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np.mean(10*(9.759525469800382)*4.814589110874907+np.cos(2*np.pi*array_x)*6.468449538877159, axis=1) |
np.mean(6.204929354001207/4.478298630985553/np.square(6.015964801652001)-np.cumsum(array_x, axis=1)*5.057317365072251-(np.array(range(1, array_x.shape[1]+1))), axis=1) |
np.mean(7.510489170200094-(np.dot(array_x, np.array([[0.5557409241848114, 0.9448497057438826], [0.5500952160054426, 0.4152211046953018]])))/3.1470265896387275+array_x+array_x*9.794712475696445*np.square(1.963731878864122), axis=1) |
np.exp(np.mean(np.round((np.array(range(1, array_x.shape[1]+1)))*array_x), axis=1))*abs(5.95483600240212) |
np.mean(10*(np.square(2.0912947358446514)+array_x*3.4609191710783334+2.7724826925420327-array_x+6.9786507116667025-3.7633744954280575*array_x), axis=1) |
np.mean(9.30666707518153-np.square(array_x)*4.999410296116804, axis=1) |
np.mean(-(np.square(np.cumsum((np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)+3.0500764711091746, axis=1)))-np.square(5.51662959336758+(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.round(10*(-((np.array(range(1, array_x.shape[1]+1)))*array_x)))/np.square(2.17319121278177)-10*(np.round(3.28136106250582+(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T))/np.log(abs(8.606510243379422))), axis=1) |
np.square(np.sin(2*np.pi*6.880107867082398)-1/(np.prod(np.log(abs(array_x))+np.sqrt(abs(9.173766677173615)), axis=1)+7.860558776706071)) |
np.mean(np.sin(2*np.pi*2.5496914987053283/7.756799784423771-(np.dot(array_x, np.array([[0.8355992523814012, 0.946585326531297], [0.7953128846115833, 0.2383938247232067]])))+8.166004406134839+(np.array(range(1, array_x.shape[1]+1)))*array_x)/np.square(1.77435024491168)+np.cumsum(np.exp((np.array(range(1, array_x.shape[1]+1)))*array_x), axis=1)-np.square(5.74434329819913), axis=1) |
np.mean(np.cos(2*np.pi*np.cos(2*np.pi*1.423686539994188-np.sqrt(abs(array_x*6.291491949928692))))+7.0141451468396125*array_x*abs(5.767000503592601-np.cos(2*np.pi*array_x-8.178500033765992)), axis=1) |
np.mean(3.3026904126749095+array_x*np.square(np.sin(2*np.pi*(np.array(range(1, array_x.shape[1]+1)))*array_x)), axis=1)+10*(np.sin(2*np.pi*np.mean(5.889603921932866+array_x*np.square(np.sin(2*np.pi*(np.array(range(1, array_x.shape[1]+1)))*array_x)), axis=1))) |
np.mean(10*(3.828148717869113)/np.sqrt(abs(np.cos(2*np.pi*array_x+9.845948327604724))), axis=1) |
np.mean(np.round(np.square(3.185716403370791+np.cos(2*np.pi*array_x)+np.exp(array_x)/5.008272286988229+array_x)), axis=1) |
np.mean(np.sqrt(abs(np.exp(1.5175452690335955)*np.sin(2*np.pi*2.5098676399406243-array_x-1.1966393746154471))), axis=1)+10*(np.sin(2*np.pi*np.mean(np.sqrt(abs(np.exp(6.66226980346515)*np.sin(2*np.pi*3.672524945353182-array_x-6.293108450871209))), axis=1))) |
1/(np.sum(3.3128250598215967/np.log(abs((np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)))+9.17635832273175+array_x/3.930624182836367/2.4121142552196613, axis=1)) |
np.mean(1/(np.sin(2*np.pi*10*(array_x)-array_x-abs(2.3752199237233205))+np.sin(2*np.pi*7.778351211470363)), axis=1) |
np.exp(np.sum(np.square(np.exp(array_x-9.02610586987483)+2.818176832163124), axis=1))+10*(np.square(9.939960171544)) |
np.mean(np.exp(6.33944830535176)*np.square(np.square(abs(array_x+1.7037867381999183))), axis=1) |
10*(np.sum(np.square(array_x-9.287869305452865), axis=1)) |
np.mean(np.square(4.23561376953981*np.log(abs(np.square((np.array(range(1, array_x.shape[1]+1)))/1.7748328539807479)))-1.0345898979132828+10*(array_x)-6.791877063853526), axis=1) |
np.mean(np.sqrt(abs(np.square(6.431939425080769*np.round(array_x))-np.square(2.633442897060699+array_x/abs(2.530817221597997)))), axis=1) |
np.mean(10*(1.7736542739922945)/np.round((np.array(range(1, array_x.shape[1]+1))))+8.560379233671117/np.cos(2*np.pi*array_x+array_x)*array_x+np.square(8.732037265231678)+2.3432746561753666+array_x, axis=1) |
np.prod(5.587228278195767/np.cumsum((np.array(range(1, array_x.shape[1]+1)))+array_x-1.5574815818724002, axis=1)/np.sin(2*np.pi*np.square(7.878966483260768)*array_x+(np.array(range(1, array_x.shape[1]+1)))), axis=1) |
np.mean(np.square(array_x*9.998186794380828-np.sqrt(abs(array_x+np.sqrt(abs(6.817267622397016))))), axis=1)+np.sin(2*np.pi*np.mean(np.square(array_x*9.174249819453902-np.sqrt(abs(array_x+np.sqrt(abs(2.4463210923147374))))), axis=1)) |
np.mean(8.455348583870027*(np.dot(array_x, np.array([[0.7801636129554436, 0.5989034594506853], [0.7437972750362655, 0.7115228467954223]])))*(np.dot(array_x, np.array([[0.6656805722108041, 0.36147340136149364], [0.7169053447636591, 0.2938119408707799]])))/2.6078473853221373-abs(1.901067927623978), axis=1) |
np.mean(np.square(8.894350169057137-np.cumsum(np.cos(2*np.pi*10*(4.893210900351641)-array_x)-2.657932954137314, axis=1)), axis=1)+np.sin(2*np.pi*np.mean(np.square(5.214024712624073-np.cumsum(np.cos(2*np.pi*10*(4.766481933314775)-array_x)-2.5779494816089876, axis=1)), axis=1)) |
np.mean(np.square(8.081242441840367-array_x), axis=1) |
np.mean(np.sin(2*np.pi*4.247942903441594)-array_x*7.146338519932286+6.986287420404598+6.702079175784588, axis=1) |
np.mean(abs(6.23110943223016*array_x)-np.cos(2*np.pi*5.334212387387184-np.square(10*(3.6606652018762063+array_x))), axis=1) |
np.mean(np.square(np.exp(2.008228646731841)+np.exp(np.cos(2*np.pi*array_x-array_x))), axis=1) |
np.sum(np.square(9.35544755854772-array_x/2.8900637643144274-(np.array(range(1, array_x.shape[1]+1)))-np.square(6.7128680475887474)), axis=1) |
np.exp(np.amax(6.344288908261087+array_x-9.871910370442732/4.308587708222369*array_x-array_x-2.2909997173631576, axis=1))+10*(np.sin(2*np.pi*np.exp(np.amax(8.4752231898043+array_x-8.593121584639903/4.207609076587948*array_x-array_x-7.605512744297688, axis=1)))) |
np.mean(np.log(abs(np.square(array_x*7.304649968301256+array_x-6.792786666940979)))*(np.dot(array_x, np.array([[0.6778633969418146, 0.18812398566440514], [0.5421036408300133, 0.6251793421173873]])))/5.98212585472648/np.log(abs(array_x))+(np.array(range(1, array_x.shape[1]+1)))+array_x, axis=1) |
np.exp(10*(1/(7.841990364980607)))*np.mean(7.622871932576938+array_x, axis=1)+np.sin(2*np.pi*np.exp(10*(1/(5.333385957496047)))*np.mean(6.55560195988177+array_x, axis=1)) |
np.mean(1.0881352735090104-np.square(4.9498682827022815-array_x)+np.cos(2*np.pi*np.exp(np.square(5.46192063256011))), axis=1) |
np.sum(np.cumsum(array_x*4.565666395978688, axis=1), axis=1)-9.395126977453431 |
np.mean(np.square(np.sin(2*np.pi*array_x+np.sin(2*np.pi*array_x))-array_x-1.9766245584688156)*7.160734466788461, axis=1) |
np.mean(7.859247626812682+10*(3.4161878711392397*array_x)-np.square(4.6424960187018485), axis=1)+10*(np.sin(2*np.pi*np.mean(9.524672491435297+10*(2.0039542625537963*array_x)-np.square(6.173711655429251), axis=1))) |
np.mean(1.5020644838906085-abs(array_x+5.04477886692749*(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T))*array_x*np.round(3.362673044794624), axis=1)+10*(np.sin(2*np.pi*np.mean(7.083984139799222-abs(array_x+5.236760280319488*(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T))*array_x*np.round(2.387034896842324), axis=1))) |
np.mean(np.square(6.261345217907361+array_x-(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T))+7.722124920280098+array_x-(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)-np.sin(2*np.pi*2.3714364687496756*(np.array(range(1, array_x.shape[1]+1)))+9.770950443545072), axis=1) |
np.mean(np.round(-(np.sin(2*np.pi*array_x))*10*(7.815228389168906)+np.exp(2.297333278663048+array_x+8.614646515733794)), axis=1) |
np.exp(np.mean(4.902803255062399-np.square(3.1470936171243182+(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*3.2128542639636217), axis=1) |
np.mean(np.round(6.986967976861663)*array_x-np.sin(2*np.pi*4.724212361893616)/6.755173777156501+array_x, axis=1) |
np.mean(np.exp(7.547166285906647)*(np.dot(array_x, np.array([[0.3111806890343852, 0.7024425657922793], [0.5547657599834187, 0.7576884820742289]])))*(np.dot(array_x, np.array([[0.4060802111120815, 0.9678375896747333], [0.8663009174714911, 0.1804786213609456]])))-np.log(abs(6.150684244900728)), axis=1) |
np.mean(-(np.sqrt(abs(-(6.417070169395979))))-10*(array_x-1.4267950841111163), axis=1)+10*(np.sin(2*np.pi*np.mean(-(np.sqrt(abs(-(7.72620708123687))))-10*(array_x-2.049148620676026), axis=1))) |
np.mean(2.1554965829134085-array_x*8.440950178625346*array_x+7.250214475079028, axis=1) |
np.square(np.mean(np.log(abs(7.494227787292844/np.cos(2*np.pi*np.cos(2*np.pi*array_x)+np.cumsum(10*((np.dot(array_x, np.array([[0.7511767626674781, 0.6835519852782128], [0.08857131186728595, 0.36453852382889784]])))-1.4977638001047833), axis=1)*np.log(abs(2.554416443531374))))), axis=1)) |
2.3747986304239195+10*(np.sum(np.cos(2*np.pi*array_x)*3.074452923448825, axis=1)) |
np.mean(np.exp(5.879651491428304)/np.sqrt(abs((np.array(range(1, array_x.shape[1]+1)))))+np.square(5.104678400653428)/np.log(abs(np.sin(2*np.pi*np.cos(2*np.pi*np.sqrt(abs(array_x*4.495020754729621+8.26444113253805)))))), axis=1) |
np.mean(4.70719381762947-np.round(np.square(3.2572551476464726-array_x)), axis=1) |
np.mean(10*(np.log(abs(np.cos(2*np.pi*8.337603163615196)-array_x*np.cos(2*np.pi*(np.dot(array_x, np.array([[0.18684231426273645, 0.3043251720714192], [0.5142151431587622, 0.6983427594063142]])))*3.6880304895330003*6.375076255466421)-np.cos(2*np.pi*9.572266005742064)))), axis=1) |
np.mean((np.array(range(1, array_x.shape[1]+1)))*array_x+1.8537263995244668/np.exp(8.447002269930548)-5.119214063888669+np.square(np.exp((np.array(range(1, array_x.shape[1]+1)))*array_x))+np.cos(2*np.pi*np.sin(2*np.pi*np.sin(2*np.pi*1.5590790121262468*(np.array(range(1, array_x.shape[1]+1)))))), axis=1) |
7.764852411921708*np.sum(np.round(np.square(array_x-(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)-8.232541678917126)), axis=1)+8.376123537087343 |
np.mean(2.2712494118707887+(np.dot(array_x, np.array([[0.3391526350337535, 0.18214579873691872], [0.9863086833280709, 0.6754055620732714]])))*7.8893969881562676+np.sqrt(abs(3.7251652905591)), axis=1) |
np.amax(abs(np.square(4.801024162260045+array_x*7.256003709025909-8.440702337012393+array_x)), axis=1)-9.678077272347728+np.sin(2*np.pi*np.amax(abs(np.square(1.860246284125589+array_x*1.4198009232541775-2.379381121758015+array_x)), axis=1)-3.637167632090211) |
np.mean(7.034258672695465-array_x, axis=1)-array_x[:,0]*4.113418262670738-np.cos(2*np.pi*5.441740213863449)*np.cos(2*np.pi*np.sum((np.dot(array_x, np.array([[0.24393489923697065, 0.9272467734234688], [0.6683136964662837, 0.9499060435274179]])))-3.3012684361087685, axis=1)+3.6709766887830275) |
1/(np.cos(2*np.pi*np.sum(np.square(np.cos(2*np.pi*abs(array_x)+(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T))), axis=1))) |
5.380718708950225-np.square(np.mean(array_x, axis=1)*1.1718737014360037*1.528867008218258)+10*(np.sin(2*np.pi*8.135221260938152-np.square(np.mean(array_x, axis=1)*7.320132794338713*8.50343422495461))) |
np.sum(10*(1.7714233185258168-2.3054537834998254*array_x)-np.exp(4.3260956120731), axis=1) |
np.sum(array_x-9.947515624060594, axis=1)*-(7.020017197006828) |
np.mean(abs(np.cos(2*np.pi*-(np.cos(2*np.pi*7.602640892236804)+np.sin(2*np.pi*array_x*3.681152118720339))))-np.square(array_x+7.4242203401429485), axis=1) |
np.mean(6.562600616935352+5.838389562840032/(np.array(range(1, array_x.shape[1]+1)))*array_x+np.square((np.array(range(1, array_x.shape[1]+1)))*array_x+9.360065857825683), axis=1) |
2.3229134290577864+np.prod(4.814336933170374*array_x, axis=1)+10*(np.sin(2*np.pi*2.7366282617721165+np.prod(9.549044054874377*array_x, axis=1))) |
np.square(10*(np.mean(np.sqrt(abs(4.9251046326035715))+9.351995185126107*array_x, axis=1))) |
np.mean(5.887057154271622-np.exp(array_x-(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T))+5.163168062665856-(np.array(range(1, array_x.shape[1]+1)))-np.log(abs(np.sin(2*np.pi*6.554688855190141)+(np.dot(array_x, np.array([[0.7219544444050272, 0.998810293039008], [0.4873545287286736, 0.1895749713278364]]))))), axis=1) |
np.mean(np.square(2.0558682951337195)+8.67608333454873*array_x*array_x*6.056320505273814/4.635831954426083, axis=1) |
np.mean(np.sqrt(abs(np.log(abs(4.360344371154275))-array_x))*10*(1.2911003713922184*array_x-5.9595809651326626)/np.exp(array_x)+9.66947712987976, axis=1)+np.sin(2*np.pi*np.mean(np.sqrt(abs(np.log(abs(2.205263052642713))-array_x))*10*(3.506712715420975*array_x-8.970964000111948)/np.exp(array_x)+1.802959019881507, axis=1)) |
np.amax(array_x+7.952969627125503*8.531600793026424*array_x+8.539378964306252-array_x+5.615012114970709/3.809030675206695, axis=1) |
np.mean(3.7401561686713003-np.exp(np.exp(array_x))-3.8337199014618166*4.911485997113729*abs(3.1476945996658374), axis=1) |
np.mean(np.exp(np.square(np.square((np.array(range(1, array_x.shape[1]+1)))*array_x/5.2062914886036005)+2.4077384755286677)), axis=1) |
np.square(9.48117363888657)-np.square(np.amax(9.061364518283222-array_x, axis=1)) |
np.mean(np.sqrt(abs(10*(6.763074558132622)))*np.log(abs(array_x-1.7556128070627115))+np.log(abs(np.sin(2*np.pi*3.383305229597621))), axis=1)+10*(np.sin(2*np.pi*np.mean(np.sqrt(abs(10*(1.3197056841458261)))*np.log(abs(array_x-7.7305494803956485))+np.log(abs(np.sin(2*np.pi*9.314114873741813))), axis=1))) |
np.mean(4.068822167545079+10*(np.exp((np.array(range(1, array_x.shape[1]+1)))*array_x-(np.dot(array_x, np.array([[0.3003091220598755, 0.9664984726334905], [0.2288601612473159, 0.37373050283412945]]))))-(np.array(range(1, array_x.shape[1]+1)))*array_x+1.0879413884115283), axis=1) |
np.mean(np.log(abs(np.sqrt(abs(7.930654956984172))))+array_x-np.square(6.26756743575178), axis=1)+10*(np.sin(2*np.pi*np.mean(np.log(abs(np.sqrt(abs(3.209837077172029))))+array_x-np.square(7.66601832097239), axis=1))) |
np.sum(np.exp(5.117361996796077/np.round(5.480807158053057)+array_x), axis=1) |
np.mean(10*(array_x+8.069428961605293/abs(np.sin(2*np.pi*1.7231640948352833))-np.exp(array_x)), axis=1) |
np.mean(np.round(np.round(4.895165086177094))+5.05688359500395*np.square(array_x), axis=1) |
np.mean(array_x+2.690429075952213-8.324024166750426/3.531456803748367*7.57577871395277*3.830231911499288, axis=1)+10*(np.sin(2*np.pi*np.mean(array_x+7.563052694259575-1.8407915864500888/8.7059294486506*4.607116716840434*6.428512657993505, axis=1))) |
np.mean(-(array_x+2.8459706500549258)*9.970512621777576, axis=1) |
np.square(np.square(np.sum(np.square(np.sin(2*np.pi*8.923850896699559-array_x)), axis=1))+np.square(3.7069558416138504)) |
np.mean(array_x+1.1348457996088963/4.639879934165137-abs(np.square(array_x*1.2025837697972146*array_x+4.910076238907916)), axis=1) |
np.sum(-(3.7671864687082017+np.sqrt(abs(np.sin(2*np.pi*1/(np.round(1/(array_x))))))), axis=1)+10*(np.sin(2*np.pi*np.sum(-(7.121864241550887+np.sqrt(abs(np.sin(2*np.pi*1/(np.round(1/(array_x))))))), axis=1))) |
np.log(abs(np.prod(np.exp(np.cos(2*np.pi*array_x)/9.473016668855275-9.228434879770703*array_x), axis=1)))+np.sin(2*np.pi*np.log(abs(np.prod(np.exp(np.cos(2*np.pi*array_x)/2.7939800964248525-2.069828992373623*array_x), axis=1)))) |
np.exp(np.exp(1.7407257199003998))*np.sum(array_x, axis=1)-3.3965490408297194 |
np.mean(np.exp(abs(5.221538062268131*array_x-9.715970297770012)), axis=1) |
10*(np.log(abs(8.557281641802517))-np.prod(np.square(array_x)+np.exp(7.950629137306154), axis=1)) |
np.exp(array_x[:,0]+4.876768543268047-np.cos(2*np.pi*np.sum(array_x, axis=1))) |
10*(np.mean(np.cos(2*np.pi*np.sin(2*np.pi*array_x+8.941950862293286)-8.631858485089005-(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)), axis=1)*np.sum(2.6941667557078866-np.cos(2*np.pi*array_x)/abs(1.0620120692379467), axis=1)) |
np.mean(np.square(4.226925806540338-np.cos(2*np.pi*np.square(np.exp(array_x)))*np.round(2.1818687041737976+np.round(1.7766286035080479-np.round(array_x)))), axis=1) |
np.mean(np.square(np.cumsum(abs((np.array(range(1, array_x.shape[1]+1)))*array_x)*5.945959152051081, axis=1)+np.square(np.round(np.exp(np.cos(2*np.pi*(np.array(range(1, array_x.shape[1]+1)))*array_x))))), axis=1) |
np.round(2.4005044587924815)-np.prod((np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)-array_x, axis=1)+array_x[:,0]+np.sum(10*(5.990226159750478-array_x), axis=1)+np.sin(2*np.pi*np.round(7.9594857388824245)-np.prod((np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)-array_x, axis=1)+array_x[:,0]+np.sum(10*(9.011256342678118-array_x), axis=1)) |
np.exp(np.amax(array_x+1/(5.826418396866755)+array_x, axis=1)) |
np.mean(np.exp(1.4437321371472005-array_x*10*(array_x)+2.6666062217542437), axis=1)+np.sin(2*np.pi*np.mean(np.exp(1.4942083464449294-array_x*10*(array_x)+2.258655729052008), axis=1)) |
np.mean(np.exp(array_x)/np.exp(6.823686141413455-8.744543193568445-(np.dot(array_x, np.array([[0.9336358350615495, 0.6713679857994368], [0.9606109700098895, 0.15281990449063976]])))/2.4947059172451787), axis=1) |
np.mean(np.round(np.square(np.exp(np.sqrt(abs(array_x))+1.6478265592042982)))-(np.dot(array_x, np.array([[0.2638841299512219, 0.5490790903947781], [0.4338796851599309, 0.9750087849046001]])))+2.0454927598633015, axis=1) |
5.816994834646193-np.mean(7.212670110857909*array_x, axis=1)+np.sin(2*np.pi*1.0763988942863603-np.mean(4.863590498090865*array_x, axis=1)) |
np.mean(np.square(np.square((np.array(range(1, array_x.shape[1]+1)))*array_x)*(np.array(range(1, array_x.shape[1]+1)))*array_x)*5.520060868273235+np.square(abs(2.017245179051877)), axis=1) |
np.mean(np.square(np.square(6.59808313179456-np.cumsum((np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T), axis=1)*np.cumsum((np.dot(array_x, np.array([[0.6250867850951487, 0.2324673278612861], [0.7806889105651079, 0.23765430331713777]]))), axis=1)))/2.340785205744832/abs((np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)-9.293779195877702)/np.square(array_x-2.4758618498563476), axis=1) |
np.mean(abs(np.square(np.log(abs(8.389237320855905))*np.cos(2*np.pi*array_x*(np.array(range(1, array_x.shape[1]+1))))+2.2949630793198614)+array_x*(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)/np.cos(2*np.pi*3.1681307174544893)), axis=1) |