function
stringlengths 34
1.22k
|
|---|
np.sum(abs(10*(3.8188360504373637-np.sqrt(abs(abs((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.mean(np.sin(2*np.pi*(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)/9.137780625235354)+8.909262564081146+7.710520786401506*array_x*10*(10*(np.round(array_x))), axis=1) |
np.mean(6.020651640718696+np.square(8.250705994020944)*np.exp(array_x), axis=1) |
np.round(np.round(1.0955429692561074+10*(np.sum(array_x+2.6728447299620908, axis=1)))) |
1.0302098661653827-np.cos(2*np.pi*np.sum(array_x, axis=1))+10*(np.sin(2*np.pi*2.4754354308632336-np.cos(2*np.pi*np.sum(array_x, axis=1)))) |
np.mean(4.828380447510964-1.3180856407816253+1/((np.array(range(1, array_x.shape[1]+1))))+7.702860661070431*array_x, axis=1) |
np.mean(array_x*7.358888991668752-np.sin(2*np.pi*2.174230942778358+10*(9.333631125265699)-array_x)-1.2285409327039036, axis=1) |
np.mean(array_x-9.355439226595044-9.933989112193883*array_x+np.sqrt(abs(np.round(3.063410754672597)))*abs((np.array(range(1, array_x.shape[1]+1)))+np.square(1.806922814222093)+5.117434393063566), axis=1) |
np.mean(1/(np.sin(2*np.pi*np.exp(np.sin(2*np.pi*1.7090137747221226-array_x))+np.sin(2*np.pi*7.828632462771771+np.cos(2*np.pi*array_x)))), axis=1)+np.sin(2*np.pi*np.mean(1/(np.sin(2*np.pi*np.exp(np.sin(2*np.pi*7.106917274145348-array_x))+np.sin(2*np.pi*1.5612191853143336+np.cos(2*np.pi*array_x)))), axis=1)) |
np.mean(4.734968280194993*array_x+np.sqrt(abs(array_x-abs(6.332698974323392)+10*(1.6619331008549398*array_x))), axis=1)+10*(np.sin(2*np.pi*np.mean(7.787106695733723*array_x+np.sqrt(abs(array_x-abs(9.89020150422348)+10*(4.744240580564961*array_x))), axis=1))) |
np.mean(6.664856012974624*(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)+5.047201175845689+array_x-5.316477080359653+array_x/6.166028430845593, axis=1) |
np.mean(9.638911685141045-array_x/2.706206193958452+np.square(9.715852596205622-10*(array_x))/3.670028450550949, axis=1) |
np.mean(6.296526594907936+np.square(3.1565277159544882*array_x-np.sqrt(abs(6.515301331688471))), axis=1) |
np.mean(np.square(array_x*10*(array_x))+3.906731074506854, axis=1)+np.sin(2*np.pi*np.mean(np.square(array_x*10*(array_x))+4.586622988639269, axis=1)) |
np.mean(np.sqrt(abs(8.172817495277368*np.exp(np.exp(array_x)))), axis=1)+10*(np.sin(2*np.pi*np.mean(np.sqrt(abs(6.876441527224201*np.exp(np.exp(array_x)))), axis=1))) |
np.mean(10*(array_x-np.exp(6.039086354583584)+2.9835987771137003*np.cos(2*np.pi*np.square(np.sin(2*np.pi*np.cos(2*np.pi*np.sin(2*np.pi*array_x-(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T))))))), axis=1) |
np.round(np.mean(np.log(abs(np.sqrt(abs(np.sqrt(abs(np.exp(np.exp(4.232974322919963+array_x)+np.square((np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T))-8.974401641684217))))))), axis=1)) |
np.mean(np.cos(2*np.pi*np.sqrt(abs(8.674294890048838)))-10*(np.round((np.dot(array_x, np.array([[0.9491740788564086, 0.9174137207143128], [0.5344831268418796, 0.3167251344147486]]))))-8.715870198419987)-1.6746811892891698, axis=1) |
np.sqrt(abs(np.mean(np.square(array_x), axis=1)+np.cos(2*np.pi*9.056024436255212)))-5.748107034218184+10*(np.sin(2*np.pi*np.sqrt(abs(np.mean(np.square(array_x), axis=1)+np.cos(2*np.pi*8.632567673650659)))-6.410580803273935)) |
np.mean(1/(np.log(abs(1.309951519465161))-array_x-5.336565752746226*array_x), axis=1)+np.sin(2*np.pi*np.mean(1/(np.log(abs(6.966055714866653))-array_x-6.734673075838651*array_x), axis=1)) |
np.mean(np.sin(2*np.pi*5.817016594874275+np.sin(2*np.pi*np.sin(2*np.pi*array_x)+3.7337741607198613)), axis=1)+10*(np.sin(2*np.pi*np.mean(np.sin(2*np.pi*7.318409535168906+np.sin(2*np.pi*np.sin(2*np.pi*array_x)+1.3900824976945747)), axis=1))) |
np.mean(3.4396297941512035+np.square(5.16289806770601+array_x*7.522621736968532), axis=1) |
np.mean(abs(2.884451785100908+np.sqrt(abs(array_x))+array_x), axis=1)+10*(np.sin(2*np.pi*np.mean(abs(1.458384036121858+np.sqrt(abs(array_x))+array_x), axis=1))) |
np.amax(6.623261683989794+1/(7.307226419331813+9.558947766291052*-(array_x)), axis=1) |
np.mean(np.exp(np.sin(2*np.pi*(np.array(range(1, array_x.shape[1]+1)))+(np.array(range(1, array_x.shape[1]+1)))*array_x)*np.square(2.760888560784863)), axis=1) |
np.sqrt(abs(6.881111284603467))*np.sum(np.sqrt(abs(np.cos(2*np.pi*array_x)))+9.558710991437083, axis=1)+np.sin(2*np.pi*np.sqrt(abs(3.8937239448670287))*np.sum(np.sqrt(abs(np.cos(2*np.pi*array_x)))+8.325507044914417, axis=1)) |
np.exp(6.586703240016383-np.sum(array_x, axis=1))+np.sin(2*np.pi*np.exp(3.3460183135094224-np.sum(array_x, axis=1))) |
np.mean(np.sin(2*np.pi*abs(array_x)-np.round(array_x/np.log(abs(8.581957509684852*array_x)))*array_x+1.205832932583097+array_x), axis=1)+10*(np.sin(2*np.pi*np.mean(np.sin(2*np.pi*abs(array_x)-np.round(array_x/np.log(abs(6.515505662243046*array_x)))*array_x+5.251323790044689+array_x), axis=1))) |
np.square(np.sum(6.710926256541927-10*(array_x), axis=1))+2.9580527538894925-3.2036130837649224 |
np.mean(np.round(array_x)+1.569091839546916-5.148016394995191, axis=1)+10*(np.sin(2*np.pi*np.mean(np.round(array_x)+2.2195927577824786-5.101357081945805, axis=1))) |
np.mean(8.03316347461431*abs(array_x-(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T))-4.009121720395362, axis=1) |
np.mean(np.sqrt(abs(np.round(np.log(abs(8.290021210441154-np.sqrt(abs((np.array(range(1, array_x.shape[1]+1)))))+2.030658631519267-np.sin(2*np.pi*10*(array_x))))))), axis=1)+10*(np.sin(2*np.pi*np.mean(np.sqrt(abs(np.round(np.log(abs(5.251118371868198-np.sqrt(abs((np.array(range(1, array_x.shape[1]+1)))))+7.070380624322649-np.sin(2*np.pi*10*(array_x))))))), axis=1))) |
np.mean(np.square(np.log(abs(6.08007538621232)))+6.769462357839935*10*(array_x)*8.766475194811795, axis=1) |
np.mean(10*(np.sqrt(abs(np.square(np.exp(array_x))+4.507783568875038-array_x+3.541563101695906-np.exp(3.136944015551489)))), axis=1) |
np.mean(np.log(abs(8.567582930033161-np.square(array_x)+np.square(1.085460766835884+np.square(array_x)))), axis=1)+10*(np.sin(2*np.pi*np.mean(np.log(abs(9.376994730080416-np.square(array_x)+np.square(1.1463290320159714+np.square(array_x)))), axis=1))) |
np.mean(10*((np.array(range(1, array_x.shape[1]+1)))+9.143463119816545+3.8095003404640093+array_x-(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)+abs((np.dot(array_x, np.array([[0.6886279567738652, 0.8154515808303001], [0.11333567791751309, 0.04520570518156364]]))))*4.955729131562519), axis=1) |
np.mean(10*(np.round(-((np.dot(array_x, np.array([[0.2608596361751001, 0.107878783724359], [0.9046835104139803, 0.09767022770887523]])))/7.631649741772743))+array_x+1/(np.cos(2*np.pi*array_x)+8.492598344779125)), axis=1) |
4.923991579639571*np.mean(9.039691183073485+(np.dot(array_x, np.array([[0.017199738368999795, 0.7695542050977541], [0.6357597699841047, 0.29636148926804806]])))-(np.dot(array_x, np.array([[0.23202041013862318, 0.42965176560709806], [0.45474652819392036, 0.05977385423564208]])))+10*((np.array(range(1, array_x.shape[1]+1)))*array_x), axis=1) |
np.round(np.mean(np.sqrt(abs(np.log(abs(3.508877264667312))))*10*(6.705842247928093-(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)+(np.dot(array_x, np.array([[0.7820609515650271, 0.1740962543903718], [0.33268930013691966, 0.8459234624027842]]))))+array_x*6.578720665911675+array_x-9.001092977910707, axis=1)) |
np.prod(np.sin(2*np.pi*array_x-(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)/3.3359683252771912-7.932883375895672)+abs(7.1540619419688865+array_x-(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)), axis=1)+abs(1/(7.457787989681904)) |
np.mean(6.704726418027679+10*(array_x/5.94637312808315+np.sin(2*np.pi*np.cos(2*np.pi*array_x)/5.801027424138197)), axis=1) |
np.mean(8.047124515007312*array_x-(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)+5.785544854745812/(np.array(range(1, array_x.shape[1]+1)))-1.821527718301601*np.log(abs(np.cos(2*np.pi*np.exp(array_x-(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T))))), axis=1) |
np.mean(np.sqrt(abs(array_x-(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)-8.393693546467343+array_x+8.603179546141796))*(np.dot(array_x, np.array([[0.5463243572778469, 0.4048012918186976], [0.34575412579269393, 0.09612284364361734]])))-6.086733557647445*3.719995298126343-6.897666078040734-8.259811128220582*(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T), axis=1) |
np.mean(-(-(3.7054487980217283)*np.exp(1.8758633419945456*(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)+np.cos(2*np.pi*array_x))), axis=1) |
np.mean((np.array(range(1, array_x.shape[1]+1)))*array_x*np.exp((np.array(range(1, array_x.shape[1]+1)))*array_x+7.016635978583287)+2.983057791211261/np.log(abs(9.172196371944217/(np.array(range(1, array_x.shape[1]+1))))), axis=1) |
np.sum(np.sin(2*np.pi*np.cos(2*np.pi*array_x+2.9694081440351634+array_x/abs(8.407630506553318)+(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T))), axis=1)-np.sqrt(abs(np.prod((np.array(range(1, array_x.shape[1]+1)))+(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)+5.080073835231861, axis=1)))+np.sin(2*np.pi*np.sum(np.sin(2*np.pi*np.cos(2*np.pi*array_x+5.4067413575234715+array_x/abs(3.3620702712476414)+(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T))), axis=1)-np.sqrt(abs(np.prod((np.array(range(1, array_x.shape[1]+1)))+(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)+6.505513922969392, axis=1)))) |
np.mean(1.6997606207514022-np.square(9.050106827655078/(np.array(range(1, array_x.shape[1]+1)))+array_x), axis=1) |
np.mean(8.925157058821117*2.9424410627889492+array_x+array_x*8.103367097890233+5.878592542420486, axis=1) |
np.mean(np.log(abs(np.log(abs((np.dot(array_x, np.array([[0.7749077412276385, 0.9945052206065256], [0.8449958593200249, 0.23906703251886297]])))/np.sin(2*np.pi*9.23452244054803)+6.900825431573002+(np.dot(array_x, np.array([[0.4637169894008324, 0.12721950764381784], [0.09152144071968749, 0.5400325820333446]])))-8.987830677936287+(np.dot(array_x, np.array([[0.1845088161074585, 0.052846082252683835], [0.4246138971235328, 0.24248831738449428]]))))))), axis=1) |
np.mean(np.log(abs(1/(np.square(np.exp((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.array(range(1, array_x.shape[1]+1)))*array_x+abs(-(7.313833593888846))))))), axis=1) |
1/(np.sum(np.cos(2*np.pi*np.square(2.6081353917992796+np.square(7.7484923510055435)+array_x)), axis=1))+np.sin(2*np.pi*1/(np.sum(np.cos(2*np.pi*np.square(4.571678734728181+np.square(1.9109376904043338)+array_x)), axis=1))) |
np.sum(8.595281670172529/np.square(5.212313716861953-(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)-3.427170769162516)+array_x, axis=1) |
np.mean(np.exp(9.726245617783768-np.cos(2*np.pi*np.exp((np.array(range(1, array_x.shape[1]+1)))*array_x)/5.417448190872637-(np.array(range(1, array_x.shape[1]+1)))*array_x/8.742268293942281)), axis=1) |
np.prod(np.exp(1.0414954549404614-array_x*array_x), axis=1)+np.sin(2*np.pi*np.prod(np.exp(4.967876366894422-array_x*array_x), axis=1)) |
np.sin(2*np.pi*np.square(9.25962163588255))/np.amax(np.cos(2*np.pi*5.6499123820396076)+8.694752942778065*array_x, axis=1) |
np.mean(np.square(np.exp(np.exp((np.array(range(1, array_x.shape[1]+1)))-1.099008323471689-array_x))*np.round(5.7466422933866905)), axis=1) |
np.sum((np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)*1.1324191271952637*6.972720036894581+np.log(abs(6.085492826704594+array_x)), axis=1) |
np.cos(2*np.pi*4.522141336014403)-np.square(8.699043024081703-np.sum(array_x, axis=1)) |
np.mean(np.square(-(np.cumsum(np.cos(2*np.pi*np.sin(2*np.pi*np.sin(2*np.pi*8.805121478124137)))+np.round(array_x+np.cos(2*np.pi*array_x)), axis=1))), axis=1) |
np.mean(np.cos(2*np.pi*np.cos(2*np.pi*np.cumsum(np.sqrt(abs(array_x)), axis=1)))+4.4034009340641855+(np.array(range(1, array_x.shape[1]+1)))+array_x-(np.dot(array_x, np.array([[0.6371343726157886, 0.9610024167908269], [0.5422684289433872, 0.9083548073732096]])))*4.772387020252056, axis=1) |
np.mean(1/(np.sin(2*np.pi*(np.array(range(1, array_x.shape[1]+1)))+4.583565787282821*np.sin(2*np.pi*(np.array(range(1, array_x.shape[1]+1)))*array_x)+3.5950966000651867)), axis=1) |
np.mean(1/(np.sqrt(abs(1.3424647034049508))-9.282179051736808/np.cos(2*np.pi*7.7413968793024805*(np.dot(array_x, np.array([[0.6778251324421941, 0.9596464533531844], [0.5877310435066863, 0.06290309721721943]]))))/(np.array(range(1, array_x.shape[1]+1)))*array_x), axis=1) |
np.mean(abs(np.square(array_x/6.355577081207467+7.091657783140812+3.229432283512377+8.986238281950136+array_x)), axis=1) |
np.mean(np.sin(2*np.pi*np.square(array_x))-np.cos(2*np.pi*10*(4.3802090661940145)*array_x)*np.log(abs(9.318017118667674))+4.5922321110266235*(np.array(range(1, array_x.shape[1]+1))), axis=1)+np.sin(2*np.pi*np.mean(np.sin(2*np.pi*np.square(array_x))-np.cos(2*np.pi*10*(9.280603122088873)*array_x)*np.log(abs(8.84144594870336))+1.358971379526126*(np.array(range(1, array_x.shape[1]+1))), axis=1)) |
10*(np.exp(np.sum(np.log(abs(-(array_x-6.018602162167135+8.008280654296037))), axis=1))) |
np.round(1/(np.sqrt(abs(np.cos(2*np.pi*np.sqrt(abs(np.sum(np.sin(2*np.pi*5.809171011736061)*array_x+5.022088428074589, axis=1)))+np.exp(4.690738018862457)))))) |
np.mean(9.30929291096028+array_x+1/(9.461112987327734), axis=1)+10*(np.sin(2*np.pi*np.mean(6.745722784224564+array_x+1/(6.85684386344627), axis=1))) |
np.mean(4.439066247159898*6.054773998104661+(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)/np.log(abs(10*(array_x)-4.648094188666892))-3.5032540262655893, axis=1) |
np.mean(np.log(abs(9.874352867208032))-array_x*np.round(10*(5.074193878562613)), axis=1) |
np.round(8.862231808404694*np.mean(array_x, axis=1)-9.618033145248726) |
np.amax(np.sqrt(abs(np.exp(9.681338246412627/8.886330169666781-array_x)))*np.round(np.exp(7.7803291739270275)), axis=1) |
np.mean(np.square(8.824008231279018+array_x-2.4786618374955953)*9.783395235730481, axis=1) |
np.mean(4.576423510073802+np.exp(array_x+np.round(8.247317267721849)), axis=1) |
np.mean(9.749490364067604-np.square((np.array(range(1, array_x.shape[1]+1)))-9.65722478623722)+3.0985164391440896+array_x*1.2328518795294356*5.0723852526657875, axis=1)+np.sin(2*np.pi*np.mean(6.373318957498719-np.square((np.array(range(1, array_x.shape[1]+1)))-1.2504427780071254)+2.503096934530302+array_x*8.424361571572032*9.091489561432399, axis=1)) |
np.mean(np.log(abs(3.1540360951825455))+np.square(7.241715739497365-(np.array(range(1, array_x.shape[1]+1)))+array_x), axis=1)+np.sin(2*np.pi*np.mean(np.log(abs(4.448458966202715))+np.square(9.662489126810405-(np.array(range(1, array_x.shape[1]+1)))+array_x), axis=1)) |
np.mean(5.1244501173136365+np.exp(4.628200649706528+np.sqrt(abs(array_x)))+np.exp(8.756143917778674+array_x*6.408164294018153), axis=1) |
np.square(np.sum(np.exp(np.square(np.cos(2*np.pi*-(np.square((np.array(range(1, array_x.shape[1]+1)))*array_x))*(np.array(range(1, array_x.shape[1]+1)))*array_x-4.693442035615883))), axis=1)) |
np.mean(np.square(np.cos(2*np.pi*array_x*array_x-(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)))-np.sqrt(abs(np.round(4.034928113415731)))-np.exp(np.exp(array_x)+np.sqrt(abs((np.array(range(1, array_x.shape[1]+1)))))+8.918480481288796), axis=1) |
np.mean(10*(np.cos(2*np.pi*np.sqrt(abs(9.042069381022072-array_x)))), axis=1) |
np.mean(np.log(abs(np.square(9.021511786706032-(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)+2.8891196121041856*array_x-(np.dot(array_x, np.array([[0.8843857891821373, 0.8561384165718486], [0.15091468591567492, 0.04203171106705794]])))-array_x-3.076695586879223))), axis=1)+10*(np.sin(2*np.pi*np.mean(np.log(abs(np.square(7.9433334507238875-(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)+8.64687797074902*array_x-(np.dot(array_x, np.array([[0.6487356096804093, 0.3778585331017398], [0.4403691058116468, 0.7454653667958373]])))-array_x-3.2988965897583946))), axis=1))) |
np.sin(2*np.pi*np.sum(abs(4.168624645614795)-np.square(5.484478316056529)+array_x, axis=1))-1.8826971784337727+np.sin(2*np.pi*np.sin(2*np.pi*np.sum(abs(3.016791979624429)-np.square(3.2928076364289978)+array_x, axis=1))-2.9386254901815) |
np.mean(np.sin(2*np.pi*9.338132986620158-(np.array(range(1, array_x.shape[1]+1)))*array_x-(np.dot(array_x, np.array([[0.4691638261276986, 0.34330128326303444], [0.6478223834587397, 0.39277040955733467]]))))*1.7713982052070694+10*(10*((np.array(range(1, array_x.shape[1]+1)))*array_x)), axis=1) |
np.round(np.mean(np.exp(7.304489166150943)*array_x-9.512354250968244+array_x, axis=1)) |
np.mean(np.log(abs(1/(array_x+np.log(abs(7.481304005619147)))))*10*(4.784528854801809), axis=1)+np.sin(2*np.pi*np.mean(np.log(abs(1/(array_x+np.log(abs(4.313217430397136)))))*10*(3.420755279494659), axis=1)) |
np.sum(np.log(abs(array_x*array_x+(np.dot(array_x, np.array([[0.5428068110677462, 0.3234701381273919], [0.680448769494904, 0.1873885057917013]])))+np.log(abs(3.8642202173907068)))), axis=1)+10*(np.sin(2*np.pi*np.sum(np.log(abs(array_x*array_x+(np.dot(array_x, np.array([[0.4524023942353138, 0.0004454155784113789], [0.28524189810983325, 0.2528380199793596]])))+np.log(abs(2.8008693247240513)))), axis=1))) |
np.mean(1.314498095735394*np.sqrt(abs((np.array(range(1, array_x.shape[1]+1)))+np.cos(2*np.pi*7.731553245147418)-array_x)), axis=1)+10*(np.sin(2*np.pi*np.mean(8.28818835670268*np.sqrt(abs((np.array(range(1, array_x.shape[1]+1)))+np.cos(2*np.pi*9.765323190659501)-array_x)), axis=1))) |
np.mean(np.square(np.sqrt(abs(9.757589014206603))*(np.array(range(1, array_x.shape[1]+1)))*array_x+1/(1.1205924436643195)*np.cos(2*np.pi*9.121441728733885)/(np.array(range(1, array_x.shape[1]+1)))*array_x-1.9735134543063366+1.276254237751325), axis=1) |
np.round(np.mean(10*(np.sqrt(abs(array_x*1.6046993164208363))+6.26562058871362), axis=1)) |
np.log(abs(np.round(8.979044974086818)))+np.sqrt(abs(np.sum(np.square(9.27829226926547-array_x), axis=1)))+10*(np.sin(2*np.pi*np.log(abs(np.round(5.005056983678561)))+np.sqrt(abs(np.sum(np.square(8.843551498845358-array_x), axis=1))))) |
np.amax(7.015505012214601/np.square(np.exp(array_x-(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T))), axis=1) |
np.mean(10*(abs(1.7548151245666779/(np.array(range(1, array_x.shape[1]+1)))))+5.105338902732207*array_x*8.34040730293782, axis=1) |
np.mean(np.square(-(6.767774870340975+10*(9.70931910282927)-array_x)), axis=1) |
np.mean(np.round(array_x+array_x)-5.263049975729588-7.564051185841695/np.cos(2*np.pi*10*(np.exp(np.square(array_x))+np.round(array_x)-9.064293480752912)), axis=1) |
np.mean(np.exp(np.exp(array_x))+3.0387197008132145+(np.dot(array_x, np.array([[0.03989722321198541, 0.410994069634087], [0.43397633800655455, 0.1676743567482455]])))+1.9671964984802361+(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T), axis=1) |
np.sum(9.777582411093837+(np.dot(array_x, np.array([[0.35863010787687644, 0.4029199308706628], [0.68449137125348, 0.5613727986869439]])))*1.438595226331617+(np.dot(array_x, np.array([[0.8929139264287133, 0.9018995470740677], [0.05372088688642518, 0.6152454970394327]]))), axis=1) |
np.log(abs(np.log(abs(np.amax(-(array_x), axis=1)-np.sqrt(abs(np.sin(2*np.pi*8.161824911621633))))))) |
np.mean(np.square(np.sin(2*np.pi*1/(9.383194236697674))-np.sqrt(abs(np.exp(np.sin(2*np.pi*array_x))))*8.962156520549456+array_x), axis=1)+np.sin(2*np.pi*np.mean(np.square(np.sin(2*np.pi*1/(8.920598049980374))-np.sqrt(abs(np.exp(np.sin(2*np.pi*array_x))))*2.048953942043127+array_x), axis=1)) |
np.mean(-(np.sin(2*np.pi*array_x))*np.sin(2*np.pi*3.553463493567272)+6.431728534954922, axis=1)+10*(np.sin(2*np.pi*np.mean(-(np.sin(2*np.pi*array_x))*np.sin(2*np.pi*5.634911204165972)+9.15918618422303, axis=1))) |
np.mean(np.sin(2*np.pi*9.67399199754736)+(np.dot(array_x, np.array([[0.4839765681014294, 0.5863393453349107], [0.5938813029148989, 0.12970617492013448]])))+(np.dot(array_x, np.array([[0.03374428215583636, 0.2267136915113217], [0.5078324372346796, 0.8975953623742312]])))+(np.array(range(1, array_x.shape[1]+1)))+4.513396730658204*array_x/np.sqrt(abs(1.3333558342777594)), axis=1) |
np.mean(10*(2.6717514519057723-np.sqrt(abs(6.70637144416448))+array_x), axis=1) |