[0]: dist = 3.835569
  Found[186] -> True[0]: dist = 4.975602
  Found[187] -> True[0]: dist = 4.598156
  Found[188] -> True[0]: dist = 4.361295
  Found[189] -> True[0]: dist = 4.012184
  Found[190] -> True[0]: dist = 4.747837
  Found[191] -> True[0]: dist = 4.662160
  Found[192] -> True[0]: dist = 4.874289
  Found[193] -> True[0]: dist = 4.472705
  Found[194] -> True[0]: dist = 4.379182
  Found[195] -> True[0]: dist = 4.273452
  Found[196] -> True[0]: dist = 4.350154
  Found[197] -> True[0]: dist = 3.944452
  Found[198] -> True[0]: dist = 4.245579
  Found[199] -> True[0]: dist = 4.168376
  Found[200] -> True[0]: dist = 4.706860
  Found[201] -> True[0]: dist = 4.550938
  Found[202] -> True[0]: dist = 4.353220
  Found[203] -> True[0]: dist = 3.850042
  Found[204] -> True[0]: dist = 4.806835
  Found[205] -> True[0]: dist = 4.575440
  Found[206] -> True[0]: dist = 4.040508
  Found[207] -> True[0]: dist = 4.055594
  Found[208] -> True[0]: dist = 3.556407
  Found[209] -> True[0]: dist = 4.502247
  Found[210] -> True[0]: dist = 4.836214
  Found[211] -> True[0]: dist = 3.910835
  Found[212] -> True[0]: dist = 4.380694
  Found[213] -> True[0]: dist = 4.468444
  Found[214] -> True[0]: dist = 3.595808
  Found[215] -> True[0]: dist = 4.664123
  Found[216] -> True[0]: dist = 3.599610
  Found[217] -> True[0]: dist = 3.469335
  Found[218] -> True[0]: dist = 3.469335
  Found[219] -> True[0]: dist = 4.575440
  Found[220] -> True[0]: dist = 4.048027
  Found[221] -> True[0]: dist = 4.575440
  Found[222] -> True[0]: dist = 4.048027
  Found[223] -> True[0]: dist = 4.575440
  Found[224] -> True[0]: dist = 4.575440
  Found[225] -> True[0]: dist = 3.469335
  Found[226] -> True[0]: dist = 4.575440
  Found[227] -> True[0]: dist = 3.469335
  Found[228] -> True[0]: dist = 3.469335
  Found[229] -> True[0]: dist = 3.881409
  Found[230] -> True[0]: dist = 3.469335
  Found[231] -> True[0]: dist = 4.575440
  Found[232] -> True[0]: dist = 4.575440
  Found[233] -> True[0]: dist = 3.469335
  Found[234] -> True[0]: dist = 3.469335
  Found[235] -> True[0]: dist = 3.469335
  Found[236] -> True[0]: dist = 3.469335
  Found[237] -> True[0]: dist = 4.242641
  Found[238] -> True[0]: dist = 3.469335
  Found[239] -> True[0]: dist = 3.469335
  Found[240] -> True[0]: dist = 4.575440
  Found[241] -> True[0]: dist = 3.469335
  Found[242] -> True[0]: dist = 3.469335
  Found[243] -> True[0]: dist = 3.469335
  Found[244] -> True[0]: dist = 4.575441
  Found[245] -> True[0]: dist = 4.242641
  Found[246] -> True[0]: dist = 4.575440
  Found[247] -> True[0]: dist = 4.575440
  Found[248] -> True[0]: dist = 4.048027
  Found[249] -> True[0]: dist = 3.469335
  Found[250] -> True[0]: dist = 3.469335
  Found[251] -> True[0]: dist = 4.575440
  Found[252] -> True[0]: dist = 4.575440
  Found[253] -> True[0]: dist = 4.575440
  Found[254] -> True[0]: dist = 4.242641
  Found[255] -> True[0]: dist = 3.469335
  Found[256] -> True[0]: dist = 3.469335
  Found[257] -> True[0]: dist = 4.575440
  Found[258] -> True[0]: dist = 3.469335
  Found[259] -> True[0]: dist = 3.469335
  Found[260] -> True[0]: dist = 3.469335
  Found[261] -> True[0]: dist = 3.469335
  Found[262] -> True[0]: dist = 3.469335
  Found[263] -> True[0]: dist = 3.469335
  Found[264] -> True[0]: dist = 3.469335
  Found[265] -> True[0]: dist = 3.469335
  Found[266] -> True[0]: dist = 4.575440
  Found[267] -> True[0]: dist = 4.575440
  Found[268] -> True[0]: dist = 4.242641
  Found[269] -> True[0]: dist = 3.911382
  Found[270] -> True[0]: dist = 3.469339
  Found[271] -> True[0]: dist = 4.575440
  Found[272] -> True[0]: dist = 4.575440
  Found[273] -> True[0]: dist = 3.469335
  Found[274] -> True[0]: dist = 4.575440
  Found[275] -> True[0]: dist = 3.469335
  Found[276] -> True[0]: dist = 4.575440
  Found[277] -> True[0]: dist = 3.469335
  Found[278] -> True[0]: dist = 3.469335
  Found[279] -> True[0]: dist = 4.048027
  Found[280] -> True[0]: dist = 4.575440
  Found[281] -> True[0]: dist = 4.575440
  Found[282] -> True[0]: dist = 3.469335
  Found[283] -> True[0]: dist = 4.575440
  Found[284] -> True[0]: dist = 3.469335
  Found[285] -> True[0]: dist = 3.469335
  Found[286] -> True[0]: dist = 4.575440
  Found[287] -> True[0]: dist = 4.048027
  Found[288] -> True[0]: dist = 3.469335
  Found[289] -> True[0]: dist = 4.048027
  Found[290] -> True[0]: dist = 4.575440
  Found[291] -> True[0]: dist = 4.575440
  Found[292] -> True[0]: dist = 3.469335
  Found[293] -> True[0]: dist = 3.469335
  Found[294] -> True[0]: dist = 4.575440
  Found[295] -> True[0]: dist = 3.469335
  Found[296] -> True[0]: dist = 4.048027
  Found[297] -> True[0]: dist = 4.575440
  Found[298] -> True[0]: dist = 3.469335
  Found[299] -> True[0]: dist = 4.575440
  Found[300] -> True[0]: dist = 5.096797
  Found[301] -> True[0]: dist = 4.575440
  Found[302] -> True[0]: dist = 4.575440
  Found[303] -> True[0]: dist = 4.575440
  Found[304] -> True[0]: dist = 4.575440
  Found[305] -> True[0]: dist = 4.575440
  Found[306] -> True[0]: dist = 3.469335
  Found[307] -> True[0]: dist = 4.575440
  Found[308] -> True[0]: dist = 4.575440
  Found[309] -> True[0]: dist = 3.469335
  Found[310] -> True[0]: dist = 4.242641
  Found[311] -> True[0]: dist = 3.469335
  Found[312] -> True[0]: dist = 4.575440
  Found[313] -> True[0]: dist = 3.469335
  Found[314] -> True[0]: dist = 3.469335
  Found[315] -> True[0]: dist = 3.469335
  Found[316] -> True[0]: dist = 4.575440
  Found[317] -> True[0]: dist = 3.469335
  Found[318] -> True[0]: dist = 4.575440
  Found[319] -> True[0]: dist = 4.575440
  Found[320] -> True[0]: dist = 4.575440
  Found[321] -> True[0]: dist = 4.575440
  Found[322] -> True[0]: dist = 4.575440
  Found[323] -> True[0]: dist = 4.575440
  Found[324] -> True[0]: dist = 3.469335
  Found[325] -> True[0]: dist = 4.575440
  Found[326] -> True[0]: dist = 4.752409
  Found[327] -> True[0]: dist = 4.575440
  Found[328] -> True[0]: dist = 4.575440
  Found[329] -> True[0]: dist = 3.469335
  Found[330] -> True[0]: dist = 4.575440
  Found[331] -> True[0]: dist = 3.469335
  Found[332] -> True[0]: dist = 3.469335
  Found[333] -> True[0]: dist = 3.469335
  Found[334] -> True[0]: dist = 4.048027
  Found[335] -> True[0]: dist = 4.575441
  Found[336] -> True[0]: dist = 3.469335
  Found[337] -> True[0]: dist = 3.469335
  Found[338] -> True[0]: dist = 4.575440
  Found[339] -> True[0]: dist = 4.575440
  Found[340] -> True[0]: dist = 4.575440
  Found[341] -> True[0]: dist = 4.575440
  Found[342] -> True[0]: dist = 3.469335
  Found[343] -> True[0]: dist = 3.469335
  Found[344] -> True[0]: dist = 0.000000
  Found[345] -> True[0]: dist = 3.469335
  Found[346] -> True[0]: dist = 3.469335
  Found[347] -> True[0]: dist = 4.575440
  Found[348] -> True[0]: dist = 3.469335
  Found[349] -> True[0]: dist = 3.469335
  Found[350] -> True[0]: dist = 3.469335
  Found[351] -> True[0]: dist = 4.575441
  Found[352] -> True[0]: dist = 3.469335
  Found[353] -> True[0]: dist = 3.469335
  Found[354] -> True[0]: dist = 4.575440
  Found[355] -> True[0]: dist = 3.469335
  Found[356] -> True[0]: dist = 4.575440
  Found[357] -> True[0]: dist = 3.469335
  Found[358] -> True[0]: dist = 4.048027
  Found[359] -> True[0]: dist = 4.575440
  Found[360] -> True[0]: dist = 3.469334
  Found[361] -> True[0]: dist = 3.469335
  Found[362] -> True[0]: dist = 4.575440
  Found[363] -> True[0]: dist = 4.575440
  Found[364] -> True[0]: dist = 4.575440
  Found[365] -> True[0]: dist = 4.048027
  Found[366] -> True[0]: dist = 3.469335
  Found[367] -> True[0]: dist = 4.575440
  Found[368] -> True[0]: dist = 3.469335
  Found[369] -> True[0]: dist = 4.575440
  Found[370] -> True[0]: dist = 4.575441
  Found[371] -> True[0]: dist = 3.881409
  Found[372] -> True[0]: dist = 4.575440
  Found[373] -> True[0]: dist = 4.575440
  Found[374] -> True[0]: dist = 4.575440
  Found[375] -> True[0]: dist = 3.469335
  Found[376] -> True[0]: dist = 3.469335
  Found[377] -> True[0]: dist = 4.575440
  Found[378] -> True[0]: dist = 3.469335
  Found[379] -> True[0]: dist = 4.575440
  Found[380] -> True[0]: dist = 4.048027
  Found[381] -> True[0]: dist = 3.469335
  Found[382] -> True[0]: dist = 3.469335
  Found[383] -> True[0]: dist = 4.575440
  Found[384] -> True[0]: dist = 4.575440
  Found[385] -> True[0]: dist = 4.895275
  Found[386] -> True[0]: dist = 4.575440
  Found[387] -> True[0]: dist = 4.575440
  Found[388] -> True[0]: dist = 3.881412
  Found[389] -> True[0]: dist = 4.575440
  Found[390] -> True[0]: dist = 3.469335
  Found[391] -> True[0]: dist = 3.469335
  Found[392] -> True[0]: dist = 4.048027
  Found[393] -> True[0]: dist = 3.469335
  Found[394] -> True[0]: dist = 4.575440
  Found[395] -> True[0]: dist = 4.575440
  Found[396] -> True[0]: dist = 3.469335
  Found[397] -> True[0]: dist = 4.048027
  Found[398] -> True[0]: dist = 4.895275
  Found[399] -> True[0]: dist = 4.575440
  Found[400] -> True[0]: dist = 3.469335
  Found[401] -> True[0]: dist = 4.575440
  Found[402] -> True[0]: dist = 4.575440
  Found[403] -> True[0]: dist = 4.575440
  Found[404] -> True[0]: dist = 4.575440
  Found[405] -> True[0]: dist = 3.469335
  Found[406] -> True[0]: dist = 3.469339
  Found[407] -> True[0]: dist = 3.469335
  Found[408] -> True[0]: dist = 3.469335
  Found[409] -> True[0]: dist = 4.575440
  Found[410] -> True[0]: dist = 3.469335
  Found[411] -> True[0]: dist = 4.575440
  Found[412] -> True[0]: dist = 4.575441
  Found[413] -> True[0]: dist = 3.881409
  Found[414] -> True[0]: dist = 1.772299
  Found[415] -> True[0]: dist = 3.469335
  Found[416] -> True[0]: dist = 3.469335
  Found[417] -> True[0]: dist = 4.575440
  Found[418] -> True[0]: dist = 4.575440
  Found[419] -> True[0]: dist = 2.403919
  Found[420] -> True[0]: dist = 4.048027
  Found[421] -> True[0]: dist = 3.469335
  Found[422] -> True[0]: dist = 3.881412
  Found[423] -> True[0]: dist = 4.048027
  Found[424] -> True[0]: dist = 3.469335
  Found[425] -> True[0]: dist = 3.469335
  Found[426] -> True[0]: dist = 3.469335
  Found[427] -> True[0]: dist = 2.732933
  Found[428] -> True[0]: dist = 4.575440
  Found[429] -> True[0]: dist = 4.575440
  Found[430] -> True[0]: dist = 4.575440
  Found[431] -> True[0]: dist = 3.469335
  Found[432] -> True[0]: dist = 3.469335
  Found[433] -> True[0]: dist = 3.469335
  Found[434] -> True[0]: dist = 4.242641
  Found[435] -> True[0]: dist = 3.469335
  Found[436] -> True[0]: dist = 3.469335
  Found[437] -> True[0]: dist = 4.575440
  Found[438] -> True[0]: dist = 4.575440
  Found[439] -> True[0]: dist = 3.469335
  Found[440] -> True[0]: dist = 4.575440
  Found[441] -> True[0]: dist = 3.469335
  Found[442] -> True[0]: dist = 3.469335
  Found[443] -> True[0]: dist = 3.469335
  Found[444] -> True[0]: dist = 4.575440
  Found[445] -> True[0]: dist = 3.469335
  Found[446] -> True[0]: dist = 4.242641
  Found[447] -> True[0]: dist = 3.469335
  Found[448] -> True[0]: dist = 3.469335
  Found[449] -> True[0]: dist = 3.469335
  Found[450] -> True[0]: dist = 4.575441
  Found[451] -> True[0]: dist = 4.048027
  Found[452] -> True[0]: dist = 4.575440
  Found[453] -> True[0]: dist = 3.469334
  Found[454] -> True[0]: dist = 4.575440
  Found[455] -> True[0]: dist = 3.881409
  Found[456] -> True[0]: dist = 4.575440
  Found[457] -> True[0]: dist = 3.469335
  Found[458] -> True[0]: dist = 3.469335
  Found[459] -> True[0]: dist = 4.252953
  Found[460] -> True[0]: dist = 3.469339
  Found[461] -> True[0]: dist = 4.575440
  Found[462] -> True[0]: dist = 5.823731
  Found[463] -> True[0]: dist = 4.575440
  Found[464] -> True[0]: dist = 3.469335
  Found[465] -> True[0]: dist = 4.575440
  Found[466] -> True[0]: dist = 4.575440
  Found[467] -> True[0]: dist = 4.575441
  Found[468] -> True[0]: dist = 4.575440
  Found[469] -> True[0]: dist = 3.469335
  Found[470] -> True[0]: dist = 4.575440
  Found[471] -> True[0]: dist = 3.469335
  Found[472] -> True[0]: dist = 4.575440
  Found[473] -> True[0]: dist = 4.575440
  Found[474] -> True[0]: dist = 4.575440
  Found[475] -> True[0]: dist = 3.881409
  Found[476] -> True[0]: dist = 3.469335
  Found[477] -> True[0]: dist = 3.469335
  Found[478] -> True[0]: dist = 3.469334
  Found[479] -> True[0]: dist = 4.575440
  Found[480] -> True[0]: dist = 4.895272
  Found[481] -> True[0]: dist = 4.575440
  Found[482] -> True[0]: dist = 3.469335
  Found[483] -> True[0]: dist = 3.881409
  Found[484] -> True[0]: dist = 3.469335
  Found[485] -> True[0]: dist = 3.469335
  Found[486] -> True[0]: dist = 4.048027
  Found[487] -> True[0]: dist = 3.469335
  Found[488] -> True[0]: dist = 3.469335
  Found[489] -> True[0]: dist = 3.469335
  Found[490] -> True[0]: dist = 6.000000
  Found[491] -> True[0]: dist = 3.469335
  Found[492] -> True[0]: dist = 4.575440
  Found[493] -> True[0]: dist = 3.469335
  Found[494] -> True[0]: dist = 4.575440
  Found[495] -> True[0]: dist = 3.469335
  Found[496] -> True[0]: dist = 3.469335
  Found[497] -> True[0]: dist = 4.048027
  Found[498] -> True[0]: dist = 3.469334
  Found[499] -> True[0]: dist = 4.575440
  Found[500] -> True[0]: dist = 3.469335
  Found[501] -> True[0]: dist = 4.575440
  Found[502] -> True[0]: dist = 4.575440
  Found[503] -> True[0]: dist = 3.469335
  Found[504] -> True[0]: dist = 4.575440
  Found[505] -> True[0]: dist = 4.575440
  Found[506] -> True[0]: dist = 4.575440
  Found[507] -> True[0]: dist = 3.469335
  Found[508] -> True[0]: dist = 3.469335
  Found[509] -> True[0]: dist = 4.575440
  Found[510] -> True[0]: dist = 4.575440
  Found[511] -> True[0]: dist = 4.575440
  Found[512] -> True[0]: dist = 3.469335
  Found[513] -> True[0]: dist = 3.469335
  Found[514] -> True[0]: dist = 4.575440
  Found[515] -> True[0]: dist = 4.575440
  Found[516] -> True[0]: dist = 4.575440
  Found[517] -> True[0]: dist = 4.575440
  Found[518] -> True[0]: dist = 4.575440
  Found[519] -> True[0]: dist = 4.575440
  Found[520] -> True[0]: dist = 4.575441
  Found[521] -> True[0]: dist = 4.575440
  Found[522] -> True[0]: dist = 3.469335
  Found[523] -> True[0]: dist = 4.575440
  Found[524] -> True[0]: dist = 4.428711
  Found[525] -> True[0]: dist = 3.469335
  Found[526] -> True[0]: dist = 3.469335
  Found[527] -> True[0]: dist = 4.575440
  Found[528] -> True[0]: dist = 3.469335
  Found[529] -> True[0]: dist = 3.469335
  Found[530] -> True[0]: dist = 4.575440
  Found[531] -> True[0]: dist = 4.575440
  Found[532] -> True[0]: dist = 3.469335
  Found[533] -> True[0]: dist = 4.242641
  Found[534] -> True[0]: dist = 4.575440
  Found[535] -> True[0]: dist = 4.048027
  Found[536] -> True[0]: dist = 4.428711
  Found[537] -> True[0]: dist = 4.575440
  Found[538] -> True[0]: dist = 3.469335
  Found[539] -> True[0]: dist = 3.469335
  Found[540] -> True[0]: dist = 3.469335
  Found[541] -> True[0]: dist = 3.469335
  Found[542] -> True[0]: dist = 4.575440
  Found[543] -> True[0]: dist = 3.469335
  Found[544] -> True[0]: dist = 3.469335
  Found[545] -> True[0]: dist = 4.575440
  Found[546] -> True[0]: dist = 4.575440
  Found[547] -> True[0]: dist = 4.242641
  Found[548] -> True[0]: dist = 4.575440
  Found[549] -> True[0]: dist = 4.575439
  Found[550] -> True[0]: dist = 4.895272
  Found[551] -> True[0]: dist = 3.469335
  Found[552] -> True[0]: dist = 3.469335
  Found[553] -> True[0]: dist = 4.575440
  Found[554] -> True[0]: dist = 4.575440
  Found[555] -> True[0]: dist = 4.575440
  Found[556] -> True[0]: dist = 3.469335
  Found[557] -> True[0]: dist = 4.575440
  Found[558] -> True[0]: dist = 4.048027
  Found[559] -> True[0]: dist = 4.575440
  Found[560] -> True[0]: dist = 4.575440
  Found[561] -> True[0]: dist = 4.575440
  Found[562] -> True[0]: dist = 3.469335
  Found[563] -> True[0]: dist = 4.575440
  Found[564] -> True[0]: dist = 4.575440
  Found[565] -> True[0]: dist = 4.575440
  Found[566] -> True[0]: dist = 3.469335
  Found[567] -> True[0]: dist = 4.575440
  Found[568] -> True[0]: dist = 3.469335
  Found[569] -> True[0]: dist = 4.575440
  Found[570] -> True[0]: dist = 3.469335
  Found[571] -> True[0]: dist = 4.575441
  Found[572] -> True[0]: dist = 3.469335
  Found[573] -> True[0]: dist = 3.469335
  Found[574] -> True[0]: dist = 3.469335
  Found[575] -> True[0]: dist = 3.469335
  Found[576] -> True[0]: dist = 3.469335
  Found[577] -> True[0]: dist = 3.469335
  Found[578] -> True[0]: dist = 3.469335
  Found[579] -> True[0]: dist = 4.242641
  Found[580] -> True[0]: dist = 3.881412
  Found[581] -> True[0]: dist = 4.575441
  Found[582] -> True[0]: dist = 4.575440
  Found[583] -> True[0]: dist = 3.469335
  Found[584] -> True[0]: dist = 3.469335
  Found[585] -> True[0]: dist = 3.469335
  Found[586] -> True[0]: dist = 3.469339
  Found[587] -> True[0]: dist = 4.575440
  Found[588] -> True[0]: dist = 4.575440
  Found[589] -> True[0]: dist = 3.469335
  Found[590] -> True[0]: dist = 4.575440
  Found[591] -> True[0]: dist = 4.575440
  Found[592] -> True[0]: dist = 4.575440
  Found[593] -> True[0]: dist = 4.242641
  Found[594] -> True[0]: dist = 4.575440
  Found[595] -> True[0]: dist = 3.469335
  Found[596] -> True[0]: dist = 4.575440
  Found[597] -> True[0]: dist = 4.895272
  Found[598] -> True[0]: dist = 4.575440
  Found[599] -> True[0]: dist = 3.469335
  Found[600] -> True[0]: dist = 4.575440
  Found[601] -> True[0]: dist = 4.575440
  Found[602] -> True[0]: dist = 3.469335
  Found[603] -> True[0]: dist = 4.575440
  Found[604] -> True[0]: dist = 4.575440

----------------------------------------------------------------------
Function: twisted_t1.0_16D
Dimension: 16
Status: SUCCESS
Error: 0.3823 log units

TRUE PEAKS (1):
  [0]: [0.0000, 0.0000, ..., 0.0000] (d=16)

FOUND PEAKS (1):
  [0]: [0.0000, 0.0000, ..., 0.0000] (d=16)

DISTANCES (found -> nearest true):
  Found[0] -> True[0]: dist = 0.000000

----------------------------------------------------------------------
Function: skew_normal_a5.0_16D
Dimension: 16
Status: SUCCESS
Error: 6.5242 log units

TRUE PEAKS (1):
  [0]: [0.3700, 0.3700, ..., 0.3700] (d=16)

FOUND PEAKS (1):
  [0]: [0.3705, 0.3705, ..., 0.3705] (d=16)

DISTANCES (found -> nearest true):
  Found[0] -> True[0]: dist = 0.002007

----------------------------------------------------------------------
Function: bimodal_w0.9_16D
Dimension: 16
Status: SUCCESS
Error: 0.0002 log units

TRUE PEAKS (2):
  [0]: [0.0000, 0.0000, ..., 0.0000] (d=16)
  [1]: [5.0000, 0.0000, ..., 0.0000] (d=16)

FOUND PEAKS (2):
  [0]: [4.9998, -0.0000, ..., -0.0000] (d=16)
  [1]: [0.0000, 0.0000, ..., 0.0000] (d=16)

DISTANCES (found -> nearest true):
  Found[0] -> True[1]: dist = 0.000168
  Found[1] -> True[0]: dist = 0.000002

----------------------------------------------------------------------
Function: student_t_nu3.0_24D
Dimension: 24
Status: SUCCESS
Error: 8.3847 log units

TRUE PEAKS (1):
  [0]: [0.0000, 0.0000, ..., 0.0000] (d=24)

FOUND PEAKS (1):
  [0]: [-0.0000, 0.0000, ..., 0.0000] (d=24)

DISTANCES (found -> nearest true):
  Found[0] -> True[0]: dist = 0.000000

----------------------------------------------------------------------
Function: student_t_cauchy_24D
Dimension: 24
Status: SUCCESS
Error: 0.0268 log units

TRUE PEAKS (1):
  [0]: [0.0000, 0.0000, ..., 0.0000] (d=24)

FOUND PEAKS (1):
  [0]: [0.0000, 0.0000, ..., 0.0000] (d=24)

DISTANCES (found -> nearest true):
  Found[0] -> True[0]: dist = 0.000000

----------------------------------------------------------------------
Function: banana_b0.1_24D
Dimension: 24
Status: SUCCESS
Error: 0.0082 log units

TRUE PEAKS (1):
  [0]: [0.0000, 0.0000, ..., 0.0000] (d=24)

FOUND PEAKS (1):
  [0]: [0.0000, 0.0000, ..., 0.0000] (d=24)

DISTANCES (found -> nearest true):
  Found[0] -> True[0]: dist = 0.000000

----------------------------------------------------------------------
Function: funnel_sigma3.0_24D
Dimension: 24
Status: SUCCESS

TRUE PEAKS (1):
  [0]: [0.0000, 0.0000, ..., 0.0000] (d=24)

FOUND PEAKS: None found

----------------------------------------------------------------------
Function: exp_power_beta1.0_24D
Dimension: 24
Status: SUCCESS
Error: 2.8746 log units

TRUE PEAKS (1):
  [0]: [0.0000, 0.0000, ..., 0.0000] (d=24)

FOUND PEAKS (1):
  [0]: [0.0000, 0.0000, ..., 0.0000] (d=24)

DISTANCES (found -> nearest true):
  Found[0] -> True[0]: dist = 0.000000

----------------------------------------------------------------------
Function: twisted_t1.0_24D
Dimension: 24
Status: SUCCESS
Error: 0.3805 log units

TRUE PEAKS (1):
  [0]: [0.0000, 0.0000, ..., 0.0000] (d=24)

FOUND PEAKS (1):
  [0]: [0.0000, 0.0000, ..., 0.0000] (d=24)

DISTANCES (found -> nearest true):
  Found[0] -> True[0]: dist = 0.000000

----------------------------------------------------------------------
Function: skew_normal_a5.0_24D
Dimension: 24
Status: SUCCESS
Error: 7.8927 log units

TRUE PEAKS (1):
  [0]: [0.3700, 0.3700, ..., 0.3700] (d=24)

FOUND PEAKS (1):
  [0]: [0.3705, 0.3705, ..., 0.3705] (d=24)

DISTANCES (found -> nearest true):
  Found[0] -> True[0]: dist = 0.002458

----------------------------------------------------------------------
Function: bimodal_w0.9_24D
Dimension: 24
Status: SUCCESS
Error: 0.0002 log units

TRUE PEAKS (2):
  [0]: [0.0000, 0.0000, ..., 0.0000] (d=24)
  [1]: [5.0000, 0.0000, ..., 0.0000] (d=24)

FOUND PEAKS (2):
  [0]: [4.9998, -0.0000, ..., -0.0000] (d=24)
  [1]: [0.0000, 0.0000, ..., 0.0000] (d=24)

DISTANCES (found -> nearest true):
  Found[0] -> True[1]: dist = 0.000168
  Found[1] -> True[0]: dist = 0.000002

----------------------------------------------------------------------
Function: student_t_nu3.0_32D
Dimension: 32
Status: SUCCESS
Error: 11.6391 log units

TRUE PEAKS (1):
  [0]: [0.0000, 0.0000, ..., 0.0000] (d=32)

FOUND PEAKS (1):
  [0]: [0.0000, 0.0000, ..., 0.0000] (d=32)

DISTANCES (found -> nearest true):
  Found[0] -> True[0]: dist = 0.000000

----------------------------------------------------------------------
Function: student_t_cauchy_32D
Dimension: 32
Status: SUCCESS

TRUE PEAKS (1):
  [0]: [0.0000, 0.0000, ..., 0.0000] (d=32)

FOUND PEAKS: None found

----------------------------------------------------------------------
Function: banana_b0.1_32D
Dimension: 32
Status: SUCCESS
Error: 0.0086 log units

TRUE PEAKS (1):
  [0]: [0.0000, 0.0000, ..., 0.0000] (d=32)

FOUND PEAKS (1):
  [0]: [0.0000, 0.0000, ..., 0.0000] (d=32)

DISTANCES (found -> nearest true):
  Found[0] -> True[0]: dist = 0.000000

----------------------------------------------------------------------
Function: funnel_sigma3.0_32D
Dimension: 32
Status: SUCCESS

TRUE PEAKS (1):
  [0]: [0.0000, 0.0000, ..., 0.0000] (d=32)

FOUND PEAKS: None found

----------------------------------------------------------------------
Function: exp_power_beta1.0_32D
Dimension: 32
Status: SUCCESS
Error: 2.4327 log units

TRUE PEAKS (1):
  [0]: [0.0000, 0.0000, ..., 0.0000] (d=32)

FOUND PEAKS (1):
  [0]: [0.0000, 0.0000, ..., 0.0000] (d=32)

DISTANCES (found -> nearest true):
  Found[0] -> True[0]: dist = 0.000000

----------------------------------------------------------------------
Function: twisted_t1.0_32D
Dimension: 32
Status: SUCCESS
Error: 0.3818 log units

TRUE PEAKS (1):
  [0]: [0.0000, 0.0000, ..., 0.0000] (d=32)

FOUND PEAKS (1):
  [0]: [0.0000, 0.0000, ..., 0.0000] (d=32)

DISTANCES (found -> nearest true):
  Found[0] -> True[0]: dist = 0.000000

----------------------------------------------------------------------
Function: skew_normal_a5.0_32D
Dimension: 32
Status: SUCCESS
Error: 11.7633 log units

TRUE PEAKS (1):
  [0]: [0.3700, 0.3700, ..., 0.3700] (d=32)

FOUND PEAKS (1):
  [0]: [0.3705, 0.3705, ..., 0.3705] (d=32)

DISTANCES (found -> nearest true):
  Found[0] -> True[0]: dist = 0.002839

----------------------------------------------------------------------
Function: bimodal_w0.9_32D
Dimension: 32
Status: SUCCESS
Error: 0.0002 log units

TRUE PEAKS (2):
  [0]: [0.0000, 0.0000, ..., 0.0000] (d=32)
  [1]: [5.0000, 0.0000, ..., 0.0000] (d=32)

FOUND PEAKS (2):
  [0]: [4.9998, 0.0000, ..., -0.0000] (d=32)
  [1]: [0.0000, 0.0000, ..., 0.0000] (d=32)

DISTANCES (found -> nearest true):
  Found[0] -> True[1]: dist = 0.000168
  Found[1] -> True[0]: dist = 0.000002

----------------------------------------------------------------------
Function: student_t_nu3.0_48D
Dimension: 48
Status: SUCCESS
Error: 20.7512 log units

TRUE PEAKS (1):
  [0]: [0.0000, 0.0000, ..., 0.0000] (d=48)

FOUND PEAKS (1):
  [0]: [-0.0000, 0.0000, ..., 0.0000] (d=48)

DISTANCES (found -> nearest true):
  Found[0] -> True[0]: dist = 0.000000

----------------------------------------------------------------------
Function: student_t_cauchy_48D
Dimension: 48
Status: SUCCESS
Error: 0.0330 log units

TRUE PEAKS (1):
  [0]: [0.0000, 0.0000, ..., 0.0000] (d=48)

FOUND PEAKS (1):
  [0]: [-0.0000, 0.0000, ..., 0.0000] (d=48)

DISTANCES (found -> nearest true):
  Found[0] -> True[0]: dist = 0.000000

----------------------------------------------------------------------
Function: banana_b0.1_48D
Dimension: 48
Status: SUCCESS
Error: 0.0074 log units

TRUE PEAKS (1):
  [0]: [0.0000, 0.0000, ..., 0.0000] (d=48)

FOUND PEAKS (1):
  [0]: [0.0000, 0.0000, ..., 0.0000] (d=48)

DISTANCES (found -> nearest true):
  Found[0] -> True[0]: dist = 0.000000

----------------------------------------------------------------------
Function: funnel_sigma3.0_48D
Dimension: 48
Status: SUCCESS

TRUE PEAKS (1):
  [0]: [0.0000, 0.0000, ..., 0.0000] (d=48)

FOUND PEAKS: None found

----------------------------------------------------------------------
Function: exp_power_beta1.0_48D
Dimension: 48
Status: SUCCESS
Error: 48.4689 log units

TRUE PEAKS (1):
  [0]: [0.0000, 0.0000, ..., 0.0000] (d=48)

FOUND PEAKS (1):
  [0]: [-0.0000, 0.0000, ..., 0.0000] (d=48)

DISTANCES (found -> nearest true):
  Found[0] -> True[0]: dist = 0.000000

----------------------------------------------------------------------
Function: twisted_t1.0_48D
Dimension: 48
Status: SUCCESS
Error: 0.3820 log units

TRUE PEAKS (1):
  [0]: [0.0000, 0.0000, ..., 0.0000] (d=48)

FOUND PEAKS (1):
  [0]: [-0.0000, -0.0000, ..., 0.0000] (d=48)

DISTANCES (found -> nearest true):
  Found[0] -> True[0]: dist = 0.000000

----------------------------------------------------------------------
Function: skew_normal_a5.0_48D
Dimension: 48
Status: SUCCESS
Error: 17.5227 log units

TRUE PEAKS (1):
  [0]: [0.3700, 0.3700, ..., 0.3700] (d=48)

FOUND PEAKS (1):
  [0]: [0.3705, 0.3705, ..., 0.3705] (d=48)

DISTANCES (found -> nearest true):
  Found[0] -> True[0]: dist = 0.003477

----------------------------------------------------------------------
Function: bimodal_w0.9_48D
Dimension: 48
Status: SUCCESS
Error: 0.0002 log units

TRUE PEAKS (2):
  [0]: [0.0000, 0.0000, ..., 0.0000] (d=48)
  [1]: [5.0000, 0.0000, ..., 0.0000] (d=48)

FOUND PEAKS (2):
  [0]: [0.0000, -0.0000, ..., -0.0000] (d=48)
  [1]: [4.9998, 0.0000, ..., 0.0000] (d=48)

DISTANCES (found -> nearest true):
  Found[0] -> True[0]: dist = 0.000002
  Found[1] -> True[1]: dist = 0.000168

----------------------------------------------------------------------
Function: student_t_nu3.0_64D
Dimension: 64
Status: SUCCESS
Error: 28.7538 log units

TRUE PEAKS (1):
  [0]: [0.0000, 0.0000, ..., 0.0000] (d=64)

FOUND PEAKS (1):
  [0]: [-0.0000, 0.0000, ..., 0.0000] (d=64)

DISTANCES (found -> nearest true):
  Found[0] -> True[0]: dist = 0.000000

----------------------------------------------------------------------
Function: student_t_cauchy_64D
Dimension: 64
Status: SUCCESS
Error: 0.1291 log units

TRUE PEAKS (1):
  [0]: [0.0000, 0.0000, ..., 0.0000] (d=64)

FOUND PEAKS (1):
  [0]: [0.0000, 0.0000, ..., 0.0000] (d=64)

DISTANCES (found -> nearest true):
  Found[0] -> True[0]: dist = 0.000000

----------------------------------------------------------------------
Function: banana_b0.1_64D
Dimension: 64
Status: SUCCESS
Error: 0.0062 log units

TRUE PEAKS (1):
  [0]: [0.0000, 0.0000, ..., 0.0000] (d=64)

FOUND PEAKS (1):
  [0]: [0.0000, 0.0000, ..., 0.0000] (d=64)

DISTANCES (found -> nearest true):
  Found[0] -> True[0]: dist = 0.000000

----------------------------------------------------------------------
Function: funnel_sigma3.0_64D
Dimension: 64
Status: SUCCESS

TRUE PEAKS (1):
  [0]: [0.0000, 0.0000, ..., 0.0000] (d=64)

FOUND PEAKS: None found

----------------------------------------------------------------------
Function: exp_power_beta1.0_64D
Dimension: 64
Status: SUCCESS
Error: 47.9204 log units

TRUE PEAKS (1):
  [0]: [0.0000, 0.0000, ..., 0.0000] (d=64)

FOUND PEAKS (1):
  [0]: [0.0000, 0.0000, ..., 0.0000] (d=64)

DISTANCES (found -> nearest true):
  Found[0] -> True[0]: dist = 0.000000

----------------------------------------------------------------------
Function: twisted_t1.0_64D
Dimension: 64
Status: SUCCESS
Error: 0.3819 log units

TRUE PEAKS (1):
  [0]: [0.0000, 0.0000, ..., 0.0000] (d=64)

FOUND PEAKS (1):
  [0]: [0.0000, 0.0000, ..., 0.0000] (d=64)

DISTANCES (found -> nearest true):
  Found[0] -> True[0]: dist = 0.000000

----------------------------------------------------------------------
Function: skew_normal_a5.0_64D
Dimension: 64
Status: SUCCESS
Error: 22.3831 log units

TRUE PEAKS (1):
  [0]: [0.3700, 0.3700, ..., 0.3700] (d=64)

FOUND PEAKS (1):
  [0]: [0.3705, 0.3705, ..., 0.3705] (d=64)

DISTANCES (found -> nearest true):
  Found[0] -> True[0]: dist = 0.004015

----------------------------------------------------------------------
Function: bimodal_w0.9_64D
Dimension: 64
Status: SUCCESS
Error: 0.0002 log units

TRUE PEAKS (2):
  [0]: [0.0000, 0.0000, ..., 0.0000] (d=64)
  [1]: [5.0000, 0.0000, ..., 0.0000] (d=64)

FOUND PEAKS (2):
  [0]: [0.0000, 0.0000, ..., 0.0000] (d=64)
  [1]: [4.9998, -0.0000, ..., -0.0000] (d=64)

DISTANCES (found -> nearest true):
  Found[0] -> True[0]: dist = 0.000002
  Found[1] -> True[1]: dist = 0.000168

----------------------------------------------------------------------
Function: egg_box_omega5.0_2D
Dimension: 2
Status: SUCCESS
Error: 0.6969 log units

TRUE PEAKS (1):
  [0]: [0. 0.]

FOUND PEAKS (5):
  [0]: [1.25663706 1.25663706]
  [1]: [0. 0.]
  [2]: [0.         1.25663706]
  [3]: [1.25663706 0.        ]
  [4]: [0.62831853 0.62831853]

DISTANCES (found -> nearest true):
  Found[0] -> True[0]: dist = 1.777153
  Found[1] -> True[0]: dist = 0.000000
  Found[2] -> True[0]: dist = 1.256637
  Found[3] -> True[0]: dist = 1.256637
  Found[4] -> True[0]: dist = 0.888577

