==========================================================================================
PEAK LOCATION COMPARISON: TRUE vs FOUND
==========================================================================================
Timestamp: 20260125_212644

----------------------------------------------------------------------
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]: [5.98896317e-07 0.00000000e+00]

DISTANCES (found -> nearest true):
  Found[0] -> True[0]: dist = 0.000001

----------------------------------------------------------------------
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]: [-4.49999999  0.        ]

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

----------------------------------------------------------------------
Function: exp_power_beta1.0_2D
Dimension: 2
Status: SUCCESS
Error: 0.1265 log units

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

FOUND PEAKS (1):
  [0]: [-1.78432306e-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: 13.7743 log units

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

FOUND PEAKS (161):
  [0]: [-2.17248117  2.06889477]
  [1]: [2.29283412 1.93466062]
  [2]: [2.46020796 1.71679259]
  [3]: [2.91303753 0.717086  ]
  [4]: [ 2.99946267 -0.05677755]
  [5]: [2.26028125 1.9725944 ]
  [6]: [-2.82669281 -1.00489192]
  [7]: [2.9865888  0.28335019]
  [8]: [2.56602231 1.55419739]
  [9]: [-2.77235628 -1.14631613]
  [10]: [2.95240274 0.53227628]
  [11]: [0.43488101 2.9683124 ]
  [12]: [2.15297163 2.08918959]
  [13]: [-1.37508618 -2.66629668]
  [14]: [ 2.11216536 -2.13043598]
  [15]: [-1.82557131  2.38060694]
  [16]: [ 2.45010507 -1.73118027]
  [17]: [ 2.41059074 -1.78579178]
  [18]: [ 2.76660034 -1.16013904]
  [19]: [-2.85145396  0.93231449]
  [20]: [-2.91578673  0.70582414]
  [21]: [-2.93818204  0.6058765 ]
  [22]: [-2.98617909  0.28763594]
  [23]: [-2.99460952  0.17976053]
  [24]: [-2.98553694 -0.29422642]
  [25]: [-2.95111912 -0.53934768]
  [26]: [ 2.86964075 -0.87473537]
  [27]: [ 2.84290548 -0.95806495]
  [28]: [ 0.50321019 -2.95749548]
  [29]: [-0.27344939 -2.98751158]
  [30]: [-0.51305647 -2.95580328]
  [31]: [-1.23495365 -2.73402441]
  [32]: [ 0.85296796 -2.87618596]
  [33]: [-0.1259975  -2.99735294]
  [34]: [-1.07765799 -2.7997595 ]
  [35]: [1.82317641 2.38244156]
  [36]: [ 1.01078322 -2.82459152]
  [37]: [ 1.19755338 -2.75061191]
  [38]: [ 1.33136836 -2.68839325]
  [39]: [ 1.03728868 -2.81496576]
  [40]: [ 1.40924717 -2.64839997]
  [41]: [-2.73149124 -1.24054649]
  [42]: [-2.56715469 -1.55232625]
  [43]: [-1.75737297 -2.43138649]
  [44]: [0.16367563 2.99553172]
  [45]: [-0.04711987  2.99962993]
  [46]: [-2.94168565 -0.58863023]
  [47]: [-2.47832725 -1.6905307 ]
  [48]: [-1.48117175 -2.60885612]
  [49]: [0.91217821 2.85795922]
  [50]: [-2.42673646 -1.76378857]
  [51]: [-1.58947575  2.54432051]
  [52]: [2.53086445 1.61081506]
  [53]: [-2.55182529 -1.57739903]
  [54]: [1.95196219 2.27812283]
  [55]: [-2.37873811 -1.82800575]
  [56]: [1.68673622 2.48091131]
  [57]: [-1.58722888 -2.54572278]
  [58]: [-1.41959179  2.64286949]
  [59]: [-2.2098989  -2.02887822]
  [60]: [-2.02762873  2.21104539]
  [61]: [-1.9725944  -2.26028125]
  [62]: [-2.08113606  2.16075744]
  [63]: [-2.31061146  1.91339349]
  [64]: [-2.44777703  1.73447041]
  [65]: [-0.64943446  2.92886239]
  [66]: [-2.90932278 -0.73201158]
  [67]: [-2.62404827 -1.45408758]
  [68]: [2.31429516 1.90893634]
  [69]: [1.90449988 2.31794741]
  [70]: [-0.78147666 -2.89642784]
  [71]: [-0.78959327  2.89422571]
  [72]: [ 2.91762496 -0.69818664]
  [73]: [1.57831493 2.5512589 ]
  [74]: [0.70523709 2.91592878]
  [75]: [-0.04125187 -2.99971637]
  [76]: [-2.88415246 -0.82562982]
  [77]: [-2.66722152  1.37329143]
  [78]: [ 0.60085824 -2.93921237]
  [79]: [-2.06858052 -2.17278039]
  [80]: [-1.35130137  2.6784295 ]
  [81]: [-2.23986602 -1.99574553]
  [82]: [1.28064854 2.71292081]
  [83]: [-2.29603282 -1.93086336]
  [84]: [2.82913649 0.99799133]
  [85]: [-0.86108553 -2.87376612]
  [86]: [ 2.33966411 -1.87775714]
  [87]: [-0.47692767  2.9618474 ]
  [88]: [1.72508575 2.45439996]
  [89]: [-1.73624853  2.4465161 ]
  [90]: [-1.19066568 -2.75360042]
  [91]: [-2.80879425  1.0538856 ]
  [92]: [ 2.56878672 -1.54962407]
  [93]: [-2.9726097  -0.40446457]
  [94]: [-1.80946623  2.39287107]
  [95]: [-1.53513499 -2.57747174]
  [96]: [2.48860675 1.67536159]
  [97]: [0.80824094 2.88907365]
  [98]: [1.18219944 2.75724582]
  [99]: [-2.65759228 -1.3918345 ]
  [100]: [ 2.65458278 -1.39756583]
  [101]: [-2.23516249  2.00101191]
  [102]: [-1.01848032  2.82182527]
  [103]: [-0.43366766 -2.96848991]
  [104]: [2.97090215 0.41682179]
  [105]: [1.44887127 2.62693206]
  [106]: [ 0.07500578 -2.99906221]
  [107]: [-2.88895787  0.80865469]
  [108]: [-2.99576213 -0.15940283]
  [109]: [ 1.48676093 -2.60567495]
  [110]: [-1.5658762   2.55891221]
  [111]: [ 1.6831047  -2.48337644]
  [112]: [1.78809051 2.40888612]
  [113]: [-1.85185108 -2.36022193]
  [114]: [ 2.6597931  -1.38762412]
  [115]: [2.05081821 2.18955353]
  [116]: [-1.11515968  2.78503481]
  [117]: [ 0.28130564 -2.98678207]
  [118]: [ 1.23837996 -2.73247417]
  [119]: [2.42673645 1.7637886 ]
  [120]: [ 2.1446108  -2.09777132]
  [121]: [-2.95677124  0.50744834]
  [122]: [ 1.76378858 -2.42673646]
  [123]: [ 2.70754221 -1.29198111]
  [124]: [-2.99886764 -0.08241882]
  [125]: [-2.86493862 -0.890015  ]
  [126]: [-1.87715718  2.34014549]
  [127]: [ 1.85708024 -2.35610971]
  [128]: [-1.94833417  2.28122642]
  [129]: [-2.49036669  1.67274437]
  [130]: [ 1.64209111 -2.51068453]
  [131]: [-1.5313215   2.57973923]
  [132]: [2.12580914 2.11682203]
  [133]: [ 0.34948876 -2.97957339]
  [134]: [ 2.01995147 -2.21806133]
  [135]: [-0.68091804  2.92170338]
  [136]: [-2.8370255  -0.97533907]
  [137]: [ 2.88960437 -0.80634149]
  [138]: [-1.13758931  2.77594859]
  [139]: [ 1.57259822 -2.55478665]
  [140]: [ 2.1191411  -2.12349735]
  [141]: [-1.02201669 -2.82054638]
  [142]: [-1.67937809  2.48589807]
  [143]: [2.99440033 0.18321211]
  [144]: [-2.56501623  1.55585724]
  [145]: [-0.95262494  2.84473298]
  [146]: [-1.24238385  2.73065603]
  [147]: [ 2.80578168 -1.06188001]
  [148]: [-0.31949207  2.98293896]
  [149]: [ 0.91736111 -2.85629981]
  [150]: [ 2.97850194 -0.35850552]
  [151]: [2.92915386 0.64811856]
  [152]: [0.99790751 2.82916606]
  [153]: [-0.17416877 -2.99493994]
  [154]: [ 2.5236531  -1.62208971]
  [155]: [0.34052522 2.98061111]
  [156]: [ 2.93680353 -0.61252349]
  [157]: [-0.21365349  2.99238236]
  [158]: [ 0.7322303  -2.90926774]
  [159]: [-2.97165533  0.41141781]
  [160]: [ 2.24361422 -1.99153088]

DISTANCES (found -> nearest true):
  Found[0] -> True[0]: dist = 5.570896
  Found[1] -> True[0]: dist = 2.059853
  Found[2] -> True[0]: dist = 1.799653
  Found[3] -> True[0]: dist = 0.722340
  Found[4] -> True[0]: dist = 0.056780
  Found[5] -> True[0]: dist = 2.106730
  Found[6] -> True[0]: dist = 5.912711
  Found[7] -> True[0]: dist = 0.283667
  Found[8] -> True[0]: dist = 1.613650
  Found[9] -> True[0]: dist = 5.885078
  Found[10] -> True[0]: dist = 0.534400
  Found[11] -> True[0]: dist = 3.923100
  Found[12] -> True[0]: dist = 2.254367
  Found[13] -> True[0]: dist = 5.123526
  Found[14] -> True[0]: dist = 2.308031
  Found[15] -> True[0]: dist = 5.380839
  Found[16] -> True[0]: dist = 1.816417
  Found[17] -> True[0]: dist = 1.880547
  Found[18] -> True[0]: dist = 1.183384
  Found[19] -> True[0]: dist = 5.925261
  Found[20] -> True[0]: dist = 5.957745
  Found[21] -> True[0]: dist = 5.969011
  Found[22] -> True[0]: dist = 5.993086
  Found[23] -> True[0]: dist = 5.997304
  Found[24] -> True[0]: dist = 5.992764
  Found[25] -> True[0]: dist = 5.975510
  Found[26] -> True[0]: dist = 0.884396
  Found[27] -> True[0]: dist = 0.970859
  Found[28] -> True[0]: dist = 3.870496
  Found[29] -> True[0]: dist = 4.431783
  Found[30] -> True[0]: dist = 4.591115
  Found[31] -> True[0]: dist = 5.040806
  Found[32] -> True[0]: dist = 3.589177
  Found[33] -> True[0]: dist = 4.330818
  Found[34] -> True[0]: dist = 4.946306
  Found[35] -> True[0]: dist = 2.657243
  Found[36] -> True[0]: dist = 3.454750
  Found[37] -> True[0]: dist = 3.288568
  Found[38] -> True[0]: dist = 3.164141
  Found[39] -> True[0]: dist = 3.431657
  Found[40] -> True[0]: dist = 3.089420
  Found[41] -> True[0]: dist = 5.864209
  Found[42] -> True[0]: dist = 5.779527
  Found[43] -> True[0]: dist = 5.342681
  Found[44] -> True[0]: dist = 4.125281
  Found[45] -> True[0]: dist = 4.275830
  Found[46] -> True[0]: dist = 5.970772
  Found[47] -> True[0]: dist = 5.733233
  Found[48] -> True[0]: dist = 5.185271
  Found[49] -> True[0]: dist = 3.539340
  Found[50] -> True[0]: dist = 5.706174
  Found[51] -> True[0]: dist = 5.247557
  Found[52] -> True[0]: dist = 1.677741
  Found[53] -> True[0]: dist = 5.771564
  Found[54] -> True[0]: dist = 2.507634
  Found[55] -> True[0]: dist = 5.680883
  Found[56] -> True[0]: dist = 2.807059
  Found[57] -> True[0]: dist = 5.246272
  Found[58] -> True[0]: dist = 5.149519
  Found[59] -> True[0]: dist = 5.591010
  Found[60] -> True[0]: dist = 5.492338
  Found[61] -> True[0]: dist = 5.462194
  Found[62] -> True[0]: dist = 5.521487
  Found[63] -> True[0]: dist = 5.644791
  Found[64] -> True[0]: dist = 5.717225
  Found[65] -> True[0]: dist = 4.679381
  Found[66] -> True[0]: dist = 5.954489
  Found[67] -> True[0]: dist = 5.808984
  Found[68] -> True[0]: dist = 2.028356
  Found[69] -> True[0]: dist = 2.563786
  Found[70] -> True[0]: dist = 4.763282
  Found[71] -> True[0]: dist = 4.768392
  Found[72] -> True[0]: dist = 0.703029
  Found[73] -> True[0]: dist = 2.920635
  Found[74] -> True[0]: dist = 3.710603
  Found[75] -> True[0]: dist = 4.271711
  Found[76] -> True[0]: dist = 5.941794
  Found[77] -> True[0]: dist = 5.831237
  Found[78] -> True[0]: dist = 3.794055
  Found[79] -> True[0]: dist = 5.514661
  Found[80] -> True[0]: dist = 5.109580
  Found[81] -> True[0]: dist = 5.607067
  Found[82] -> True[0]: dist = 3.211870
  Found[83] -> True[0]: dist = 5.637038
  Found[84] -> True[0]: dist = 1.012512
  Found[85] -> True[0]: dist = 4.813160
  Found[86] -> True[0]: dist = 1.990481
  Found[87] -> True[0]: dist = 4.567446
  Found[88] -> True[0]: dist = 2.765770
  Found[89] -> True[0]: dist = 5.330806
  Found[90] -> True[0]: dist = 5.014379
  Found[91] -> True[0]: dist = 5.903623
  Found[92] -> True[0]: dist = 1.608502
  Found[93] -> True[0]: dist = 5.986289
  Found[94] -> True[0]: dist = 5.371852
  Found[95] -> True[0]: dist = 5.216398
  Found[96] -> True[0]: dist = 1.751673
  Found[97] -> True[0]: dist = 3.626369
  Found[98] -> True[0]: dist = 3.302545
  Found[99] -> True[0]: dist = 5.826281
  Found[100] -> True[0]: dist = 1.439619
  Found[101] -> True[0]: dist = 5.604549
  Found[102] -> True[0]: dist = 4.910283
  Found[103] -> True[0]: dist = 4.538943
  Found[104] -> True[0]: dist = 0.417836
  Found[105] -> True[0]: dist = 3.050700
  Found[106] -> True[0]: dist = 4.189268
  Found[107] -> True[0]: dist = 5.944220
  Found[108] -> True[0]: dist = 5.997881
  Found[109] -> True[0]: dist = 3.013210
  Found[110] -> True[0]: dist = 5.234048
  Found[111] -> True[0]: dist = 2.810938
  Found[112] -> True[0]: dist = 2.696564
  Found[113] -> True[0]: dist = 5.395471
  Found[114] -> True[0]: dist = 1.428720
  Found[115] -> True[0]: dist = 2.386439
  Found[116] -> True[0]: dist = 4.969000
  Found[117] -> True[0]: dist = 4.038832
  Found[118] -> True[0]: dist = 3.251111
  Found[119] -> True[0]: dist = 1.854611
  Found[120] -> True[0]: dist = 2.265466
  Found[121] -> True[0]: dist = 5.978347
  Found[122] -> True[0]: dist = 2.723466
  Found[123] -> True[0]: dist = 1.324669
  Found[124] -> True[0]: dist = 5.999434
  Found[125] -> True[0]: dist = 5.932085
  Found[126] -> True[0]: dist = 5.409523
  Found[127] -> True[0]: dist = 2.618686
  Found[128] -> True[0]: dist = 5.448854
  Found[129] -> True[0]: dist = 5.739530
  Found[130] -> True[0]: dist = 2.854374
  Found[131] -> True[0]: dist = 5.214205
  Found[132] -> True[0]: dist = 2.290228
  Found[133] -> True[0]: dist = 3.987865
  Found[134] -> True[0]: dist = 2.424931
  Found[135] -> True[0]: dist = 4.699522
  Found[136] -> True[0]: dist = 5.917952
  Found[137] -> True[0]: dist = 0.813864
  Found[138] -> True[0]: dist = 4.982523
  Found[139] -> True[0]: dist = 2.926501
  Found[140] -> True[0]: dist = 2.298946
  Found[141] -> True[0]: dist = 4.912443
  Found[142] -> True[0]: dist = 5.298704
  Found[143] -> True[0]: dist = 0.183298
  Found[144] -> True[0]: dist = 5.778417
  Found[145] -> True[0]: dist = 4.869882
  Found[146] -> True[0]: dist = 5.045226
  Found[147] -> True[0]: dist = 1.079495
  Found[148] -> True[0]: dist = 4.462841
  Found[149] -> True[0]: dist = 3.534945
  Found[150] -> True[0]: dist = 0.359150
  Found[151] -> True[0]: dist = 0.651979
  Found[152] -> True[0]: dist = 3.465913
  Found[153] -> True[0]: dist = 4.364059
  Found[154] -> True[0]: dist = 1.690586
  Found[155] -> True[0]: dist = 3.994602
  Found[156] -> True[0]: dist = 0.615775
  Found[157] -> True[0]: dist = 4.391118
  Found[158] -> True[0]: dist = 3.688715
  Found[159] -> True[0]: dist = 5.985811
  Found[160] -> True[0]: dist = 2.130332

----------------------------------------------------------------------
Function: twisted_t1.0_2D
Dimension: 2
Status: SUCCESS
Error: 0.3824 log units

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

FOUND PEAKS (1):
  [0]: [6.26363015e-09 6.67607186e-09]

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

----------------------------------------------------------------------
Function: skew_normal_a5.0_2D
Dimension: 2
Status: FAILED

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

FOUND PEAKS: None found

----------------------------------------------------------------------
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]: [2.06469611e-06 6.55529741e-09]
  [1]: [4.99983218e+00 5.32317706e-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: 0.0322 log units

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

FOUND PEAKS (1):
  [0]: [1.00954764e-09 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: 0.0043 log units

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

FOUND PEAKS (1):
  [0]: [ 0.00000000e+00 -7.48468378e-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]: [0.000000e+00 3.974805e-25 0.000000e+00 0.000000e+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: 0.0375 log units

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

FOUND PEAKS (1):
  [0]: [-1.78432306e-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: 31.0089 log units

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

FOUND PEAKS (410):
  [0]: [ 1.47586572  1.50795892  1.50795893 -1.50795893]
  [1]: [ 1.60214807  1.37326946  1.63137474 -1.37326946]
  [2]: [ 1.90195398  1.42646533  1.14584657 -1.42646533]
  [3]: [ 2.18609498  1.09304809  1.35332202 -1.09304809]
  [4]: [-2.74135522 -0.78324445 -0.50796441  0.78324445]
  [5]: [ 2.93704271  0.14727225  0.41957776 -0.41957776]
  [6]: [-2.61875136  1.01118306  0.74821459 -0.74821459]
  [7]: [ 2.18609498 -1.09304809 -1.35332202  1.09304809]
  [8]: [ 1.90195398 -1.42646533 -1.14584657  1.42646533]
  [9]: [ 1.74552461 -1.49616408 -1.21496086  1.49616408]
  [10]: [ 1.47586532 -1.50795906 -1.50795906  1.50795906]
  [11]: [ 1.80721553  1.29086842  1.54960945 -1.29086842]
  [12]: [ 2.37252232  1.06005312  1.06005312 -1.06005312]
  [13]: [ 2.20510245 -1.2600585  -0.98083041  1.2600585 ]
  [14]: [ 1.7524447  -1.57289321 -1.31433339  1.31433339]
  [15]: [ 2.05059279  1.17176727  1.43143009 -1.17176727]
  [16]: [ 2.0505928  -1.43143009 -1.17176727  1.17176727]
  [17]: [-1.62186394 -1.57441403  1.36363302 -1.4252308 ]
  [18]: [-1.33838197 -1.57321794  1.6448469  -1.42414805]
  [19]: [-1.14584657 -1.42646533  1.90195398 -1.42646533]
  [20]: [-1.35332202 -1.09304809  2.18609498 -1.09304809]
  [21]: [ 0.50796441  0.78324445 -2.74135522  0.78324445]
  [22]: [-0.41957776 -0.41957776  2.93704271 -0.14727225]
  [23]: [-0.74821459 -0.74821459 -2.61875136 -1.01118306]
  [24]: [1.35332202 1.09304809 2.18609498 1.09304809]
  [25]: [1.14584657 1.42646533 1.90195398 1.42646533]
  [26]: [1.21496086 1.49616408 1.74552461 1.49616408]
  [27]: [1.50795906 1.50795906 1.47586532 1.50795906]
  [28]: [-1.54960945 -1.29086842  1.80721553 -1.29086842]
  [29]: [-1.06005312 -1.06005312  2.37252232 -1.06005312]
  [30]: [0.98083041 1.2600585  2.20510245 1.2600585 ]
  [31]: [1.31433339 1.31433339 1.7524447  1.57289321]
  [32]: [-1.43143009 -1.17176727  2.05059279 -1.17176727]
  [33]: [1.17176727 1.17176727 2.0505928  1.43143009]
  [34]: [-1.48830611 -1.48830611 -1.48830611 -1.53454709]
  [35]: [-1.62290573 -1.62290573 -1.34063676 -1.39105969]
  [36]: [-1.59424021 -1.59424021 -1.59424021 -1.17268687]
  [37]: [-1.55602132 -1.55602132 -1.8127224  -0.93361279]
  [38]: [-1.6860169  -1.6860169  -1.6860169  -0.68705239]
  [39]: [-1.79585625 -1.79585625 -1.51212675 -0.5131017 ]
  [40]: [-1.72958609 -1.72958609 -1.72958609 -0.15998723]
  [41]: [-1.72958609 -1.72958609 -1.72958609  0.15998723]
  [42]: [-1.6860169  -1.6860169  -1.6860169   0.68705239]
  [43]: [-1.67668494 -1.67668494 -1.39396258  1.19763246]
  [44]: [-1.73657671 -1.47928701 -1.47928701  1.26795948]
  [45]: [-1.68908817 -1.43143065 -1.43143065  1.43143065]
  [46]: [-1.58095764 -1.58095764 -1.83746775 -0.7904797 ]
  [47]: [-1.51799573 -1.80177535 -1.80177535 -0.45044438]
  [48]: [-1.51799573 -1.80177535 -1.80177535  0.45044438]
  [49]: [-1.58095764 -1.58095764 -1.83746775  0.7904797 ]
  [50]: [-1.71575123 -1.71575123 -1.43269907 -1.02945074]
  [51]: [-1.71575123 -1.71575123 -1.43269907  1.02945074]
  [52]: [-1.57157951 -1.35277271  1.61275671  1.44884769]
  [53]: [-1.69101204 -1.53783622  1.28226502  1.45990906]
  [54]: [-1.59424021 -1.59424021  1.17268687  1.59424021]
  [55]: [-1.55602132 -1.55602132  0.93361279  1.8127224 ]
  [56]: [-1.6860169  -1.6860169   0.68705239  1.6860169 ]
  [57]: [-1.79585625 -1.79585625  0.5131017   1.51212675]
  [58]: [-1.72958609 -1.72958609  0.15998723  1.72958609]
  [59]: [-1.72958609 -1.72958609 -0.15998723  1.72958609]
  [60]: [-1.6860169  -1.6860169  -0.68705239  1.6860169 ]
  [61]: [-1.67668494 -1.67668494 -1.19763246  1.39396258]
  [62]: [-1.73657671 -1.47928701 -1.26795948  1.47928701]
  [63]: [-1.58095764 -1.58095764  0.7904797   1.83746775]
  [64]: [-1.51799573 -1.80177535  0.45044438  1.80177535]
  [65]: [-1.51799573 -1.80177535 -0.45044438  1.80177535]
  [66]: [-1.58095764 -1.58095764 -0.7904797   1.83746775]
  [67]: [-1.71575123 -1.71575123  1.02945074  1.43269907]
  [68]: [-1.71575123 -1.71575123 -1.02945074  1.43269907]
  [69]: [-1.71563408 -1.47677095  1.47866402  1.29973072]
  [70]: [-1.87990639 -1.40690941  1.1528557   1.46883682]
  [71]: [-2.08054301 -1.21154325  1.21842244  1.31108753]
  [72]: [-2.15274331 -0.82580028  1.11203176  1.56433228]
  [73]: [-2.29398225 -0.78533565  0.79957676  1.57530009]
  [74]: [-2.54881809 -0.41963702  0.70192212  1.35452443]
  [75]: [ 2.7928766  -0.31786069  0.0219573  -1.04800896]
  [76]: [ 2.66062853 -0.93679732  0.64684891 -0.79060301]
  [77]: [-2.65324313  1.04077116 -0.73436599  0.5812081 ]
  [78]: [-2.28291118  1.36768054 -1.33648501  0.36273171]
  [79]: [-2.1183896   1.49457393 -1.46597437  0.35999084]
  [80]: [-1.70692337  1.87637032 -1.59382295 -0.15929663]
  [81]: [-1.73347254 -1.25078217  1.51362417  1.46272307]
  [82]: [-2.09587295 -1.12352803  1.12920986  1.43870998]
  [83]: [-2.44631107 -0.46840379  0.75683587  1.49109339]
  [84]: [ 2.6990995  -0.65319511  0.62433148 -0.947844  ]
  [85]: [-2.501942    0.98142121 -1.21520521  0.54806472]
  [86]: [-1.9855966   1.60393456 -1.57324232  0.09853268]
  [87]: [-2.04031236 -1.24492917  1.25122493  1.31214063]
  [88]: [-1.50042309  1.46551286 -1.46413732 -1.56757919]
  [89]: [-1.63698478  1.31589145 -1.59739644 -1.4272474 ]
  [90]: [-1.67550788  1.08165251 -1.32019669 -1.81101682]
  [91]: [-1.80919186  0.78564139 -1.45792308 -1.72744109]
  [92]: [-1.82863677  0.55548078 -1.44672614 -1.80402665]
  [93]: [-1.46284344  0.32382883 -1.57079572 -2.07070635]
  [94]: [-1.63848096 -0.06575666 -1.39487745 -2.08934753]
  [95]: [-1.65054421 -0.2689131  -1.4470501  -2.02717428]
  [96]: [-1.5567348  -0.84945314 -1.29265761 -2.0454932 ]
  [97]: [-1.58908166 -1.31344945 -1.00465977 -1.93399296]
  [98]: [-1.29866279 -1.71580634 -0.65054744 -1.98652249]
  [99]: [-1.20455043 -1.84789382 -0.85983282 -1.84256186]
  [100]: [-0.93889955 -2.27634093 -0.57370701 -1.61480644]
  [101]: [-1.55016683  1.26172892 -1.48242814 -1.67553864]
  [102]: [-1.51530177  1.01833226 -1.45403192 -1.88484777]
  [103]: [-1.49399538 -0.56161624 -1.240561   -2.21665816]
  [104]: [-1.53582883 -1.28402819 -1.18817194 -1.89228667]
  [105]: [-1.59551727  1.14143954 -1.57412585 -1.63510497]
  [106]: [-1.73497365  0.44167888 -1.2936545  -2.03008478]
  [107]: [-1.4762098  -1.45713015 -1.11456139 -1.8588516 ]
  [108]: [-1.47922722 -1.69357311  1.50132948 -1.29988721]
  [109]: [-1.52783077 -1.69373962  1.57466725 -1.14778147]
  [110]: [-1.77091544 -1.26507899  1.88541805 -0.84180308]
  [111]: [-1.73309959 -1.51367864  1.84515714 -0.54821341]
  [112]: [-1.83889108 -1.18853165  2.0275331  -0.30819091]
  [113]: [-1.59166919 -1.42335471  2.10728512  0.        ]
  [114]: [-1.77385876 -1.34580195  1.9924678   0.2689131 ]
  [115]: [-1.85633077 -1.24398562  1.88214967  0.68121103]
  [116]: [-1.44790254 -0.38394454  1.85120366  1.82461225]
  [117]: [-1.68229538 -1.38736642  1.96570107  0.61734589]
  [118]: [-1.66434392 -0.93008273  2.03933019  1.09819753]
  [119]: [-1.59001284 -0.79441354  1.71089355  1.70692987]
  [120]: [-1.56633749 -1.68957745  1.63498225 -1.00933045]
  [121]: [-1.85948218 -1.514846    1.7497231  -0.43131967]
  [122]: [-1.78297005 -0.85279408  1.86986456  1.26386968]
  [123]: [ 1.56661926 -0.98316237  1.79127879  1.53961558]
  [124]: [ 1.45182383 -1.21324649  1.84125207  1.42479169]
  [125]: [ 1.74790313 -1.54747841  1.20096669  1.45183478]
  [126]: [-1.47212867  1.77153006 -1.23937835 -1.46916974]
  [127]: [ 1.5925724  -1.85305954  1.10460069  1.34526608]
  [128]: [ 1.35413276 -2.2283694   0.49397007  1.3988166 ]
  [129]: [-0.79813761  2.55897648  0.92950688 -0.97500394]
  [130]: [-0.44264709  2.46916042  1.49427711 -0.68880062]
  [131]: [ 0.43354249 -2.26062172 -1.78396609  0.72048273]
  [132]: [-0.01419827  1.81667135  2.38445947 -0.11771413]
  [133]: [-0.14584744 -1.82229341 -2.36078256 -0.29099998]
  [134]: [ 1.60299021 -1.38412885  1.65726577  1.32969165]
  [135]: [-1.10752692  2.41744676  0.97149932 -0.99273579]
  [136]: [-0.1664038   1.95270935  2.25822311 -0.2442629 ]
  [137]: [ 1.85012997 -1.3761222   1.39126671  1.3219999 ]
  [138]: [-1.22318543  2.51234725  0.6232004  -0.89640948]
  [139]: [ 0.12280649 -2.28870784 -1.88812819  0.42627095]
  [140]: [ 0.84028595 -0.69122717 -1.95291331 -2.00056345]
  [141]: [ 0.8577345  -0.53383305 -2.10865124 -1.87960202]
  [142]: [ 0.92537114 -0.28811596 -1.9871164  -2.027818  ]
  [143]: [ 0.84872966 -0.05993878 -2.2567365  -1.78415405]
  [144]: [ 0.71529949  0.38087289 -2.15899513 -1.91885969]
  [145]: [ 1.22077197  0.5742701  -2.00376742 -1.77900134]
  [146]: [ 1.06170737  0.94237069 -1.97912482 -1.7515079 ]
  [147]: [ 1.08014615  1.29383651 -1.99261496 -1.47944483]
  [148]: [ 1.2565344   1.37770977 -1.76113821 -1.55609424]
  [149]: [ 0.96382618  1.71585169 -1.80653924 -1.36503041]
  [150]: [ 0.81048294 -0.30233631 -2.01281382 -2.04946108]
  [151]: [ 1.25477503  1.14307928 -1.85240461 -1.63936164]
  [152]: [ 1.07851171  1.49259109 -1.90799199 -1.40305056]
  [153]: [ 1.06232785  1.8912093  -1.42518861 -1.50453459]
  [154]: [ 0.7311714   0.51787246 -2.14060797 -1.90131376]
  [155]: [ 0.97562558  1.12225624 -1.81866006 -1.86578971]
  [156]: [ 1.06849496  1.61755729 -1.71809324 -1.51326882]
  [157]: [-2.28909513  0.13590456  0.91977724  1.70164135]
  [158]: [ 2.22826731 -0.30984324 -0.84366508 -1.7963995 ]
  [159]: [-2.37943715  0.39327012  0.84842988  1.5696446 ]
  [160]: [ 0.91625648 -2.1765532  -0.87011719 -1.63278483]
  [161]: [ 0.55737759 -2.61175526 -0.76662946 -1.13152286]
  [162]: [-0.36406988 -2.84992908 -0.32894926 -0.7982166 ]
  [163]: [-0.82101465 -2.83131112 -0.37764305 -0.4086539 ]
  [164]: [1.17969378 2.74457503 0.23226281 0.14725661]
  [165]: [-1.72312023 -2.42729022 -0.29720992  0.22535563]
  [166]: [-1.71308336 -2.41315169 -0.02835977  0.49116194]
  [167]: [ 1.4099482  -2.01069151 -0.90800939 -1.46447419]
  [168]: [-0.596311   -2.85597069 -0.25144474 -0.65162882]
  [169]: [ 1.5764781   2.52410779  0.10356149 -0.36451569]
  [170]: [-1.40971227 -2.06585695  1.16202642 -1.18094918]
  [171]: [-1.27902521 -2.1689312   1.44071547 -0.76431071]
  [172]: [-1.24384636 -2.28692073  1.35015237 -0.63239892]
  [173]: [ 0.65431742  2.60401254 -1.30109641  0.3132659 ]
  [174]: [ 0.08200022  2.6463979  -1.15518729 -0.80956559]
  [175]: [-0.51986073  2.48021691 -1.09300475 -1.17626932]
  [176]: [-1.04716881  2.26847305 -0.49890147 -1.58384496]
  [177]: [-1.64394473  1.69922574 -0.46351731 -1.78752043]
  [178]: [-1.53143693  1.40673626 -0.25455152 -2.14732335]
  [179]: [ 1.88112612 -0.95942752  0.317769    2.10710376]
  [180]: [-1.94104514  0.91549227  0.09479163 -2.0940946 ]
  [181]: [ 2.06110997 -0.16542252 -0.21009433  2.16340506]
  [182]: [-1.41210752 -2.29945101  0.98380306 -0.86637689]
  [183]: [-1.17243802 -2.42937554  1.27264107 -0.32234804]
  [184]: [ 0.43326872  2.58153012 -1.45467544 -0.17860525]
  [185]: [-2.1370358   0.64357467  0.13622144 -2.00008334]
  [186]: [ 1.21451169  2.40335581 -1.26957555  0.37016227]
  [187]: [ 0.35138551  2.68316918 -1.17123843 -0.55256846]
  [188]: [ 1.90831438 -0.89624379 -0.25225625  2.11930415]
  [189]: [-1.59538009 -0.7733141   0.45840041  2.37626108]
  [190]: [-1.59733482 -0.49905542  0.73416824  2.37917258]
  [191]: [-1.36754805 -0.06632765  0.95210746  2.49377311]
  [192]: [-1.59450334  0.2374186   0.72262184  2.42466682]
  [193]: [-1.52430374  0.57475634  0.97715824  2.32192054]
  [194]: [-1.64821028  0.79690392  1.02741256  2.14307499]
  [195]: [-1.44482419  1.28473999  1.18832776  1.96209157]
  [196]: [-1.45993381  1.45455065  1.08959713  1.88829388]
  [197]: [-1.15252105  1.58508157  1.35613182  1.82211914]
  [198]: [-1.13655527  1.81977023  1.08069876  1.79687747]
  [199]: [-1.56170171 -0.6090662   0.82715331  2.3464747 ]
  [200]: [-1.3422456   0.24188925  1.01851166  2.47032394]
  [201]: [-1.19685031  1.02118116  1.13815832  2.28677372]
  [202]: [-1.19132449  1.49200617  1.35436652  1.87626088]
  [203]: [-1.53980462 -0.33808629  1.07799555  2.31357407]
  [204]: [-1.72956896  0.29777551  0.94377306  2.24259077]
  [205]: [-1.55682028  0.8923927   1.15052197  2.11098202]
  [206]: [-1.68908817  1.43143065  1.43143065 -1.43143065]
  [207]: [ 2.6856861  -0.49881736  0.17834199  1.22738158]
  [208]: [ 1.73878895 -0.59794258  1.67906911 -1.67326166]
  [209]: [-0.02364945  2.52182944 -0.7355665   1.44870939]
  [210]: [ 0.29320302 -2.61111511  0.76160901 -1.23128452]
  [211]: [ 1.3074157   1.00025518 -0.88001472 -2.34855868]
  [212]: [-1.24319175 -0.67445607  0.83678592  2.50985509]
  [213]: [ 0.38695154 -0.9144428  -2.81322478  0.31595755]
  [214]: [ 0.18521372  1.00501454  2.731438   -0.70348284]
  [215]: [-0.45402831 -1.01259362 -2.75203648  0.44137023]
  [216]: [-1.63110464  0.24703324 -2.14849604  1.28935526]
  [217]: [-2.68968892  0.71560156 -0.16098901 -1.10795778]
  [218]: [-1.68908817  1.43143065 -1.43143065  1.43143065]
  [219]: [-0.65473003  1.94943005  1.98141207 -0.91926997]
  [220]: [ 1.68908817 -1.43143065  1.43143065 -1.43143065]
  [221]: [-0.95277889 -0.542046   -1.07607054  2.57691108]
  [222]: [ 2.70583261 -0.92549663  0.82656144 -0.37245408]
  [223]: [ 0.68892307 -1.61313112  1.6767635  -1.76398899]
  [224]: [ 1.60620014 -1.3869005   1.40216363  1.59077505]
  [225]: [ 1.23940264  2.1225173   1.28206057 -1.14678772]
  [226]: [-2.39804729 -0.46679435  1.27995574 -1.18033282]
  [227]: [1.46381612 1.8540841  1.65899181 0.81692148]
  [228]: [-1.7453809   0.90804544 -0.7429091   2.13943568]
  [229]: [-1.92815217  0.1080144  -2.25514618  0.42997419]
  [230]: [ 1.68908817  1.43143065 -1.43143065  1.43143065]
  [231]: [ 2.17916223  0.635139    0.40723418 -1.91885663]
  [232]: [-0.50410732 -0.7561394  -1.5719587   2.38811115]
  [233]: [ 0.81521619  0.47805244 -2.5346808  -1.29702802]
  [234]: [-1.51393443 -2.23363783 -1.30914057  0.07082053]
  [235]: [ 0.72366693  2.49263566 -1.2580016   0.82492765]
  [236]: [ 1.43010967 -1.38675094 -1.53668162 -1.6341107 ]
  [237]: [-1.68908817  1.43143065  1.43143065  1.43143065]
  [238]: [ 0.00838376  0.57668511 -1.61454441  2.46183069]
  [239]: [ 1.68908817  1.43143065 -1.43143066 -1.43143066]
  [240]: [ 1.78205071  0.83035423 -0.07389544  2.26480608]
  [241]: [-1.23452539  0.83101972  1.69090681  1.98146094]
  [242]: [-0.65914866  1.32754766  1.00664927  2.4061998 ]
  [243]: [-0.48644531 -2.0344099  -2.13322422  0.27184878]
  [244]: [-0.93224633 -2.01429819  1.99176071 -0.32620371]
  [245]: [-0.68908763  2.81120056  0.66154589  0.42972863]
  [246]: [-1.06798078  1.19996707  2.24317341  1.17799369]
  [247]: [ 0.74135384 -1.5258066   2.24677306  1.03649387]
  [248]: [-0.35673464 -2.89013916  0.65727311  0.29635801]
  [249]: [ 1.40634719 -2.39417134  1.12511554 -0.15571181]
  [250]: [-0.84165866  1.21889028  0.08422123 -2.60745546]
  [251]: [-2.14265566 -1.56815748 -1.32001138 -0.45549841]
  [252]: [-1.85280406  1.19181654 -0.97306644 -1.78880746]
  [253]: [ 1.67444898 -2.45137653  0.09132524  0.42265048]
  [254]: [-1.93867912 -1.22060453  0.1418803   1.9317137 ]
  [255]: [-1.92198459  2.10591611 -0.62293547  0.69501366]
  [256]: [-2.76553959  0.80674652 -0.71553002 -0.43470409]
  [257]: [1.01038724 0.27282045 1.2856291  2.50036886]
  [258]: [-0.98067682 -0.14708899 -1.43062802 -2.44334633]
  [259]: [-0.54681562 -2.31165675 -1.79007336  0.39098993]
  [260]: [ 0.79571347 -0.25890729 -2.60152228 -1.23769499]
  [261]: [-0.43162536 -0.55374129 -2.7911344   0.84654526]
  [262]: [ 1.18729586 -1.94780294 -1.84201339 -0.63512121]
  [263]: [ 1.60570731 -0.15698077  0.15963174 -2.52419864]
  [264]: [-2.11225318  1.91388976 -0.62442389 -0.69678355]
  [265]: [ 1.95677328 -1.54249196 -1.5396802  -0.64895437]
  [266]: [ 2.8208077  -0.97951505  0.04049289  0.28627694]
  [267]: [-1.07362653  0.08174717 -2.71335619 -0.6916225 ]
  [268]: [-0.35433665  2.33472153 -1.16289782 -1.43916281]
  [269]: [ 1.93072126 -0.91642612 -0.38449655  2.06993743]
  [270]: [-1.65038867 -0.62040692 -1.09027477 -2.16855099]
  [271]: [-0.19988181 -2.31824017 -1.37141009 -1.3057734 ]
  [272]: [ 2.24755454  1.7337292   0.80645619 -0.54065705]
  [273]: [ 1.71816944  1.90271418  0.44884815 -1.4920147 ]
  [274]: [-0.42904942 -2.59825278  0.89499742  1.12426806]
  [275]: [-0.57245191  2.67759413 -1.21536782  0.1602171 ]
  [276]: [-0.07379514  0.52841683 -1.96482259 -2.20336155]
  [277]: [-2.09662328  0.77972468 -1.71132474  1.03323177]
  [278]: [ 1.02169518 -2.08081423 -0.60091023  1.80700249]
  [279]: [ 1.67582233 -0.78614637 -1.92742803 -1.36331015]
  [280]: [-0.3946403  -0.30321075  0.5850438   2.90000794]
  [281]: [-0.38126705 -0.55950547  0.83178799  2.80173478]
  [282]: [-2.41327005  0.71666675 -0.93065612 -1.34029684]
  [283]: [ 1.29641633  1.15922918 -2.37272038 -0.58795444]
  [284]: [-1.37019523  1.01761827  2.28049666 -0.94146325]
  [285]: [ 0.67951563  1.15477908 -1.5223279   2.21071517]
  [286]: [ 2.30539476 -0.75364518 -1.24172614  1.25510563]
  [287]: [ 2.0807925   1.55529328  0.09401956 -1.4975065 ]
  [288]: [ 2.51006596  1.29885851 -0.13528337 -0.99711278]
  [289]: [-0.32319395  0.9710273   1.89034947 -2.09266111]
  [290]: [0.08517138 1.66318709 1.63699984 1.88329128]
  [291]: [ 1.00983571  0.90304913  2.20823366 -1.51275848]
  [292]: [ 2.25143477 -1.74726969 -0.46335001 -0.81449178]
  [293]: [ 1.64119982  0.51545891  0.60453023 -2.3822906 ]
  [294]: [0.32978065 1.23035874 2.50855788 1.04144104]
  [295]: [ 0.80377984 -1.84367947 -2.184589    0.42703028]
  [296]: [-1.07100917  2.54750052  0.64888754 -0.97063145]
  [297]: [-2.91922692  0.63503944  0.2679682  -0.05506503]
  [298]: [ 0.66315979  0.5295005   1.10911856 -2.65512793]
  [299]: [0.63892099 0.61643836 2.68691994 0.99611494]
  [300]: [ 0.42808948 -1.61676974  2.30257108 -0.94918988]
  [301]: [ 1.65486805  0.38066866 -2.39968128  0.59835849]
  [302]: [-0.95344056 -2.70161236  0.73286694 -0.50512157]
  [303]: [ 2.20019585 -0.55823797 -0.19826093  1.9514613 ]
  [304]: [ 0.10887105 -0.44062897  2.6594257  -1.3120397 ]
  [305]: [ 2.17258017 -1.32001692 -1.47848915 -0.5928917 ]
  [306]: [-0.16527646  1.87737005 -1.22952252 -1.98404631]
  [307]: [ 1.83560541  1.63369838 -1.11850482 -1.30787208]
  [308]: [-2.49250594  0.88139139  0.04426991  1.41725211]
  [309]: [-0.83439083  1.77002455  0.3821809  -2.24159381]
  [310]: [-2.62554389  0.42155341  0.39011378  1.33290031]
  [311]: [ 1.54844492 -1.50149845 -1.10331582 -1.76932613]
  [312]: [ 1.99495171  0.51218154 -0.31011916  2.15908866]
  [313]: [-0.35853808 -1.53380245 -2.03081707  1.54747618]
  [314]: [-2.1538527  -1.34712479  1.52050307  0.48398736]
  [315]: [ 1.9411388  -1.1684738  -1.95169538  0.239863  ]
  [316]: [ 0.18164762 -1.29255475 -2.44746043  1.14291023]
  [317]: [-1.88759872  2.12561116  0.24328783 -0.92712423]
  [318]: [-0.81429589 -0.66596871  0.70988414  2.7183584 ]
  [319]: [ 1.06819329  1.89598295 -1.83066217  0.95545161]
  [320]: [ 0.88581533  1.70401734 -1.49194402 -1.7566329 ]
  [321]: [ 0.42271086  0.11984201 -2.07390542  2.12270341]
  [322]: [ 1.20090821e+00  8.88178420e-16  2.74914886e+00 -8.88178420e-16]
  [323]: [ 0.7437578  -2.29230726  0.96922644  1.50091701]
  [324]: [ 0.42829927  2.12621063 -1.8847099  -0.8623553 ]
  [325]: [ 0.04270104 -0.09697287  2.99595242  0.11420159]
  [326]: [ 0.33419785  2.73946045  0.68614941 -0.95544084]
  [327]: [ 0.19437166 -1.05142777 -2.79360828 -0.22906792]
  [328]: [-2.40209382  0.60325305  1.6727343   0.26075086]
  [329]: [-2.45341431  0.3425722   1.54412254 -0.69216188]
  [330]: [-1.84978331 -2.30118925 -0.21347536  0.48709141]
  [331]: [ 0.28468443 -1.30935406 -1.1253877  -2.43681129]
  [332]: [ 0.24994699  1.34318803  1.799231   -1.97386428]
  [333]: [ 2.36293294 -0.0591345   1.30776341 -1.30491605]
  [334]: [ 0.39176707  0.24738198 -2.9472569   0.31463862]
  [335]: [-0.2085467  -1.78168599  2.37468151  0.37814156]
  [336]: [-2.17737156 -1.71251138 -0.12470773  1.1449043 ]
  [337]: [0.         1.19312894 0.42985968 2.71876148]
  [338]: [ 1.80550713  0.74176834  0.14194637 -2.27371392]
  [339]: [ 2.54921299 -1.05150085 -0.3082975  -1.14053135]
  [340]: [ 0.82551441  1.64276035  2.3210351  -0.48234891]
  [341]: [-1.56227437  1.5607118  -0.13205399  2.02633641]
  [342]: [ 0.92494447 -1.99971995 -1.46638312 -1.41255739]
  [343]: [ 1.46913542 -1.33431266  2.22907975  0.304063  ]
  [344]: [ 0.43527124 -1.94949903 -2.21588641  0.31597447]
  [345]: [ 2.27388717 -1.13145623 -0.47579877  1.524093  ]
  [346]: [-1.79234378 -1.07301777 -0.51647367  2.09030897]
  [347]: [ 0.62476609  0.30141761 -2.69763394 -1.11426473]
  [348]: [ 1.46110043  1.75105042  1.92563749 -0.30154308]
  [349]: [-2.07434686  0.96140707 -1.84572782  0.6050375 ]
  [350]: [-1.80324286  1.56256204  1.06646136  1.47287991]
  [351]: [ 0.4317218   2.12058615 -0.58190208 -1.99452266]
  [352]: [-0.15875668  1.24360179  2.59635519 -0.82896964]
  [353]: [-1.55051886 -1.4962878  -0.08197144 -2.08573603]
  [354]: [-1.54078952 -2.31245982  0.60073837  0.95791996]
  [355]: [ 2.89532868  0.6771699  -0.21157991 -0.33726359]
  [356]: [-0.43890654  0.28043984 -0.63696684  2.88495889]
  [357]: [ 2.17281365 -1.2225114   0.45645478 -1.60499089]
  [358]: [-0.35671007 -1.63879331  2.23912711  1.08324706]
  [359]: [ 0.31479014  2.41540227  0.11278772 -1.74757488]
  [360]: [-2.45124954 -0.54886674 -0.26569404  1.61849549]
  [361]: [-0.99666273 -1.32978067 -2.47906467  0.30427809]
  [362]: [ 1.10601617 -2.69585461 -0.65220559 -0.28935099]
  [363]: [-1.63249823 -0.85058104 -2.27781189  0.65041096]
  [364]: [ 0.46000772 -2.03274202  0.83475712 -1.98985761]
  [365]: [-2.76711281  0.07464357  0.95938681 -0.64582659]
  [366]: [ 2.03936813  0.63847289 -2.08054206 -0.32353475]
  [367]: [-0.38297142  1.91959479  1.95108734 -1.16693913]
  [368]: [ 2.0679985  -0.99758785 -0.23535584  1.91645723]
  [369]: [ 0.1838885  -2.87798377  0.62111529  0.54553664]
  [370]: [-0.53149641 -0.07082906  1.65731926  2.4424962 ]
  [371]: [-1.16029821  2.52845706 -0.51101651 -0.99973752]
  [372]: [1.89749849 0.98324432 0.17723273 2.09793199]
  [373]: [ 1.03506635  1.85234655 -1.69124304  1.2795104 ]
  [374]: [-0.83600004 -0.64255686 -2.78780061  0.3411633 ]
  [375]: [-2.53692243  0.7720578   1.38597804  0.21683218]
  [376]: [ 0.96196105 -0.13924997  1.59897491  2.34489224]
  [377]: [ 1.3426192  -1.81572714  1.68384445  1.03207389]
  [378]: [-2.46018626  0.16322775  1.68156841 -0.30523428]
  [379]: [-1.53150392  0.85279891 -1.88235958  1.54400524]
  [380]: [ 0.46479842 -0.25109428  2.91535134 -0.47078726]
  [381]: [-0.10685586  2.88975346 -0.55054098  0.57862891]
  [382]: [-2.7655625  -1.04698521 -0.50518776 -0.01647339]
  [383]: [-1.56533365  2.20612183 -1.28137133  0.20210032]
  [384]: [ 0.05767405  1.87210171  1.99175535 -1.23483582]
  [385]: [-0.88370871  0.58403462  2.56807505 -1.13267516]
  [386]: [ 2.69510042 -1.30989215  0.13912001  0.03552343]
  [387]: [-0.65704371 -2.62193482  1.29354126  0.14318648]
  [388]: [-2.19553507  1.20778652  1.26086491  1.06353051]
  [389]: [-0.88093003 -1.9604668  -2.08501658 -0.18231315]
  [390]: [ 0.67186018 -2.44939056 -0.36548593 -1.55419105]
  [391]: [ 0.95138641 -2.3536163   1.12466523 -1.13599398]
  [392]: [ 0.55739225 -1.80750093 -2.17321223  0.83630309]
  [393]: [-0.5703634   1.18934784  1.80616964 -1.99947206]
  [394]: [-1.35120865  0.10718987 -2.54912647 -0.8152912 ]
  [395]: [2.15995023 1.97121131 0.3879807  0.54627093]
  [396]: [ 0.91669926 -0.32076855  2.24249904 -1.74010577]
  [397]: [-2.38293653 -1.65654307  0.65381315  0.38730729]
  [398]: [-2.70132695 -0.82616172  0.23527143 -0.98231201]
  [399]: [-2.10604805  0.42255199  2.06596357 -0.34322869]
  [400]: [-2.17845883  1.97825548 -0.03311356  0.58286008]
  [401]: [ 2.54245887 -0.06362729  1.12666512 -1.12360143]
  [402]: [ 0.          0.07039287 -2.76292404 -1.16674573]
  [403]: [-2.47495106 -1.58875543  0.56355077 -0.18133935]
  [404]: [0.16076061 0.95177823 2.10490694 1.90726008]
  [405]: [2.24608374 0.5569293  0.61723864 1.80664164]
  [406]: [-1.62642052  1.4509302  -2.04596423  0.25216704]
  [407]: [ 1.59002085 -0.66770968  2.17990375 -1.12872367]
  [408]: [1.09310942 0.86546406 2.20178221 1.48601442]
  [409]: [-0.98534268 -1.51920299 -2.14824314  1.05174783]

DISTANCES (found -> nearest true):
  Found[0] -> True[0]: dist = 3.024038
  Found[1] -> True[0]: dist = 2.896051
  Found[2] -> True[0]: dist = 2.566764
  Found[3] -> True[0]: dist = 2.209848
  Found[4] -> True[0]: dist = 5.869253
  Found[5] -> True[0]: dist = 0.614609
  Found[6] -> True[0]: dist = 5.806247
  Found[7] -> True[0]: dist = 2.209848
  Found[8] -> True[0]: dist = 2.566764
  Found[9] -> True[0]: dist = 2.743511
  Found[10] -> True[0]: dist = 3.024038
  Found[11] -> True[0]: dist = 2.675202
  Found[12] -> True[0]: dist = 1.940326
  Found[13] -> True[0]: dist = 2.183892
  Found[14] -> True[0]: dist = 2.735933
  Found[15] -> True[0]: dist = 2.386722
  Found[16] -> True[0]: dist = 2.386722
  Found[17] -> True[0]: dist = 5.266041
  Found[18] -> True[0]: dist = 5.101989
  Found[19] -> True[0]: dist = 4.987492
  Found[20] -> True[0]: dist = 5.110766
  Found[21] -> True[0]: dist = 3.866809
  Found[22] -> True[0]: dist = 4.529621
  Found[23] -> True[0]: dist = 4.742287
  Found[24] -> True[0]: dist = 3.143258
  Found[25] -> True[0]: dist = 3.335404
  Found[26] -> True[0]: dist = 3.272650
  Found[27] -> True[0]: dist = 2.992030
  Found[28] -> True[0]: dist = 5.224716
  Found[29] -> True[0]: dist = 4.935617
  Found[30] -> True[0]: dist = 3.480663
  Found[31] -> True[0]: dist = 3.180252
  Found[32] -> True[0]: dist = 5.156412
  Found[33] -> True[0]: dist = 3.312008
  Found[34] -> True[0]: dist = 5.189397
  Found[35] -> True[0]: dist = 5.266634
  Found[36] -> True[0]: dist = 5.250280
  Found[37] -> True[0]: dist = 5.228396
  Found[38] -> True[0]: dist = 5.302462
  Found[39] -> True[0]: dist = 5.364246
  Found[40] -> True[0]: dist = 5.327055
  Found[41] -> True[0]: dist = 5.327055
  Found[42] -> True[0]: dist = 5.302462
  Found[43] -> True[0]: dist = 5.297179
  Found[44] -> True[0]: dist = 5.330991
  Found[45] -> True[0]: dist = 5.304199
  Found[46] -> True[0]: dist = 5.242685
  Found[47] -> True[0]: dist = 5.206532
  Found[48] -> True[0]: dist = 5.206532
  Found[49] -> True[0]: dist = 5.242685
  Found[50] -> True[0]: dist = 5.319258
  Found[51] -> True[0]: dist = 5.319258
  Found[52] -> True[0]: dist = 5.237316
  Found[53] -> True[0]: dist = 5.305287
  Found[54] -> True[0]: dist = 5.250280
  Found[55] -> True[0]: dist = 5.228396
  Found[56] -> True[0]: dist = 5.302462
  Found[57] -> True[0]: dist = 5.364246
  Found[58] -> True[0]: dist = 5.327055
  Found[59] -> True[0]: dist = 5.327055
  Found[60] -> True[0]: dist = 5.302462
  Found[61] -> True[0]: dist = 5.297179
  Found[62] -> True[0]: dist = 5.330991
  Found[63] -> True[0]: dist = 5.242685
  Found[64] -> True[0]: dist = 5.206532
  Found[65] -> True[0]: dist = 5.206532
  Found[66] -> True[0]: dist = 5.242685
  Found[67] -> True[0]: dist = 5.319258
  Found[68] -> True[0]: dist = 5.319258
  Found[69] -> True[0]: dist = 5.319192
  Found[70] -> True[0]: dist = 5.411048
  Found[71] -> True[0]: dist = 5.521165
  Found[72] -> True[0]: dist = 5.560257
  Found[73] -> True[0]: dist = 5.635947
  Found[74] -> True[0]: dist = 5.770001
  Found[75] -> True[0]: dist = 1.114783
  Found[76] -> True[0]: dist = 1.426965
  Found[77] -> True[0]: dist = 5.824041
  Found[78] -> True[0]: dist = 5.630050
  Found[79] -> True[0]: dist = 5.541691
  Found[80] -> True[0]: dist = 5.314277
  Found[81] -> True[0]: dist = 5.329243
  Found[82] -> True[0]: dist = 5.529488
  Found[83] -> True[0]: dist = 5.716456
  Found[84] -> True[0]: dist = 1.343653
  Found[85] -> True[0]: dist = 5.745577
  Found[86] -> True[0]: dist = 5.469331
  Found[87] -> True[0]: dist = 5.499261
  Found[88] -> True[0]: dist = 5.196397
  Found[89] -> True[0]: dist = 5.274648
  Found[90] -> True[0]: dist = 5.296513
  Found[91] -> True[0]: dist = 5.371699
  Found[92] -> True[0]: dist = 5.382548
  Found[93] -> True[0]: dist = 5.174656
  Found[94] -> True[0]: dist = 5.275499
  Found[95] -> True[0]: dist = 5.282354
  Found[96] -> True[0]: dist = 5.228806
  Found[97] -> True[0]: dist = 5.247332
  Found[98] -> True[0]: dist = 5.078580
  Found[99] -> True[0]: dist = 5.022679
  Found[100] -> True[0]: dist = 4.861419
  Found[101] -> True[0]: dist = 5.225036
  Found[102] -> True[0]: dist = 5.204979
  Found[103] -> True[0]: dist = 5.192684
  Found[104] -> True[0]: dist = 5.216797
  Found[105] -> True[0]: dist = 5.251010
  Found[106] -> True[0]: dist = 5.330088
  Found[107] -> True[0]: dist = 5.182399
  Found[108] -> True[0]: dist = 5.184145
  Found[109] -> True[0]: dist = 5.212196
  Found[110] -> True[0]: dist = 5.350280
  Found[111] -> True[0]: dist = 5.329033
  Found[112] -> True[0]: dist = 5.388260
  Found[113] -> True[0]: dist = 5.248811
  Found[114] -> True[0]: dist = 5.351930
  Found[115] -> True[0]: dist = 5.397961
  Found[116] -> True[0]: dist = 5.165986
  Found[117] -> True[0]: dist = 5.300356
  Found[118] -> True[0]: dist = 5.290186
  Found[119] -> True[0]: dist = 5.247864
  Found[120] -> True[0]: dist = 5.234312
  Found[121] -> True[0]: dist = 5.399712
  Found[122] -> True[0]: dist = 5.357035
  Found[123] -> True[0]: dist = 2.932624
  Found[124] -> True[0]: dist = 3.047795
  Found[125] -> True[0]: dist = 2.740909
  Found[126] -> True[0]: dist = 5.180036
  Found[127] -> True[0]: dist = 2.905953
  Found[128] -> True[0]: dist = 3.142484
  Found[129] -> True[0]: dist = 4.773764
  Found[130] -> True[0]: dist = 4.544874
  Found[131] -> True[0]: dist = 3.924123
  Found[132] -> True[0]: dist = 4.252669
  Found[133] -> True[0]: dist = 4.344547
  Found[134] -> True[0]: dist = 2.895179
  Found[135] -> True[0]: dist = 4.964389
  Found[136] -> True[0]: dist = 4.358718
  Found[137] -> True[0]: dist = 2.626637
  Found[138] -> True[0]: dist = 5.033797
  Found[139] -> True[0]: dist = 4.154896
  Found[140] -> True[0]: dist = 3.599762
  Found[141] -> True[0]: dist = 3.585191
  Found[142] -> True[0]: dist = 3.528140
  Found[143] -> True[0]: dist = 3.592718
  Found[144] -> True[0]: dist = 3.702459
  Found[145] -> True[0]: dist = 3.267318
  Found[146] -> True[0]: dist = 3.410243
  Found[147] -> True[0]: dist = 3.393983
  Found[148] -> True[0]: dist = 3.234315
  Found[149] -> True[0]: dist = 3.495289
  Found[150] -> True[0]: dist = 3.624514
  Found[151] -> True[0]: dist = 3.235947
  Found[152] -> True[0]: dist = 3.395428
  Found[153] -> True[0]: dist = 3.409697
  Found[154] -> True[0]: dist = 3.689576
  Found[155] -> True[0]: dist = 3.485147
  Found[156] -> True[0]: dist = 3.404266
  Found[157] -> True[0]: dist = 5.633345
  Found[158] -> True[0]: dist = 2.151836
  Found[159] -> True[0]: dist = 5.681252
  Found[160] -> True[0]: dist = 3.535882
  Found[161] -> True[0]: dist = 3.828281
  Found[162] -> True[0]: dist = 4.492707
  Found[163] -> True[0]: dist = 4.788119
  Found[164] -> True[0]: dist = 3.304820
  Found[165] -> True[0]: dist = 5.323413
  Found[166] -> True[0]: dist = 5.317753
  Found[167] -> True[0]: dist = 3.088739
  Found[168] -> True[0]: dist = 4.645198
  Found[169] -> True[0]: dist = 2.922521
  Found[170] -> True[0]: dist = 5.143761
  Found[171] -> True[0]: dist = 5.066967
  Found[172] -> True[0]: dist = 5.046095
  Found[173] -> True[0]: dist = 3.751546
  Found[174] -> True[0]: dist = 4.184256
  Found[175] -> True[0]: dist = 4.595559
  Found[176] -> True[0]: dist = 4.927780
  Found[177] -> True[0]: dist = 5.278605
  Found[178] -> True[0]: dist = 5.214271
  Found[179] -> True[0]: dist = 2.590993
  Found[180] -> True[0]: dist = 5.444839
  Found[181] -> True[0]: dist = 2.373466
  Found[182] -> True[0]: dist = 5.145157
  Found[183] -> True[0]: dist = 5.003462
  Found[184] -> True[0]: dist = 3.924333
  Found[185] -> True[0]: dist = 5.551776
  Found[186] -> True[0]: dist = 3.273061
  Found[187] -> True[0]: dist = 3.986438
  Found[188] -> True[0]: dist = 2.559319
  Found[189] -> True[0]: dist = 5.250931
  Found[190] -> True[0]: dist = 5.252048
  Found[191] -> True[0]: dist = 5.119110
  Found[192] -> True[0]: dist = 5.250430
  Found[193] -> True[0]: dist = 5.210165
  Found[194] -> True[0]: dist = 5.281028
  Found[195] -> True[0]: dist = 5.164198
  Found[196] -> True[0]: dist = 5.172968
  Found[197] -> True[0]: dist = 4.991505
  Found[198] -> True[0]: dist = 4.981900
  Found[199] -> True[0]: dist = 5.231655
  Found[200] -> True[0]: dist = 5.104260
  Found[201] -> True[0]: dist = 5.018078
  Found[202] -> True[0]: dist = 5.014773
  Found[203] -> True[0]: dist = 5.219083
  Found[204] -> True[0]: dist = 5.327046
  Found[205] -> True[0]: dist = 5.228855
  Found[206] -> True[0]: dist = 5.304199
  Found[207] -> True[0]: dist = 1.373275
  Found[208] -> True[0]: dist = 2.750866
  Found[209] -> True[0]: dist = 4.259331
  Found[210] -> True[0]: dist = 4.029985
  Found[211] -> True[0]: dist = 3.186770
  Found[212] -> True[0]: dist = 5.045706
  Found[213] -> True[0]: dist = 3.959582
  Found[214] -> True[0]: dist = 4.109589
  Found[215] -> True[0]: dist = 4.552381
  Found[216] -> True[0]: dist = 5.271302
  Found[217] -> True[0]: dist = 5.842785
  Found[218] -> True[0]: dist = 5.304199
  Found[219] -> True[0]: dist = 4.682775
  Found[220] -> True[0]: dist = 2.804545
  Found[221] -> True[0]: dist = 4.869977
  Found[222] -> True[0]: dist = 1.328535
  Found[223] -> True[0]: dist = 3.723770
  Found[224] -> True[0]: dist = 2.891850
  Found[225] -> True[0]: dist = 3.250167
  Found[226] -> True[0]: dist = 5.691071
  Found[227] -> True[0]: dist = 3.035968
  Found[228] -> True[0]: dist = 5.335943
  Found[229] -> True[0]: dist = 5.437731
  Found[230] -> True[0]: dist = 2.804545
  Found[231] -> True[0]: dist = 2.219240
  Found[232] -> True[0]: dist = 4.585264
  Found[233] -> True[0]: dist = 3.620594
  Found[234] -> True[0]: dist = 5.204191
  Found[235] -> True[0]: dist = 3.695673
  Found[236] -> True[0]: dist = 3.069095
  Found[237] -> True[0]: dist = 5.304199
  Found[238] -> True[0]: dist = 4.236708
  Found[239] -> True[0]: dist = 2.804545
  Found[240] -> True[0]: dist = 2.703275
  Found[241] -> True[0]: dist = 5.040551
  Found[242] -> True[0]: dist = 4.685605
  Found[243] -> True[0]: dist = 4.573693
  Found[244] -> True[0]: dist = 4.857312
  Found[245] -> True[0]: dist = 4.704734
  Found[246] -> True[0]: dist = 4.940434
  Found[247] -> True[0]: dist = 3.681287
  Found[248] -> True[0]: dist = 4.487807
  Found[249] -> True[0]: dist = 3.092235
  Found[250] -> True[0]: dist = 4.801037
  Found[251] -> True[0]: dist = 5.554812
  Found[252] -> True[0]: dist = 5.396001
  Found[253] -> True[0]: dist = 2.820161
  Found[254] -> True[0]: dist = 5.443535
  Found[255] -> True[0]: dist = 5.434327
  Found[256] -> True[0]: dist = 5.881602
  Found[257] -> True[0]: dist = 3.455094
  Found[258] -> True[0]: dist = 4.887132
  Found[259] -> True[0]: dist = 4.613122
  Found[260] -> True[0]: dist = 3.636718
  Found[261] -> True[0]: dist = 4.537593
  Found[262] -> True[0]: dist = 3.297912
  Found[263] -> True[0]: dist = 2.892362
  Found[264] -> True[0]: dist = 5.538368
  Found[265] -> True[0]: dist = 2.501871
  Found[266] -> True[0]: dist = 1.036896
  Found[267] -> True[0]: dist = 4.943861
  Found[268] -> True[0]: dist = 4.486203
  Found[269] -> True[0]: dist = 2.532918
  Found[270] -> True[0]: dist = 5.282266
  Found[271] -> True[0]: dist = 4.381700
  Found[272] -> True[0]: dist = 2.124776
  Found[273] -> True[0]: dist = 2.773262
  Found[274] -> True[0]: dist = 4.535890
  Found[275] -> True[0]: dist = 4.629764
  Found[276] -> True[0]: dist = 4.294505
  Found[277] -> True[0]: dist = 5.529895
  Found[278] -> True[0]: dist = 3.445262
  Found[279] -> True[0]: dist = 2.818699
  Found[280] -> True[0]: dist = 4.513075
  Found[281] -> True[0]: dist = 4.504176
  Found[282] -> True[0]: dist = 5.699089
  Found[283] -> True[0]: dist = 3.197108
  Found[284] -> True[0]: dist = 5.120661
  Found[285] -> True[0]: dist = 3.731341
  Found[286] -> True[0]: dist = 2.041478
  Found[287] -> True[0]: dist = 2.348456
  Found[288] -> True[0]: dist = 1.714527
  Found[289] -> True[0]: dist = 4.465329
  Found[290] -> True[0]: dist = 4.181982
  Found[291] -> True[0]: dist = 3.455573
  Found[292] -> True[0]: dist = 2.119290
  Found[293] -> True[0]: dist = 2.855311
  Found[294] -> True[0]: dist = 4.002664
  Found[295] -> True[0]: dist = 3.630058
  Found[296] -> True[0]: dist = 4.942272
  Found[297] -> True[0]: dist = 5.959477
  Found[298] -> True[0]: dist = 3.744468
  Found[299] -> True[0]: dist = 3.763838
  Found[300] -> True[0]: dist = 3.928290
  Found[301] -> True[0]: dist = 2.840914
  Found[302] -> True[0]: dist = 4.870384
  Found[303] -> True[0]: dist = 2.190622
  Found[304] -> True[0]: dist = 4.164946
  Found[305] -> True[0]: dist = 2.228120
  Found[306] -> True[0]: dist = 4.357942
  Found[307] -> True[0]: dist = 2.643174
  Found[308] -> True[0]: dist = 5.740648
  Found[309] -> True[0]: dist = 4.796493
  Found[310] -> True[0]: dist = 5.809756
  Found[311] -> True[0]: dist = 2.951157
  Found[312] -> True[0]: dist = 2.455665
  Found[313] -> True[0]: dist = 4.489012
  Found[314] -> True[0]: dist = 5.560856
  Found[315] -> True[0]: dist = 2.520549
  Found[316] -> True[0]: dist = 4.112191
  Found[317] -> True[0]: dist = 5.415311
  Found[318] -> True[0]: dist = 4.783908
  Found[319] -> True[0]: dist = 3.404532
  Found[320] -> True[0]: dist = 3.561616
  Found[321] -> True[0]: dist = 3.932396
  Found[322] -> True[0]: dist = 3.285506
  Found[323] -> True[0]: dist = 3.679328
  Found[324] -> True[0]: dist = 3.928130
  Found[325] -> True[0]: dist = 4.212338
  Found[326] -> True[0]: dist = 3.999352
  Found[327] -> True[0]: dist = 4.102898
  Found[328] -> True[0]: dist = 5.693203
  Found[329] -> True[0]: dist = 5.720182
  Found[330] -> True[0]: dist = 5.394321
  Found[331] -> True[0]: dist = 4.036322
  Found[332] -> True[0]: dist = 4.062058
  Found[333] -> True[0]: dist = 1.955097
  Found[334] -> True[0]: dist = 3.955932
  Found[335] -> True[0]: dist = 4.387628
  Found[336] -> True[0]: dist = 5.573529
  Found[337] -> True[0]: dist = 4.242641
  Found[338] -> True[0]: dist = 2.677117
  Found[339] -> True[0]: dist = 1.644604
  Found[340] -> True[0]: dist = 3.612051
  Found[341] -> True[0]: dist = 5.231983
  Found[342] -> True[0]: dist = 3.528503
  Found[343] -> True[0]: dist = 3.030707
  Found[344] -> True[0]: dist = 3.922802
  Found[345] -> True[0]: dist = 2.087265
  Found[346] -> True[0]: dist = 5.362281
  Found[347] -> True[0]: dist = 3.775103
  Found[348] -> True[0]: dist = 3.038651
  Found[349] -> True[0]: dist = 5.517797
  Found[350] -> True[0]: dist = 5.368376
  Found[351] -> True[0]: dist = 3.925515
  Found[352] -> True[0]: dist = 4.353452
  Found[353] -> True[0]: dist = 5.225238
  Found[354] -> True[0]: dist = 5.219649
  Found[355] -> True[0]: dist = 0.792482
  Found[356] -> True[0]: dist = 4.542405
  Found[357] -> True[0]: dist = 2.227806
  Found[358] -> True[0]: dist = 4.487790
  Found[359] -> True[0]: dist = 4.013883
  Found[360] -> True[0]: dist = 5.719047
  Found[361] -> True[0]: dist = 4.896935
  Found[362] -> True[0]: dist = 3.371039
  Found[363] -> True[0]: dist = 5.272095
  Found[364] -> True[0]: dist = 3.903838
  Found[365] -> True[0]: dist = 5.882404
  Found[366] -> True[0]: dist = 2.400790
  Found[367] -> True[0]: dist = 4.505311
  Found[368] -> True[0]: dist = 2.364743
  Found[369] -> True[0]: dist = 4.110556
  Found[370] -> True[0]: dist = 4.603149
  Found[371] -> True[0]: dist = 4.996177
  Found[372] -> True[0]: dist = 2.571966
  Found[373] -> True[0]: dist = 3.433599
  Found[374] -> True[0]: dist = 4.797499
  Found[375] -> True[0]: dist = 5.763813
  Found[376] -> True[0]: dist = 3.496889
  Found[377] -> True[0]: dist = 3.153456
  Found[378] -> True[0]: dist = 5.723733
  Found[379] -> True[0]: dist = 5.214309
  Found[380] -> True[0]: dist = 3.900155
  Found[381] -> True[0]: dist = 4.317538
  Found[382] -> True[0]: dist = 5.881613
  Found[383] -> True[0]: dist = 5.233737
  Found[384] -> True[0]: dist = 4.201661
  Found[385] -> True[0]: dist = 4.827241
  Found[386] -> True[0]: dist = 1.352552
  Found[387] -> True[0]: dist = 4.684257
  Found[388] -> True[0]: dist = 5.583297
  Found[389] -> True[0]: dist = 4.825513
  Found[390] -> True[0]: dist = 3.737491
  Found[391] -> True[0]: dist = 3.505949
  Found[392] -> True[0]: dist = 3.828269
  Found[393] -> True[0]: dist = 4.628410
  Found[394] -> True[0]: dist = 5.109526
  Found[395] -> True[0]: dist = 2.245061
  Found[396] -> True[0]: dist = 3.535506
  Found[397] -> True[0]: dist = 5.683099
  Found[398] -> True[0]: dist = 5.848757
  Found[399] -> True[0]: dist = 5.535006
  Found[400] -> True[0]: dist = 5.574115
  Found[401] -> True[0]: dist = 1.656879
  Found[402] -> True[0]: dist = 4.242641
  Found[403] -> True[0]: dist = 5.731466
  Found[404] -> True[0]: dist = 4.127401
  Found[405] -> True[0]: dist = 2.126852
  Found[406] -> True[0]: dist = 5.268636
  Found[407] -> True[0]: dist = 2.908586
  Found[408] -> True[0]: dist = 3.382506
  Found[409] -> True[0]: dist = 4.889996

----------------------------------------------------------------------
Function: twisted_t1.0_4D
Dimension: 4
Status: SUCCESS
Error: 0.3821 log units

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

FOUND PEAKS (1):
  [0]: [1.57247263e-08 2.66915422e-08 1.20679267e-08 4.00238466e-09]

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

----------------------------------------------------------------------
Function: skew_normal_a5.0_4D
Dimension: 4
Status: FAILED

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

FOUND PEAKS: None found

----------------------------------------------------------------------
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]: [2.07104711e-06 9.12942464e-10 3.77104326e-09 9.12942464e-10]
  [1]: [4.99983217e+00 6.43207697e-09 1.56047616e-08 4.57619062e-09]

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 -3.94927965e-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]: [0.00000000e+00 7.42696847e-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: 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: 0.1994 log units

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

FOUND PEAKS (1):
  [0]: [5.89622731e-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: 69.7462 log units

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

FOUND PEAKS (489):
  [0]: [ 1.10272286  1.10272286  1.20660781  0.94518195 -0.94518195  1.10272286
  1.10272286 -0.94518195]
  [1]: [ 1.36374107  1.36374107  0.40742193  0.6818696  -0.68187329  1.36374107
  1.36374107 -0.68187329]
  [2]: [ 1.41918191  1.41918191  0.40547997  0.40547997 -0.6711548   1.41918191
  1.41918191 -0.40547997]
  [3]: [ 1.47794578  1.47794578  0.02428758  0.29558619 -0.29558755  1.47794578
  1.47794578 -0.29558755]
  [4]: [ 1.48837227  1.48837227  0.0580023  -0.21262464  0.21262464  1.48837227
  1.48837227  0.21262464]
  [5]: [ 1.36374107  1.36374107 -0.40742193 -0.6818696   0.68187329  1.36374107
  1.36374107  0.68187329]
  [6]: [ 1.16875784  1.16875784 -1.00179945 -1.00179945  0.72471652  1.16875784
  1.16875784  1.00179945]
  [7]: [ 0.81357574  1.0914011  -1.0914011  -1.0914011   1.0914011   1.0914011
  1.0914011   1.0914011 ]
  [8]: [ 1.39301374  1.39301374  0.69650591  0.69650591 -0.69650968  1.11267505
  1.39301373 -0.69650968]
  [9]: [ 1.45229178  1.45229178  0.29045544  0.29045544 -0.55704622  1.45229178
  1.45229178 -0.29045678]
  [10]: [ 1.43391429  1.43391429 -0.35848001 -0.35848001  0.62452818  1.43391429
  1.43391429  0.35848001]
  [11]: [ 1.39301374  1.39301374 -0.69650591 -0.69650591  0.69650968  1.11267505
  1.39301373  0.69650968]
  [12]: [ 1.05327662  1.33311443  0.79987519  0.79987519 -0.79989877  1.33306743
  1.33306743 -0.79989877]
  [13]: [ 1.46530624  1.46530624  0.09445541  0.36632803 -0.36632803  1.46530624
  1.46530624 -0.36632803]
  [14]: [ 1.05327662  1.33311443 -0.79987519 -0.79987519  0.79989877  1.33306743
  1.33306743  0.79989877]
  [15]: [-1.15220091  1.15220091 -1.15220091 -1.15220091  0.87387066  0.98760352
  0.98760357  0.98760357]
  [16]: [-1.24821631  1.24821631 -1.24821631 -1.24821631  1.24821631  0.43854692
  0.71325199  0.71325199]
  [17]: [-1.2566068   1.2566068  -1.2566068  -1.2566068   1.51561264  0.35901521
  0.35901521  0.35901521]
  [18]: [-1.10393376  1.38419868 -1.38419868 -1.38419868  1.38419868  0.19774248
  0.19774248  0.19774248]
  [19]: [-1.28588579  1.28588579 -1.28588579 -1.28588579  1.54466531  0.
  0.          0.        ]
  [20]: [-1.29037714  1.29037714 -1.29037714 -1.29037714  1.29037714 -0.36868268
 -0.63464976 -0.36868268]
  [21]: [-1.14108458  1.14108458 -1.14108458 -1.14108458  1.14108458 -1.07749833
 -0.81505437 -0.81505437]
  [22]: [-0.81357574  1.0914011  -1.0914011  -1.0914011   1.0914011  -1.0914011
 -1.0914011  -1.0914011 ]
  [23]: [-1.25817971  1.25817971 -1.25817971 -1.25817971  0.97896728  0.75488593
  0.75488593  0.75488593]
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  [436]: [-1.28535328 -1.02454638  1.02454638  1.02454638  1.02454638  1.02454638
  1.02454638  1.02454638]
  [437]: [ 0.2689131   0.          0.          0.         -2.98792332  0.
  0.          0.        ]
  [438]: [ 1.28535328 -1.02454638  1.02454638 -1.02454638  1.02454638  1.02454638
 -1.02454638 -1.02454638]
  [439]: [ 1.28535328  1.02454638  1.02454638 -1.02454638  1.02454638  1.02454638
  1.02454638 -1.02454638]
  [440]: [-1.28535329 -1.02454638  1.02454638  1.02454638 -1.02454638 -1.02454638
  1.02454638  1.02454638]
  [441]: [ 1.28535328 -1.02454638 -1.02454638  1.02454638 -1.02454638 -1.02454638
 -1.02454638 -1.02454638]
  [442]: [-1.28535328 -1.02454638  1.02454638  1.02454638  1.02454638  1.02454638
 -1.02454638  1.02454638]
  [443]: [ 1.28535328  1.02454638  1.02454638  1.02454638  1.02454638  1.02454638
 -1.02454638  1.02454638]
  [444]: [ 0.8255903   1.33452888  0.55124784  1.51646822 -1.97752465 -0.15257632
  0.          0.        ]
  [445]: [-1.28535328  1.02454638  1.02454638  1.02454638  1.02454638  1.02454638
  1.02454638  1.02454638]
  [446]: [-1.28535328  1.02454638  1.02454638  1.02454638  1.02454638 -1.02454638
 -1.02454638  1.02454638]
  [447]: [ 1.28535328 -1.02454638 -1.02454638 -1.02454638  1.02454638 -1.02454638
  1.02454638 -1.02454638]
  [448]: [-1.28535328  1.02454638 -1.02454638 -1.02454638 -1.02454638  1.02454638
  1.02454638  1.02454638]
  [449]: [ 1.03327509  0.27372413  0.12116428  1.12827809 -0.05776123 -1.86500604
  1.4947742   0.92400848]
  [450]: [-1.28535328  1.02454638 -1.02454638  1.02454638  1.02454638  1.02454638
 -1.02454638 -1.02454638]
  [451]: [-1.28535328  1.02454638  1.02454638 -1.02454638  1.02454638 -1.02454638
  1.02454638  1.02454638]
  [452]: [-2.13222932 -0.06065589 -0.24089542  0.21815642  1.47964868 -1.09936619
  0.68503847  0.69068967]
  [453]: [ 1.28535328  1.02454638  1.02454638  1.02454638  1.02454638 -1.02454638
  1.02454638 -1.02454638]
  [454]: [-1.28535328  1.02454638 -1.02454638  1.02454638 -1.02454638 -1.02454638
  1.02454638 -1.02454638]
  [455]: [ 0.01148763 -0.65544631  2.42623544 -0.13326138  0.01138242  0.69249806
 -0.05060608  1.47771346]
  [456]: [2.98792332 0.2689131  0.         0.         0.         0.
 0.         0.        ]
  [457]: [-1.28535328  1.02454638  1.02454638 -1.02454638 -1.02454638  1.02454638
 -1.02454638 -1.02454638]
  [458]: [ 1.28535328  1.02454638  1.02454638  1.02454638  1.02454638 -1.02454638
 -1.02454638 -1.02454638]
  [459]: [-0.05459183  1.9946981  -1.48524996  0.82329232  0.9858282   0.02953468
 -1.07758258 -0.02253349]
  [460]: [ 1.28535328 -1.02454638  1.02454638  1.02454638  1.02454638  1.02454638
 -1.02454638  1.02454638]
  [461]: [-1.08277442  1.08277442 -1.08277442 -1.08277442  1.08277442  0.92809493
  1.18965429  0.92809498]
  [462]: [-1.28535328 -1.02454638 -1.02454638 -1.02454638  1.02454638 -1.02454638
 -1.02454638 -1.02454638]
  [463]: [ 1.28535329 -1.02454638  1.02454638 -1.02454638  1.02454638 -1.02454638
 -1.02454638  1.02454638]
  [464]: [-1.28535328  1.02454638  1.02454638 -1.02454638 -1.02454638 -1.02454638
 -1.02454638  1.02454638]
  [465]: [ 1.28535328  1.02454638  1.02454638 -1.02454638  1.02454638  1.02454638
 -1.02454638  1.02454638]
  [466]: [ 1.28535328  1.02454638  1.02454638 -1.02454638 -1.02454638  1.02454638
 -1.02454638  1.02454638]
  [467]: [-0.88150976 -0.78249068  1.88270342 -0.91391852  0.          0.
 -0.5551851   1.70956109]
  [468]: [ 0.         -0.48092035  1.16741829 -0.5814309  -1.63514384  0.
 -1.19479214 -1.7223718 ]
  [469]: [-1.28535328 -1.02454638 -1.02454638 -1.02454638 -1.02454638 -1.02454638
  1.02454638  1.02454638]
  [470]: [ 1.89103478  0.          0.          0.          0.          0.
 -0.04489773 -2.32851276]
  [471]: [-1.28535328  1.02454638  1.02454638 -1.02454638 -1.02454638 -1.02454638
  1.02454638 -1.02454638]
  [472]: [ 1.28535329 -1.02454638  1.02454638 -1.02454638 -1.02454638  1.02454638
  1.02454638  1.02454638]
  [473]: [-1.28535329 -1.02454638 -1.02454638 -1.02454638  1.02454638  1.02454638
  1.02454638 -1.02454638]
  [474]: [0.2689131  0.         0.         0.         2.98792332 0.
 0.         0.        ]
  [475]: [ 1.28535329 -1.02454637  1.02454637  1.02454637 -1.02454637  1.02454637
 -1.02454637 -1.02454637]
  [476]: [0.2689131  0.         2.98792332 0.         0.         0.
 0.         0.        ]
  [477]: [1.33180737 1.91236059 0.2689131  1.82941978 0.         0.
 0.38739531 0.        ]
  [478]: [ 0.          0.          0.         -1.63236547  0.          2.51701866
  0.          0.        ]
  [479]: [-0.5141434   1.66084797  0.989952   -1.51844328  0.39853912  0.18178995
 -0.13535319 -1.57523463]
  [480]: [ 0.          0.          0.          0.         -1.93575475  0.2689131
  0.          2.27607981]
  [481]: [-1.28535328 -1.02454638 -1.02454638  1.02454638 -1.02454638 -1.02454638
  1.02454638 -1.02454638]
  [482]: [ 1.28535328  1.02454638  1.02454638  1.02454638 -1.02454638 -1.02454638
  1.02454638  1.02454638]
  [483]: [-0.69648447  1.17063261 -1.41566817  1.69033529  1.10694699  0.74873709
 -0.62001986 -0.3358801 ]
  [484]: [-1.28535328 -1.02454638  1.02454638 -1.02454638  1.02454638  1.02454638
  1.02454638  1.02454638]
  [485]: [ 1.28535328  1.02454638  1.02454638 -1.02454638 -1.02454638 -1.02454638
  1.02454638 -1.02454638]
  [486]: [-1.28535328 -1.02454638  1.02454638  1.02454638  1.02454638  1.02454638
  1.02454638 -1.02454638]
  [487]: [-1.28535329  1.02454638  1.02454638  1.02454638  1.02454638 -1.02454638
 -1.02454638 -1.02454638]
  [488]: [-1.2853533   1.02454637 -1.02454637  1.02454637  1.02454637  1.02454637
  1.02454637 -1.02454637]

DISTANCES (found -> nearest true):
  Found[0] -> True[0]: dist = 3.373968
  Found[1] -> True[0]: dist = 3.133298
  Found[2] -> True[0]: dist = 3.079758
  Found[3] -> True[0]: dist = 3.021974
  Found[4] -> True[0]: dist = 3.011605
  Found[5] -> True[0]: dist = 3.133298
  Found[6] -> True[0]: dist = 3.314733
  Found[7] -> True[0]: dist = 3.621953
  Found[8] -> True[0]: dist = 3.105144
  Found[9] -> True[0]: dist = 3.047335
  Found[10] -> True[0]: dist = 3.065373
  Found[11] -> True[0]: dist = 3.105144
  Found[12] -> True[0]: dist = 3.417651
  Found[13] -> True[0]: dist = 3.034495
  Found[14] -> True[0]: dist = 3.417651
  Found[15] -> True[0]: dist = 4.991313
  Found[16] -> True[0]: dist = 5.048693
  Found[17] -> True[0]: dist = 5.053676
  Found[18] -> True[0]: dist = 4.962218
  Found[19] -> True[0]: dist = 5.071027
  Found[20] -> True[0]: dist = 5.073683
  Found[21] -> True[0]: dist = 4.984627
  Found[22] -> True[0]: dist = 4.783456
  Found[23] -> True[0]: dist = 5.054610
  Found[24] -> True[0]: dist = 5.054610
  Found[25] -> True[0]: dist = 3.897351
  Found[26] -> True[0]: dist = 3.822052
  Found[27] -> True[0]: dist = 4.006397
  Found[28] -> True[0]: dist = 4.242641
  Found[29] -> True[0]: dist = 4.946210
  Found[30] -> True[0]: dist = 4.783456
  Found[31] -> True[0]: dist = 4.013114
  Found[32] -> True[0]: dist = 4.466406
  Found[33] -> True[0]: dist = 3.509222
  Found[34] -> True[0]: dist = 4.058868
  Found[35] -> True[0]: dist = 4.470723
  Found[36] -> True[0]: dist = 4.561870
  Found[37] -> True[0]: dist = 3.621953
  Found[38] -> True[0]: dist = 3.679623
  Found[39] -> True[0]: dist = 3.822052
  Found[40] -> True[0]: dist = 3.958646
  Found[41] -> True[0]: dist = 4.111480
  Found[42] -> True[0]: dist = 4.242641
  Found[43] -> True[0]: dist = 4.625177
  Found[44] -> True[0]: dist = 4.831081
  Found[45] -> True[0]: dist = 4.783456
  Found[46] -> True[0]: dist = 3.485665
  Found[47] -> True[0]: dist = 3.993773
  Found[48] -> True[0]: dist = 4.641840
  Found[49] -> True[0]: dist = 4.836179
  Found[50] -> True[0]: dist = 3.558181
  Found[51] -> True[0]: dist = 4.107069
  Found[52] -> True[0]: dist = 4.470723
  Found[53] -> True[0]: dist = 4.739238
  Found[54] -> True[0]: dist = 3.390893
  Found[55] -> True[0]: dist = 3.338690
  Found[56] -> True[0]: dist = 3.346146
  Found[57] -> True[0]: dist = 3.383926
  Found[58] -> True[0]: dist = 3.165785
  Found[59] -> True[0]: dist = 3.191751
  Found[60] -> True[0]: dist = 3.359809
  Found[61] -> True[0]: dist = 3.386721
  Found[62] -> True[0]: dist = 3.386721
  Found[63] -> True[0]: dist = 3.333091
  Found[64] -> True[0]: dist = 3.317198
  Found[65] -> True[0]: dist = 3.317198
  Found[66] -> True[0]: dist = 3.384020
  Found[67] -> True[0]: dist = 3.670358
  Found[68] -> True[0]: dist = 3.350756
  Found[69] -> True[0]: dist = 3.638789
  Found[70] -> True[0]: dist = 3.700997
  Found[71] -> True[0]: dist = 3.604489
  Found[72] -> True[0]: dist = 3.897650
  Found[73] -> True[0]: dist = 3.875627
  Found[74] -> True[0]: dist = 4.423068
  Found[75] -> True[0]: dist = 3.495013
  Found[76] -> True[0]: dist = 3.547144
  Found[77] -> True[0]: dist = 3.862590
  Found[78] -> True[0]: dist = 4.138178
  Found[79] -> True[0]: dist = 4.346083
  Found[80] -> True[0]: dist = 3.870354
  Found[81] -> True[0]: dist = 3.410999
  Found[82] -> True[0]: dist = 3.590985
  Found[83] -> True[0]: dist = 3.299361
  Found[84] -> True[0]: dist = 3.271554
  Found[85] -> True[0]: dist = 3.284054
  Found[86] -> True[0]: dist = 3.257747
  Found[87] -> True[0]: dist = 3.269728
  Found[88] -> True[0]: dist = 3.263959
  Found[89] -> True[0]: dist = 3.359643
  Found[90] -> True[0]: dist = 3.477517
  Found[91] -> True[0]: dist = 3.547004
  Found[92] -> True[0]: dist = 3.584837
  Found[93] -> True[0]: dist = 3.709822
  Found[94] -> True[0]: dist = 3.967074
  Found[95] -> True[0]: dist = 3.264856
  Found[96] -> True[0]: dist = 3.357161
  Found[97] -> True[0]: dist = 3.528947
  Found[98] -> True[0]: dist = 3.279863
  Found[99] -> True[0]: dist = 3.341952
  Found[100] -> True[0]: dist = 3.552881
  Found[101] -> True[0]: dist = 3.384020
  Found[102] -> True[0]: dist = 3.226509
  Found[103] -> True[0]: dist = 3.138323
  Found[104] -> True[0]: dist = 2.895076
  Found[105] -> True[0]: dist = 3.018845
  Found[106] -> True[0]: dist = 3.083855
  Found[107] -> True[0]: dist = 3.051025
  Found[108] -> True[0]: dist = 3.108316
  Found[109] -> True[0]: dist = 3.231371
  Found[110] -> True[0]: dist = 3.350949
  Found[111] -> True[0]: dist = 3.511391
  Found[112] -> True[0]: dist = 3.153546
  Found[113] -> True[0]: dist = 3.158729
  Found[114] -> True[0]: dist = 3.079686
  Found[115] -> True[0]: dist = 3.030403
  Found[116] -> True[0]: dist = 3.120516
  Found[117] -> True[0]: dist = 3.059478
  Found[118] -> True[0]: dist = 3.015276
  Found[119] -> True[0]: dist = 3.217191
  Found[120] -> True[0]: dist = 4.221147
  Found[121] -> True[0]: dist = 4.279907
  Found[122] -> True[0]: dist = 4.381996
  Found[123] -> True[0]: dist = 4.472310
  Found[124] -> True[0]: dist = 4.747250
  Found[125] -> True[0]: dist = 4.806110
  Found[126] -> True[0]: dist = 4.824339
  Found[127] -> True[0]: dist = 4.901259
  Found[128] -> True[0]: dist = 4.278931
  Found[129] -> True[0]: dist = 4.813394
  Found[130] -> True[0]: dist = 4.836625
  Found[131] -> True[0]: dist = 4.571788
  Found[132] -> True[0]: dist = 4.752969
  Found[133] -> True[0]: dist = 4.822622
  Found[134] -> True[0]: dist = 3.340919
  Found[135] -> True[0]: dist = 3.402102
  Found[136] -> True[0]: dist = 3.304637
  Found[137] -> True[0]: dist = 3.319075
  Found[138] -> True[0]: dist = 3.419067
  Found[139] -> True[0]: dist = 3.707582
  Found[140] -> True[0]: dist = 3.860758
  Found[141] -> True[0]: dist = 3.927605
  Found[142] -> True[0]: dist = 3.990383
  Found[143] -> True[0]: dist = 4.092324
  Found[144] -> True[0]: dist = 4.093018
  Found[145] -> True[0]: dist = 3.196296
  Found[146] -> True[0]: dist = 3.313790
  Found[147] -> True[0]: dist = 3.508560
  Found[148] -> True[0]: dist = 3.732912
  Found[149] -> True[0]: dist = 3.835689
  Found[150] -> True[0]: dist = 3.315869
  Found[151] -> True[0]: dist = 3.476045
  Found[152] -> True[0]: dist = 3.749551
  Found[153] -> True[0]: dist = 3.925689
  Found[154] -> True[0]: dist = 3.392283
  Found[155] -> True[0]: dist = 3.021665
  Found[156] -> True[0]: dist = 2.819518
  Found[157] -> True[0]: dist = 2.733763
  Found[158] -> True[0]: dist = 2.677839
  Found[159] -> True[0]: dist = 2.514258
  Found[160] -> True[0]: dist = 2.734997
  Found[161] -> True[0]: dist = 2.346013
  Found[162] -> True[0]: dist = 2.530801
  Found[163] -> True[0]: dist = 2.560952
  Found[164] -> True[0]: dist = 2.674631
  Found[165] -> True[0]: dist = 2.994494
  Found[166] -> True[0]: dist = 2.793664
  Found[167] -> True[0]: dist = 2.656317
  Found[168] -> True[0]: dist = 2.587588
  Found[169] -> True[0]: dist = 2.916977
  Found[170] -> True[0]: dist = 2.653466
  Found[171] -> True[0]: dist = 2.529301
  Found[172] -> True[0]: dist = 3.929044
  Found[173] -> True[0]: dist = 4.177725
  Found[174] -> True[0]: dist = 4.294729
  Found[175] -> True[0]: dist = 4.397195
  Found[176] -> True[0]: dist = 4.458896
  Found[177] -> True[0]: dist = 4.521892
  Found[178] -> True[0]: dist = 3.927276
  Found[179] -> True[0]: dist = 3.785735
  Found[180] -> True[0]: dist = 4.093483
  Found[181] -> True[0]: dist = 4.274055
  Found[182] -> True[0]: dist = 4.394927
  Found[183] -> True[0]: dist = 4.478871
  Found[184] -> True[0]: dist = 3.936058
  Found[185] -> True[0]: dist = 4.082080
  Found[186] -> True[0]: dist = 4.275534
  Found[187] -> True[0]: dist = 4.420342
  Found[188] -> True[0]: dist = 3.873104
  Found[189] -> True[0]: dist = 3.608393
  Found[190] -> True[0]: dist = 3.287072
  Found[191] -> True[0]: dist = 3.070868
  Found[192] -> True[0]: dist = 2.940304
  Found[193] -> True[0]: dist = 2.909835
  Found[194] -> True[0]: dist = 2.710545
  Found[195] -> True[0]: dist = 2.792002
  Found[196] -> True[0]: dist = 2.908111
  Found[197] -> True[0]: dist = 2.957031
  Found[198] -> True[0]: dist = 3.751724
  Found[199] -> True[0]: dist = 3.239137
  Found[200] -> True[0]: dist = 2.747190
  Found[201] -> True[0]: dist = 2.807452
  Found[202] -> True[0]: dist = 3.650808
  Found[203] -> True[0]: dist = 3.201726
  Found[204] -> True[0]: dist = 2.861508
  Found[205] -> True[0]: dist = 3.621953
  Found[206] -> True[0]: dist = 4.918844
  Found[207] -> True[0]: dist = 3.185624
  Found[208] -> True[0]: dist = 4.378079
  Found[209] -> True[0]: dist = 4.686897
  Found[210] -> True[0]: dist = 5.094874
  Found[211] -> True[0]: dist = 2.813732
  Found[212] -> True[0]: dist = 5.333248
  Found[213] -> True[0]: dist = 4.289442
  Found[214] -> True[0]: dist = 4.627568
  Found[215] -> True[0]: dist = 3.813750
  Found[216] -> True[0]: dist = 3.435836
  Found[217] -> True[0]: dist = 5.084467
  Found[218] -> True[0]: dist = 3.746064
  Found[219] -> True[0]: dist = 3.168953
  Found[220] -> True[0]: dist = 4.783456
  Found[221] -> True[0]: dist = 4.783456
  Found[222] -> True[0]: dist = 3.621953
  Found[223] -> True[0]: dist = 4.783456
  Found[224] -> True[0]: dist = 4.783456
  Found[225] -> True[0]: dist = 4.812806
  Found[226] -> True[0]: dist = 4.954635
  Found[227] -> True[0]: dist = 3.621953
  Found[228] -> True[0]: dist = 3.621953
  Found[229] -> True[0]: dist = 4.783456
  Found[230] -> True[0]: dist = 3.621953
  Found[231] -> True[0]: dist = 4.242641
  Found[232] -> True[0]: dist = 3.621953
  Found[233] -> True[0]: dist = 5.497522
  Found[234] -> True[0]: dist = 4.242641
  Found[235] -> True[0]: dist = 3.442778
  Found[236] -> True[0]: dist = 4.243300
  Found[237] -> True[0]: dist = 4.242641
  Found[238] -> True[0]: dist = 4.433232
  Found[239] -> True[0]: dist = 3.384020
  Found[240] -> True[0]: dist = 2.831317
  Found[241] -> True[0]: dist = 4.783456
  Found[242] -> True[0]: dist = 3.621953
  Found[243] -> True[0]: dist = 3.621953
  Found[244] -> True[0]: dist = 4.913988
  Found[245] -> True[0]: dist = 3.621953
  Found[246] -> True[0]: dist = 3.621953
  Found[247] -> True[0]: dist = 4.783456
  Found[248] -> True[0]: dist = 3.552950
  Found[249] -> True[0]: dist = 3.384020
  Found[250] -> True[0]: dist = 5.226685
  Found[251] -> True[0]: dist = 4.783456
  Found[252] -> True[0]: dist = 4.783456
  Found[253] -> True[0]: dist = 3.621953
  Found[254] -> True[0]: dist = 3.621953
  Found[255] -> True[0]: dist = 3.621953
  Found[256] -> True[0]: dist = 3.496483
  Found[257] -> True[0]: dist = 4.242641
  Found[258] -> True[0]: dist = 4.783456
  Found[259] -> True[0]: dist = 3.054183
  Found[260] -> True[0]: dist = 4.242641
  Found[261] -> True[0]: dist = 3.621953
  Found[262] -> True[0]: dist = 5.054083
  Found[263] -> True[0]: dist = 4.783456
  Found[264] -> True[0]: dist = 3.384020
  Found[265] -> True[0]: dist = 2.872398
  Found[266] -> True[0]: dist = 4.783456
  Found[267] -> True[0]: dist = 3.621953
  Found[268] -> True[0]: dist = 4.783456
  Found[269] -> True[0]: dist = 4.783456
  Found[270] -> True[0]: dist = 3.621953
  Found[271] -> True[0]: dist = 3.621953
  Found[272] -> True[0]: dist = 4.783456
  Found[273] -> True[0]: dist = 3.384020
  Found[274] -> True[0]: dist = 5.073736
  Found[275] -> True[0]: dist = 3.621953
  Found[276] -> True[0]: dist = 3.621953
  Found[277] -> True[0]: dist = 4.048027
  Found[278] -> True[0]: dist = 3.621953
  Found[279] -> True[0]: dist = 4.242641
  Found[280] -> True[0]: dist = 5.058362
  Found[281] -> True[0]: dist = 3.621953
  Found[282] -> True[0]: dist = 3.621953
  Found[283] -> True[0]: dist = 3.621953
  Found[284] -> True[0]: dist = 3.621953
  Found[285] -> True[0]: dist = 0.821048
  Found[286] -> True[0]: dist = 3.621953
  Found[287] -> True[0]: dist = 3.384020
  Found[288] -> True[0]: dist = 4.509211
  Found[289] -> True[0]: dist = 3.621953
  Found[290] -> True[0]: dist = 3.621953
  Found[291] -> True[0]: dist = 3.621953
  Found[292] -> True[0]: dist = 4.783456
  Found[293] -> True[0]: dist = 4.096682
  Found[294] -> True[0]: dist = 6.000000
  Found[295] -> True[0]: dist = 3.621953
  Found[296] -> True[0]: dist = 4.242641
  Found[297] -> True[0]: dist = 4.242641
  Found[298] -> True[0]: dist = 4.783456
  Found[299] -> True[0]: dist = 4.046673
  Found[300] -> True[0]: dist = 4.783456
  Found[301] -> True[0]: dist = 4.783456
  Found[302] -> True[0]: dist = 4.056229
  Found[303] -> True[0]: dist = 3.621953
  Found[304] -> True[0]: dist = 4.242641
  Found[305] -> True[0]: dist = 3.621953
  Found[306] -> True[0]: dist = 4.783456
  Found[307] -> True[0]: dist = 3.922337
  Found[308] -> True[0]: dist = 4.783456
  Found[309] -> True[0]: dist = 4.783456
  Found[310] -> True[0]: dist = 5.224046
  Found[311] -> True[0]: dist = 3.207473
  Found[312] -> True[0]: dist = 3.621953
  Found[313] -> True[0]: dist = 3.621953
  Found[314] -> True[0]: dist = 3.621953
  Found[315] -> True[0]: dist = 3.621953
  Found[316] -> True[0]: dist = 3.564995
  Found[317] -> True[0]: dist = 4.783456
  Found[318] -> True[0]: dist = 3.621953
  Found[319] -> True[0]: dist = 4.783456
  Found[320] -> True[0]: dist = 4.783456
  Found[321] -> True[0]: dist = 4.783456
  Found[322] -> True[0]: dist = 4.100506
  Found[323] -> True[0]: dist = 4.954635
  Found[324] -> True[0]: dist = 5.071940
  Found[325] -> True[0]: dist = 4.783456
  Found[326] -> True[0]: dist = 3.563632
  Found[327] -> True[0]: dist = 3.669891
  Found[328] -> True[0]: dist = 2.634584
  Found[329] -> True[0]: dist = 3.621953
  Found[330] -> True[0]: dist = 5.522946
  Found[331] -> True[0]: dist = 3.621953
  Found[332] -> True[0]: dist = 4.783456
  Found[333] -> True[0]: dist = 4.783456
  Found[334] -> True[0]: dist = 4.783456
  Found[335] -> True[0]: dist = 3.838538
  Found[336] -> True[0]: dist = 3.294489
  Found[337] -> True[0]: dist = 3.721100
  Found[338] -> True[0]: dist = 3.621953
  Found[339] -> True[0]: dist = 4.242641
  Found[340] -> True[0]: dist = 5.126653
  Found[341] -> True[0]: dist = 3.384020
  Found[342] -> True[0]: dist = 4.527067
  Found[343] -> True[0]: dist = 3.621953
  Found[344] -> True[0]: dist = 3.621953
  Found[345] -> True[0]: dist = 3.183422
  Found[346] -> True[0]: dist = 4.242641
  Found[347] -> True[0]: dist = 4.783456
  Found[348] -> True[0]: dist = 4.242641
  Found[349] -> True[0]: dist = 3.621953
  Found[350] -> True[0]: dist = 4.783456
  Found[351] -> True[0]: dist = 4.783456
  Found[352] -> True[0]: dist = 3.276127
  Found[353] -> True[0]: dist = 4.783456
  Found[354] -> True[0]: dist = 5.136068
  Found[355] -> True[0]: dist = 4.783456
  Found[356] -> True[0]: dist = 4.783456
  Found[357] -> True[0]: dist = 3.621953
  Found[358] -> True[0]: dist = 3.621953
  Found[359] -> True[0]: dist = 3.621953
  Found[360] -> True[0]: dist = 4.310619
  Found[361] -> True[0]: dist = 4.783456
  Found[362] -> True[0]: dist = 4.440236
  Found[363] -> True[0]: dist = 5.406449
  Found[364] -> True[0]: dist = 3.621953
  Found[365] -> True[0]: dist = 4.242641
  Found[366] -> True[0]: dist = 3.384020
  Found[367] -> True[0]: dist = 4.783456
  Found[368] -> True[0]: dist = 3.621953
  Found[369] -> True[0]: dist = 4.783456
  Found[370] -> True[0]: dist = 3.970060
  Found[371] -> True[0]: dist = 4.341228
  Found[372] -> True[0]: dist = 3.437318
  Found[373] -> True[0]: dist = 4.242641
  Found[374] -> True[0]: dist = 3.384020
  Found[375] -> True[0]: dist = 2.655811
  Found[376] -> True[0]: dist = 4.783456
  Found[377] -> True[0]: dist = 4.783456
  Found[378] -> True[0]: dist = 4.783456
  Found[379] -> True[0]: dist = 4.132575
  Found[380] -> True[0]: dist = 4.037286
  Found[381] -> True[0]: dist = 2.833455
  Found[382] -> True[0]: dist = 4.242641
  Found[383] -> True[0]: dist = 3.384020
  Found[384] -> True[0]: dist = 4.954635
  Found[385] -> True[0]: dist = 4.242641
  Found[386] -> True[0]: dist = 3.384020
  Found[387] -> True[0]: dist = 3.144121
  Found[388] -> True[0]: dist = 4.039455
  Found[389] -> True[0]: dist = 5.379550
  Found[390] -> True[0]: dist = 3.538095
  Found[391] -> True[0]: dist = 4.665572
  Found[392] -> True[0]: dist = 4.954635
  Found[393] -> True[0]: dist = 4.596083
  Found[394] -> True[0]: dist = 3.621953
  Found[395] -> True[0]: dist = 4.783456
  Found[396] -> True[0]: dist = 3.621953
  Found[397] -> True[0]: dist = 3.621953
  Found[398] -> True[0]: dist = 3.621953
  Found[399] -> True[0]: dist = 4.242641
  Found[400] -> True[0]: dist = 3.621953
  Found[401] -> True[0]: dist = 4.783456
  Found[402] -> True[0]: dist = 4.783456
  Found[403] -> True[0]: dist = 4.783456
  Found[404] -> True[0]: dist = 4.783456
  Found[405] -> True[0]: dist = 2.954114
  Found[406] -> True[0]: dist = 4.783456
  Found[407] -> True[0]: dist = 3.621953
  Found[408] -> True[0]: dist = 4.242641
  Found[409] -> True[0]: dist = 3.621953
  Found[410] -> True[0]: dist = 4.783456
  Found[411] -> True[0]: dist = 3.324952
  Found[412] -> True[0]: dist = 3.084335
  Found[413] -> True[0]: dist = 3.621953
  Found[414] -> True[0]: dist = 3.621953
  Found[415] -> True[0]: dist = 5.512779
  Found[416] -> True[0]: dist = 4.413362
  Found[417] -> True[0]: dist = 4.783456
  Found[418] -> True[0]: dist = 3.621953
  Found[419] -> True[0]: dist = 3.621953
  Found[420] -> True[0]: dist = 4.901932
  Found[421] -> True[0]: dist = 4.783456
  Found[422] -> True[0]: dist = 4.242641
  Found[423] -> True[0]: dist = 0.886495
  Found[424] -> True[0]: dist = 5.493562
  Found[425] -> True[0]: dist = 4.123552
  Found[426] -> True[0]: dist = 3.207473
  Found[427] -> True[0]: dist = 4.242641
  Found[428] -> True[0]: dist = 5.070712
  Found[429] -> True[0]: dist = 5.070712
  Found[430] -> True[0]: dist = 5.070712
  Found[431] -> True[0]: dist = 3.809633
  Found[432] -> True[0]: dist = 3.207473
  Found[433] -> True[0]: dist = 4.906420
  Found[434] -> True[0]: dist = 4.048027
  Found[435] -> True[0]: dist = 5.070712
  Found[436] -> True[0]: dist = 5.070712
  Found[437] -> True[0]: dist = 4.048027
  Found[438] -> True[0]: dist = 3.207473
  Found[439] -> True[0]: dist = 3.207473
  Found[440] -> True[0]: dist = 5.070712
  Found[441] -> True[0]: dist = 3.207473
  Found[442] -> True[0]: dist = 5.070712
  Found[443] -> True[0]: dist = 3.207473
  Found[444] -> True[0]: dist = 3.611988
  Found[445] -> True[0]: dist = 5.070712
  Found[446] -> True[0]: dist = 5.070712
  Found[447] -> True[0]: dist = 3.207473
  Found[448] -> True[0]: dist = 5.070712
  Found[449] -> True[0]: dist = 3.435164
  Found[450] -> True[0]: dist = 5.070712
  Found[451] -> True[0]: dist = 5.070712
  Found[452] -> True[0]: dist = 5.549178
  Found[453] -> True[0]: dist = 3.207473
  Found[454] -> True[0]: dist = 5.070712
  Found[455] -> True[0]: dist = 4.234510
  Found[456] -> True[0]: dist = 0.269184
  Found[457] -> True[0]: dist = 5.070712
  Found[458] -> True[0]: dist = 3.207473
  Found[459] -> True[0]: dist = 4.281069
  Found[460] -> True[0]: dist = 3.207473
  Found[461] -> True[0]: dist = 4.949409
  Found[462] -> True[0]: dist = 5.070712
  Found[463] -> True[0]: dist = 3.207473
  Found[464] -> True[0]: dist = 5.070712
  Found[465] -> True[0]: dist = 3.207473
  Found[466] -> True[0]: dist = 3.207473
  Found[467] -> True[0]: dist = 4.825874
  Found[468] -> True[0]: dist = 4.242641
  Found[469] -> True[0]: dist = 5.070712
  Found[470] -> True[0]: dist = 2.579494
  Found[471] -> True[0]: dist = 5.070712
  Found[472] -> True[0]: dist = 3.207473
  Found[473] -> True[0]: dist = 5.070712
  Found[474] -> True[0]: dist = 4.048027
  Found[475] -> True[0]: dist = 3.207473
  Found[476] -> True[0]: dist = 4.048027
  Found[477] -> True[0]: dist = 3.163725
  Found[478] -> True[0]: dist = 4.242641
  Found[479] -> True[0]: dist = 4.591825
  Found[480] -> True[0]: dist = 4.242641
  Found[481] -> True[0]: dist = 5.070712
  Found[482] -> True[0]: dist = 3.207473
  Found[483] -> True[0]: dist = 4.709449
  Found[484] -> True[0]: dist = 5.070712
  Found[485] -> True[0]: dist = 3.207473
  Found[486] -> True[0]: dist = 5.070712
  Found[487] -> True[0]: dist = 5.070712
  Found[488] -> True[0]: dist = 5.070712

----------------------------------------------------------------------
Function: twisted_t1.0_8D
Dimension: 8
Status: SUCCESS
Error: 0.3821 log units

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

FOUND PEAKS (1):
  [0]: [ 3.01173524e-08  1.99359006e-08 -2.25324855e-09  2.25324855e-09
  2.25324855e-09 -2.25324855e-09  2.25324855e-09 -2.25324855e-09]

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

----------------------------------------------------------------------
Function: skew_normal_a5.0_8D
Dimension: 8
Status: FAILED

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

FOUND PEAKS: None found

----------------------------------------------------------------------
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]: [ 2.06178037e-06 -3.75525116e-09  3.57138350e-09  8.00920981e-09
 -1.54090108e-10 -7.03276658e-09  2.38594734e-08 -1.11596700e-09]
  [1]: [ 4.99983218e+00 -7.90559259e-09  8.68182112e-09  1.62869641e-08
 -9.02271703e-09 -2.08395995e-08  2.11127778e-08  4.27986217e-09]

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: 0.3109 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: 159.8845 log units

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

FOUND PEAKS (179):
  [0]: [-0.6177, -0.8648, ..., 0.6177] (d=16)
  [1]: [-0.1893, -0.9240, ..., 0.4620] (d=16)
  [2]: [0.1372, -0.9602, ..., -0.1372] (d=16)
  [3]: [0.4496, -0.8991, ..., -0.4496] (d=16)
  [4]: [0.5873, -1.0846, ..., -0.5873] (d=16)
  [5]: [0.6676, -0.7788, ..., -0.6676] (d=16)
  [6]: [-0.4686, -0.9372, ..., 0.4686] (d=16)
  [7]: [0.4686, -0.9372, ..., -0.4686] (d=16)
  [8]: [-0.5427, -0.9044, ..., 0.5427] (d=16)
  [9]: [-0.2022, -1.0109, ..., 0.2022] (d=16)
  [10]: [0.5007, -0.8762, ..., -0.5007] (d=16)
  [11]: [-0.8163, 0.9656, ..., 0.5518] (d=16)
  [12]: [-0.3302, 1.1558, ..., 0.3302] (d=16)
  [13]: [0.3302, 1.1558, ..., -0.3302] (d=16)
  [14]: [0.4513, 1.0530, ..., -0.4513] (d=16)
  [15]: [0.7162, 0.8355, ..., -0.7162] (d=16)
  [16]: [0.2450, 1.2251, ..., -0.2450] (d=16)
  [17]: [0.7763, -0.7763, ..., -0.6654] (d=16)
  [18]: [0.9430, -0.9430, ..., -0.4041] (d=16)
  [19]: [0.9391, -0.9391, ..., -0.2683] (d=16)
  [20]: [0.9430, -0.9430, ..., 0.4041] (d=16)
  [21]: [0.9140, -0.9140, ..., 0.5223] (d=16)
  [22]: [0.8583, -0.8583, ..., 0.6131] (d=16)
  [23]: [-0.6716, -1.0462, ..., -0.6716] (d=16)
  [24]: [-0.6030, -0.8443, ..., -0.6031] (d=16)
  [25]: [-0.2543, -1.0171, ..., -0.2543] (d=16)
  [26]: [-0.2644, -0.7802, ..., -0.2644] (d=16)
  [27]: [0.2644, -0.7802, ..., 0.2644] (d=16)
  [28]: [-0.5588, -0.6549, ..., -0.5588] (d=16)
  [29]: [-0.2011, -1.0052, ..., -0.2010] (d=16)
  [30]: [0.5588, -0.6549, ..., 0.5588] (d=16)
  [31]: [0.8223, -0.5873, ..., -0.5873] (d=16)
  [32]: [0.9587, -0.4109, ..., -0.4109] (d=16)
  [33]: [0.9840, 0.1406, ..., 0.1406] (d=16)
  [34]: [0.8667, 0.4952, ..., 0.4952] (d=16)
  [35]: [0.8279, 0.5914, ..., 0.8556] (d=16)
  [36]: [0.7763, 0.6654, ..., 0.6654] (d=16)
  [37]: [0.8875, -0.4437, ..., -0.4437] (d=16)
  [38]: [0.9032, 0.5161, ..., 0.5161] (d=16)
  [39]: [1.0109, -0.2022, ..., -0.2022] (d=16)
  [40]: [-0.6916, 0.7114, ..., 1.0185] (d=16)
  [41]: [-0.6874, 0.7255, ..., 0.8106] (d=16)
  [42]: [-0.5621, 0.6452, ..., 0.8308] (d=16)
  [43]: [-0.2717, 0.6469, ..., 0.8742] (d=16)
  [44]: [0.0389, 0.2668, ..., 0.9496] (d=16)
  [45]: [-0.6765, 0.7210, ..., 0.8202] (d=16)
  [46]: [-0.5608, 0.9075, ..., 0.8288] (d=16)
  [47]: [0.4057, 0.0046, ..., 0.9208] (d=16)
  [48]: [0.7933, 0.7048, ..., -0.7039] (d=16)
  [49]: [0.7857, 0.6049, ..., -0.6031] (d=16)
  [50]: [0.8093, 0.5418, ..., -0.5390] (d=16)
  [51]: [1.1068, 0.4297, ..., -0.4254] (d=16)
  [52]: [0.7502, -0.9694, ..., 0.9874] (d=16)
  [53]: [0.7879, 0.6066, ..., -0.6047] (d=16)
  [54]: [0.9206, -0.3260, ..., 0.6157] (d=16)
  [55]: [0.8572, 0.5517, ..., -0.5485] (d=16)
  [56]: [0.9263, 0.2529, ..., -0.2459] (d=16)
  [57]: [0.8646, -0.7060, ..., 0.7224] (d=16)
  [58]: [-0.8029, 0.7303, ..., 0.7068] (d=16)
  [59]: [-0.8410, 0.4102, ..., 0.6341] (d=16)
  [60]: [-0.9834, 0.4849, ..., 0.3235] (d=16)
  [61]: [-1.0103, -0.3669, ..., -0.8127] (d=16)
  [62]: [-1.0159, 0.4285, ..., 0.2383] (d=16)
  [63]: [0.7001, -0.7867, ..., -0.7165] (d=16)
  [64]: [0.6371, -0.9593, ..., -0.6980] (d=16)
  [65]: [0.2517, -1.3271, ..., -0.1827] (d=16)
  [66]: [-0.5371, -1.4397, ..., -0.0533] (d=16)
  [67]: [-0.8152, -1.1277, ..., 0.4473] (d=16)
  [68]: [0.6715, -0.8331, ..., -0.9654] (d=16)
  [69]: [0.4734, -0.9015, ..., -0.6071] (d=16)
  [70]: [-0.6232, -1.2875, ..., 0.2616] (d=16)
  [71]: [0.4289, -1.1936, ..., -0.3001] (d=16)
  [72]: [-0.5193, 0.3121, ..., -0.7756] (d=16)
  [73]: [-0.3848, -0.0806, ..., -0.9889] (d=16)
  [74]: [0.0486, -0.4087, ..., -0.9837] (d=16)
  [75]: [-0.2719, 0.6858, ..., 0.6133] (d=16)
  [76]: [-0.5246, 0.1365, ..., 0.3509] (d=16)
  [77]: [-0.6178, -0.3321, ..., 0.0676] (d=16)
  [78]: [-0.6423, -0.5654, ..., -0.0841] (d=16)
  [79]: [-0.5826, -1.0134, ..., -0.4274] (d=16)
  [80]: [-0.4976, 0.2426, ..., 0.4122] (d=16)
  [81]: [-0.5857, -0.1508, ..., 0.1791] (d=16)
  [82]: [-0.6356, -0.8954, ..., -0.0473] (d=16)
  [83]: [-0.4353, 0.3604, ..., 0.4645] (d=16)
  [84]: [-1.4463, -0.4854, ..., 0.5628] (d=16)
  [85]: [-1.2853, 0.0526, ..., 1.0141] (d=16)
  [86]: [-1.0728, 0.2740, ..., 1.0907] (d=16)
  [87]: [-1.3758, -0.5784, ..., 0.4115] (d=16)
  [88]: [-1.4670, -0.1909, ..., 0.8909] (d=16)
  [89]: [-0.6068, -0.6937, ..., -0.6439] (d=16)
  [90]: [-0.7229, -0.9977, ..., -0.5203] (d=16)
  [91]: [-0.2546, -0.0755, ..., -0.9168] (d=16)
  [92]: [-0.1816, -0.4074, ..., -0.8173] (d=16)
  [93]: [-0.1745, 0.0495, ..., -0.9321] (d=16)
  [94]: [-0.4719, -0.4538, ..., -0.7581] (d=16)
  [95]: [-0.7534, -1.0451, ..., -0.2485] (d=16)
  [96]: [1.3594, 0.4607, ..., 0.2035] (d=16)
  [97]: [1.5237, 0.6411, ..., 0.9331] (d=16)
  [98]: [1.3730, 0.6271, ..., 1.1204] (d=16)
  [99]: [1.0237, 0.5354, ..., 1.2191] (d=16)
  [100]: [1.4622, 0.5397, ..., 0.4684] (d=16)
  [101]: [1.4335, 0.6478, ..., 1.1307] (d=16)
  [102]: [1.0452, 0.5533, ..., 1.0028] (d=16)
  [103]: [-0.6733, -0.3474, ..., -0.1693] (d=16)
  [104]: [0.4862, 0.1563, ..., 1.2047] (d=16)
  [105]: [-1.0456, -1.4373, ..., -0.8057] (d=16)
  [106]: [0.3369, -1.8810, ..., 0.5513] (d=16)
  [107]: [0.9831, 0.0642, ..., 0.2068] (d=16)
  [108]: [-0.5136, -0.1098, ..., 0.0553] (d=16)
  [109]: [-0.8538, 0.7482, ..., 1.5876] (d=16)
  [110]: [1.1032, -0.7369, ..., -1.5637] (d=16)
  [111]: [1.6987, -0.7758, ..., 0.1756] (d=16)
  [112]: [-0.5624, -0.5169, ..., 0.3472] (d=16)
  [113]: [0.5632, 0.5177, ..., -0.3477] (d=16)
  [114]: [-0.9817, 0.2017, ..., 0.3055] (d=16)
  [115]: [0.2020, 0.2666, ..., -0.2598] (d=16)
  [116]: [0.1566, 0.3122, ..., 0.5130] (d=16)
  [117]: [0.7642, 0.7642, ..., 0.7642] (d=16)
  [118]: [0.7642, -0.7642, ..., -0.7642] (d=16)
  [119]: [-0.0000, -0.0000, ..., -0.0000] (d=16)
  [120]: [-0.7642, 0.7642, ..., 0.7642] (d=16)
  [121]: [0.0000, 0.0000, ..., 0.0000] (d=16)
  [122]: [0.4891, -0.7642, ..., -0.7642] (d=16)
  [123]: [-0.0000, 0.0000, ..., -0.0000] (d=16)
  [124]: [0.0000, 0.0000, ..., 0.0000] (d=16)
  [125]: [0.0000, 0.0000, ..., 0.0000] (d=16)
  [126]: [0.5047, 0.7139, ..., -0.7561] (d=16)
  [127]: [0.7642, 0.7642, ..., 0.7642] (d=16)
  [128]: [0.7642, -0.7642, ..., -0.7642] (d=16)
  [129]: [0.0000, -0.0000, ..., 0.0000] (d=16)
  [130]: [-0.7642, -0.7642, ..., -0.7642] (d=16)
  [131]: [-0.0000, -0.0000, ..., -0.0000] (d=16)
  [132]: [-0.7642, 0.7642, ..., -0.7642] (d=16)
  [133]: [-1.9658, 0.0000, ..., 2.2662] (d=16)
  [134]: [0.0000, 0.0000, ..., 0.0000] (d=16)
  [135]: [0.0000, 0.0000, ..., 0.0000] (d=16)
  [136]: [0.0000, 0.8030, ..., 0.6577] (d=16)
  [137]: [0.0000, 0.0000, ..., 0.0000] (d=16)
  [138]: [0.2689, 0.0000, ..., 0.0000] (d=16)
  [139]: [-0.7642, -0.7642, ..., -0.7642] (d=16)
  [140]: [-0.0412, 0.8518, ..., -0.7088] (d=16)
  [141]: [0.0000, 1.2465, ..., 0.8109] (d=16)
  [142]: [0.0000, 3.0000, ..., -0.0000] (d=16)
  [143]: [-0.7642, 0.7642, ..., -0.7642] (d=16)
  [144]: [0.0000, 0.0000, ..., -3.0000] (d=16)
  [145]: [-0.7642, 0.7642, ..., -0.7642] (d=16)
  [146]: [0.0000, 0.0000, ..., 0.0000] (d=16)
  [147]: [-0.7642, -0.7642, ..., -0.7642] (d=16)
  [148]: [0.0000, 0.0000, ..., 3.0000] (d=16)
  [149]: [-0.0000, -0.0000, ..., -0.0000] (d=16)
  [150]: [-0.7642, 0.4891, ..., 0.7642] (d=16)
  [151]: [-0.7642, -0.7642, ..., 0.7642] (d=16)
  [152]: [-0.7642, 0.7642, ..., 0.7642] (d=16)
  [153]: [0.0000, 0.0000, ..., 0.0000] (d=16)
  [154]: [1.5088, 0.0000, ..., 0.0000] (d=16)
  [155]: [0.2689, 0.0000, ..., 0.0000] (d=16)
  [156]: [-0.7824, 0.0000, ..., -2.8962] (d=16)
  [157]: [0.0000, 0.0000, ..., 0.0000] (d=16)
  [158]: [0.0000, 0.0000, ..., 0.0000] (d=16)
  [159]: [-1.8240, 0.0000, ..., 0.0000] (d=16)
  [160]: [0.0000, 0.0000, ..., 0.0000] (d=16)
  [161]: [0.0000, -0.0333, ..., 0.0000] (d=16)
  [162]: [-0.7642, -0.7642, ..., 0.7642] (d=16)
  [163]: [0.2689, 0.0000, ..., 0.9973] (d=16)
  [164]: [0.0000, -0.0000, ..., 0.0000] (d=16)
  [165]: [0.2689, 1.4436, ..., 0.0000] (d=16)
  [166]: [-0.7642, -0.7642, ..., -0.7642] (d=16)
  [167]: [0.7642, 0.7642, ..., 0.7642] (d=16)
  [168]: [-0.9939, 0.7308, ..., 0.7308] (d=16)
  [169]: [-0.7642, -0.7642, ..., 0.7642] (d=16)
  [170]: [-0.0000, -0.0000, ..., -0.0000] (d=16)
  [171]: [0.4891, -0.7642, ..., 0.7642] (d=16)
  [172]: [0.0000, -3.0000, ..., 0.0000] (d=16)
  [173]: [-0.7642, 0.7642, ..., 0.4891] (d=16)
  [174]: [2.2080, 0.0000, ..., -2.0310] (d=16)
  [175]: [0.2689, 2.9528, ..., 0.0000] (d=16)
  [176]: [0.0000, 0.4700, ..., 0.0000] (d=16)
  [177]: [0.0000, 0.0000, ..., 0.0000] (d=16)
  [178]: [0.7642, 0.7642, ..., -0.7642] (d=16)

DISTANCES (found -> nearest true):
  Found[0] -> True[0]: dist = 4.658985
  Found[1] -> True[0]: dist = 4.374472
  Found[2] -> True[0]: dist = 4.144507
  Found[3] -> True[0]: dist = 3.911850
  Found[4] -> True[0]: dist = 3.804739
  Found[5] -> True[0]: dist = 3.740941
  Found[6] -> True[0]: dist = 4.561966
  Found[7] -> True[0]: dist = 3.897238
  Found[8] -> True[0]: dist = 4.610421
  Found[9] -> True[0]: dist = 4.383275
  Found[10] -> True[0]: dist = 3.872446
  Found[11] -> True[0]: dist = 4.785144
  Found[12] -> True[0]: dist = 4.470049
  Found[13] -> True[0]: dist = 4.002326
  Found[14] -> True[0]: dist = 3.910521
  Found[15] -> True[0]: dist = 3.701742
  Found[16] -> True[0]: dist = 4.065693
  Found[17] -> True[0]: dist = 3.652698
  Found[18] -> True[0]: dist = 3.513147
  Found[19] -> True[0]: dist = 3.516474
  Found[20] -> True[0]: dist = 3.513148
  Found[21] -> True[0]: dist = 3.537764
  Found[22] -> True[0]: dist = 3.584729
  Found[23] -> True[0]: dist = 4.693562
  Found[24] -> True[0]: dist = 4.649547
  Found[25] -> True[0]: dist = 4.418780
  Found[26] -> True[0]: dist = 4.425675
  Found[27] -> True[0]: dist = 4.051345
  Found[28] -> True[0]: dist = 4.620936
  Found[29] -> True[0]: dist = 4.382500
  Found[30] -> True[0]: dist = 3.827134
  Found[31] -> True[0]: dist = 3.614756
  Found[32] -> True[0]: dist = 3.499669
  Found[33] -> True[0]: dist = 3.477914
  Found[34] -> True[0]: dist = 3.577698
  Found[35] -> True[0]: dist = 3.610028
  Found[36] -> True[0]: dist = 3.652698
  Found[37] -> True[0]: dist = 3.560227
  Found[38] -> True[0]: dist = 3.546912
  Found[39] -> True[0]: dist = 3.454643
  Found[40] -> True[0]: dist = 4.706356
  Found[41] -> True[0]: dist = 4.703678
  Found[42] -> True[0]: dist = 4.623070
  Found[43] -> True[0]: dist = 4.430620
  Found[44] -> True[0]: dist = 4.215026
  Found[45] -> True[0]: dist = 4.696721
  Found[46] -> True[0]: dist = 4.622193
  Found[47] -> True[0]: dist = 3.945369
  Found[48] -> True[0]: dist = 3.638727
  Found[49] -> True[0]: dist = 3.644929
  Found[50] -> True[0]: dist = 3.625480
  Found[51] -> True[0]: dist = 3.370303
  Found[52] -> True[0]: dist = 3.674085
  Found[53] -> True[0]: dist = 3.643120
  Found[54] -> True[0]: dist = 3.532193
  Found[55] -> True[0]: dist = 3.585599
  Found[56] -> True[0]: dist = 3.527311
  Found[57] -> True[0]: dist = 3.579427
  Found[58] -> True[0]: dist = 4.776726
  Found[59] -> True[0]: dist = 4.800619
  Found[60] -> True[0]: dist = 4.888774
  Found[61] -> True[0]: dist = 4.905311
  Found[62] -> True[0]: dist = 4.908713
  Found[63] -> True[0]: dist = 3.714792
  Found[64] -> True[0]: dist = 3.765325
  Found[65] -> True[0]: dist = 4.060735
  Found[66] -> True[0]: dist = 4.606774
  Found[67] -> True[0]: dist = 4.784473
  Found[68] -> True[0]: dist = 3.737788
  Found[69] -> True[0]: dist = 3.893552
  Found[70] -> True[0]: dist = 4.662504
  Found[71] -> True[0]: dist = 3.927658
  Found[72] -> True[0]: dist = 4.595161
  Found[73] -> True[0]: dist = 4.506530
  Found[74] -> True[0]: dist = 4.208131
  Found[75] -> True[0]: dist = 4.430716
  Found[76] -> True[0]: dist = 4.598653
  Found[77] -> True[0]: dist = 4.659087
  Found[78] -> True[0]: dist = 4.674836
  Found[79] -> True[0]: dist = 4.636303
  Found[80] -> True[0]: dist = 4.580983
  Found[81] -> True[0]: dist = 4.638322
  Found[82] -> True[0]: dist = 4.670521
  Found[83] -> True[0]: dist = 4.539990
  Found[84] -> True[0]: dist = 5.165038
  Found[85] -> True[0]: dist = 5.070663
  Found[86] -> True[0]: dist = 4.943356
  Found[87] -> True[0]: dist = 5.123957
  Found[88] -> True[0]: dist = 5.177041
  Found[89] -> True[0]: dist = 4.651948
  Found[90] -> True[0]: dist = 4.726258
  Found[91] -> True[0]: dist = 4.418986
  Found[92] -> True[0]: dist = 4.369143
  Found[93] -> True[0]: dist = 4.364279
  Found[94] -> True[0]: dist = 4.564158
  Found[95] -> True[0]: dist = 4.745591
  Found[96] -> True[0]: dist = 3.137432
  Found[97] -> True[0]: dist = 2.976192
  Found[98] -> True[0]: dist = 3.124382
  Found[99] -> True[0]: dist = 3.443536
  Found[100] -> True[0]: dist = 3.037569
  Found[101] -> True[0]: dist = 3.065804
  Found[102] -> True[0]: dist = 3.424777
  Found[103] -> True[0]: dist = 4.694684
  Found[104] -> True[0]: dist = 3.883646
  Found[105] -> True[0]: dist = 4.926819
  Found[106] -> True[0]: dist = 3.997359
  Found[107] -> True[0]: dist = 3.478709
  Found[108] -> True[0]: dist = 4.591484
  Found[109] -> True[0]: dist = 4.808638
  Found[110] -> True[0]: dist = 3.373558
  Found[111] -> True[0]: dist = 2.794295
  Found[112] -> True[0]: dist = 4.623228
  Found[113] -> True[0]: dist = 3.823749
  Found[114] -> True[0]: dist = 4.887776
  Found[115] -> True[0]: dist = 4.097308
  Found[116] -> True[0]: dist = 4.130438
  Found[117] -> True[0]: dist = 3.662594
  Found[118] -> True[0]: dist = 3.662594
  Found[119] -> True[0]: dist = 4.242641
  Found[120] -> True[0]: dist = 4.752406
  Found[121] -> True[0]: dist = 4.242641
  Found[122] -> True[0]: dist = 3.881414
  Found[123] -> True[0]: dist = 4.242641
  Found[124] -> True[0]: dist = 4.242641
  Found[125] -> True[0]: dist = 4.242641
  Found[126] -> True[0]: dist = 3.869330
  Found[127] -> True[0]: dist = 3.662594
  Found[128] -> True[0]: dist = 3.662599
  Found[129] -> True[0]: dist = 4.242641
  Found[130] -> True[0]: dist = 4.752410
  Found[131] -> True[0]: dist = 4.242641
  Found[132] -> True[0]: dist = 4.752410
  Found[133] -> True[0]: dist = 5.458440
  Found[134] -> True[0]: dist = 4.242641
  Found[135] -> True[0]: dist = 4.242641
  Found[136] -> True[0]: dist = 4.242641
  Found[137] -> True[0]: dist = 4.242641
  Found[138] -> True[0]: dist = 4.048027
  Found[139] -> True[0]: dist = 4.752410
  Found[140] -> True[0]: dist = 4.271657
  Found[141] -> True[0]: dist = 4.242641
  Found[142] -> True[0]: dist = 4.242641
  Found[143] -> True[0]: dist = 4.752410
  Found[144] -> True[0]: dist = 4.242641
  Found[145] -> True[0]: dist = 4.752406
  Found[146] -> True[0]: dist = 4.242641
  Found[147] -> True[0]: dist = 4.752410
  Found[148] -> True[0]: dist = 4.242641
  Found[149] -> True[0]: dist = 4.242641
  Found[150] -> True[0]: dist = 4.752406
  Found[151] -> True[0]: dist = 4.752406
  Found[152] -> True[0]: dist = 4.752410
  Found[153] -> True[0]: dist = 4.242641
  Found[154] -> True[0]: dist = 2.991219
  Found[155] -> True[0]: dist = 4.048027
  Found[156] -> True[0]: dist = 4.763844
  Found[157] -> True[0]: dist = 4.242641
  Found[158] -> True[0]: dist = 4.242641
  Found[159] -> True[0]: dist = 5.379936
  Found[160] -> True[0]: dist = 4.242641
  Found[161] -> True[0]: dist = 4.242641
  Found[162] -> True[0]: dist = 4.752410
  Found[163] -> True[0]: dist = 4.048027
  Found[164] -> True[0]: dist = 4.242641
  Found[165] -> True[0]: dist = 4.048027
  Found[166] -> True[0]: dist = 4.752410
  Found[167] -> True[0]: dist = 3.662594
  Found[168] -> True[0]: dist = 4.895273
  Found[169] -> True[0]: dist = 4.752410
  Found[170] -> True[0]: dist = 4.242641
  Found[171] -> True[0]: dist = 3.881414
  Found[172] -> True[0]: dist = 4.242641
  Found[173] -> True[0]: dist = 4.752410
  Found[174] -> True[0]: dist = 2.179948
  Found[175] -> True[0]: dist = 4.048027
  Found[176] -> True[0]: dist = 4.242641
  Found[177] -> True[0]: dist = 4.242641
  Found[178] -> True[0]: dist = 3.662594

----------------------------------------------------------------------
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: FAILED

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

FOUND PEAKS: None found

----------------------------------------------------------------------
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: 0.0087 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: 15.4696 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: 0.3822 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: FAILED

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

FOUND PEAKS: None found

----------------------------------------------------------------------
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
Error: 0.0166 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: banana_b0.1_32D
Dimension: 32
Status: SUCCESS
Error: 0.0087 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: 4.1394 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: FAILED

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

FOUND PEAKS: None found

----------------------------------------------------------------------
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: 20.7550 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: 0.0079 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: 6.8945 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: 0.3821 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: FAILED

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

FOUND PEAKS: None found

----------------------------------------------------------------------
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: 0.0082 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: 0.3778 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: FAILED

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

FOUND PEAKS: None found

----------------------------------------------------------------------
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.         1.25663706]
  [2]: [1.25663706 0.        ]
  [3]: [0.62831853 0.62831853]
  [4]: [0. 0.]

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

