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np.mean(1/(4.970341764848884-array_x-8.848424642020744+array_x*7.608167073567662), axis=1)+np.sin(2*np.pi*np.mean(1/(9.0795618970824-array_x-4.031974940292869+array_x*6.153068936047689), axis=1)) |
np.square(np.sum(np.square(7.321876959880516)+array_x/-(abs(1/(np.cos(2*np.pi*9.678035848127111)-array_x))), axis=1)) |
np.exp(9.94364753708573+10*(np.sum(abs(np.cos(2*np.pi*array_x))/7.818156968188811, axis=1)))+np.sin(2*np.pi*np.exp(5.712916609835303+10*(np.sum(abs(np.cos(2*np.pi*array_x))/1.3799138547110772, axis=1)))) |
np.mean(7.408634584747669*array_x-7.1463071014417565, axis=1) |
np.mean(np.square(4.707122832966299-np.square(np.cos(2*np.pi*(np.array(range(1, array_x.shape[1]+1)))*array_x/4.594271120916552))), axis=1) |
np.mean(np.cos(2*np.pi*-(np.sin(2*np.pi*10*(array_x))))-6.364514090585007*np.sqrt(abs(np.round(9.077987728029198+array_x+1.3040733712081152))), axis=1)+np.sin(2*np.pi*np.mean(np.cos(2*np.pi*-(np.sin(2*np.pi*10*(array_x))))-2.5153512750520144*np.sqrt(abs(np.round(7.2845632413613295+array_x+1.5948394519693452))), axis=1)) |
np.square(np.square(abs(np.round(9.698517782565595)-np.mean(array_x, axis=1)-np.sum(9.954128124652392-np.sqrt(abs(array_x)), axis=1)))) |
np.mean((np.dot(array_x, np.array([[0.2294691006239491, 0.4101231948601155], [0.6447355390162899, 0.9046645954404887]])))-8.291555180533248+6.415803926293429-np.cos(2*np.pi*8.28608162028176)+np.sin(2*np.pi*np.round(np.sin(2*np.pi*7.2077892893358095))*10*(np.sqrt(abs(array_x)))), axis=1)+10*(np.sin(2*np.pi*np.mean((np.dot(array_x, np.array([[0.25072778858286104, 0.9433504118345563], [0.22858770654780491, 0.2697074344815238]])))-5.298967587220603+7.363809678475162-np.cos(2*np.pi*1.9084439660568981)+np.sin(2*np.pi*np.round(np.sin(2*np.pi*4.85705106427271))*10*(np.sqrt(abs(array_x)))), axis=1))) |
np.mean(np.sqrt(abs(array_x+(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)-7.1568693904424165))-array_x-(np.dot(array_x, np.array([[0.8073663196057409, 0.4974696233974929], [0.6000716290962015, 0.31070882210337003]])))-2.8539087210923424-5.501148730352395+np.square(8.01952839039101)+array_x, axis=1)+10*(np.sin(2*np.pi*np.mean(np.sqrt(abs(array_x+(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)-3.0985202057252077))-array_x-(np.dot(array_x, np.array([[0.6866486224517273, 0.7772988835570813], [0.3243000279749779, 0.6346518915876845]])))-7.6793929488039065-1.5425912224175227+np.square(4.502889913721862)+array_x, axis=1))) |
np.mean(10*(np.cos(2*np.pi*array_x+array_x*(np.array(range(1, array_x.shape[1]+1))))-np.sqrt(abs(5.205443808031097))), axis=1)+np.sin(2*np.pi*np.mean(10*(np.cos(2*np.pi*array_x+array_x*(np.array(range(1, array_x.shape[1]+1))))-np.sqrt(abs(9.917394436574668))), axis=1)) |
np.mean(np.log(abs(np.sqrt(abs(array_x-9.60123582017615+np.square(array_x)))-np.square(7.838902582810937*array_x))), axis=1)+np.sin(2*np.pi*np.mean(np.log(abs(np.sqrt(abs(array_x-9.753368820178492+np.square(array_x)))-np.square(5.99325009349972*array_x))), axis=1)) |
np.mean((np.dot(array_x, np.array([[0.5527226011813658, 0.14640020161047773], [0.022483477924760575, 0.1350845185938695]])))*8.238171897715766+5.978145755501536-np.square((np.dot(array_x, np.array([[0.9085557731821303, 0.44681677116600294], [0.03640489211821529, 0.15771694583282725]])))-1.6086598831951848)+2.769350014818638*-(1.3636929340937485), axis=1) |
np.round(np.mean(np.exp(6.646669053472066-array_x+2.801555824753963*np.cos(2*np.pi*1.5980996740354*array_x)), axis=1)) |
np.mean(np.cos(2*np.pi*np.sqrt(abs(np.exp(np.sqrt(abs(4.562998351496355)))))/1.3532977833978486-array_x*(np.dot(array_x, np.array([[0.9275764180706535, 0.4090375950214359], [0.7411722179050384, 0.2135238980098484]])))/np.cos(2*np.pi*np.log(abs(1.0483843192705744-array_x))-np.sqrt(abs(np.exp(9.110012109089425))))), axis=1)+10*(np.sin(2*np.pi*np.mean(np.cos(2*np.pi*np.sqrt(abs(np.exp(np.sqrt(abs(3.9193017461870343)))))/5.040806739542687-array_x*(np.dot(array_x, np.array([[0.9993921389312246, 0.5120262305931577], [0.34360034353194513, 0.453256600952762]])))/np.cos(2*np.pi*np.log(abs(3.1409036869321514-array_x))-np.sqrt(abs(np.exp(9.646766246214161))))), axis=1))) |
np.mean(np.square(1.2194873475646137+np.round(np.sin(2*np.pi*array_x)*8.681103495663493+array_x+array_x*4.873328604235791)), axis=1) |
np.mean(abs(3.890334011097805*7.586635982923749-array_x-(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)*7.539528771772688), axis=1) |
np.mean(10*(np.square(8.687915875658243)+np.square(array_x)+10*(7.2736695664435596)+1.4775968115207547+4.938934262411665/(np.array(range(1, array_x.shape[1]+1)))), axis=1) |
np.mean(8.228537041129428+array_x+np.exp(9.741900792479347)-array_x/2.288391435316564-array_x*9.441862941868369*(np.dot(array_x, np.array([[0.531932651554288, 0.5640786491123481], [0.3676005778819994, 0.013856147488051085]])))*array_x*array_x-2.452308478531108, axis=1) |
np.mean(np.sqrt(abs(4.022041358480142))-8.291344768626447+6.380855182377803*(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)*8.822728614054883+array_x-(np.dot(array_x, np.array([[0.45273190710684597, 0.07160855723826509], [0.27095334981272656, 0.6786986986581776]]))), axis=1) |
np.sum(np.sqrt(abs(np.sqrt(abs(1/(np.cos(2*np.pi*np.cumsum(array_x, axis=1))))))), axis=1) |
-(np.round(np.sum(4.555429901972309+(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)-4.591076296568403/(np.array(range(1, array_x.shape[1]+1)))*array_x, axis=1))) |
np.mean(np.exp(2.6079033583297093*array_x)-np.log(abs(np.square(3.0588479537707265)))*array_x, axis=1) |
np.mean(8.96064011591902-(np.dot(array_x, np.array([[0.021456756652627362, 0.5307493265445016], [0.6112976884382593, 0.48177352736147305]])))*array_x*10*(5.627277688349565)+array_x, axis=1) |
np.mean(10*(np.cos(2*np.pi*abs(6.626235348349206/(np.array(range(1, array_x.shape[1]+1)))*array_x))), axis=1) |
np.mean(np.cumsum((np.dot(array_x, np.array([[0.5829302031299052, 0.2449965477059891], [0.9364568873566526, 0.7689794342073186]])))-np.log(abs(-(7.6875577788903)))+6.498176369498692, axis=1)/np.log(abs(8.921280109377903))-10*(9.420696335575375-(np.dot(array_x, np.array([[0.043703669703914594, 0.014461905820148724], [0.031383883418842684, 0.905752476208491]]))))-(np.dot(array_x, np.array([[0.673505669614038, 0.6083530386525322], [0.6435137432355509, 0.1735160693241582]]))), axis=1) |
np.mean(2.8343320670871712+array_x/np.round(9.460996521651284)/3.9907467657320033+7.380171437342893*np.cos(2*np.pi*array_x), axis=1) |
np.mean(np.square(2.7424035908551883*6.441459126140926+array_x*array_x), axis=1) |
np.mean(abs(6.835664570767889/np.sqrt(abs(1.1705007134101528-array_x-(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)))), axis=1) |
np.round(np.mean(array_x-4.941684249109973*8.860959951173639-8.319754983225138-np.cos(2*np.pi*8.98368323323566)*np.cos(2*np.pi*array_x)*abs(8.749919436769389), axis=1)) |
np.mean(10*(np.sqrt(abs(1.5416354781726906))+array_x)+6.734666520474687, axis=1) |
np.mean(4.384493317953364-(np.dot(array_x, np.array([[0.33363009025943235, 0.6815560190212276], [0.1181463472961628, 0.8471308543488459]])))*7.940211544492528/np.round(np.cos(2*np.pi*6.146069487907-array_x))-8.521970679947835, axis=1) |
np.mean(np.exp(4.455538542576707*np.sin(2*np.pi*(np.dot(array_x, np.array([[0.13441941579164007, 0.15740249591009192], [0.2499940787208399, 0.05970078658071998]])))))-2.722971353229626-array_x-(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)*1.1733090843499525*7.121389582331123, axis=1) |
np.mean(np.exp(array_x+(np.dot(array_x, np.array([[0.02042280916133543, 0.6412259365332724], [0.5113411219944336, 0.3401715634892234]])))+5.887805013637582)-np.sqrt(abs((np.array(range(1, array_x.shape[1]+1)))))/5.7344442411559085-3.359532585438993, axis=1)+np.sin(2*np.pi*np.mean(np.exp(array_x+(np.dot(array_x, np.array([[0.08515150884704958, 0.972774851550623], [0.6409665808725509, 0.1446194064015064]])))+2.513786654523864)-np.sqrt(abs((np.array(range(1, array_x.shape[1]+1)))))/2.648437745667775-7.0398012400781385, axis=1)) |
np.prod(np.sqrt(abs(array_x)), axis=1)-4.7262477577428665*array_x[:,0]-np.log(abs(1.6109710748824297)) |
np.sum(np.cos(2*np.pi*abs(8.518917596592791+np.exp(np.square(4.972831674128585*array_x)))), axis=1) |
9.807565919713815*np.prod(array_x, axis=1)+2.6702984767417326 |
np.mean(np.log(abs(8.525127541169766/np.sin(2*np.pi*np.square(abs(np.round(array_x+9.46309162480322)-array_x))))), axis=1) |
np.mean(np.round(np.square(np.square(np.sqrt(abs(np.exp((np.dot(array_x, np.array([[0.27988731754160934, 0.5598045456446151], [0.9079510858366919, 0.5535347105527166]])))-7.0591337591312335)))-7.270488095769005))+np.sqrt(abs(np.exp(8.312906671186003-array_x)))-np.sqrt(abs(1.3155706097727313-array_x))), axis=1) |
np.mean(1/(np.square(2.175099416923551))+np.sin(2*np.pi*np.square(1/(abs(np.sin(2*np.pi*np.exp(array_x+array_x)))))), axis=1)+10*(np.sin(2*np.pi*np.mean(1/(np.square(4.48494322345444))+np.sin(2*np.pi*np.square(1/(abs(np.sin(2*np.pi*np.exp(array_x+array_x)))))), axis=1))) |
np.prod(2.574000652089722-np.sqrt(abs(10*(array_x)))+1.2701777377204857, axis=1) |
np.mean(np.square(np.round((np.array(range(1, array_x.shape[1]+1)))*array_x))+2.505728546816146/1.9437916862368811/4.436011141727093+(np.array(range(1, array_x.shape[1]+1)))*array_x*np.sqrt(abs(1.8061598319711827)), axis=1) |
np.mean(np.cumsum(np.log(abs(np.square(np.sin(2*np.pi*np.sin(2*np.pi*9.761653018231373)+(np.array(range(1, array_x.shape[1]+1)))*array_x/5.7432186979688415*np.exp(4.5656132228802235)+(np.array(range(1, array_x.shape[1]+1)))*array_x)))), axis=1), axis=1) |
np.mean(-((np.array(range(1, array_x.shape[1]+1)))/2.3856112074820093+(np.dot(array_x, np.array([[0.9986407887737854, 0.9125020587773566], [0.9575081508812016, 0.2694420634871417]])))*(np.array(range(1, array_x.shape[1]+1)))*array_x*2.3548964200965976*(np.array(range(1, array_x.shape[1]+1)))*array_x), axis=1) |
np.mean(np.exp(7.747722716832007+array_x+np.exp(np.sin(2*np.pi*5.998936242134278))), axis=1) |
np.mean(5.874493611969457-abs(array_x)-np.sqrt(abs(6.320783158175112))+(np.dot(array_x, np.array([[0.857917740652936, 0.8894156766546861], [0.2527126609124213, 0.23898187309551655]])))*5.823578194723277, axis=1)+10*(np.sin(2*np.pi*np.mean(2.4514176076759853-abs(array_x)-np.sqrt(abs(9.649607851617342))+(np.dot(array_x, np.array([[0.5940701240432777, 0.4184581251023979], [0.6083718743197397, 0.11643081451050263]])))*2.661584134377712, axis=1))) |
np.mean(np.square(np.sqrt(abs(np.cos(2*np.pi*np.cos(2*np.pi*np.square(np.sqrt(abs(array_x))+2.97773834215228)))))-np.cumsum((np.dot(array_x, np.array([[0.2091714931388079, 0.8405015094222379], [0.03272180049667639, 0.8850811296303983]]))), axis=1)/10*(np.square(abs(5.736932594751588)))), axis=1) |
np.mean(np.cos(2*np.pi*array_x)-array_x-np.log(abs(3.587188543802792))+10*(10*(array_x/9.787965117874753)+8.960460187442582)-1.3256262259411575, axis=1) |
np.mean(np.square(np.square(np.round((np.array(range(1, array_x.shape[1]+1)))*array_x)-9.298144045629407-(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)/9.445541883577729/np.round(2.2986541955518343))), axis=1) |
np.mean(np.exp(9.811096982146337)+np.square(8.959653572266568+array_x)*array_x+np.sqrt(abs(array_x))/np.cos(2*np.pi*3.7369150497950665-(np.array(range(1, array_x.shape[1]+1)))+np.cumsum(array_x, axis=1)), axis=1) |
np.sum(np.sin(2*np.pi*np.square(array_x-(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T))+(np.dot(array_x, np.array([[0.23108298217424184, 0.30055096786500046], [0.284198296007109, 0.6350665529754732]])))*6.117562557731247+array_x-(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)-2.62563288053314), axis=1) |
np.mean(7.990958461177819/np.cos(2*np.pi*np.cos(2*np.pi*np.sqrt(abs(array_x))))+np.square(abs((np.dot(array_x, np.array([[0.026883578256621465, 0.4526528782159097], [0.8447004868826872, 0.828463544100762]])))*3.2814873131607762+2.8996319370081736*np.sin(2*np.pi*6.618854113720408))), axis=1) |
np.mean(1/(np.log(abs(-(7.549085305144732)))-10*((np.dot(array_x, np.array([[0.8798060525965661, 0.23392070178970692], [0.366929912472731, 0.4770417235963095]])))))+(np.dot(array_x, np.array([[0.27045734139818967, 0.5742224415113832], [0.9247965326158194, 0.9180941276958849]])))/np.exp(2.341366418176425), axis=1) |
np.mean(np.exp(1.3521709807091478)/np.cos(2*np.pi*np.sin(2*np.pi*array_x)+array_x), axis=1)+10*(np.sin(2*np.pi*np.mean(np.exp(3.4515042326326872)/np.cos(2*np.pi*np.sin(2*np.pi*array_x)+array_x), axis=1))) |
np.mean(np.square(4.653361995750766-array_x*3.0748700826859716*array_x*array_x), axis=1) |
np.mean(9.295082086879363+(np.array(range(1, array_x.shape[1]+1)))*np.sin(2*np.pi*array_x)-np.square(4.0793150416728805/(np.array(range(1, array_x.shape[1]+1))))-7.829858582756046+array_x*8.270249626546137, axis=1) |
np.mean(np.square(np.exp(np.log(abs(np.sqrt(abs(np.sin(2*np.pi*np.log(abs(np.log(abs(1.6545581557668254)))))))))+np.log(abs(array_x-(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)-4.458802899455544)))), axis=1) |
np.mean(10*(3.4745601836046136)+np.sqrt(abs(array_x))*9.999532422401208, axis=1) |
np.mean(3.767648645419777/(np.array(range(1, array_x.shape[1]+1)))*array_x-4.920490308453191/abs((np.array(range(1, array_x.shape[1]+1)))*array_x-np.cos(2*np.pi*7.754345228743781)), axis=1) |
np.sum(np.square((np.dot(array_x, np.array([[0.295107504430445, 0.488962723493197], [0.6864403316601491, 0.31197063958961424]])))+7.009655076205273), axis=1)-np.sqrt(abs(np.round(7.103347349633081))) |
np.exp(np.cos(2*np.pi*np.mean(array_x, axis=1)+4.271824168740451))-6.684960260452349+np.sin(2*np.pi*np.exp(np.cos(2*np.pi*np.mean(array_x, axis=1)+8.49713509816962))-6.134099236674957) |
np.mean(np.sin(2*np.pi*10*(3.554106190786311))+array_x*7.589563934970883+array_x, axis=1)-array_x[:,0]+2.6476147703799984+np.sin(2*np.pi*3.896721221116241) |
np.exp(9.39120123370914-np.round(np.mean(4.8406034733515035+array_x, axis=1))/2.141756085711181)+np.sin(2*np.pi*np.exp(5.992075975734739-np.round(np.mean(9.963917872213475+array_x, axis=1))/5.143634450258839)) |
np.mean(np.sqrt(abs(-(8.011872014929626)))+array_x*7.468832286844836-array_x-6.4710680569395675, axis=1) |
np.mean(array_x+2.5956857241919966-8.202518170532766-np.sin(2*np.pi*2.240188966776107)-6.778240611200357+np.square(array_x-9.539508145195136-6.015393652446932), axis=1)+np.sin(2*np.pi*np.mean(array_x+8.553480573554122-1.036622003312695-np.sin(2*np.pi*2.4207434530093943)-6.390508188469276+np.square(array_x-2.1787438231066814-7.386160180509685), axis=1)) |
np.round(np.mean(np.cos(2*np.pi*4.694044016394149-np.cos(2*np.pi*np.cumsum(array_x, axis=1)))/abs(np.exp(-(np.square(2.972838526323535)))), axis=1)) |
np.sum(np.sqrt(abs(1.3326208345450459))+(np.array(range(1, array_x.shape[1]+1)))*4.2791215034772385*array_x-array_x+4.6431993644525775/np.log(abs(2.8798264264721634+np.sin(2*np.pi*10*(array_x/8.112891060478773)))), axis=1) |
np.mean(np.cos(2*np.pi*4.778464672653781-array_x)+np.exp(4.296176644806625)+array_x, axis=1)+10*(np.sin(2*np.pi*np.mean(np.cos(2*np.pi*6.673255312809499-array_x)+np.exp(1.5143340023279832)+array_x, axis=1))) |
np.mean(np.cos(2*np.pi*2.4553296451260707+np.square(array_x))*np.exp(array_x/8.413223806179271)+np.cos(2*np.pi*5.496453754198323), axis=1)+10*(np.sin(2*np.pi*np.mean(np.cos(2*np.pi*1.2255813878738557+np.square(array_x))*np.exp(array_x/3.6471800898465974)+np.cos(2*np.pi*3.8800322323135608), axis=1))) |
np.sin(2*np.pi*7.468640416727546-np.sum(array_x+8.75156871070927+(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T), axis=1)*8.562656232712241)/7.352367108482861+10*(np.sin(2*np.pi*np.sin(2*np.pi*4.213244673834585-np.sum(array_x+9.852947858594558+(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T), axis=1)*2.7443394413326825)/7.782485447461014)) |
np.mean(np.exp(9.700533333740031-(np.dot(array_x, np.array([[0.39010362591934666, 0.6181957014202889], [0.3002467291875085, 0.23521773238577282]]))))-np.sqrt(abs(np.log(abs(1/(1.3748642211661952-array_x))))), axis=1) |
1/(abs(np.sum(np.log(abs(np.square(np.exp(array_x*1.1774659670853964/9.482344903321689)/4.309912106280068)))+array_x*5.279539337263095, axis=1))) |
np.mean(10*(np.log(abs(np.round(np.cos(2*np.pi*5.849006689837826)+array_x)))+np.exp(7.663762289231582)), axis=1) |
4.7072500473357*np.square(np.square(np.round(np.square(5.640887043561765)/np.sum(array_x+4.52718676854248, axis=1)))) |
np.mean(6.359676666057083*np.square(np.cos(2*np.pi*-(6.334724774061576)-array_x-(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)))+abs(array_x-(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)/2.5432241880233484), axis=1) |
np.square(np.mean(array_x-(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T), axis=1)+3.963304555134953+6.4815419566227295) |
np.mean(3.5666689059202072/np.square(np.log(abs(4.837641914953265))-array_x), axis=1) |
np.mean(np.round(np.square(5.296470543732438-(np.dot(array_x, np.array([[0.777261750644922, 0.0053145631578486174], [0.20343270811761005, 0.8443673494669679]])))-7.607821367872544-5.885080617200065)), axis=1) |
-(np.sum(np.square(np.square(np.exp((np.dot(array_x, np.array([[0.21449691344361466, 0.4936628999245164], [0.5753895113391982, 0.9484223558032924]])))-array_x/8.856856027597857*np.sqrt(abs(np.cumsum(array_x, axis=1)))))), axis=1)) |
np.log(abs(np.mean(10*(array_x*array_x-1.7470499047337211+1.615522665585448), axis=1))) |
np.mean(1/(np.sin(2*np.pi*abs(5.602659275270269)-7.107125677114596*array_x*array_x)), axis=1) |
np.square(np.sum(1.6749789378682718-(np.dot(array_x, np.array([[0.17300934099098442, 0.5507577751434946], [0.2268262407106345, 0.8179009690942429]]))), axis=1)+np.round(5.819398658961478)+1/(1/(6.854576282308161)-np.amax(1/((np.dot(array_x, np.array([[0.9782447814682804, 0.8697670618926643], [0.6153888846076345, 0.8843971761062644]])))), axis=1))) |
10*(np.sum(2.879465399218216-(np.array(range(1, array_x.shape[1]+1)))-np.round(5.010355976212325)*array_x, axis=1)*3.9926685558165134)/np.sqrt(abs(np.cos(2*np.pi*np.sin(2*np.pi*np.mean((np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)*4.010933869772863, axis=1))))) |
np.mean(8.366177617573205-array_x*7.274207843092963, axis=1) |
np.round(np.mean(np.square(np.round(8.213602022122888)+np.round(array_x)+(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)*(np.dot(array_x, np.array([[0.8282772054476393, 0.854937149021798], [0.3367386113375328, 0.8769549934874358]])))+array_x-5.168806623910994), axis=1)) |
np.mean(abs(np.square(array_x-(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)/3.163368586206512+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)-6.561082029366006/np.log(abs(9.80706846646976)))), axis=1) |
np.mean(4.282260222192589-2.339208949455706*array_x+np.square(np.square(np.sqrt(abs(array_x))+array_x)), axis=1)+np.sin(2*np.pi*np.mean(6.691096695492885-2.6234032997969132*array_x+np.square(np.square(np.sqrt(abs(array_x))+array_x)), axis=1)) |
np.mean(np.sin(2*np.pi*array_x-8.34373173479215)*8.242509330412338/np.sqrt(abs(array_x-1.6339460399090782+abs(6.5144246414146325))), axis=1) |
np.prod(7.758494632692299*array_x*5.5200748516537725-array_x+np.square(np.log(abs(8.922261682146425))-(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)*1.006317442253241/(np.array(range(1, array_x.shape[1]+1)))), axis=1) |
np.sin(2*np.pi*np.sum(8.603617544530117-array_x, axis=1)-np.sin(2*np.pi*7.553818106372026))*np.prod(array_x-6.373322321945955+5.945938177666331+(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)*8.080375135360182, axis=1)+np.sin(2*np.pi*np.sin(2*np.pi*np.sum(4.2194784887379-array_x, axis=1)-np.sin(2*np.pi*3.795744349941853))*np.prod(array_x-7.97699930616495+4.257582609788784+(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)*7.902483232786581, axis=1)) |
np.round(np.mean(np.square(abs(4.760070558775314+array_x*2.9001436205567006)), axis=1)) |
np.mean(np.cos(2*np.pi*(np.array(range(1, array_x.shape[1]+1)))+array_x-6.764266113975243-np.exp(np.square(7.465817828241133)))-8.472617157956089-8.237556288746436*array_x, axis=1) |
np.round(np.mean(10*(-(7.9364603290023625-array_x*2.528374334658123)*array_x/(np.array(range(1, array_x.shape[1]+1)))+6.064279652277496+1.749887375021476)*np.exp(np.sqrt(abs(np.cumsum(np.sqrt(abs(array_x))/1.132893864147809, axis=1)))), axis=1)) |
abs(np.sum(6.849569766564763-array_x, axis=1))+10*(np.sin(2*np.pi*abs(np.sum(1.6482825448987892-array_x, axis=1)))) |
np.mean(np.cos(2*np.pi*array_x+array_x)+np.log(abs(7.1841695280684545)), axis=1)+10*(np.sin(2*np.pi*np.mean(np.cos(2*np.pi*array_x+array_x)+np.log(abs(3.5420093858746577)), axis=1))) |
np.mean(np.cumsum(np.square(np.round(np.cos(2*np.pi*5.547119073466774))-np.square(array_x+6.892182921295552)), axis=1), axis=1) |
np.mean(np.exp(4.516792816065628*array_x-(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)-2.437202105363846/array_x-(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)+9.260532250017794)/np.exp(np.square(array_x-(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)))-8.103798645032173+array_x-(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T), axis=1) |
np.mean((np.dot(array_x, np.array([[0.22352132807172498, 0.13476538234885982], [0.3280508148731536, 0.5406746797550342]])))/5.705081768300756-np.square(abs(8.171758947637528))*(np.array(range(1, array_x.shape[1]+1)))+10*(5.8207918095500855/9.240161933154539-(np.array(range(1, array_x.shape[1]+1)))*array_x), axis=1) |
np.mean(np.sqrt(abs(3.083285885257489+np.square(array_x+3.2554197316313753)))-np.square(np.cos(2*np.pi*array_x))+array_x+abs((np.dot(array_x, np.array([[0.7583617210013645, 0.7844850745807038], [0.3665374104547878, 0.6598076415223513]])))*9.041109686628845), axis=1) |
np.mean(np.square(np.sin(2*np.pi*array_x)-abs(6.236196909976529))+7.328335444765326, axis=1)+np.sin(2*np.pi*np.mean(np.square(np.sin(2*np.pi*array_x)-abs(1.966237634541524))+4.165225339421244, axis=1)) |
np.mean(9.028088603109133+np.sqrt(abs(array_x))*5.194984577290881+array_x*7.828289111582775*np.cos(2*np.pi*4.1397871195832385), axis=1)+np.sin(2*np.pi*np.mean(5.617383710572641+np.sqrt(abs(array_x))*5.80992389034934+array_x*1.1253535832065964*np.cos(2*np.pi*6.338484923877749), axis=1)) |