#!/usr/bin/python3
# import numpy as np

import numpy as np

def getWeights():
    arr = [np.array([[-0.06407804, -0.07884349,  0.00956099, -0.21626501, -0.01075477,
    0.21383737,  0.07711418,  0.16997789],
    [-0.06179927, -0.08914955,  0.08072356, -0.06508656, -0.01248774,
    0.16290735,  0.03741108,  0.12805876],
    [-0.89473826,  0.53830796, -0.25319445, -0.19648497, -2.4377484 ,
    0.916801  , -0.46429503, -1.0824044 ],
    [-3.5242891 , -0.48591098,  0.96419954,  0.77881175,  0.71329623,
    0.00865639, -3.323312  ,  0.14445505]], dtype=np.float32),
    np.array([ 0.07736943, -0.05445341, -0.03332321, -0.08276157,
    0.06977537, 0.04422938, -0.04833093, -0.18779308], dtype=np.float32),
    np.array([[-0.59868413, -0.44481835, -0.18415509, -0.19824918, -0.20608608,
    0.34769407, -2.2082744 , -0.09973069],
    [ 0.07201806,  0.14966238,  0.37763757,  0.02420542,  0.12568802,
    -0.02764693,  0.10016007,  0.17976598],
    [-0.3038925 , -0.09263409, -0.4879569 ,  0.0685117 ,  0.10173658,
    -0.17082651, -0.19699633, -0.458388  ],
    [ 0.11113676, -1.0138001 ,  0.27679208, -0.25263762,  0.06917188,
    -0.42604515,  0.10810214,  0.2104194 ],
    [ 0.00890153, -0.42608193, -0.09927376, -0.26866645, -0.05137556,
    -0.46350625, -0.65313935, -0.4276388 ],
    [-0.25984183,  0.02953338, -0.05050093, -0.12539397,  0.1804169 ,
    0.05802999, -0.05065728, -0.2113352 ],
    [-0.7840679 , -0.04178363,  0.10338156, -2.5200388 ,  0.08356426,
    -0.40448245, -0.13497646, -0.20674999],
    [ 0.21147652,  0.17572166,  0.16751698, -0.06478957, -0.30552384,
    0.30466267,  0.3415583 ,  0.32864007],
    [-0.22613321, -0.19913779, -0.0899385 ,  0.30288845,  0.1305017 ,
    0.04312016, -2.190678  , -0.20880325],
    [ 0.1000222 ,  0.17635034,  0.42657956,  0.41456014,  0.06910895,
    0.22979978,  0.16924803, -0.02563003],
    [-0.00423099, -0.09597459, -0.49952   , -0.13990477, -0.11891547,
    0.16092381, -0.23229863, -0.06736855],
    [ 0.2873051 , -1.0444629 ,  0.16794898,  0.25041947,  0.18515031,
    -0.0222683 ,  0.3780619 ,  0.48788837],
    [-0.6072056 , -0.19847003, -0.04973965, -0.6658913 , -0.20327425,
    -0.8174168 , -0.03335344, -0.75748014],
    [-0.20093647,  0.11817803,  0.02694173,  0.04923057, -0.27442718,
    0.30018032, -0.4485643 , -0.28369936],
    [-0.5956259 ,  0.26374382,  0.2623892 , -2.2811766 , -0.30357063,
    -0.28933677, -0.06700326,  0.3008672 ],
    [ 0.32556325, -0.15631258,  0.00514548,  0.27790052,  0.30549708,
    -0.24961273,  0.07800975,  0.29368293],
    [-0.63744605, -0.06206286, -0.60265756,  0.35717142,  0.11294952,
    0.20128824, -2.1064463 , -0.3535015 ],
    [ 0.18320808,  0.29210487,  0.22038245, -0.17521633, -0.30858564,
      0.22246777, -0.06640788, -0.09972857],
    [ 0.13848032, -0.06201918, -0.58919805, -0.01726598,  0.09370838,
    -0.32263765, -0.13780081, -0.01229677],
    [ 0.26258132, -0.61510915,  0.21540615,  0.01610513,  0.01095415,
    -0.19099583,  0.0296345 ,  0.03978755],
    [-0.00485031, -0.76128435, -0.09280831, -0.71800625,  0.1454568 ,
    -0.70365804, -0.54079014, -0.6756243 ],
    [-0.16712634, -0.07352235,  0.10642201,  0.29887766, -0.15065506,
      0.14126429, -0.4676577 , -0.22552066],
    [-0.677807  , -0.00396183, -0.28706658, -2.1105597 ,  0.17808369,
    -0.18932076,  0.17273276, -0.04641337],
    [ 0.10295494,  0.04748227,  0.48223   ,  0.26485938, -0.17242715,
    -0.01246687,  0.10887309,  0.13188238],
    [-0.7816935 , -0.1488776 , -0.2472918 ,  0.32321182,  0.26238304,
      0.4407356 , -2.0943046 , -0.28969222],
    [ 0.5879776 ,  0.2659344 ,  0.26887572, -0.10528599, -0.10151562,
    -0.06200889, -0.25017995, -0.11795548],
    [ 0.09588467, -0.2590418 , -0.5734625 ,  0.38886866,  0.07680258,
      0.20786384, -0.282513  ,  0.00706037],
    [ 0.19770508, -0.85675555,  0.07276082, -0.1903152 , -0.20158224,
      0.00876304,  0.10548637,  0.09995469],
    [-0.13039929, -0.76277995,  0.10120926, -0.63119674, -0.40530565,
    -0.45619968, -0.67273825, -0.9708561 ],
    [-0.20345786, -0.28533033,  0.20337127,  0.3554105 , -0.06522847,
      0.1861163 , -0.12677322, -0.47671705],
    [-1.1458865 ,  0.30985376,  0.305106  , -2.317265  , -0.30003598,
    -0.5403273 , -0.31105268, -0.06521182],
    [ 0.4578769 , -0.05113497,  0.4946017 , -0.07867522,  0.06020356,
      0.16278556,  0.15248169,  0.20809586],
    [-0.86861056, -0.43284354, -0.03065424,  0.2619783 , -0.03262846,
      0.17720507, -1.7199538 , -0.5539021 ],
    [ 0.40381178,  0.13195953,  0.00261572,  0.2485809 , -0.15620159,
    -0.06025232, -0.17958407,  0.14566538],
    [-0.00693041, -0.12004662, -0.49732143,  0.15587701,  0.01227358,
      0.1512818 ,  0.0538843 , -0.30875564],
    [ 0.01979482, -0.906234  , -0.01496727,  0.15966703, -0.3069434 ,
      0.08154605, -0.04230358, -0.03687   ],
    [-0.34532568, -0.66616476,  0.3918459 , -0.5953149 , -0.16690224,
    -0.40944877, -0.11519072, -0.8813348 ],
    [ 0.25683987, -0.15344548,  0.18372725,  0.02250142, -0.36878568,
    0.25108543, -0.3164477 , -0.58950233],
    [-0.8021271 ,  0.19923782,  0.23039253, -2.399476  ,  0.24830976,
    -0.1537488 ,  0.02210124, -0.1763221 ],
    [ 0.6255889 ,  0.39011213,  0.57903165,  0.4763893 ,  0.10659221,
    -0.00904244,  0.3108362 ,  0.21079867],
    [-0.7298123 , -0.10092824, -0.2131444 ,  0.33919168, -0.33838344,
    0.35191217, -1.7258697 , -0.3576242 ],
    [ 0.14413889,  0.29769206,  0.51256007, -0.03478652,  0.08891462,
    0.35592595,  0.20088974,  0.19094205],
    [ 0.25401   , -0.28073817, -0.36500415, -0.020096  ,  0.02760684,
    0.18874004, -0.00444112, -0.06727066],
    [ 0.35809815, -0.61689013,  0.24781734,  0.14322802, -0.06472611,
    -0.49406245,  0.18024167,  0.26919264],
    [-0.2522735 , -0.47304115, -0.04783777, -0.2956709 , -0.13245517,
    -0.54097843, -0.64491165, -0.8720841 ],
    [ 0.12398586,  0.04071081, -0.183321  , -0.09515989, -0.13422957,
    0.18537083, -0.276843  , -0.46779147],
    [-0.57007796,  0.318699  ,  0.27120352, -2.114595  , -0.2278392 ,
    -0.3014673 , -0.36511648,  0.01439504],
    [-0.01991669,  0.31171557,  0.07710712,  0.27799517, -0.24220647,
    0.21805379, -0.04348316,  0.16949372]], dtype=np.float32),
    np.array([ 0.60129285,  0.13258433,  0.05961297,  0.08487568, -0.09112971,
    0.01292089,  0.34978956,  0.44618648], dtype=np.float32),
    np.array([[ 0.09039981,  0.59831476],
    [ 0.553312  , -0.6111854 ],
    [-0.38198262, -0.0278831 ],
    [-0.27384686, -1.2601143 ],
    [ 0.60371447, -0.34460044],
    [ 0.2794425 ,  0.61333966],
    [-1.6129715 , -0.83530825],
    [ 1.4144366 ,  0.2668518 ]], dtype=np.float32),
    np.array([-0.03191037, -0.13685739], dtype=np.float32)]
    return arr
