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np.mean((np.array(range(1, array_x.shape[1]+1)))/np.round(np.sqrt(abs(8.598265070683615)))+np.exp(np.sqrt(abs(np.sqrt(abs((np.dot(array_x, np.array([[0.5688593868997304, 0.44643272665873024], [0.14045063358404053, 0.12707815266171296]])))))*1.379906777342765))-7.338545252268416/np.square(2.9643641908937552/array_x+2.9972230992984765)), axis=1)+10*(np.sin(2*np.pi*np.mean((np.array(range(1, array_x.shape[1]+1)))/np.round(np.sqrt(abs(4.960480575170509)))+np.exp(np.sqrt(abs(np.sqrt(abs((np.dot(array_x, np.array([[0.06379922944552119, 0.09306569730938008], [0.8546345060905773, 0.5080664879424086]])))))*1.581974190379384))-2.5334918818053747/np.square(5.60248653012257/array_x+2.8480537101719183)), axis=1))) |
np.mean(np.sin(2*np.pi*-(array_x)*3.4346084197891225*array_x)-4.933677899092867*-(9.057131278570301+(np.array(range(1, array_x.shape[1]+1))))*np.sqrt(abs(abs(6.814193436131548)*np.cos(2*np.pi*array_x+3.78974476079758))), axis=1)+np.sin(2*np.pi*np.mean(np.sin(2*np.pi*-(array_x)*9.961236798207189*array_x)-9.539817478572289*-(4.441464056199784+(np.array(range(1, array_x.shape[1]+1))))*np.sqrt(abs(abs(9.49556975780914)*np.cos(2*np.pi*array_x+8.255860948907664))), axis=1)) |
np.mean(np.square(np.square(np.sqrt(abs(3.414287026509974))+np.cumsum(4.3843974340129535-(np.dot(array_x, np.array([[0.43298979506241586, 0.23145716566689933], [0.45018051625614164, 0.4423748574983051]])))-(np.dot(array_x, np.array([[0.03815477589544436, 0.1132435828875088], [0.7243222889053774, 0.45511152231663465]]))), axis=1))), axis=1) |
np.mean(10*(10*(np.square(4.3969208025454325*1.2575383696965572-array_x))), axis=1) |
np.mean(1/(np.sqrt(abs(np.sqrt(abs((np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)))))-(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)-np.sin(2*np.pi*6.928948891802293)-array_x), axis=1) |
np.sum(10*((np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)+3.0795841156719+2.068988781590971)/np.cumsum(4.446663075160389-array_x+(np.array(range(1, array_x.shape[1]+1))), axis=1), axis=1) |
np.mean(np.square(np.square(6.591856761457493-array_x-2.816000782762812*array_x)), axis=1) |
np.mean(np.square(np.square(np.square(4.145305139725261)/10*(np.exp(array_x+1.3821786512081036)))), axis=1) |
np.mean(np.exp(np.sin(2*np.pi*np.cos(2*np.pi*array_x))*7.123753804546179), axis=1) |
np.mean(np.square(np.sin(2*np.pi*np.cos(2*np.pi*8.144711260362094)-np.square(7.62987019206707*array_x))-3.818672813193377), axis=1)+np.sin(2*np.pi*np.mean(np.square(np.sin(2*np.pi*np.cos(2*np.pi*8.090601450347188)-np.square(9.671811748736541*array_x))-3.37552358047832), axis=1)) |
np.mean(np.sqrt(abs(3.630495369853793-10*(3.4506398232364988*array_x*np.round(4.584077744719376)+array_x))), axis=1) |
np.mean(10*((np.array(range(1, array_x.shape[1]+1)))*array_x)*5.568154147309445/(np.array(range(1, array_x.shape[1]+1)))*array_x+np.round(np.round(9.859984432063127)), axis=1) |
np.exp(np.mean(8.326619203502037+array_x-(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T), axis=1)) |
np.prod((np.array(range(1, array_x.shape[1]+1)))*array_x+(np.dot(array_x, np.array([[0.8534069658708066, 0.3231342593380798], [0.8630901873204643, 0.0626875103946779]])))-np.round(np.square(7.41004100934417))-(np.array(range(1, array_x.shape[1]+1)))*array_x, axis=1) |
np.mean(np.round(4.547784072147843)-np.sqrt(abs(np.sin(2*np.pi*array_x*7.431718849483424)))*9.043163545437979+abs(np.exp(np.exp(array_x))), axis=1)+10*(np.sin(2*np.pi*np.mean(np.round(5.928606025733391)-np.sqrt(abs(np.sin(2*np.pi*array_x*8.896803651621031)))*7.4351268263038515+abs(np.exp(np.exp(array_x))), axis=1))) |
np.mean(2.340578731784556+10*(8.035836409560936+np.sin(2*np.pi*array_x)+5.926697065153499)-np.sqrt(abs(np.round(array_x)-9.01713662976872)), axis=1)+np.sin(2*np.pi*np.mean(3.4544472316619665+10*(8.887088576717487+np.sin(2*np.pi*array_x)+6.951552389139642)-np.sqrt(abs(np.round(array_x)-4.876630554653204)), axis=1)) |
np.mean(np.square(array_x-3.9356721357386135)*2.070993491651301+1/(np.log(abs(5.924121343488605*array_x)))/5.928553076103962, axis=1)+np.sin(2*np.pi*np.mean(np.square(array_x-4.301801850704816)*1.0936037720665488+1/(np.log(abs(6.912002125522431*array_x)))/5.624232125394548, axis=1)) |
1/(np.cos(2*np.pi*np.mean(4.256469921808032-np.exp(np.cos(2*np.pi*array_x)/5.348027177246017*9.290343456214153), axis=1))) |
np.mean(np.exp(3.2678704653767903)/np.cos(2*np.pi*2.1664531927809536/8.169506049412878+array_x), axis=1) |
np.mean(array_x-np.cos(2*np.pi*np.sqrt(abs(5.827451250834786)))*9.661437585168128-10*(array_x), axis=1) |
np.mean(np.square(10*(7.032607266793221+array_x/1.489541151167555))+8.968072321658308, axis=1) |
np.mean(1/(np.sin(2*np.pi*np.sin(2*np.pi*2.468270862034762)-(np.dot(array_x, np.array([[0.8653012410224132, 0.2400439481602803], [0.5225953244871043, 0.7860183652219224]])))-(np.dot(array_x, np.array([[0.03245995621268816, 0.35087095534024415], [0.14147233033180173, 0.008500592977556565]])))+5.092026859101173-np.sqrt(abs(3.131749845852465*9.403863160732392+(np.dot(array_x, np.array([[0.551498200168232, 0.9036223241852953], [0.7490462561813114, 0.28154619082455956]])))-np.cos(2*np.pi*-((np.dot(array_x, np.array([[0.5864596429292063, 0.445894435460385], [0.49424432122280193, 0.621611968898557]]))))))))), axis=1) |
np.mean(10*(np.square(5.051180258103859/4.799965558448304-array_x)), axis=1)+np.sin(2*np.pi*np.mean(10*(np.square(6.111636352901043/2.9381631634160534-array_x)), axis=1)) |
np.mean(np.square(np.exp(array_x)*10*(abs(1.4464630935749483))/8.171946294579786), axis=1) |
np.mean(10*(array_x), axis=1)*9.47068406766167+6.383330048123561 |
np.mean(np.sqrt(abs(2.7273554111010196*np.cos(2*np.pi*1.0212160156698613*array_x+array_x))), axis=1)+10*(np.sin(2*np.pi*np.mean(np.sqrt(abs(1.541503038416098*np.cos(2*np.pi*6.934188351518089*array_x+array_x))), axis=1))) |
np.mean(6.269152164521064-array_x*4.373334266322343-10*(array_x+2.185897882100896), axis=1)+np.sin(2*np.pi*np.mean(8.928720707773252-array_x*5.603579763505097-10*(array_x+7.618697892300602), axis=1)) |
np.square(np.sum(6.225781421505041+array_x+np.sin(2*np.pi*2.4291201565655243), axis=1)) |
np.mean(np.square(-(np.exp(5.068711717768829))/(np.array(range(1, array_x.shape[1]+1)))*array_x-6.715703388853962), axis=1) |
np.mean(np.sin(2*np.pi*1.943132858086726)+(np.dot(array_x, np.array([[0.4729837765314485, 0.2239591314154622], [0.9676147638671554, 0.6762903262197545]])))/np.sqrt(abs(7.4867320390675545))/6.213760433605367*array_x+5.320884257591502*array_x-5.615090214437393, axis=1) |
np.mean(np.cos(2*np.pi*array_x-(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T))/9.635961380153848+6.982411718793681*array_x-(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)+1.93661536468781, axis=1) |
np.exp(4.396319407097411)+np.mean(array_x, axis=1)*np.exp(np.exp(2.5476616561313112))+np.sin(2*np.pi*np.exp(5.1218137338311065)+np.mean(array_x, axis=1)*np.exp(np.exp(2.34015919504773))) |
np.mean(array_x-3.1779445049189636-np.round(6.977558076901291)*-(array_x)-array_x/2.844557901749705+np.sqrt(abs(9.66099420741198)), axis=1)+np.sin(2*np.pi*np.mean(array_x-6.686066069751066-np.round(6.6610425928317385)*-(array_x)-array_x/9.504354462986946+np.sqrt(abs(6.202785033616657)), axis=1)) |
np.mean(np.cos(2*np.pi*np.square(np.exp(1.0614962217450055)+np.sqrt(abs(np.cos(2*np.pi*array_x)))))-np.exp(array_x+7.5221089077624335-10*(8.533010472545929))*array_x-7.4433264974865345*3.1471512669237027, axis=1)+np.sin(2*np.pi*np.mean(np.cos(2*np.pi*np.square(np.exp(6.773566386598205)+np.sqrt(abs(np.cos(2*np.pi*array_x)))))-np.exp(array_x+3.4251332551949427-10*(5.630790193407214))*array_x-8.734544189685058*8.555331401242718, axis=1)) |
np.mean(np.log(abs(1.444186905655005))*np.sqrt(abs(np.exp(4.802929453410131+(np.array(range(1, array_x.shape[1]+1)))*array_x))), axis=1) |
np.mean(10*(1.2188245134096678+array_x)-9.941571212560564/4.282505256189765*array_x+array_x*array_x, axis=1) |
np.mean(np.square(np.round(np.sqrt(abs(6.615372940333783-(np.array(range(1, array_x.shape[1]+1)))+4.864474757852181*array_x+np.round(1.2797356013941896+array_x))))), axis=1) |
np.log(abs(np.sin(2*np.pi*np.cos(2*np.pi*3.842233061890542-np.sum(2.89748144828186-array_x-(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)+np.log(abs(4.8064378483254515)), axis=1))))) |
np.mean(np.square(array_x+array_x+array_x-np.cos(2*np.pi*4.74840746508975))-array_x-5.4190948527143386/3.896526445496923, axis=1)+np.sin(2*np.pi*np.mean(np.square(array_x+array_x+array_x-np.cos(2*np.pi*3.4407038719454515))-array_x-5.75308976515247/8.327464895190555, axis=1)) |
np.mean(np.square(np.sqrt(abs(np.exp(array_x+2.820371699294673)))+array_x+6.174852581560747+array_x), axis=1)+np.sin(2*np.pi*np.mean(np.square(np.sqrt(abs(np.exp(array_x+6.660546463550417)))+array_x+1.2705050199182686+array_x), axis=1)) |
np.mean(np.square(1.7837814948701805*abs(2.9330859213289395)+array_x*-((np.array(range(1, array_x.shape[1]+1))))-9.915053265532078), axis=1) |
np.mean(np.exp(7.0567171137625095-1.9359545953896593/array_x+np.log(abs(2.255214938432086)))*5.471584802932041*array_x-4.298995527400647, axis=1) |
np.square(np.prod(6.374621558570313+array_x/3.0128764101630767, axis=1))+3.0142988703105598 |
np.mean(array_x-8.05257875868557-2.6738188967797383-1.5974065451217045, axis=1)+10*(np.sin(2*np.pi*np.mean(array_x-8.750751713352711-8.531227501190322-3.5414911602769, axis=1))) |
np.exp(np.sum(array_x-(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T), axis=1)+9.304555690909481+array_x[:,0])*abs(7.328701770385421) |
np.round(10*(np.mean(-(np.sin(2*np.pi*7.9129522625151845+array_x)), axis=1)*np.log(abs(8.131483841266522+array_x[:,0]))-np.exp(1.030478974298552)))+10*(np.sin(2*np.pi*np.round(10*(np.mean(-(np.sin(2*np.pi*9.29186270440071+array_x)), axis=1)*np.log(abs(3.352221304241959+array_x[:,0]))-np.exp(4.929563114527137))))) |
np.mean(np.sqrt(abs(10*(5.425995129969095*array_x-(np.array(range(1, array_x.shape[1]+1)))-array_x-np.cos(2*np.pi*2.360681930234946)))), axis=1)+10*(np.sin(2*np.pi*np.mean(np.sqrt(abs(10*(1.9447346424973986*array_x-(np.array(range(1, array_x.shape[1]+1)))-array_x-np.cos(2*np.pi*6.651679275991745)))), axis=1))) |
np.mean(np.square(array_x+2.018455630053327+(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)), axis=1) |
np.mean(10*(array_x+np.cos(2*np.pi*4.2425873480531395)+-(array_x)/9.387768986804721), axis=1) |
np.mean(np.square(-(6.155546565309671+np.log(abs(1.0820946063665784))+array_x)), axis=1) |
np.square(5.580575680816788)-np.log(abs(6.782532440630212))/np.log(abs(np.amax(array_x, axis=1))) |
np.mean(array_x-8.281395833831873*np.square(array_x+8.93332368184415), axis=1) |
np.mean(np.sin(2*np.pi*-(1/(5.601483340302605+array_x)))+6.863214397291937+array_x+(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)*5.952258945474471, axis=1)+np.sin(2*np.pi*np.mean(np.sin(2*np.pi*-(1/(9.301302354470787+array_x)))+4.226663830075899+array_x+(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)*2.1761260378144245, axis=1)) |
np.mean(np.sqrt(abs(array_x-6.856256592331858))*7.589863400417752*5.453394160707773, axis=1) |
np.mean(array_x+9.859234705334567-array_x+np.square((np.array(range(1, array_x.shape[1]+1)))+4.655281281028564)*np.log(abs(2.3393356234030453))*array_x+array_x, axis=1) |
np.amax(10*(array_x)-np.log(abs(np.square(2.845244085485602)))-5.769298902706911, axis=1)-np.round(np.sin(2*np.pi*-(np.cos(2*np.pi*1.3055337994253695-array_x[:,0])))) |
np.mean(-(1/(np.sqrt(abs(7.5169279544261425))))-2.10972569439769*array_x, axis=1)+10*(np.sin(2*np.pi*np.mean(-(1/(np.sqrt(abs(4.890260694648813))))-1.5436571181217555*array_x, axis=1))) |
np.mean(8.234110501129393-array_x*2.5703136898206727, axis=1)+10*(np.sin(2*np.pi*np.mean(2.6963297927038865-array_x*1.1917392496547912, axis=1))) |
np.mean(np.cos(2*np.pi*2.9256082686314224)+array_x*9.210833022612167, axis=1) |
np.round(9.922400387407537)-np.square(np.sum(np.log(abs(np.cos(2*np.pi*array_x))), axis=1)) |
np.mean(10*(4.955980526873624-array_x+np.square(np.sin(2*np.pi*array_x)))-1.6937694943124788, axis=1) |
np.sum(5.760274703440505-array_x*5.154360555810276-np.cos(2*np.pi*abs(np.sqrt(abs(7.086299880133126))+array_x/abs(3.4287609432871484))), axis=1) |
np.sqrt(abs(9.087747290578308/np.prod(array_x-8.20117346571206, axis=1)))-5.794358473325779-6.025736156288475*np.cos(2*np.pi*array_x[:,0]) |
np.prod(array_x, axis=1)*np.round(np.sqrt(abs(7.706543343086283)))+np.round(8.982095340801116)-2.221903320899014+10*(np.sin(2*np.pi*np.prod(array_x, axis=1)*np.round(np.sqrt(abs(4.073185005324791)))+np.round(9.73580069236828)-3.865732932154504)) |
np.mean(np.square((np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)-2.231145302071397+9.406257416826243/np.cos(2*np.pi*(np.dot(array_x, np.array([[0.978245596820144, 0.2882655177721014], [0.5262661439665646, 0.04268534690074677]])))*array_x-(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T))+np.cos(2*np.pi*9.057777190394814/np.sin(2*np.pi*4.6010961342378085+(np.array(range(1, array_x.shape[1]+1)))))), axis=1) |
np.mean(np.exp(1.6684239296621013*(np.dot(array_x, np.array([[0.1603131022048644, 0.24220147482391996], [0.4244985161975452, 0.015849982003887986]]))))*np.square(2.483796828111063)-np.round(-(9.2892145782561+np.exp(abs(array_x/6.305135295840904-array_x)))), axis=1)+np.sin(2*np.pi*np.mean(np.exp(9.827132615460318*(np.dot(array_x, np.array([[0.5701125816072071, 0.6395948338824622], [0.20975485393310245, 0.12700799377531202]]))))*np.square(6.178006304559317)-np.round(-(5.587646194301791+np.exp(abs(array_x/4.413836983816769-array_x)))), axis=1)) |
np.mean(np.cumsum(np.square(np.round(np.square(10*(4.224836829292776+array_x)))), axis=1)+array_x*1.091523212775108-9.620732353478076-np.log(abs(8.635963996730316)), axis=1) |
np.mean(np.exp(5.072368719955092)*array_x+4.9036814104867075*4.959757717113875+array_x+(np.dot(array_x, np.array([[0.47195440109866305, 0.6238920644484093], [0.6370025271975398, 0.35776211916822953]]))), axis=1) |
np.mean(7.413470469338612*abs(np.exp(8.445219504763369-array_x*7.222339857087226))+6.622053071569726+array_x, axis=1) |
np.mean(np.square(3.8013019492628635)+np.round(np.exp(np.cos(2*np.pi*np.exp(abs(array_x)))*6.558229694681138)), axis=1) |
np.mean(np.cos(2*np.pi*(np.dot(array_x, np.array([[0.5332148320817262, 0.046434328318763485], [0.03150869662356026, 0.8111508486975442]])))-array_x+np.sqrt(abs(np.round(9.260644947317477)))-np.log(abs(np.cos(2*np.pi*9.552369969560312)))/2.7513611541312395*np.square(array_x)*(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)-7.16851073756442), axis=1)+10*(np.sin(2*np.pi*np.mean(np.cos(2*np.pi*(np.dot(array_x, np.array([[0.8633190099883765, 0.7688202230837842], [0.18106647537734488, 0.952226742924272]])))-array_x+np.sqrt(abs(np.round(3.944300161244147)))-np.log(abs(np.cos(2*np.pi*3.0988229988181004)))/2.705155353090199*np.square(array_x)*(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)-3.5031545882026385), axis=1))) |
np.mean(np.square(5.168702541531988)-7.376497677727403+array_x*5.016520445440783+array_x, axis=1) |
np.mean(np.sqrt(abs(np.sqrt(abs(array_x))*9.144728568482083))+np.cos(2*np.pi*3.6516209116140375), axis=1)+10*(np.sin(2*np.pi*np.mean(np.sqrt(abs(np.sqrt(abs(array_x))*3.817499157023517))+np.cos(2*np.pi*6.5866497336270555), axis=1))) |
3.9801803093376167-np.exp(8.484250664637356-array_x[:,0])+np.sum(np.square(5.2677840094853705+array_x), axis=1) |
np.mean(3.53904545858474/np.exp(np.cos(2*np.pi*3.611125534249129)+array_x*9.594721035599873), axis=1)+np.sin(2*np.pi*np.mean(9.372026109298444/np.exp(np.cos(2*np.pi*9.79578867572046)+array_x*3.187942897566261), axis=1)) |
np.mean(np.square(9.196497674483501+7.235768147489409*(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)-8.284865948504027+np.exp(np.sqrt(abs(array_x)))), axis=1) |
np.mean(10*(np.sqrt(abs(np.sqrt(abs(8.845170564867463))*np.sqrt(abs(5.39892462516981))*(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)-8.638155468822378))), axis=1) |
np.mean(np.cos(2*np.pi*np.log(abs(array_x+1.9714883649544794))/np.sin(2*np.pi*np.round(4.628096534711333)-array_x)-3.0207033428650303), axis=1)+10*(np.sin(2*np.pi*np.mean(np.cos(2*np.pi*np.log(abs(array_x+3.849772266260287))/np.sin(2*np.pi*np.round(1.4384411245529223)-array_x)-5.729381366836773), axis=1))) |
np.mean(np.exp((np.dot(array_x, np.array([[0.13368986163110308, 0.10697277306493824], [0.3885425612346537, 0.4433700186320011]])))-(np.dot(array_x, np.array([[0.06688917903398806, 0.8805583526511999], [0.15345739198369324, 0.8668910964727508]])))+np.log(abs(np.sin(2*np.pi*(np.dot(array_x, np.array([[0.9988996115857688, 0.7544293065037294], [0.7560179261447721, 0.44950291783281715]])))))))-np.exp(np.sqrt(abs(4.937146200737712+(np.dot(array_x, np.array([[0.9141778725940104, 0.32920782836867113], [0.6589675771359728, 0.5617597967924607]])))-8.912361022295133)))*np.exp(10*((np.dot(array_x, np.array([[0.5022004300704527, 0.00341197732099896], [0.6837140353680161, 0.3058660870300972]]))))+4.103538624775352), axis=1) |
np.mean(np.square(8.349712184132226+np.exp(array_x)-1.1118215073232265), axis=1)+10*(np.sin(2*np.pi*np.mean(np.square(9.32044184579986+np.exp(array_x)-7.807928143404493), axis=1))) |
np.mean(array_x+5.485952814967905, axis=1)+10*(np.sin(2*np.pi*np.mean(array_x+6.377981373491775, axis=1))) |
np.mean(np.round(np.square(np.round(np.exp(array_x)))+1.3947662894494175), axis=1) |
np.mean(10*(2.4851391839259658)+np.square((np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T))+np.square(9.04670764585592+np.cos(2*np.pi*(np.dot(array_x, np.array([[0.0235528197303726, 0.09525075157073637], [0.01570959116978843, 0.15132198859891344]]))))+np.sqrt(abs(array_x))), axis=1) |
np.sum(np.log(abs(np.square(-(np.exp(np.round((np.dot(array_x, np.array([[0.34156273480188803, 0.4962701081067109], [0.49720787618613715, 0.7346921272038442]]))))))-np.exp(array_x)))), axis=1)+np.sin(2*np.pi*np.sum(np.log(abs(np.square(-(np.exp(np.round((np.dot(array_x, np.array([[0.5620065050529273, 0.897181021949369], [0.11361885499925983, 0.7288791731119695]]))))))-np.exp(array_x)))), axis=1)) |
np.prod(np.sqrt(abs(5.849117504069384-2.0666668158329076+array_x*7.917230211517967))+np.log(abs(6.102374551371842)), axis=1) |
np.mean(5.300542669039576+10*(10*(np.log(abs(1.6513096313811317+array_x)))), axis=1) |
np.mean(9.537469835330935-1/(2.277179727628677)+array_x/np.cos(2*np.pi*10*(array_x)/7.818421396480356/np.log(abs(4.390037039033169))), axis=1) |
np.mean(np.sqrt(abs((np.array(range(1, array_x.shape[1]+1)))*array_x))+1.1721117059567403-np.exp(5.2300154242003805)-1/(3.524012558219707-8.975478161408429/np.square((np.array(range(1, array_x.shape[1]+1)))*array_x)+1.23220211865493), axis=1) |
np.mean(abs(array_x+np.sqrt(abs((np.dot(array_x, np.array([[0.7799338417622418, 0.4125474863428972], [0.7083933831095367, 0.6281417060624568]]))))))*1.5000050439827368+array_x+array_x-4.998267064467234, axis=1)+np.sin(2*np.pi*np.mean(abs(array_x+np.sqrt(abs((np.dot(array_x, np.array([[0.17096995035496654, 0.9371497921975305], [0.48159975394013854, 0.5803268026384502]]))))))*3.2324192623083787+array_x+array_x-9.161405138120546, axis=1)) |
np.mean(2.120461408694858/(np.array(range(1, array_x.shape[1]+1)))*array_x-3.3911909358293078-array_x+np.round(np.cos(2*np.pi*7.292749401505678))+8.499531963860651-(np.dot(array_x, np.array([[0.08047194955926507, 0.16882345183644487], [0.7265688824968515, 0.6282098031718268]])))*7.171389297507961+1/(abs((np.array(range(1, array_x.shape[1]+1))))), axis=1) |
np.mean(np.square(np.exp(array_x)+9.940930421434828/np.log(abs(array_x))), axis=1) |
np.mean((np.array(range(1, array_x.shape[1]+1)))*array_x*1.0355476051414996*6.713135316800254-3.6101609764944276/9.056031282482545-(np.array(range(1, array_x.shape[1]+1)))*array_x-5.82744026655308, axis=1) |
np.mean(5.992910639912742+(np.dot(array_x, np.array([[0.06540953044246389, 0.19974936224460504], [0.1317301882674914, 0.7329538324542206]])))+np.sin(2*np.pi*np.exp((np.array(range(1, array_x.shape[1]+1)))*array_x)-7.364824028258554)*3.8473971408182046*np.round((np.array(range(1, array_x.shape[1]+1)))*array_x), axis=1) |
8.703036409321886-np.cos(2*np.pi*3.193574955374284)/np.mean(np.sin(2*np.pi*array_x-(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)-8.97550430593869), axis=1) |
np.mean(10*(10*(np.cos(2*np.pi*5.337493266690519*(np.array(range(1, array_x.shape[1]+1)))*array_x))+10*((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.square(np.log(abs(np.sqrt(abs(9.965863821111101)))))-array_x*6.382366261308378+2.4898642037491268*np.square((np.dot(array_x, np.array([[0.12697394341682944, 0.6508325792303863], [0.6556948356637368, 0.4623580972661083]])))*6.0563110355659795), axis=1) |
np.round(np.mean(np.exp(np.sqrt(abs(5.858718740431659*array_x))/1.2921309768074922), axis=1)) |
np.exp(3.7675912276493255+np.amax(4.1868903069804695+(np.array(range(1, array_x.shape[1]+1)))*array_x, axis=1)) |
np.mean(1.0776061047270626*3.3141722677127823+array_x-9.657174365919058+4.174466349271345*array_x, axis=1)+np.sin(2*np.pi*np.mean(9.446916942260358*5.990593176212862+array_x-6.662878821858402+8.060416123909953*array_x, axis=1)) |
np.mean(7.971920048352054*array_x+np.cos(2*np.pi*np.sqrt(abs(4.300731766618568))), axis=1) |