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np.mean(np.exp(np.exp(array_x-(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)+(np.dot(array_x, np.array([[0.6767315329538037, 0.5654301750406749], [0.5159001567451884, 0.7664446803074491]])))))+5.153531129920892*np.log(abs(2.204775547155334))/3.8792901907528106, axis=1) |
np.sum(np.square(np.square(np.round(10*(5.812389580780499)))-array_x), axis=1)+np.sin(2*np.pi*np.sum(np.square(np.square(np.round(10*(7.292555805257272)))-array_x), axis=1)) |
np.sin(2*np.pi*np.mean(np.sin(2*np.pi*np.sin(2*np.pi*5.454632063329726)-(np.dot(array_x, np.array([[0.5851084103040222, 0.9708549546264069], [0.4897138782957685, 0.79030196300366]])))+8.111933870040476*(np.dot(array_x, np.array([[0.23141096112489012, 0.10196113461016121], [0.18132699208515557, 0.34230411687207163]])))), axis=1))-5.152312251222486*np.sum(np.cos(2*np.pi*np.sqrt(abs(-((np.array(range(1, array_x.shape[1]+1)))*array_x)))), axis=1) |
np.mean(-(array_x-5.61579872799437/2.8153532547819373), axis=1)+10*(np.sin(2*np.pi*np.mean(-(array_x-2.368823130771265/9.490401369928106), axis=1))) |
np.mean(array_x, axis=1)*9.789319593770974-4.342126558775666 |
np.round(np.mean(np.exp(8.652050734938873-np.sin(2*np.pi*array_x-5.285071794539725)-array_x), axis=1)) |
np.mean(np.square(np.log(abs(9.997890547931991-array_x))*5.0729275467069606-10*(2.519154486073295)-np.square(np.square(2.0751823239882254))), axis=1) |
np.mean((np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)+np.square(3.9778780848741504)*(np.dot(array_x, np.array([[0.11849051639673536, 0.6975736148832332], [0.9932622147438094, 0.3919146822192434]])))/10*(6.975192137030401)*2.1735438421011564+2.1353926917231614-array_x*np.sqrt(abs(array_x))*2.0028540507748147, axis=1) |
np.square(np.mean(np.exp(1.4019466027142826)+array_x/np.square(7.282980141424517), axis=1))+10*(np.sin(2*np.pi*np.square(np.mean(np.exp(3.7328920710377473)+array_x/np.square(7.3149410495165155), axis=1)))) |
np.mean(np.square(np.log(abs(7.416010018682583*4.9060425717824-array_x)))+10*(np.log(abs(10*(np.exp(9.2735924943242-array_x))))), axis=1) |
np.mean((np.dot(array_x, np.array([[0.2716390141047752, 0.5077763447855582], [0.2503933499023442, 0.29264526451191597]])))*1.2600584909596244+8.061015421105681*(np.dot(array_x, np.array([[0.42516303846131565, 0.6109114614023318], [0.842562922040296, 0.27865464446321675]])))-4.260201153867136, axis=1) |
10*(np.sum(array_x*4.932301246439012, axis=1)-9.231097529639875)+np.log(abs(np.sqrt(abs(8.111054232639276)))) |
np.mean(4.912934871308399*np.sin(2*np.pi*array_x)-array_x*4.519823467507107+1.3100122177091378-4.635125404472873, axis=1) |
np.mean(np.cumsum(np.log(abs((np.dot(array_x, np.array([[0.09930771544245864, 0.8124265934068042], [0.8486043195889105, 0.3013500835540618]])))-8.271408866759588))+9.204225886723908, axis=1)+3.814592743065199/np.cos(2*np.pi*(np.dot(array_x, np.array([[0.6827649166038371, 0.12023668822261724], [0.3870808755549934, 0.22151697416532445]])))*7.212585376890588), axis=1) |
np.mean(np.exp(2.4727755596600676)+10*(array_x-(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T))+array_x-(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)-1.0594439134352036+np.sin(2*np.pi*np.square(7.669648215466129)), axis=1) |
np.mean(np.sin(2*np.pi*np.sqrt(abs(np.round(np.square(9.380866692453335-array_x)*9.745629831611485-array_x)))), axis=1)+10*(np.sin(2*np.pi*np.mean(np.sin(2*np.pi*np.sqrt(abs(np.round(np.square(8.924940269537519-array_x)*1.8782026519535786-array_x)))), axis=1))) |
np.amax(np.sqrt(abs(np.exp(7.340202272058059)))*array_x+2.349195080759335, axis=1)-1.3150311386865885+np.sin(2*np.pi*np.amax(np.sqrt(abs(np.exp(5.847278468653215)))*array_x+1.5958554931929492, axis=1)-8.8824582743616) |
np.mean(np.exp(-((np.dot(array_x, np.array([[0.39973933517692817, 0.15672587178064512], [0.1594877821397198, 0.1782747419358578]])))/np.square(7.437739219811378))-(np.dot(array_x, np.array([[0.5515196778665552, 0.4524197456707688], [0.6220613543236235, 0.9809875340482522]])))+4.716371468466941)+(np.dot(array_x, np.array([[0.6069809763178842, 0.2252656311392648], [0.26540702205610855, 0.1974327919913096]])))-4.938883661850967-np.cos(2*np.pi*6.6352586603506944)*(np.dot(array_x, np.array([[0.7768312448004555, 0.4967997938457046], [0.11359702115882353, 0.8737175401284994]])))+(np.dot(array_x, np.array([[0.395697321007739, 0.6096101623657805], [0.9746171359127349, 0.5836017861484225]]))), axis=1) |
np.round(np.mean(np.log(abs(4.151850507174231-array_x))+np.square(-(9.489820506363849*array_x)), axis=1)) |
np.mean(np.square(3.3363614336991896)+2.1355645231550726+array_x*6.428671227721008, axis=1)+10*(np.sin(2*np.pi*np.mean(np.square(6.960991811533137)+4.514731748571672+array_x*2.3319060809919003, axis=1))) |
np.mean(np.sqrt(abs(np.sqrt(abs(2.0870348502011478))-(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)))+6.231765255401438*array_x, axis=1) |
-(np.mean(np.exp(np.sqrt(abs(np.sqrt(abs(10*(array_x)*np.square(4.29836306333854)))-np.round(np.square(array_x)-7.190668469748223)))), axis=1)) |
np.mean(np.square(array_x)*6.432825342387015/10*(7.661880339601906)-array_x*1.1317911860074104-(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)+np.square(5.196047611849472)+np.square(np.exp(4.494033951291682)-abs(array_x)), axis=1) |
np.mean(np.exp(9.029564360895183*array_x), axis=1) |
np.mean(6.436581647402528*np.exp(np.cos(2*np.pi*array_x-(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)-array_x-(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T))), axis=1) |
np.amax(array_x-np.sqrt(abs(3.1285402580957635))*np.square(7.237957775463186+array_x), axis=1) |
np.mean(np.exp(7.67784326477817*array_x-4.130565506506984), axis=1) |
np.mean(abs(np.exp(-(3.1604902247227864+array_x-(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T))))+np.cos(2*np.pi*np.square(np.cos(2*np.pi*2.016951704990903)))+array_x-(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)-array_x-(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)*6.583600488237337, axis=1) |
np.amax(1/(8.868376827762226)+array_x/8.822846925943988+6.625769448556576, axis=1)+10*(np.sin(2*np.pi*np.amax(1/(1.8934285408455853)+array_x/8.064284769280608+2.9295736252888234, axis=1))) |
np.mean(10*(np.round(np.sqrt(abs(np.exp(array_x))))*np.cos(2*np.pi*np.sin(2*np.pi*9.690552092602914))-5.222359857675262), axis=1) |
-(np.prod(1/(np.cos(2*np.pi*np.log(abs(np.log(abs(np.sin(2*np.pi*np.exp(array_x)*8.207234389253955))))))), axis=1)) |
np.mean(10*(array_x/8.694738650321717-6.370753862682769+(np.array(range(1, array_x.shape[1]+1)))*np.exp(array_x)), axis=1) |
np.mean(np.cos(2*np.pi*np.cos(2*np.pi*1.77328137704762*array_x-2.0314386182473534))*9.490829918763332, axis=1)+np.sin(2*np.pi*np.mean(np.cos(2*np.pi*np.cos(2*np.pi*9.677341481541694*array_x-1.070711078832638))*4.100600766805621, axis=1)) |
np.square(np.sum(array_x-(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T), axis=1)-7.591538829103839+np.exp(7.009969399013791)) |
np.mean(5.872387203532546+(np.dot(array_x, np.array([[0.30978290462320734, 0.44089483336211943], [0.1860410324814542, 0.17544510543550695]])))+np.sin(2*np.pi*9.386463701381423-(np.array(range(1, array_x.shape[1]+1)))*array_x)+9.144663428519033*(np.array(range(1, array_x.shape[1]+1)))*array_x*(np.array(range(1, array_x.shape[1]+1)))*array_x-3.7734445639754135-np.square(8.880127039732171), axis=1) |
np.mean(10*(np.sqrt(abs(10*(array_x))))-2.823516054278994, axis=1) |
np.mean(np.square(9.23071796248459-array_x*np.log(abs(6.723447387472538))), axis=1) |
np.sum(np.sqrt(abs(2.2766087281482523-(np.dot(array_x, np.array([[0.8858286031353617, 0.02006494798908731], [0.4350402314360613, 0.8608886347822639]])))-7.0167683977617035)), axis=1)+np.mean(np.square(np.cos(2*np.pi*array_x)), axis=1)*8.089577567997301 |
np.mean(abs(10*(np.sin(2*np.pi*np.square(4.615449860763004))*np.square(-(array_x)))/abs(np.sin(2*np.pi*8.070307953572541)+array_x)+np.sqrt(abs((np.array(range(1, array_x.shape[1]+1)))))), axis=1) |
np.mean(np.exp(np.cumsum(array_x-2.5601365770758857, axis=1)+9.788137882023799)+np.square(np.square(array_x)-5.231303037755147), axis=1) |
np.sum(4.3743303394913085+array_x, axis=1)/np.exp(np.amax(array_x+array_x*array_x-6.898703960132518, axis=1)) |
np.mean(np.square(7.1344046183747+array_x+9.814637330298032)+np.sqrt(abs(np.exp(1.93794241560065)*array_x-array_x*(np.dot(array_x, np.array([[0.736023943688105, 0.9348728415957771], [0.27044856559348873, 0.587684065482014]])))+3.478660381215619/1.7120025721785224)), axis=1) |
np.mean(4.713426267158297*np.sqrt(abs(10*(np.log(abs((np.dot(array_x, np.array([[0.013995926625674171, 0.6330099749126077], [0.5112335612884831, 0.38077541974116325]])))+5.12660564974323-5.7689293527627905)))))/np.exp(np.square(abs(array_x))), axis=1) |
np.round(np.amax(7.375212010565069+array_x, axis=1)/np.square(1/(8.926007541640864)))+np.sin(2*np.pi*np.round(np.amax(9.328835735622977+array_x, axis=1)/np.square(1/(2.1663699028623964)))) |
np.mean(np.round(array_x-6.871909318892792)*(np.dot(array_x, np.array([[0.7169071221617058, 0.12772220623329833], [0.45007344981357433, 0.6686122145882427]])))+1.4153977725767426-3.2277350195718544*8.696171643140538, axis=1)+np.sin(2*np.pi*np.mean(np.round(array_x-2.592393968475256)*(np.dot(array_x, np.array([[0.11661347744930828, 0.9183879593617201], [0.3539048328148442, 0.8784605096609706]])))+7.184928069957588-6.347079040504469*3.4522986839575074, axis=1)) |
np.mean(np.round(array_x)+2.7486220774276977-3.954901942845663, axis=1)*4.166792802377514 |
np.mean(abs(array_x+9.00713581808783/np.log(abs(8.506320961971838*array_x+np.cos(2*np.pi*2.012110602002276)))), axis=1) |
10*(1.1078300604855027+np.mean(array_x+3.4823902030845457, axis=1)) |
np.mean(np.exp(array_x+(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)+3.6006158412627594+np.round((np.array(range(1, array_x.shape[1]+1))))/(np.array(range(1, array_x.shape[1]+1)))/np.round(9.593540687800031+array_x)), axis=1) |
np.mean(np.square(np.log(abs(8.01228765350502)))+np.sqrt(abs(np.cos(2*np.pi*np.sqrt(abs(np.cumsum(10*(np.cos(2*np.pi*array_x*8.978201520745197)+abs(np.sin(2*np.pi*1.3284889301884393))), axis=1)))))), axis=1)+10*(np.sin(2*np.pi*np.mean(np.square(np.log(abs(3.1664649887062133)))+np.sqrt(abs(np.cos(2*np.pi*np.sqrt(abs(np.cumsum(10*(np.cos(2*np.pi*array_x*1.42105312278776)+abs(np.sin(2*np.pi*9.488255477529975))), axis=1)))))), axis=1))) |
np.log(abs(np.sqrt(abs(-(np.cos(2*np.pi*np.mean(abs(array_x), axis=1))*np.mean(abs(3.134122482599873)-9.124392510194689*array_x, axis=1)))))) |
np.square(np.prod((np.dot(array_x, np.array([[0.00494296744777778, 0.28414165421668247], [0.6684720668405953, 0.6852507967876678]])))*6.469146319956238, axis=1))+np.sqrt(abs(np.round(np.square(2.1518582635336734)))) |
np.mean(np.log(abs(np.square(np.sin(2*np.pi*3.845295676458356*np.sin(2*np.pi*array_x)))-1/(9.663989882552947))), axis=1) |
np.mean(5.6505077673245685*array_x-4.914190416932408+array_x/8.379344049028418-2.7474297789029123, axis=1) |
np.mean(np.square(np.square(8.320910635803731-(np.dot(array_x, np.array([[0.20141924899158947, 0.8483146295444854], [0.5572909557924777, 0.23608254721360644]])))/8.64365689801192*(np.dot(array_x, np.array([[0.7971327359016565, 0.9074154691647834], [0.3124883459973269, 0.7693411060640101]])))-3.266808413717228)), axis=1) |
np.mean(9.04691601392721+2.6684049950246065*array_x+array_x*9.865579290984863*abs(8.99282508118151), axis=1) |
np.mean(np.cos(2*np.pi*np.sqrt(abs(array_x))+1.4793918874424594)/7.823350092598079, axis=1)+10*(np.sin(2*np.pi*np.mean(np.cos(2*np.pi*np.sqrt(abs(array_x))+9.713203794795819)/4.448392760316633, axis=1))) |
np.mean(np.log(abs(np.log(abs(2.5014851198250883))-np.exp(np.cos(2*np.pi*7.021149981583677*array_x)))), axis=1)+np.sin(2*np.pi*np.mean(np.log(abs(np.log(abs(3.9038099257223675))-np.exp(np.cos(2*np.pi*4.646700342125042*array_x)))), axis=1)) |
np.mean(np.square(np.square(array_x*(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)-8.409804195605947)), axis=1)+np.sin(2*np.pi*np.mean(np.square(np.square(array_x*(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)-3.0929588047602183)), axis=1)) |
np.mean(np.sqrt(abs(np.sqrt(abs(2.204778850346107))+np.exp(np.square(array_x)+6.819135011495101))), axis=1) |
abs(-(np.sum(np.cumsum(array_x+9.760957980740246, axis=1)+np.sin(2*np.pi*7.189775647373621)*6.590369496188726+array_x, axis=1))) |
np.prod(np.square(1.206131471627905)*(np.array(range(1, array_x.shape[1]+1)))*array_x*2.931353362220272-(np.array(range(1, array_x.shape[1]+1)))*array_x-9.72549049016914, axis=1) |
np.mean(10*((np.array(range(1, array_x.shape[1]+1)))*array_x/2.778262447501005)+np.square(1.3512249701156398), axis=1) |
np.mean(10*(np.log(abs(array_x+5.21798975608292/6.155402689907321)))+1.9333568613324636/np.sqrt(abs(8.57648120180924/array_x+8.995427514877672+6.518712832783413)), axis=1) |
np.mean(np.square(np.square(8.27238758268412))/np.square(1.8675947779417565-array_x), axis=1) |
np.mean(1.654430940978184+array_x*np.exp(3.9929045720022764), axis=1)+np.sin(2*np.pi*np.mean(8.863673266529531+array_x*np.exp(2.3337465825600594), axis=1)) |
np.mean(4.867282403784673-np.exp(np.sqrt(abs(8.075501984974622-np.square(np.exp((np.array(range(1, array_x.shape[1]+1)))*array_x)))))-abs(9.040623154860855), axis=1) |
np.mean(3.963430901768887*8.4000809020372-array_x*6.0754508867630115, axis=1)+np.sin(2*np.pi*np.mean(9.342358270480796*8.34445394270136-array_x*5.783546360371825, axis=1)) |
np.mean(np.square(-(np.log(abs(2.2150781726287403+array_x)))*np.exp(7.746675676121611)), axis=1) |
np.mean(np.square(10*(np.cos(2*np.pi*(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)))-np.sin(2*np.pi*5.593799013090517-np.exp(array_x)-array_x)), axis=1) |
np.mean(-(array_x+4.0259851123177715*np.sin(2*np.pi*array_x)-np.square(5.388917567738042))-abs(3.067803539361873), axis=1) |
np.mean(-((np.array(range(1, array_x.shape[1]+1)))-9.313872557895712+1.8834083442369183-2.9439703725170157-array_x*6.850394950689894*np.sin(2*np.pi*5.2237592849439505)), axis=1)+np.sin(2*np.pi*np.mean(-((np.array(range(1, array_x.shape[1]+1)))-2.7862410919543943+5.622306518118732-9.065815576428237-array_x*3.6876314497863194*np.sin(2*np.pi*7.455087349549944)), axis=1)) |
np.mean(10*(np.cos(2*np.pi*6.161448126128693+np.exp(array_x))), axis=1) |
np.square(5.12002817768141)+np.square(abs(np.sqrt(abs(np.mean((np.array(range(1, array_x.shape[1]+1)))*array_x, axis=1)))+5.858574623988927)) |
9.424473825457353-10*(np.sum(array_x, axis=1))*6.7981001650868444 |
np.mean(np.square(9.674010919373266*7.695805268260114+array_x+6.913869393291577*(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)-np.square(2.1315760186623467)), axis=1) |
np.mean(4.811003836211776+array_x+array_x+np.square(array_x+5.701643618143305)+4.142142726523852, axis=1) |
np.sum(np.cos(2*np.pi*2.419869042247254)/2.7021889358998212-np.sin(2*np.pi*array_x*8.040176131189806)*6.64634827394546, axis=1)+10*(np.sin(2*np.pi*np.sum(np.cos(2*np.pi*5.930983358708968)/6.765878942059363-np.sin(2*np.pi*array_x*3.378856307815398)*9.938058289067763, axis=1))) |
np.mean(8.656660308825675*np.log(abs(5.375933615044493+array_x))*abs(5.690968449787201), axis=1)+np.sin(2*np.pi*np.mean(3.3742436779831118*np.log(abs(1.8180746248404214+array_x))*abs(1.8177377120628906), axis=1)) |
np.mean(np.square(np.square(np.exp((np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T))-6.586451874336108-np.sqrt(abs(6.798609235119266*array_x)))), axis=1)+10*(np.sin(2*np.pi*np.mean(np.square(np.square(np.exp((np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T))-9.660184754446325-np.sqrt(abs(6.146273399923528*array_x)))), axis=1))) |
np.mean(np.sqrt(abs((np.dot(array_x, np.array([[0.6209885114947724, 0.7877432956173933], [0.11076286793607404, 0.8614583557809079]])))))-array_x*array_x+10*(array_x)+9.030876647151906, axis=1) |
np.mean(8.048117241922549/np.exp((np.dot(array_x, np.array([[0.7254179809328216, 0.2694073679969512], [0.23731970815486958, 0.19180954704085273]])))-7.973474229081325)/(np.array(range(1, array_x.shape[1]+1)))*array_x/np.exp(6.020074621308733)-9.109014941943622, axis=1) |
np.exp(np.exp(np.square(np.mean(array_x+2.7350392364463034-2.7042099720074244, axis=1)))) |
np.mean(10*(4.674793383866732)-(np.dot(array_x, np.array([[0.48921681362942526, 0.9248798262312097], [0.23037836187069594, 0.26469607453485344]])))*8.193485539112505, axis=1) |
np.mean(np.exp(np.sqrt(abs(8.139435103624281))-abs(3.968738494801257)-np.sin(2*np.pi*array_x)+9.939194477610085), axis=1) |
np.mean(-(np.square(7.99690522395935-array_x*2.5361105078136634+9.927325551733079)), axis=1) |
np.mean(np.square(-(7.524118610179788)*np.cumsum(array_x-1.350139742813996, axis=1)), axis=1) |
np.mean(10*(np.log(abs(np.sqrt(abs(np.exp(array_x)+4.561209219086285+np.sin(2*np.pi*np.log(abs(np.square(2.6109536091859433))))*9.649414278854342+array_x))))), axis=1)+10*(np.sin(2*np.pi*np.mean(10*(np.log(abs(np.sqrt(abs(np.exp(array_x)+9.700888775197248+np.sin(2*np.pi*np.log(abs(np.square(2.6484661541806362))))*2.342604490299302+array_x))))), axis=1))) |
np.mean(-(np.log(abs(np.square(2.6130733127710104)+array_x)))-np.log(abs(9.628673791358137))-array_x/np.cos(2*np.pi*np.sqrt(abs(array_x-3.9535053461007914)))*3.6257598063826837, axis=1) |
np.sum(array_x+(np.dot(array_x, np.array([[0.5431402253099121, 0.13583601373160137], [0.7829389478765325, 0.5255393745432453]])))/9.528463485637898+10*(6.295436932407713+np.square((np.dot(array_x, np.array([[0.017208026179125202, 0.974044500133163], [0.12880997711162534, 0.9512040030100676]]))))), axis=1)+10*(np.sin(2*np.pi*np.sum(array_x+(np.dot(array_x, np.array([[0.8919134277570313, 0.5256817522888052], [0.019458720570559418, 0.09646969098800384]])))/1.7737974178914073+10*(3.1487575807865325+np.square((np.dot(array_x, np.array([[0.3247908245913693, 0.477258826670514], [0.8933440896585517, 0.38013430266008696]]))))), axis=1))) |
np.mean(np.square(8.806269927659034+array_x-np.round(np.sin(2*np.pi*5.53368585906891))), axis=1) |
8.379305594766874*np.sum(10*(np.round(np.round(1.162823000931279*4.708759591906929+array_x-(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)))), axis=1) |
np.sum(np.exp((np.dot(array_x, np.array([[0.3733881125065869, 0.20615068864944364], [0.800320442513193, 0.35316359612482484]])))*7.618206102598409-3.3784328848506613), axis=1) |
np.mean(np.exp(2.8922019386315694-(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)-array_x*4.444551390169202), axis=1)+10*(np.sin(2*np.pi*np.mean(np.exp(7.0218265188895685-(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)-array_x*6.7421139720649705), axis=1))) |
np.mean(np.round(10*(10*(2.2548396051839372*(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)-7.7806875803452025)+np.cos(2*np.pi*array_x-2.960911967755356-(np.dot(array_x, np.array([[0.6486273518081079, 0.31979362192995664], [0.528330161592105, 0.5455522694434692]]))))+9.119397550687205)), axis=1)+np.sin(2*np.pi*np.mean(np.round(10*(10*(1.9565402926616364*(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)-6.674953270199017)+np.cos(2*np.pi*array_x-6.385596344394072-(np.dot(array_x, np.array([[0.8437577387187739, 0.43962983320235294], [0.009449542139249312, 0.7423363747467127]]))))+7.274020463913565)), axis=1)) |
np.prod(np.cos(2*np.pi*9.819558584781305)-(np.dot(array_x, np.array([[0.8644156274000412, 0.6271985676462636], [0.44814708604507814, 0.4950212951597903]])))*2.1895227125010166*1.1502328811350284, axis=1)-3.4772939042701685 |
np.mean(8.449122548740041*(np.dot(array_x, np.array([[0.7279892946213913, 0.30220770445882095], [0.8444833205750595, 0.1569070206155624]])))+9.733218740202238+(np.dot(array_x, np.array([[0.16056167355079554, 0.0739896165628291], [0.8158378494625413, 0.28395669103173604]]))), axis=1) |
np.mean(np.square((np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)-8.23435677546686)+array_x/4.596993908120307+1.7841772132041345/np.square((np.array(range(1, array_x.shape[1]+1)))-5.59296318629414/8.200616541416661-8.172371639471582), axis=1) |
np.mean(9.307039286026752*np.sin(2*np.pi*array_x)+2.5298496711383716+np.round(3.1860467310546015)-array_x-10*((np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)+np.log(abs(5.87280997408271)))/1.5817814557296213, axis=1) |
np.cos(2*np.pi*np.sin(2*np.pi*np.mean(10*(2.0313083225879214+array_x)+2.890891621698511+np.sqrt(abs(2.5165464979274663)), axis=1))/2.441690061754292)+10*(np.sin(2*np.pi*np.cos(2*np.pi*np.sin(2*np.pi*np.mean(10*(1.5329423291666118+array_x)+9.97406215528796+np.sqrt(abs(7.8274453683686955)), axis=1))/2.8496535604667876))) |