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np.mean(np.square(10*((np.array(range(1, array_x.shape[1]+1)))-6.73764817677742-7.42782862614642-np.sin(2*np.pi*5.187642542870817-array_x)+array_x)), axis=1) |
np.mean(4.356533908629556-(np.dot(array_x, np.array([[0.6500170052871808, 0.08402420349063755], [0.014050224489316476, 0.407160694395706]])))-6.6040078910504105-np.square(6.935481070744849)+np.square(array_x), axis=1)+10*(np.sin(2*np.pi*np.mean(6.705619145551458-(np.dot(array_x, np.array([[0.09931806581816904, 0.8777112761543215], [0.7762687818549535, 0.23666142914148802]])))-8.798187888956328-np.square(2.762973104426261)+np.square(array_x), axis=1))) |
np.mean(abs(np.square(np.log(abs(np.square(2.0223077759765973)))*np.exp((np.array(range(1, array_x.shape[1]+1)))*array_x)*(np.array(range(1, array_x.shape[1]+1))))), axis=1) |
np.mean(np.sqrt(abs(np.cos(2*np.pi*8.299998383595664)))/np.log(abs(np.log(abs(5.008288474902688+(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)))))+(np.dot(array_x, np.array([[0.5811410578766357, 0.3106016535702175], [0.6550993487889152, 0.8408081929751889]])))*3.646882792489089*1.3524141180572378*np.sqrt(abs(3.747344839001841)), axis=1) |
np.mean(np.square(9.885415558442903/2.2185504680273374+(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)-array_x+9.322879014198552), axis=1) |
np.mean(7.810778608016421/np.square(np.sin(2*np.pi*abs((np.array(range(1, array_x.shape[1]+1)))*array_x+9.356794568704016))), axis=1) |
np.mean(np.round(8.731062727901094)-np.log(abs(2.0303989858694713))+array_x*5.124903503331527, axis=1) |
np.round(np.square(-(np.sqrt(abs(np.cos(2*np.pi*np.sin(2*np.pi*8.819031079612149)+np.cos(2*np.pi*np.sum((np.array(range(1, array_x.shape[1]+1)))*array_x, axis=1)))))+4.249670630669874))) |
np.mean(array_x/10*((np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)+array_x)+2.0009017258336494+3.5414125807347947, axis=1)+10*(np.sin(2*np.pi*np.mean(array_x/10*((np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)+array_x)+9.110729321831569+2.2174832851535267, axis=1))) |
np.mean(array_x-6.459711748293457*9.084539604634715, axis=1)+10*(np.sin(2*np.pi*np.mean(array_x-4.1839626741653575*8.349438589598357, axis=1))) |
np.mean(array_x+8.94537380131826*4.525193315668878+array_x*np.exp(3.8952496259864264), axis=1) |
np.mean(4.3634188935325895+np.sqrt(abs(array_x))-2.7869785973846426+array_x, axis=1)+10*(np.sin(2*np.pi*np.mean(4.686671994490881+np.sqrt(abs(array_x))-7.086966895738622+array_x, axis=1))) |
np.mean(1.452020575180433*array_x*8.287683841655827-6.28364256337057, axis=1) |
np.mean(array_x+6.526141997663058+np.square(3.5407587077385076*np.exp(array_x)), axis=1) |
np.prod(np.cumsum(np.sin(2*np.pi*abs(7.100366433265252)+array_x*abs(array_x)), axis=1)-9.426366183494448, axis=1) |
np.sum(-(np.cos(2*np.pi*np.square(2.477113668939511-array_x+abs(7.136768954694883)*np.cos(2*np.pi*np.exp(np.exp(1.4904789611595022)))))), axis=1)+np.sin(2*np.pi*np.sum(-(np.cos(2*np.pi*np.square(6.632517993389964-array_x+abs(6.228309646841616)*np.cos(2*np.pi*np.exp(np.exp(5.70071058463223)))))), axis=1)) |
np.mean(np.exp(6.274525980219783-array_x+np.sin(2*np.pi*np.square(array_x)*(np.array(range(1, array_x.shape[1]+1))))+1.7156329235494674+(np.dot(array_x, np.array([[0.505542633722867, 0.8014445275185397], [0.39718577526764265, 0.4214887363679324]])))), axis=1)+10*(np.sin(2*np.pi*np.mean(np.exp(5.537329708338308-array_x+np.sin(2*np.pi*np.square(array_x)*(np.array(range(1, array_x.shape[1]+1))))+5.249072204380047+(np.dot(array_x, np.array([[0.6847698722974501, 0.2169861519545595], [0.46062203464923746, 0.4172619583771733]])))), axis=1))) |
np.mean(np.square(array_x)+1/(7.028143484808714)/1.7885161754032737-np.square(8.441601778989714+array_x), axis=1) |
np.mean(np.exp(6.635977773103564*(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)-array_x*6.55548996752269-np.sqrt(abs(np.round(3.0774252540276956)))), axis=1) |
np.mean(np.square(6.854728897715811)-10*(9.175506832757424)*np.square(array_x)*5.576949504224623-np.sqrt(abs((np.dot(array_x, np.array([[0.10281297393874633, 0.09179334571382836], [0.34581230097825333, 0.41967949133463234]]))))), axis=1) |
np.sum(np.square(np.sqrt(abs(9.96342418009295))+(np.array(range(1, array_x.shape[1]+1)))*array_x*np.cos(2*np.pi*2.396271111528169)), axis=1)+10*(np.sin(2*np.pi*np.sum(np.square(np.sqrt(abs(7.731102195276561))+(np.array(range(1, array_x.shape[1]+1)))*array_x*np.cos(2*np.pi*2.231822691799227)), axis=1))) |
np.log(abs(5.745687991727376))-np.prod(3.079930886400632-3.0461790261834993*array_x, axis=1) |
np.mean(np.sqrt(abs(array_x/9.357494111808105-9.142435336951761))*np.exp(6.80795530446452), axis=1) |
np.sum(4.480186436342239*array_x-9.84423466377349+-(np.log(abs(9.819728979562166)))*np.sqrt(abs(np.sqrt(abs(array_x)))), axis=1) |
np.mean(5.697017766377838+array_x*1.7055025091087224*7.552958505354628-array_x*abs(6.374478399802801), axis=1) |
np.mean(7.783683883675829+(np.dot(array_x, np.array([[0.5211827337694261, 0.7950463276825432], [0.42585271657372037, 0.7573757328731195]])))+8.155828041084828*10*(4.371125484423226)/np.sqrt(abs(10*(np.square(np.cos(2*np.pi*1.7499587937605936))+np.exp(array_x)*6.679965786461113))), axis=1) |
np.round(np.mean(np.exp(3.500227377626747*array_x+9.157575206999196/np.sqrt(abs(8.150293233452889+1.1674183663263902/np.square(array_x)))/np.sqrt(abs(np.sqrt(abs(2.600296249690733))))), axis=1)) |
np.mean(7.20945264443812/abs(10*(1.4826568350007139-(np.dot(array_x, np.array([[0.14712093852994446, 0.6048755241774497], [0.6966610076495894, 0.8890496497709446]]))))), axis=1) |
np.mean(np.square(np.sqrt(abs(4.5209618871800945))*9.687745910939933-array_x), axis=1) |
np.mean(5.473319040014777+array_x, axis=1)+10*(np.sin(2*np.pi*np.mean(1.3410693803080016+array_x, axis=1))) |
np.mean(3.1274715236765998/3.0172056913529044-np.exp(9.554232073928516+array_x)/abs(3.073074340257986), axis=1) |
np.mean(np.exp(np.exp(np.exp(10*((np.array(range(1, array_x.shape[1]+1))))*-(array_x))))-np.sin(2*np.pi*-((np.array(range(1, array_x.shape[1]+1)))))/5.964895721703299, axis=1) |
np.mean(np.sin(2*np.pi*5.11638578385292)-np.square(3.3805121345232148-array_x-array_x/2.6297896784120343/3.26196954000546), axis=1)+np.sin(2*np.pi*np.mean(np.sin(2*np.pi*4.444831446608478)-np.square(4.074870049927286-array_x-array_x/1.4171073469809334/2.4971286363419485), axis=1)) |
np.sum(np.square(7.536028676946323)*array_x, axis=1)+np.square(7.127170228614102) |
np.mean(9.905856265115073-1.9285858095224073*(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)*np.square(8.470235854651584)-array_x, axis=1)+10*(np.sin(2*np.pi*np.mean(5.761201350621761-1.0675772217467006*(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)*np.square(2.8836146219938406)-array_x, axis=1))) |
np.mean(np.log(abs(np.sin(2*np.pi*np.cumsum(abs((np.array(range(1, array_x.shape[1]+1)))*array_x), axis=1)/9.3553822654899+(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)-(np.array(range(1, array_x.shape[1]+1)))*array_x)+np.sin(2*np.pi*np.sqrt(abs(np.sin(2*np.pi*np.exp((np.array(range(1, array_x.shape[1]+1)))*array_x))))))), axis=1) |
np.prod(np.square(array_x/3.385452989639413)+4.908323461325448+np.sqrt(abs(np.log(abs(2.3303862639560595/7.732409319719213-array_x)))), axis=1) |
np.sum(np.sqrt(abs(np.square(np.cos(2*np.pi*array_x)-6.25640911587066*4.402965011752448)+np.cos(2*np.pi*5.446195426471044)))/np.round(4.277336511251685)+array_x-np.round(6.613447130799721), axis=1)+10*(np.sin(2*np.pi*np.sum(np.sqrt(abs(np.square(np.cos(2*np.pi*array_x)-8.457061042296864*1.37300515179414)+np.cos(2*np.pi*2.4932247106477243)))/np.round(7.182933980453283)+array_x-np.round(7.276631561484525), axis=1))) |
np.prod(array_x, axis=1)*3.591967710374257-np.sqrt(abs(array_x[:,0]+array_x[:,0]-2.739353050132099+np.log(abs(3.0117259566493964))-np.exp(9.65471310127193)*np.prod((np.dot(array_x, np.array([[0.9099221620277473, 0.39211867894919206], [0.8369432757525077, 0.25923419849621143]]))), axis=1))) |
10*(np.sin(2*np.pi*np.sqrt(abs(np.sum(np.sqrt(abs(array_x)), axis=1)+np.cos(2*np.pi*np.sin(2*np.pi*2.8510529200396353)))))) |
np.mean(np.square(array_x-7.395001130726272+abs(np.exp(5.272574513868475))/6.442291508897602), axis=1) |
1/(np.cos(2*np.pi*np.square(np.amax(np.log(abs(3.5081370368770717+(np.dot(array_x, np.array([[0.1433554948646879, 0.8082185831861607], [0.16772388010292527, 0.7855349232307641]]))))), axis=1)))) |
np.mean(1/(1/(5.5272025506421)+np.round(array_x)*np.sqrt(abs(np.exp(np.sin(2*np.pi*2.0637121991436196))))), axis=1) |
np.mean(np.exp(2.4290485305030964)-10*(array_x-6.781969692471749)/np.sqrt(abs(1.094999759102512-array_x)), axis=1)+10*(np.sin(2*np.pi*np.mean(np.exp(2.5917399140532225)-10*(array_x-7.307454563934324)/np.sqrt(abs(5.013899322160196-array_x)), axis=1))) |
np.round(np.exp(np.sum(4.520033836426452*np.log(abs((np.array(range(1, array_x.shape[1]+1)))*array_x+1.767714364958489)), axis=1))) |
np.mean(3.552336182921261-(np.array(range(1, array_x.shape[1]+1)))+5.504706976735787*np.cumsum(np.exp(array_x), axis=1), axis=1) |
np.mean(np.exp(abs(2.106878750563663)+np.sqrt(abs(array_x))), axis=1) |
np.sum((np.array(range(1, array_x.shape[1]+1)))*array_x*(np.array(range(1, array_x.shape[1]+1)))*array_x, axis=1)-np.mean((np.array(range(1, array_x.shape[1]+1)))*array_x/8.144515972909346-2.424030248278755, axis=1) |
np.mean(np.exp(array_x*5.020884914221215/2.636511434824129)+6.277562107538516, axis=1)+10*(np.sin(2*np.pi*np.mean(np.exp(array_x*9.630754847997709/5.917658163070605)+2.1579803288386765, axis=1))) |
np.sum(6.1136479560230175/(np.array(range(1, array_x.shape[1]+1)))*array_x+(np.array(range(1, array_x.shape[1]+1)))*array_x/np.cos(2*np.pi*3.8594054628043155)*5.297833044978611-5.515422441797048/(np.array(range(1, array_x.shape[1]+1)))*array_x-6.9426115332854295-np.cos(2*np.pi*(np.array(range(1, array_x.shape[1]+1)))*array_x/5.438979269002498), axis=1) |
np.mean(10*(9.32383976887077)-abs(1.8408594950395556-array_x)*5.708533381061124, axis=1) |
np.round(np.mean(np.square(array_x+6.765323250799369+array_x*8.736076403308616), axis=1)) |
np.mean(-(10*(9.755284674254323-abs(array_x)-array_x)), axis=1) |
np.mean(7.725967837864287/5.039810639742468-array_x*7.901534396558024-(np.dot(array_x, np.array([[0.8163048438261197, 0.7073057217165878], [0.3712304763458456, 0.06659860776588544]])))-array_x+1.733554819438194-array_x*2.856133401650472, axis=1) |
np.mean(8.184376266522984+3.5849893924596574-array_x*np.exp(6.583960113066452-array_x)*np.log(abs(7.830806371850597)), axis=1) |
np.sum(np.cos(2*np.pi*np.square(np.square(array_x))), axis=1)-np.exp(5.733626985011898-array_x[:,0]) |
np.mean(np.square(7.901110950526635+np.cos(2*np.pi*array_x)), axis=1) |
np.mean(np.square(3.323084201750545+array_x-array_x*(np.array(range(1, array_x.shape[1]+1)))/7.15594190841063), axis=1) |
np.round(np.mean(10*(np.sqrt(abs(np.round(8.409138358692132/np.sqrt(abs((np.array(range(1, array_x.shape[1]+1))))))))*np.log(abs(9.238521366864855+np.sin(2*np.pi*array_x)))+np.sqrt(abs(np.sin(2*np.pi*1.7241576914624877)))), axis=1)) |
np.mean(np.cumsum(np.round(array_x+5.082805743782295), axis=1)*4.361042205873418, axis=1)+10*(np.sin(2*np.pi*np.mean(np.cumsum(np.round(array_x+7.649422551694638), axis=1)*3.936466193566021, axis=1))) |
np.sum(np.sin(2*np.pi*np.sin(2*np.pi*np.log(abs(6.6699470452446175))))+10*(array_x), axis=1) |
-(np.sum(np.square(1/(np.cumsum(np.square(8.45932406195956)*array_x-7.427163699915424, axis=1))), axis=1)) |
np.mean(2.646982525490629*array_x-2.180085675645347-1/(np.sqrt(abs(np.log(abs(4.160751532301848)))))+np.sin(2*np.pi*5.178632385131909)-np.sin(2*np.pi*2.953623781699846*array_x)*3.420591830227727, axis=1) |
np.mean(-(array_x)-5.245251404287853*array_x+5.8389090867090925, axis=1)+np.sin(2*np.pi*np.mean(-(array_x)-9.820151575989577*array_x+7.802258855046308, axis=1)) |
np.mean(5.062983231136897-array_x*9.720440081189057*8.469075814289969, axis=1) |
np.mean(np.exp(8.764635571609983-array_x*np.sqrt(abs(array_x)))-np.sqrt(abs(10*(3.745371493385336*2.0499134166650914+array_x)+7.114533228032235)), axis=1) |
np.mean(np.round(np.square(np.sqrt(abs(array_x))+8.321861310563477-array_x+3.156423651561206+9.57143246064477+array_x)), axis=1) |
np.mean(np.sin(2*np.pi*3.9968058703831257)-7.687854639945736*(np.array(range(1, array_x.shape[1]+1)))*array_x-5.695053094064493, axis=1) |
np.mean(array_x-8.015608479449671-(np.array(range(1, array_x.shape[1]+1)))*2.5128903603839037*1.3161806459488514*array_x-array_x+4.374155488641296, axis=1) |
np.mean(np.exp(3.2653596086514094+1.8594813066595457*array_x), axis=1)+10*(np.sin(2*np.pi*np.mean(np.exp(9.19972552224785+9.469626828881994*array_x), axis=1))) |
np.round(np.mean(2.4293018412681042/np.cos(2*np.pi*array_x/1.8518947095759486-1.8876539167030986), axis=1)) |
np.mean(np.log(abs((np.dot(array_x, np.array([[0.406076075182079, 0.32121603189895975], [0.46651685360557227, 0.898463557470282]])))+6.10933650902064*3.401281647246679+(np.array(range(1, array_x.shape[1]+1)))*array_x))-np.square(np.round((np.array(range(1, array_x.shape[1]+1)))*array_x+1.7057920180348876))+3.7593761954998106, axis=1) |
np.mean(np.log(abs(7.287434532700156))*np.sqrt(abs(1/(np.round(4.372190883639474/array_x)+2.8431176696474565)))+10*(array_x)-(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)+9.703878987024334, axis=1) |
np.mean(7.7433279176612055*np.exp(8.710849209806376+array_x)*np.exp(np.sin(2*np.pi*np.square(1.3947244642362806)+array_x))-(np.dot(array_x, np.array([[0.3217643632772025, 0.4845540940339522], [0.45793531565841206, 0.46503894878064767]])))-np.sqrt(abs(6.993312585765733)), axis=1)+np.sin(2*np.pi*np.mean(1.7810104326573046*np.exp(7.439541269288305+array_x)*np.exp(np.sin(2*np.pi*np.square(3.126006490249372)+array_x))-(np.dot(array_x, np.array([[0.23350987332244322, 0.18985416281832468], [0.1961022295074104, 0.4232808424392631]])))-np.sqrt(abs(8.641483578289495)), axis=1)) |
np.round(np.exp(np.sum(np.cos(2*np.pi*np.cos(2*np.pi*array_x+8.105492270696645)), axis=1)+np.round(6.818930743473132))) |
1/(np.cos(2*np.pi*np.sum(np.square(np.log(abs(array_x*array_x+7.3644305542545325))), axis=1)-5.1881689682754635))+10*(np.sin(2*np.pi*1/(np.cos(2*np.pi*np.sum(np.square(np.log(abs(array_x*array_x+2.801201586215207))), axis=1)-4.17337844025244)))) |
np.prod(6.758434807834645-array_x*abs(array_x-1.958283161673478+array_x), axis=1) |
np.mean(10*(np.cos(2*np.pi*(np.dot(array_x, np.array([[0.07345789166814032, 0.39492258903280364], [0.3260946687194708, 0.6500597454801073]]))))*np.cumsum(np.sin(2*np.pi*7.459311289931038+np.exp((np.dot(array_x, np.array([[0.24718063296256132, 0.9484773667777816], [0.8645538762408572, 0.5062123271961496]]))))), axis=1)), axis=1) |
np.mean(np.square(6.949950078035856*abs(array_x)-2.159003687125041+np.square(5.309244014084691)), axis=1) |
np.mean(array_x-array_x-(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)*3.09942077383873+9.905539379779594-np.sin(2*np.pi*np.square(array_x))*np.round(9.467614784155977)-np.round(array_x)-array_x, axis=1)+10*(np.sin(2*np.pi*np.mean(array_x-array_x-(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)*7.763347925252725+3.3356691375094587-np.sin(2*np.pi*np.square(array_x))*np.round(2.354389695053523)-np.round(array_x)-array_x, axis=1))) |
np.mean(np.exp(4.657197623166551-array_x*4.703511172535596*np.cos(2*np.pi*array_x+5.056301234712475)), axis=1) |
np.mean(np.square(5.114839349014058-np.round(array_x)/1.2465654768982506), axis=1) |
np.square(4.150879223628562+np.mean(array_x-(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T), axis=1)) |
np.prod(np.sqrt(abs(-(array_x)))-8.671656265020534+(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)/5.6222297068196925, axis=1) |
np.mean(8.758695162397615-np.log(abs(7.262906139514548-array_x))+5.5202789385128614, axis=1)+10*(np.sin(2*np.pi*np.mean(4.400190598317955-np.log(abs(2.0375762432907383-array_x))+5.287403668917032, axis=1))) |
np.mean(10*(array_x-8.86800384566481)+array_x-np.cos(2*np.pi*9.666151983388287)-7.975464480229681/np.log(abs(np.sqrt(abs((np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)))*np.square(4.12799665761205)+array_x)), axis=1) |
np.mean(1/(abs(np.sqrt(abs(array_x))+8.295231493780413-(np.array(range(1, array_x.shape[1]+1)))+8.636162075193168*(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)+4.385924765517178-6.744004208703269)), axis=1)+10*(np.sin(2*np.pi*np.mean(1/(abs(np.sqrt(abs(array_x))+4.51442409821014-(np.array(range(1, array_x.shape[1]+1)))+9.632375885230216*(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)+4.167958124430539-5.8944598277896105)), axis=1))) |
np.mean(np.sqrt(abs(6.634688517474327))-np.sqrt(abs(3.5786370295502294))+array_x*5.51527328012301, axis=1)+np.sin(2*np.pi*np.mean(np.sqrt(abs(7.545903673967091))-np.sqrt(abs(9.21307053715126))+array_x*1.6805865487435487, axis=1)) |
np.mean(10*(np.exp(7.1941729522336155)+np.round(8.325333946583221+(np.array(range(1, array_x.shape[1]+1)))*array_x))+np.square((np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)*2.2531247867673536)+9.709870098749736, axis=1) |
10*(abs(1/(np.sum(np.sqrt(abs((np.dot(array_x, np.array([[0.1302060555697675, 0.7687986176388596], [0.8724019271916019, 0.7364604696033386]])))+5.490714899820781)), axis=1)))+np.cos(2*np.pi*7.164314164111853)-np.mean((np.array(range(1, array_x.shape[1]+1)))*array_x, axis=1)) |
10*(7.441840547164231-np.amax(1.9241107680672478/np.cos(2*np.pi*(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)-array_x), axis=1)+2.032949927363123) |
np.prod(abs(array_x-9.77746935884583), axis=1)+np.sin(2*np.pi*np.prod(abs(array_x-6.890574865819911), axis=1)) |
np.mean((np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)-8.963583677046522*9.638316412523691--(array_x)*2.024509292311861/np.square(np.log(abs(8.628281665887489))+np.log(abs(array_x))), axis=1)+10*(np.sin(2*np.pi*np.mean((np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)-8.1683210850369*3.9770554996293117--(array_x)*3.5692644250526566/np.square(np.log(abs(8.999578437806653))+np.log(abs(array_x))), axis=1))) |
np.sum(abs(np.sin(2*np.pi*np.square(9.435158837097903*4.23702040509329+array_x)))*2.2995287509439857, axis=1) |
np.mean(np.square(array_x*9.856012271073055+3.5954417140940187*abs(2.4145992248449657)-array_x), axis=1) |
np.log(abs(5.150216069160746))+np.prod(np.sqrt(abs(np.sin(2*np.pi*(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T))*array_x+abs(9.2682927456524)/np.round(3.0054240624994675)*9.679714006518488*array_x-array_x-8.316310989872886)), axis=1)+10*(np.sin(2*np.pi*np.log(abs(5.567591422070759))+np.prod(np.sqrt(abs(np.sin(2*np.pi*(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T))*array_x+abs(5.455738270531508)/np.round(5.147039017030921)*1.0131996044719702*array_x-array_x-4.536045276122762)), axis=1))) |
np.mean(np.square(np.round(3.903950651160903+array_x*9.00074711291984)-7.839814535244043)/1.6146649405893656, axis=1) |
np.mean(np.sqrt(abs(np.exp(6.113290908169507-(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)/4.552762151227537-array_x)-4.469730986922421)), axis=1) |
np.mean(np.round(array_x*np.round(8.364649321958634))+np.cumsum(6.228866816659679-array_x+7.370845569418172-(np.array(range(1, array_x.shape[1]+1))), axis=1), axis=1)+np.sin(2*np.pi*np.mean(np.round(array_x*np.round(4.018052569681553))+np.cumsum(4.362075053079733-array_x+2.028615018589118-(np.array(range(1, array_x.shape[1]+1))), axis=1), axis=1)) |
np.mean(np.square(10*(np.round(4.284496411954634)/8.101811914182475+array_x-(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)-5.786449219361362)), axis=1) |