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np.mean(6.083643157432817-(np.array(range(1, array_x.shape[1]+1)))+2.507202431666472*array_x*np.sqrt(abs(np.exp(2.129053415338047))), axis=1)+np.sin(2*np.pi*np.mean(5.372919987787311-(np.array(range(1, array_x.shape[1]+1)))+3.7083626647342434*array_x*np.sqrt(abs(np.exp(7.891865506197018))), axis=1)) |
np.mean(np.sqrt(abs(np.sqrt(abs(np.sqrt(abs(np.sin(2*np.pi*array_x)))))*1.3831125824478243+array_x-np.sin(2*np.pi*3.0093371803637106)))+np.square(8.772768147839354)*array_x-4.694685422626772, axis=1) |
np.mean(3.075186178826362+np.cumsum(array_x, axis=1)+np.square((np.dot(array_x, np.array([[0.44947315786607434, 0.135912396783067], [0.714808996839785, 0.21361993471699248]]))))*4.642325178233116/3.9238889589836994*array_x*9.823551577407438, axis=1) |
np.mean(4.331647357739801+np.square(np.square(4.531606372235759)-np.square(array_x)), axis=1) |
np.mean(np.exp(4.906870537549942+(np.array(range(1, array_x.shape[1]+1)))*array_x)*(np.array(range(1, array_x.shape[1]+1)))*array_x-(np.array(range(1, array_x.shape[1]+1)))*array_x+8.571520453028048, axis=1) |
np.mean(abs(1/(2.1648028784369617))/np.cos(2*np.pi*np.exp(2.4736610918424016)*np.sqrt(abs((np.array(range(1, array_x.shape[1]+1)))*array_x))), axis=1) |
np.mean(np.square(np.exp(abs(np.sin(2*np.pi*7.41619483632917))*(np.array(range(1, array_x.shape[1]+1)))*array_x+np.square(np.sin(2*np.pi*1.2772390021366289)))), axis=1) |
np.mean(np.sqrt(abs(3.7496845052695025+array_x/3.86381391868491+1/(8.14877758703393)))+1/(np.log(abs(array_x+np.log(abs(8.264276921614256))-np.exp(array_x)))+np.sin(2*np.pi*9.112807576534019)), axis=1) |
np.round(np.prod(np.sqrt(abs(np.sqrt(abs(9.238876867920236+1/(np.sin(2*np.pi*9.451462476004153+array_x))))+np.log(abs(np.log(abs(5.280999177101493+array_x)))))), axis=1)) |
np.mean(1.5653981249591533+np.exp(np.cos(2*np.pi*np.sin(2*np.pi*np.cos(2*np.pi*4.151658398704366+array_x)))), axis=1)+10*(np.sin(2*np.pi*np.mean(7.547538409116023+np.exp(np.cos(2*np.pi*np.sin(2*np.pi*np.cos(2*np.pi*4.6088102323325355+array_x)))), axis=1))) |
np.mean(np.sqrt(abs(np.log(abs(np.sin(2*np.pi*7.8001247838778704+(np.dot(array_x, np.array([[0.35995594577998713, 0.533292178575256], [0.047330837010746696, 0.267928241755253]]))))))))*np.cumsum(np.sqrt(abs(3.6980276390081905))*9.908481056555399-np.exp((np.dot(array_x, np.array([[0.9383462610845328, 0.859463403357186], [0.8737926711382165, 0.008062463366317996]])))), axis=1), axis=1) |
np.mean(9.216657248247058+array_x*7.994242036040749, axis=1)+np.sin(2*np.pi*np.mean(1.5640347212693255+array_x*8.916644906232488, axis=1)) |
np.mean(10*(array_x)*9.72897521027064+3.4882701946235284-array_x-abs(7.9637674369049325), axis=1) |
np.mean(5.587307678567019*array_x*6.525413694026442*array_x*np.cos(2*np.pi*(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)*2.6293514222078205)-6.6430153428023155, axis=1) |
np.mean(np.round(np.exp(array_x*array_x*array_x))-9.50878559599492+array_x*4.975652722086867-9.330680568873461-np.cos(2*np.pi*array_x+2.3534618540167243), axis=1) |
np.square(np.cos(2*np.pi*np.square(np.square(9.76581812440468)-np.sum(array_x, axis=1)))/3.9339807343810005+np.sin(2*np.pi*np.cos(2*np.pi*10*(np.sqrt(abs(6.825287601320164))))))+10*(np.sin(2*np.pi*np.square(np.cos(2*np.pi*np.square(np.square(5.35167273696745)-np.sum(array_x, axis=1)))/4.218202372202845+np.sin(2*np.pi*np.cos(2*np.pi*10*(np.sqrt(abs(5.729944967070116)))))))) |
np.mean(10*(array_x-5.893623511127782)-2.946975529417575+np.round(np.square(10*(array_x))), axis=1) |
np.round(np.mean(1.341085467162448+np.square(8.695900990884429)*(np.array(range(1, array_x.shape[1]+1)))*array_x*4.605844066552958*7.061411363291256, axis=1)) |
np.mean(6.611242987128513-7.4921345055493145-array_x/1.774432735584992-(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T), axis=1)+10*(np.sin(2*np.pi*np.mean(1.9091052652973686-3.690639280951851-array_x/2.3858661428548293-(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T), axis=1))) |
np.mean(np.square(array_x-np.exp(3.8879222479833837))/8.784849513675512, axis=1) |
np.mean(abs(3.755537266725008-np.square(2.0391396941667264+array_x)), axis=1)+10*(np.sin(2*np.pi*np.mean(abs(9.253655030209401-np.square(5.71091225835635+array_x)), axis=1))) |
np.mean(10*(8.86038879672111*5.525679469664134-array_x)+np.sqrt(abs(4.566035988677858-array_x))+np.sin(2*np.pi*8.21262544801909), axis=1)+np.sin(2*np.pi*np.mean(10*(1.7315727039485007*9.868908168973116-array_x)+np.sqrt(abs(9.761066050625304-array_x))+np.sin(2*np.pi*2.6722473353170466), axis=1)) |
np.square(7.759371316459926+np.prod(array_x-(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T), axis=1))-np.cos(2*np.pi*np.sqrt(abs(9.817824162688645))) |
np.log(abs(7.191111059837334))+np.square(np.sum(9.68368094595853-array_x, axis=1)) |
np.prod(array_x+2.1657644927446995, axis=1)-7.467203589058109 |
np.sum(np.sqrt(abs(array_x)), axis=1)*6.162405535786032-2.6602229319609743 |
np.mean(3.913301868662166/abs(array_x-1.2180325985840754), axis=1) |
np.mean(np.sqrt(abs(array_x))+7.907510539672916*array_x*array_x+6.229894470932976-np.sqrt(abs(5.041747251981426-np.sqrt(abs(1.363674986201558))-array_x)), axis=1) |
np.mean(np.square(array_x+3.7897470937446696-(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)/5.5552923087169335), axis=1)+np.sin(2*np.pi*np.mean(np.square(array_x+4.73479433984099-(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)/9.243634162412961), axis=1)) |
np.mean(np.sqrt(abs(np.exp(abs(array_x))))-9.775967650564597-array_x, axis=1)+10*(np.sin(2*np.pi*np.mean(np.sqrt(abs(np.exp(abs(array_x))))-4.407865308344755-array_x, axis=1))) |
np.prod(2.542234420092849-array_x*np.square(6.070068588460658), axis=1) |
np.mean(np.round(np.exp(np.sqrt(abs(1.4410172120455342)))-np.sin(2*np.pi*array_x))*np.square(6.7893768160694705), axis=1) |
np.mean(np.sqrt(abs(2.4811636593402877-array_x/3.3430997506919544))-np.cumsum(np.sqrt(abs(np.log(abs(np.cos(2*np.pi*array_x)*4.425545252934306)))), axis=1), axis=1)+10*(np.sin(2*np.pi*np.mean(np.sqrt(abs(7.607893474143095-array_x/1.7806653144506268))-np.cumsum(np.sqrt(abs(np.log(abs(np.cos(2*np.pi*array_x)*5.095280345256575)))), axis=1), axis=1))) |
np.mean(6.793345358634842-7.650057931338524*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)+2.233789115429163, axis=1) |
np.mean(array_x-array_x*7.530956072765459-7.1338817421315275, axis=1) |
np.mean(np.square(6.305572371245888-np.square(1.6715183569267085)-6.154477858178811*1.4730259245739548+array_x), axis=1) |
np.mean(np.square(array_x+9.371133553185883)+2.546470768379051, axis=1) |
np.sum(np.log(abs(np.cos(2*np.pi*6.098050620441414)+np.sin(2*np.pi*np.sqrt(abs(array_x))))), axis=1)+10*(np.sin(2*np.pi*np.sum(np.log(abs(np.cos(2*np.pi*8.301794744158695)+np.sin(2*np.pi*np.sqrt(abs(array_x))))), axis=1))) |
np.sum(10*(np.cos(2*np.pi*-(np.square(7.610892148236218+array_x)))), axis=1) |
np.mean(6.289101596554537+5.512181142460321*array_x-np.sin(2*np.pi*7.023527575287322)*array_x, axis=1) |
-(np.round(-(9.772871622531103))*array_x[:,0]-2.502353384676927+np.sum(np.log(abs(8.313212827289451/(np.array(range(1, array_x.shape[1]+1)))*array_x-7.043759641924118+(np.array(range(1, array_x.shape[1]+1)))+abs(6.342555926150976))), axis=1)) |
np.mean(abs(abs(array_x)-array_x)-np.exp(8.03495199893019)+8.346066354208265*array_x-7.4329617557565575, axis=1) |
np.amax(-(10*(np.round(array_x)+1.7765664207722833)*np.round(array_x)), axis=1)-np.exp(np.amax(6.637893300707155-array_x, axis=1))+1.0159732327419828 |
np.mean(4.076289330385802+array_x*np.sqrt(abs(np.exp(8.525513917541769))), axis=1) |
np.prod(np.exp(np.round((np.array(range(1, array_x.shape[1]+1)))*array_x)*4.361481070966903)-np.sqrt(abs(np.sqrt(abs((np.array(range(1, array_x.shape[1]+1)))*array_x))-2.8731010957700716/8.716199377841576)), axis=1) |
np.sqrt(abs(np.mean(3.256305568911941-np.square(8.440805536307607*array_x), axis=1))) |
np.mean(1.2028343492114888+np.square(np.square(abs(array_x-array_x*6.031304104834822))), axis=1) |
np.mean(10*(array_x+8.79267954290013)+10*(np.square(array_x*6.9983737835373505))*np.square(3.2007886599709785)+8.232514049341955*3.1796406815646794+(np.array(range(1, array_x.shape[1]+1))), axis=1) |
np.mean(5.318963430361027+np.square(np.exp(abs(1.5549450492402423)/(np.array(range(1, array_x.shape[1]+1)))*array_x)/2.805294605568279*(np.array(range(1, array_x.shape[1]+1)))*array_x-4.904615235434637/1.445439413238711), axis=1) |
np.mean(-((np.array(range(1, array_x.shape[1]+1)))*array_x-3.307815782337663*np.sqrt(abs(array_x+6.5767971777461085*np.sqrt(abs(np.exp(3.236693712862336)))))), axis=1)+10*(np.sin(2*np.pi*np.mean(-((np.array(range(1, array_x.shape[1]+1)))*array_x-4.658109392616561*np.sqrt(abs(array_x+7.97397382475534*np.sqrt(abs(np.exp(4.368574950746908)))))), axis=1))) |
np.sum(np.sin(2*np.pi*np.exp(np.sqrt(abs(np.cos(2*np.pi*abs(array_x)+4.692126963292585+np.round(1.126039329412424)))))), axis=1) |
10*(np.sqrt(abs(np.amax(array_x+9.212149988798743*2.405067453444183, axis=1))))+10*(np.sin(2*np.pi*10*(np.sqrt(abs(np.amax(array_x+9.983797167843761*2.4980327612122895, axis=1)))))) |
np.mean(np.square(5.147234499663991+array_x+6.445032079159842), axis=1) |
np.mean(array_x/np.sin(2*np.pi*5.834484782921051)-(np.dot(array_x, np.array([[0.8543682399925704, 0.05442128069547458], [0.12100493040991578, 0.9771936459207445]])))-10*(2.0948997845753237-6.889013082974165*(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)), axis=1) |
np.mean(np.exp(10*(np.sin(2*np.pi*abs(array_x-6.424289526080496))))-2.45816428805373-10*(array_x), axis=1) |
np.sum(array_x-8.416087838192368+np.exp(array_x), axis=1)-np.round(np.cos(2*np.pi*np.square(np.cos(2*np.pi*7.322486447987837)))) |
np.square(np.amax(np.square(np.sin(2*np.pi*8.498060757680769+array_x))-array_x*8.38204066258401-np.square((np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)), axis=1)) |
np.mean(np.sqrt(abs(9.109182764135674))*5.5331685102859955-array_x, axis=1)+10*(np.sin(2*np.pi*np.mean(np.sqrt(abs(3.9606784683727905))*2.666819819801839-array_x, axis=1))) |
np.mean(7.294987322172237+np.square(np.exp(array_x)), axis=1)+10*(np.sin(2*np.pi*np.mean(2.2924462889725956+np.square(np.exp(array_x)), axis=1))) |
np.mean(abs(np.square(np.square(abs(3.0189886478927943-array_x)))), axis=1) |
np.mean(3.948234976345201*np.cos(2*np.pi*np.exp(array_x+3.086056950549705)), axis=1) |
np.mean(np.log(abs(np.sin(2*np.pi*np.cos(2*np.pi*np.cos(2*np.pi*np.round(np.square(7.046936258593149)))/np.cos(2*np.pi*np.square(np.square(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)+9.503867315540719))))))), axis=1) |
np.mean(np.exp(5.739626089400331+array_x)+5.471317830732221+np.exp(np.square((np.array(range(1, array_x.shape[1]+1))))-np.square(array_x)), axis=1) |
np.round(np.square(np.mean(np.round(7.3246201863826865-array_x), axis=1))) |
np.prod(np.exp(np.square(array_x))+3.669803513546584-array_x, axis=1)+np.sin(2*np.pi*np.prod(np.exp(np.square(array_x))+2.49221699473964-array_x, axis=1)) |
10*(np.mean(abs(array_x-array_x+4.259609767551812)-array_x*3.4727824161102534-8.484362550769838, axis=1)) |
np.mean(3.031464493929184/(np.array(range(1, array_x.shape[1]+1)))*array_x-1.985799431795563*10*((np.array(range(1, array_x.shape[1]+1)))*array_x)+np.square((np.array(range(1, array_x.shape[1]+1)))*array_x+np.round(3.0339662412501034)), axis=1) |
np.mean(8.421257218891844+np.sin(2*np.pi*array_x/2.4802406416347376), axis=1)+10*(np.sin(2*np.pi*np.mean(7.399734049799639+np.sin(2*np.pi*array_x/7.073309610353817), axis=1))) |
np.mean(np.cumsum(10*((np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)-array_x+7.743496289646867/3.514878337101291), axis=1), axis=1) |
np.mean(np.square(1.0731134818818642+array_x+6.743196563352397/np.sqrt(abs(1.6484777818732046))+array_x*9.632457824069004/7.433755028291452*5.466967905700084-array_x), axis=1) |
np.mean(np.log(abs(np.cos(2*np.pi*array_x)))+np.exp(7.235984420624754-array_x+6.617194886050508+array_x*(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)), axis=1) |
np.square(np.square(np.exp(5.696212023697519/np.mean(4.8053167045798775-array_x, axis=1)+np.amax(np.sin(2*np.pi*array_x), axis=1)))) |
np.mean(np.square(10*(3.9643194053766577)*np.square(-(6.465521103144522)*-(array_x)))*array_x+8.137728938248653-3.7405865312334714, axis=1) |
np.mean(np.sqrt(abs(np.exp(9.978972926709588)*np.sin(2*np.pi*2.32330285660702+-(np.cos(2*np.pi*array_x))/2.80355108314296-(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)))), axis=1) |
np.mean(np.sqrt(abs(np.cos(2*np.pi*3.952432486103156)-array_x))*np.square(array_x-7.789385906141882*5.664850781612376*9.403929459992861-abs(array_x)), axis=1) |
np.sum(np.sqrt(abs(8.230792173034148-array_x))*np.cos(2*np.pi*9.757555999157834-3.3520944166708735*(np.dot(array_x, np.array([[0.38787046474507547, 0.6298809653890408], [0.8297346337170792, 0.6597127968669216]]))))+abs(7.522375836712579), axis=1) |
np.mean(2.9454718247944798+10*((np.array(range(1, array_x.shape[1]+1)))*(np.array(range(1, array_x.shape[1]+1)))*array_x+3.349119145577413), axis=1) |
np.mean(10*(10*(8.544624083671806/2.448929400802596-array_x)), axis=1) |
np.mean(-(np.sqrt(abs(np.sqrt(abs(array_x+7.097347158598085))+10*(array_x)*4.487925813735956))), axis=1) |
np.mean(np.exp(6.042984481121748-np.log(abs(7.304366483735672-(np.array(range(1, array_x.shape[1]+1)))*array_x))-1.4913952362086764+np.round(7.356939348910435)-6.531612594259334), axis=1) |
1.7335586158504466*np.sum(1.8928716996466235-array_x, axis=1)*3.333242841533655 |
np.mean(np.exp(np.sin(2*np.pi*3.551410453036108-np.cos(2*np.pi*(np.array(range(1, array_x.shape[1]+1))))-5.503319246427842))*8.248794032955455+8.93567398235885*array_x-array_x-4.006552108777571, axis=1) |
np.mean(6.754507242872433*2.872263102729121*array_x-3.760269739228832-np.sqrt(abs((np.array(range(1, array_x.shape[1]+1)))-array_x-8.05075709099673)), axis=1) |
np.sum(np.log(abs(np.log(abs(np.sqrt(abs(np.cumsum(np.sin(2*np.pi*5.529013050559686+array_x*7.2478925831753855), axis=1))))))), axis=1) |
np.sum(np.exp(np.sqrt(abs(np.sin(2*np.pi*6.929310366202646)*10*(array_x-4.630500899205561*array_x))))-9.684821294575398, axis=1) |
np.mean(np.cumsum(array_x-(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)-1.1089625418975488+(np.dot(array_x, np.array([[0.01514173582955436, 0.14421680749362487], [0.5562729949538963, 0.35750992156315886]])))*(np.array(range(1, array_x.shape[1]+1))), axis=1)*4.732253589674425, axis=1) |
np.sum(np.sin(2*np.pi*np.square(np.cumsum(-(array_x+4.774431649041491), axis=1))/abs(np.sin(2*np.pi*np.exp(4.875594542189557)+array_x*1.8718166175764837)*8.353300740384654)), axis=1)+np.sin(2*np.pi*np.sum(np.sin(2*np.pi*np.square(np.cumsum(-(array_x+9.141155802056414), axis=1))/abs(np.sin(2*np.pi*np.exp(7.02099871627603)+array_x*8.694158121125419)*2.144587405093419)), axis=1)) |
np.mean(2.4339106814432663/3.14250749736869-np.exp(np.log(abs(3.7890494496509257))+array_x), axis=1) |
np.mean(np.cumsum(np.square((np.array(range(1, array_x.shape[1]+1)))*7.84264817192216)*array_x-5.67231091740686*4.617040646266799/7.24896592455247+array_x, axis=1), axis=1) |
np.mean(-(np.cos(2*np.pi*9.806708393404875)+array_x/np.square(np.square(4.176989660332867)-4.801554452135042/array_x-7.78496322712725)), axis=1) |
np.sum(abs(np.square(np.exp(8.79398677318512-array_x))), axis=1)+10*(np.sin(2*np.pi*np.sum(abs(np.square(np.exp(9.054479818131316-array_x))), axis=1))) |
np.exp(8.903652522369317-abs(np.sum(array_x, axis=1))*2.2300947212290785) |
np.mean(9.25418243242909-abs((np.array(range(1, array_x.shape[1]+1)))+4.212575802342995)+10*(array_x), axis=1)+np.sin(2*np.pi*np.mean(7.802469292179723-abs((np.array(range(1, array_x.shape[1]+1)))+7.83654562001107)+10*(array_x), axis=1)) |
np.sqrt(abs(np.amax(array_x-1.4308413908966218, axis=1)-3.6598113583345717))+10*(np.sin(2*np.pi*np.sqrt(abs(np.amax(array_x-9.938050425144063, axis=1)-5.974330861871387)))) |
np.mean(3.7982891898001907*10*(7.326219485066054)+np.square(2.032062247448446*array_x+array_x)-1/(2.3677464247104743), axis=1) |
np.mean(np.log(abs(array_x+np.cos(2*np.pi*9.441653954262245)))*8.731036263387036*(np.array(range(1, array_x.shape[1]+1)))+np.exp(np.sqrt(abs(np.sin(2*np.pi*array_x-8.1465908126255)))), axis=1) |
np.mean(6.1969166301651715-10*(9.023127795771288-array_x*np.round(1.7751573725079455)), axis=1) |
np.mean(np.square(8.670830031994146)-np.square(np.square(8.57168769087167*array_x+array_x)), axis=1) |
np.mean(-(9.381155619620426+array_x*3.008461866547293*2.033433976877272*np.cumsum(array_x, axis=1)/4.808086697665519), axis=1)+10*(np.sin(2*np.pi*np.mean(-(4.615182130466786+array_x*6.520097346737495*4.600733614189337*np.cumsum(array_x, axis=1)/9.3305853125021), axis=1))) |
np.round(np.square(np.log(abs(np.mean(abs(1.8327648797443465)+np.exp(2.1733564463766104+array_x), axis=1))))) |