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np.sum(3.849451391340417+np.round(array_x)*np.cumsum(array_x, axis=1)/1.1056944017021257+array_x/9.488778107849173+array_x, axis=1) |
np.square(np.mean(4.712086200761841+array_x+np.square(8.987807195082205+array_x), axis=1)) |
np.mean(7.586319116207441+array_x-(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)*np.square(3.074946370099584)-array_x, axis=1)+np.sin(2*np.pi*np.mean(4.012509745743803+array_x-(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)*np.square(5.27931304698028)-array_x, axis=1)) |
np.mean(4.152805292896378*np.square(array_x+2.3371247431498885)+(np.dot(array_x, np.array([[0.06344140851246283, 0.7256559447888742], [0.5301335722949575, 0.7705822155764289]])))/6.902549141663177, axis=1) |
np.mean(array_x+7.117987775533531+np.cos(2*np.pi*np.square(9.35464960561027)*(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T))*abs(np.sqrt(abs(array_x/9.901204299186816))+4.66593618185186+array_x), axis=1)+np.sin(2*np.pi*np.mean(array_x+2.556933037930918+np.cos(2*np.pi*np.square(2.1234860761694536)*(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T))*abs(np.sqrt(abs(array_x/1.2780666886914958))+6.221680869254808+array_x), axis=1)) |
np.mean(10*(np.cos(2*np.pi*8.560719173161797+array_x))-np.log(abs(1.6539499387636196))/np.exp(np.sin(2*np.pi*array_x)+array_x)*np.sqrt(abs(5.28424253231172)), axis=1) |
np.sqrt(abs(np.sum(np.round(4.192918938878444/np.exp(array_x-7.050679891178589))-3.4869657949972086-3.78588967525491*(np.dot(array_x, np.array([[0.7827018761224666, 0.8449715853892028], [0.4843000389826575, 0.510069937231239]]))), axis=1))) |
np.mean(np.exp(abs(6.59943797576331-(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)+5.806310262232612)/np.square(1.214068895407592+array_x)), axis=1) |
np.sum(-(1.3472216511563901+np.exp(array_x)), axis=1)-np.round(abs(4.366964147500102))+10*(np.sin(2*np.pi*np.sum(-(5.560351749490962+np.exp(array_x)), axis=1)-np.round(abs(5.9111814296933005)))) |
np.mean(2.2031306669709947*(np.array(range(1, array_x.shape[1]+1)))/5.105793800994619/1.2669350655676435+6.0682681068248705*array_x+abs(np.sin(2*np.pi*np.sqrt(abs(8.955367648351727)))/3.421127299009446+array_x), axis=1) |
np.round(np.prod(np.sin(2*np.pi*1.7282883876607338+(np.dot(array_x, np.array([[0.6652619082885346, 0.5562821372806803], [0.024001824640389025, 0.9179616961337072]]))))-3.9427698788779795-array_x, axis=1))+10*(np.sin(2*np.pi*np.round(np.prod(np.sin(2*np.pi*6.355996557609154+(np.dot(array_x, np.array([[0.7602468316347215, 0.685846767086317], [0.08879664658363917, 0.44338802193203786]]))))-2.5367603827424245-array_x, axis=1)))) |
np.mean(9.542609402001512*array_x-7.687642594268718, axis=1) |
np.mean(np.square(7.256846989829488)*np.log(abs(abs(4.618320632058807)+(np.dot(array_x, np.array([[0.74367212087659, 0.04121730229570275], [0.16314311940303006, 0.23176138292803705]])))))-8.862879754445064, axis=1) |
np.mean(np.square(np.sqrt(abs(4.809500901627381))-array_x-(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)+2.5693794197876754+np.sqrt(abs(np.sqrt(abs(6.2599642359085))))), axis=1) |
np.mean((np.array(range(1, array_x.shape[1]+1)))+2.534924109159831*array_x*6.639969399950202, axis=1) |
np.mean(np.square(abs(array_x-3.9456356181066736+7.903135750996902/6.919229633969056)), axis=1)+np.sin(2*np.pi*np.mean(np.square(abs(array_x-4.120889642992499+3.163627486494752/1.4813661289271818)), axis=1)) |
np.mean(1.6555452304944525-10*(array_x)+np.sqrt(abs(9.821549148097487)), axis=1) |
1/(np.cos(2*np.pi*np.square(np.mean(array_x, axis=1)*4.485882227801149))) |
np.sin(2*np.pi*10*(np.sqrt(abs(np.mean(10*((np.array(range(1, array_x.shape[1]+1)))*np.round(np.cos(2*np.pi*array_x))+6.256369735860833), axis=1)))))+10*(np.sin(2*np.pi*np.sin(2*np.pi*10*(np.sqrt(abs(np.mean(10*((np.array(range(1, array_x.shape[1]+1)))*np.round(np.cos(2*np.pi*array_x))+6.710261735143381), axis=1))))))) |
np.log(abs(np.mean(np.exp(10*(array_x+np.sin(2*np.pi*5.469602805668164)))/6.4870334708794175, axis=1)))+np.sin(2*np.pi*np.log(abs(np.mean(np.exp(10*(array_x+np.sin(2*np.pi*5.605390104299624)))/6.459983628247992, axis=1)))) |
np.mean(np.exp(2.706614736296901+7.568406581891191*(np.dot(array_x, np.array([[0.9048058035514349, 0.0959210478062017], [0.4172783742608137, 0.8306460010342556]])))+1.395474676960278)+1.6187213504952043/abs((np.array(range(1, array_x.shape[1]+1)))+array_x), axis=1) |
np.mean(6.563814224355029-array_x-np.exp(array_x)*6.638341604369283, axis=1) |
np.square(-(np.square(np.round(1.0209970667745512))))*np.amax(7.501642905880289*array_x+8.80280921345112, axis=1) |
np.mean(-(np.sin(2*np.pi*6.408614804641991))/np.sin(2*np.pi*np.exp(array_x+7.924279403626079)), axis=1) |
np.mean(10*((np.dot(array_x, np.array([[0.6084371718689718, 0.07394816295227502], [0.2748718473714047, 0.23185333871637148]])))-3.4207470526040082-(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T))-np.square(np.exp(array_x)), axis=1)+10*(np.sin(2*np.pi*np.mean(10*((np.dot(array_x, np.array([[0.5743780067111739, 0.9485560701379687], [0.8268671273936983, 0.6391757337579301]])))-4.561484721295503-(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T))-np.square(np.exp(array_x)), axis=1))) |
np.exp(np.sin(2*np.pi*7.721898406041818-np.mean(2.6172901777296738-array_x-(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T), axis=1)))-np.round(np.sum(np.square(6.337372386286742)--(9.968688234933976)*array_x-(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)+1.5010333663844442, axis=1)) |
5.38096645257219-np.sum(10*(np.sqrt(abs(array_x*6.208156399562284*np.log(abs(5.400683034939129-array_x))))), axis=1) |
np.round(np.exp(5.588444698049354+np.mean(np.log(abs(array_x)), axis=1))+4.375496136796518) |
np.square(np.sum(np.sin(2*np.pi*np.square(3.2731807688003656-(np.dot(array_x, np.array([[0.1018618203230699, 0.633114702866503], [0.09511436904905468, 0.007843139958276901]])))+np.sin(2*np.pi*np.square(np.exp((np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)))+4.994278255965592))), axis=1)) |
np.round(np.mean(np.exp(5.415902777974717+array_x)-np.sin(2*np.pi*array_x-array_x)-array_x, axis=1)) |
np.mean(8.618043424228958*array_x+7.543275951538878+9.127127630392609*array_x+8.974489753517759, axis=1) |
np.mean(3.028511368494061-(np.dot(array_x, np.array([[0.138660047208777, 0.4592017182151513], [0.3439973013636989, 0.06642761543540388]])))*(np.dot(array_x, np.array([[0.0884319927075421, 0.13983099456290315], [0.014843647531335824, 0.3742176524522346]])))*np.exp(4.5280181750995645)-7.431549043847522, axis=1) |
np.mean(np.square(4.833227702188053)/10*(np.square(np.square((np.array(range(1, array_x.shape[1]+1)))*array_x+10*(3.956650937361915))))+np.square(1/(-(8.662221985139276))), axis=1) |
np.mean(10*(2.344118706515612*(np.array(range(1, array_x.shape[1]+1)))*array_x+2.157483811725765/(np.array(range(1, array_x.shape[1]+1)))*array_x/5.906109171702545+(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)+np.sin(2*np.pi*np.exp(1.176307489958857)), axis=1) |
np.sin(2*np.pi*np.mean(array_x-5.683323665320075-2.964073784063323, axis=1))+10*(np.sin(2*np.pi*np.sin(2*np.pi*np.mean(array_x-7.783801412803238-9.224432242435629, axis=1)))) |
np.round(np.mean(1/(np.log(abs(8.31342975290719*array_x)))+6.248354995518235, axis=1)) |
4.5575539327581875+np.sum(np.sin(2*np.pi*np.sqrt(abs(array_x*3.4680067501722536*array_x))), axis=1)+10*(np.sin(2*np.pi*7.701395942909527+np.sum(np.sin(2*np.pi*np.sqrt(abs(array_x*5.011684671224102*array_x))), axis=1))) |
np.mean(np.square(np.exp(1.5943193516447691))+5.393104753759916/np.cos(2*np.pi*7.895443278373142*array_x*np.sqrt(abs(4.431427305410201))), axis=1) |
10*(10*(4.122526315744741+1.1866630989725224*np.sqrt(abs(np.amax((np.array(range(1, array_x.shape[1]+1)))*array_x, axis=1))))+6.138035861889062) |
np.mean(np.sqrt(abs(np.sqrt(abs((np.dot(array_x, np.array([[0.6559469468604814, 0.2957253468005848], [0.16331726675780978, 0.9954833797614635]])))))+np.exp(array_x)+1.5773311936648362)), axis=1)+10*(np.sin(2*np.pi*np.mean(np.sqrt(abs(np.sqrt(abs((np.dot(array_x, np.array([[0.7598401340503333, 0.1167526559538915], [0.583315933516124, 0.9357365109890029]])))))+np.exp(array_x)+6.679873883505345)), axis=1))) |
3.626184395153911+np.square(np.sum(array_x+array_x-7.241211307487083, axis=1)) |
np.mean(array_x/np.cos(2*np.pi*array_x-7.716707322693178)+1.1634289193456846, axis=1) |
np.mean(np.exp(abs(np.square(3.9296371933950325-array_x-5.96207775173671))-7.11619264571682), axis=1) |
np.mean(np.round(np.log(abs(np.sqrt(abs(10*(7.432311756359316))))))/np.log(abs(9.516832776874269))+array_x-np.sqrt(abs(np.exp(9.80715408392499+array_x))), axis=1) |
np.mean(10*(np.square(1/(8.623527570852914)+4.418027275054975+np.square((np.array(range(1, array_x.shape[1]+1)))*array_x)/2.443875173033481+(np.array(range(1, array_x.shape[1]+1)))*array_x)+7.597584821033517), axis=1) |
np.mean(np.sqrt(abs(np.round(array_x/np.exp(np.sqrt(abs(array_x+7.826521367273246))))))/5.751277231873167+array_x*1.8753663536096197+np.exp(7.205414275046419+array_x), axis=1) |
np.mean(9.45918294072062+array_x*10*(1.7919088903006977)-6.231173516815565, axis=1) |
np.mean(np.square(abs(array_x-2.046671719082621)+8.24016916642997*np.square(3.330695383838408)+3.6439723656970724*array_x*array_x), axis=1) |
abs(10*(-(np.square(10*(9.057347196090925)+np.sum(array_x-(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T), axis=1))*np.log(abs(1.9493755173120797))))) |
np.mean(2.767604821780572/np.cos(2*np.pi*5.363695379177178)+4.944368167232492*np.square(array_x), axis=1) |
np.sum(np.square(np.exp(array_x)+np.sqrt(abs(1.0221103710879353))), axis=1) |
np.mean(7.69688512274413/6.515730125963608-np.cos(2*np.pi*array_x)+8.073004791219468+10*(array_x)*9.118666320245707+10*(array_x-1.2712115102874142), axis=1) |
3.6327463641234825+np.sum(3.3337303150341135*array_x+(np.array(range(1, array_x.shape[1]+1)))+1.9140176183300825-array_x/8.406855352583886, axis=1) |
np.mean(np.square(6.560559990665076+array_x+np.exp(2.911158073619688))*np.exp(4.12167626098069), axis=1) |
np.mean(np.square(10*(np.cos(2*np.pi*array_x/5.170068406729475)))/2.6034152884539155/np.exp(np.sin(2*np.pi*9.173445012116954)), axis=1) |
np.mean(array_x/np.round(4.372556689416925)+5.1219190243481485+(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)+np.exp(array_x*8.763196987212122), axis=1) |
np.mean(10*(8.751056732693444)*np.square(np.exp(array_x*2.671880858916637/(np.array(range(1, array_x.shape[1]+1)))+array_x)), axis=1) |
np.mean(10*(10*(3.7725410039207117*(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)/2.0046838292782994*np.round(np.exp(2.584015143635579-array_x)*array_x)-6.389776991489537)), axis=1) |
np.mean(3.301588270297198+(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)*5.362272376064924-np.cumsum(np.exp(np.cos(2*np.pi*np.sqrt(abs(9.515517120730681)))-(np.array(range(1, array_x.shape[1]+1)))*array_x), axis=1), axis=1) |
np.sum(np.sqrt(abs(np.exp(array_x)))*(np.array(range(1, array_x.shape[1]+1)))+(np.array(range(1, array_x.shape[1]+1)))*array_x, axis=1) |
np.mean((np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)+6.1770169210812345-np.sqrt(abs(array_x))*3.825977310890435+array_x, axis=1)+10*(np.sin(2*np.pi*np.mean((np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)+4.258197426044676-np.sqrt(abs(array_x))*4.073773848767189+array_x, axis=1))) |
np.mean(array_x/1.522255889608375+8.946184192751367-np.log(abs(10*(7.735523003668851)))-9.962255082266505*array_x, axis=1) |
np.mean((np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T), axis=1)-np.amax(np.cos(2*np.pi*array_x), axis=1)-2.4830108857184987+np.sin(2*np.pi*np.mean((np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T), axis=1)-np.amax(np.cos(2*np.pi*array_x), axis=1)-7.981074191456189) |
np.mean(4.909802739421076*np.sqrt(abs(10*(1.6789575484583399+(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T))))+array_x*4.834011317204989, axis=1) |
np.sum(abs(9.34802547982119)/6.252598142024642-array_x*4.989989889494518, axis=1) |
np.mean(4.941672182415958*array_x/1.3201247061240045+2.682715832833389*(np.dot(array_x, np.array([[0.21385980697218732, 0.5942122251118341], [0.3389816234933021, 0.3447359214827401]])))+np.square(3.5091805473247617-(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)-8.028621913404512), axis=1) |
np.mean(np.round(array_x+array_x-9.575153775445349)/np.sqrt(abs(np.sqrt(abs(np.exp(8.765568844172957))))), axis=1)+10*(np.sin(2*np.pi*np.mean(np.round(array_x+array_x-9.152847447884575)/np.sqrt(abs(np.sqrt(abs(np.exp(5.225029595370482))))), axis=1))) |
np.mean(np.sin(2*np.pi*4.376093692141547*2.030813689712044-9.761691642967923*array_x)*np.sqrt(abs(np.sqrt(abs(np.sqrt(abs(array_x))+6.457850132678489))*2.2437486664382615)), axis=1) |
np.mean(10*(-(np.exp(array_x+9.99858308722663))-array_x*3.8318005904211145), axis=1)+10*(np.sin(2*np.pi*np.mean(10*(-(np.exp(array_x+6.7177878439026255))-array_x*2.9911350359505233), axis=1))) |
np.square(np.square(3.1494584517215753)*np.cos(2*np.pi*4.597616216184968-np.exp(np.sum(abs(array_x), axis=1))+1.8914164803941298)) |
np.mean(-(7.646092640186316-(np.dot(array_x, np.array([[0.2283631053026257, 0.2951952608085351], [0.7316672621792535, 0.8124450478954901]])))+np.exp(np.exp(1.660298173918711))*array_x), axis=1) |
abs(np.exp(np.cos(2*np.pi*9.795298072501772+np.sum(np.sin(2*np.pi*np.sin(2*np.pi*abs(array_x))), axis=1))))+10*(np.sin(2*np.pi*abs(np.exp(np.cos(2*np.pi*7.131086074751119+np.sum(np.sin(2*np.pi*np.sin(2*np.pi*abs(array_x))), axis=1)))))) |
np.sum(np.square(2.6293720402831924-(np.array(range(1, array_x.shape[1]+1)))*array_x-np.round(8.642619172465743)/(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(9.606558953163486+array_x/np.cos(2*np.pi*array_x+np.cos(2*np.pi*8.218120333950706)), axis=1) |
np.mean(10*((np.dot(array_x, np.array([[0.44675358698778034, 0.08392587229834791], [0.27546978515118203, 0.5647525043362975]])))*2.6016776322094675)+np.cos(2*np.pi*np.exp(7.449584039396436)), axis=1) |
np.mean(9.970189633071522-np.exp(np.cumsum(np.log(abs((np.array(range(1, array_x.shape[1]+1)))*array_x+np.square(7.731817475907028))), axis=1)+abs(8.702477285875679)), axis=1) |
np.mean(np.square(np.square(array_x-3.040366681420058)+9.49395559834578)/abs(7.358524379315818), axis=1) |
np.round(np.mean(10*(-(abs(np.sqrt(abs(np.cos(2*np.pi*np.cos(2*np.pi*8.76088525088052))*np.cos(2*np.pi*array_x)))-1.7090767901318649))), axis=1)) |
np.mean(array_x-6.83652570266654+1/(9.043206541605901)+np.square(array_x-4.155285467753357)+np.sqrt(abs(6.251550328441802)), axis=1) |
np.mean(3.3672944743472577+array_x-np.square(np.exp(array_x))/np.cos(2*np.pi*9.266065719746988), axis=1) |
np.sqrt(abs(np.mean(np.sin(2*np.pi*7.642981839380536+array_x), axis=1)-np.sum(np.sqrt(abs((np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)*5.450664409716573)), axis=1)))+10*(np.sin(2*np.pi*np.sqrt(abs(np.mean(np.sin(2*np.pi*5.119017093200182+array_x), axis=1)-np.sum(np.sqrt(abs((np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)*5.572451830505924)), axis=1))))) |
np.mean(8.011434020147675*(np.dot(array_x, np.array([[0.9910374496697593, 0.5645805540622784], [0.6961623672431502, 0.7870020908972923]])))-8.972240171158244+np.cos(2*np.pi*array_x), axis=1) |
np.mean(np.exp(9.763696834600465-array_x/1.0515062241287292-np.square(array_x+2.3072227649778165))/np.cos(2*np.pi*4.580929297229357), axis=1)+10*(np.sin(2*np.pi*np.mean(np.exp(7.713544229298053-array_x/8.255212567348098-np.square(array_x+5.7770489252908455))/np.cos(2*np.pi*4.939554603757333), axis=1))) |
np.round(np.mean(9.423478811609971*array_x+1.4510170256277015, axis=1)) |
np.mean(np.sqrt(abs(np.exp(2.816801638458151*array_x))), axis=1)+np.sin(2*np.pi*np.mean(np.sqrt(abs(np.exp(7.892490773294633*array_x))), axis=1)) |
np.mean(array_x*3.3770120075646783-4.325047392500256-np.exp(6.154902134661424+np.log(abs(array_x*9.220493319982442))), axis=1) |
np.round(np.square(np.sin(2*np.pi*np.sum(np.square((np.array(range(1, array_x.shape[1]+1)))*array_x)+np.sqrt(abs(7.797066819070441)), axis=1))+6.493449207245131)) |
np.mean(-(abs(8.24638307000952))*np.round(np.exp(np.sqrt(abs(array_x))))-np.square((np.dot(array_x, np.array([[0.4697481755518499, 0.4669997517681579], [0.395740809038696, 0.8853969359011891]]))))/5.474492732621583, axis=1) |
np.mean(np.cumsum(10*(4.9569439926996015*array_x)+array_x, axis=1)+np.exp(np.round(7.9022877487139915)), axis=1) |
np.mean(abs(9.020696033066363+(np.dot(array_x, np.array([[0.4062876049061609, 0.4901631989132118], [0.27395984599259815, 0.5160336302622326]])))*7.635444296159743)+array_x*2.056898969525579-4.7447119191323885+np.square(np.round((np.array(range(1, array_x.shape[1]+1))))), axis=1) |
np.mean(np.round(10*(array_x*array_x))+np.sin(2*np.pi*abs(4.6939138505174185))-np.round(1.9754360807959022+(np.dot(array_x, np.array([[0.3798581606894291, 0.6174200593067523], [0.7535719501453431, 0.9294142597216185]])))), axis=1) |
np.mean(10*(10*(np.cos(2*np.pi*np.sqrt(abs(np.exp(np.sin(2*np.pi*9.450779156292537)/(np.array(range(1, array_x.shape[1]+1))))+np.sqrt(abs(array_x))+3.02921597934652))))), axis=1) |
np.mean(np.square(abs(array_x)+4.563151082011142), axis=1)+np.sin(2*np.pi*np.mean(np.square(abs(array_x)+5.001141642564135), axis=1)) |
np.mean(array_x+np.log(abs(-(np.square(array_x-2.679440578895239-array_x))))*np.cos(2*np.pi*1.5743176646780026-array_x-10*(7.967961292101095))+10*(np.square(array_x)), axis=1) |
np.round(np.mean(1.2618157591376513-array_x, axis=1)*9.243706490552846) |
np.prod(3.554634335354131-np.square(array_x)+7.334860629141375, axis=1) |
np.mean(10*(np.square(2.3263935670465616+array_x)), axis=1)+np.sin(2*np.pi*np.mean(10*(np.square(3.2248700886349657+array_x)), axis=1)) |
np.mean(1/(10*(array_x*2.150699247582992-np.square(np.sqrt(abs(np.cos(2*np.pi*array_x*6.802042485015991)))*10*(4.169138481334009)/np.square(np.square(7.852166221723248))))), axis=1) |
np.mean(np.square(2.8286396036298065-array_x)/1.0075355744213308*np.exp(array_x/4.979525622456013/7.384633499651992), axis=1)+np.sin(2*np.pi*np.mean(np.square(5.078290619654229-array_x)/2.110838645864772*np.exp(array_x/7.904803805729872/8.39710106223186), axis=1)) |
np.mean(np.round(10*(np.log(abs(8.572773529070156-np.square((np.dot(array_x, np.array([[0.14164949228399937, 0.8805492057845814], [0.3275926123823375, 0.607842655420254]])))))))-9.55652164990302*array_x)+2.501625450452295, axis=1)+np.sin(2*np.pi*np.mean(np.round(10*(np.log(abs(6.6365916348890615-np.square((np.dot(array_x, np.array([[0.8857008489847021, 0.08098765543602826], [0.38375488745431563, 0.8654371492022169]])))))))-2.761900886632738*array_x)+8.269857386678062, axis=1)) |