function
stringlengths 34
1.22k
|
|---|
np.mean(1.9381008432451603+8.780259725764399*(np.array(range(1, array_x.shape[1]+1)))+np.square(9.117708007002175+array_x), axis=1) |
10*(np.mean(6.963880371989919+array_x, axis=1))+abs(np.prod(array_x+3.7379404348246625, axis=1)+2.329884226070062) |
np.mean(4.965795693119854*array_x+2.147925041749788*9.974847415457138, axis=1) |
np.mean(array_x+array_x/8.29920124334772-np.log(abs(np.log(abs(7.067895130469527)))), axis=1)+10*(np.sin(2*np.pi*np.mean(array_x+array_x/5.194459502015079-np.log(abs(np.log(abs(7.697367144433928)))), axis=1))) |
np.mean(np.exp(np.round(array_x)+8.493740700735703-1.169183611426364-10*(1/((np.dot(array_x, np.array([[0.5529395436122767, 0.2867835483632324], [0.15587247276136718, 0.9527357877093503]])))+array_x-4.661848939531844))), axis=1) |
np.mean(np.exp(np.square(np.sin(2*np.pi*array_x)*1.9378888598544264)), axis=1) |
np.mean(array_x*7.540676625376725*5.707453281217808+1/(abs(7.104156283559505)), axis=1) |
np.mean(np.sin(2*np.pi*np.log(abs(6.182874917479766)))-np.square(array_x-array_x*5.878500059231118), axis=1) |
np.prod(array_x/4.317698511736833-(np.array(range(1, array_x.shape[1]+1)))-4.677755852157899*abs(7.891718447493142), axis=1) |
10*(np.amax(array_x-(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)-7.6614006163198765, axis=1)+1.1361621020342614-np.sqrt(abs(2.6559551232185536))) |
np.mean(np.exp(array_x)/np.cos(2*np.pi*-(array_x+8.30764889875242)), axis=1) |
np.mean(np.log(abs(np.square(3.2020881887901567+array_x))), axis=1)+10*(np.sin(2*np.pi*np.mean(np.log(abs(np.square(2.7240193496551304+array_x))), axis=1))) |
np.mean(np.square(10*(6.3186689055155)-(np.dot(array_x, np.array([[0.09770159915503973, 0.7781905046471691], [0.8619502193551797, 0.4656568363654514]])))-4.203907686617181), axis=1) |
np.mean(1/(3.3700503010718954)-array_x*np.round(6.649537279929871)*3.3290730496418655*np.square(-(array_x)), axis=1) |
np.mean(10*(array_x)+7.480301007426691+1/(7.3884387626961665), axis=1)+10*(np.sin(2*np.pi*np.mean(10*(array_x)+5.593744124863785+1/(4.775975988698063), axis=1))) |
np.mean(10*(3.2257066163825634*array_x+7.909324128360282), axis=1) |
np.mean(10*(np.sin(2*np.pi*4.347513817019739*np.sqrt(abs(8.146723173136497-array_x))+array_x)), axis=1) |
np.sqrt(abs(np.prod(array_x*3.832588009562505-3.4293247263836393, axis=1)*np.sin(2*np.pi*9.461419929268766)))+10*(np.sin(2*np.pi*np.sqrt(abs(np.prod(array_x*8.243456110437755-8.31948400852491, axis=1)*np.sin(2*np.pi*3.33557433028828))))) |
np.mean(np.sqrt(abs(10*(7.154962616648305+10*(array_x))/8.668464259700503)), axis=1)+10*(np.sin(2*np.pi*np.mean(np.sqrt(abs(10*(3.603493356361408+10*(array_x))/3.7106840014802938)), axis=1))) |
2.1992935525302952+np.prod(3.3423543943938343*array_x, axis=1) |
np.log(abs(np.log(abs(np.sin(2*np.pi*np.mean(9.559733002197175-array_x*(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T), axis=1)))))) |
np.mean(np.cos(2*np.pi*9.736572470748404+array_x/6.294978087737594/np.sqrt(abs(np.sqrt(abs(10*(4.843967689303764)))))+1/(np.square(np.square(1.0411219257043207)))), axis=1)+10*(np.sin(2*np.pi*np.mean(np.cos(2*np.pi*7.235323301017425+array_x/2.2413142090197424/np.sqrt(abs(np.sqrt(abs(10*(6.881589768624074)))))+1/(np.square(np.square(8.144567623510625)))), axis=1))) |
np.mean(abs(array_x/5.791963103140408)--(np.square(5.48138567924117)+array_x)*6.1817807452831515, axis=1) |
np.mean(np.sin(2*np.pi*array_x)-np.square(2.2475086697572064)-4.3251210109970675, axis=1)+10*(np.sin(2*np.pi*np.mean(np.sin(2*np.pi*array_x)-np.square(3.85201727966526)-9.46948099904994, axis=1))) |
10*(np.log(abs(np.sqrt(abs(2.312388984515354+np.mean(array_x, axis=1)-7.778586723084249/3.9034119600888983)))))+np.sin(2*np.pi*10*(np.log(abs(np.sqrt(abs(6.930774991986566+np.mean(array_x, axis=1)-9.229678327682329/6.4893231340215)))))) |
np.mean(10*(array_x-(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)+np.square(7.7830818705876705)/6.643750882686195+np.square(7.687222918561574)), axis=1) |
8.792127997201556*3.9603956903266946-np.sum(array_x, axis=1)+np.square(8.310555594394664)+10*(np.sin(2*np.pi*9.89243832206872*9.775897071077232-np.sum(array_x, axis=1)+np.square(5.609432201580914))) |
abs(np.sum(2.2961922386816633/(np.array(range(1, array_x.shape[1]+1)))*array_x-abs(8.933655209962527), axis=1)+4.740678915641628+array_x[:,0]) |
np.prod(1.464687686694006/np.cos(2*np.pi*1.9112606660751976*(np.array(range(1, array_x.shape[1]+1)))*array_x-9.518617741776032)+array_x-(np.dot(array_x, np.array([[0.2166077814333236, 0.6456369398257058], [0.4715348886653419, 0.9726511164993747]])))-3.0391091667686077*3.423037460105224, axis=1) |
np.mean(np.cumsum(6.65743762014634*(np.array(range(1, array_x.shape[1]+1)))*array_x+1.974790342706894*np.exp(1.3957920158997252), axis=1), axis=1) |
np.mean(np.square(array_x*1.3363481116455875*8.835329752918422-abs(array_x-array_x+4.61506182544429)), axis=1)+np.sin(2*np.pi*np.mean(np.square(array_x*1.0098193100837012*7.053254903390871-abs(array_x-array_x+7.827292996687745)), axis=1)) |
np.mean(7.1173541800831135+array_x-8.85094350876023-(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)-1/(abs(np.round(1.3436904719095828)))+2.9699900970623565+np.square((np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)), axis=1)+10*(np.sin(2*np.pi*np.mean(2.5536494487683923+array_x-3.360046163421373-(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)-1/(abs(np.round(2.099027683439479)))+5.514954369114609+np.square((np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)), axis=1))) |
np.sum(np.square(array_x*array_x-(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)-np.log(abs(1.404884852984154))*np.square(3.447931314427156+array_x)), axis=1) |
np.square(np.mean(3.168080175237735+5.951184920372343*array_x, axis=1))-np.square(5.320364481931921) |
np.mean(-(6.233912601740757)*9.277048521877619+(np.dot(array_x, np.array([[0.6677932804708746, 0.9257355868937331], [0.643034359254968, 0.20736961891241001]])))+np.sin(2*np.pi*9.38011362948436)*np.square((np.dot(array_x, np.array([[0.7618492402746612, 0.7539547247715453], [0.10060570270340674, 0.2120930629922172]])))+9.210731308932797)-(np.dot(array_x, np.array([[0.0775460916864823, 0.08584400961347749], [0.6354995655379057, 0.9434193539580239]]))), axis=1) |
np.round(6.616117414901111+10*(np.sum(8.038969248753412-array_x*np.sin(2*np.pi*array_x)+3.2534854522216987, axis=1))) |
np.mean(np.square(9.441338313626723)*3.5573651594573823-(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*7.657462695877627*np.cumsum((np.array(range(1, array_x.shape[1]+1)))*array_x, axis=1), axis=1) |
np.mean(np.sqrt(abs(array_x))-np.log(abs(6.495056663738854)), axis=1)+10*(np.sin(2*np.pi*np.mean(np.sqrt(abs(array_x))-np.log(abs(8.963988245130242)), axis=1))) |
np.mean(-(4.7814122776640815)*np.sqrt(abs(array_x+7.715648074694117*np.sin(2*np.pi*np.cos(2*np.pi*np.exp(array_x))))), axis=1) |
np.round(np.sum(9.764231158758559*array_x+10*(6.963708736076072)-abs((np.dot(array_x, np.array([[0.477214650028858, 0.46442668778373897], [0.03516872958673212, 0.6707913145636861]])))-9.848412116705898), axis=1)) |
np.mean(10*(-(np.round(10*(6.101806649131766*array_x/6.987359660399037)+np.sqrt(abs(5.644094218453766))-np.square(np.square(np.sin(2*np.pi*array_x)*np.exp(1.0262521926676564)))))), axis=1) |
np.mean(8.997864856607507-array_x*abs(3.661722530136203)+np.cos(2*np.pi*np.sqrt(abs(10*(array_x)-5.766837889422749/5.253931123198909))), axis=1)+10*(np.sin(2*np.pi*np.mean(5.052544030379577-array_x*abs(4.649728300201791)+np.cos(2*np.pi*np.sqrt(abs(10*(array_x)-1.9570937694998074/1.490548756447616))), axis=1))) |
np.mean(np.exp(4.994287944059531)+array_x/8.413130488908493-np.exp(3.2147240743272434-array_x)+2.9345673297879245+array_x-1/(abs(1.8225781421389593)), axis=1)+10*(np.sin(2*np.pi*np.mean(np.exp(1.8550461046204183)+array_x/4.27385192192229-np.exp(8.721906146384075-array_x)+8.45525808918829+array_x-1/(abs(1.4375365786913863)), axis=1))) |
np.round(np.mean(np.round(np.exp(np.round(10*(array_x)-np.cos(2*np.pi*3.581908524417073))))+1.4077828331423174/np.sqrt(abs(np.exp(array_x/np.sqrt(abs(6.385109377328398))))), axis=1)) |
np.mean(-(2.4985265189998787)-np.square(array_x*7.0738822457552635)*4.254015395916005-9.106544817357339*array_x, axis=1) |
np.mean(np.exp(5.652521129170901+2.1659597656467886*array_x), axis=1) |
np.mean(8.796480148002747/8.461517507551422*array_x-1.2102709708802488-8.33686453475178-8.62535411322415*array_x, axis=1)+np.sin(2*np.pi*np.mean(4.223142326750542/6.945224180020852*array_x-4.364807580935258-8.886850757499221-2.1309445695976863*array_x, axis=1)) |
np.mean(4.475164466556521*1.3982848316175993+array_x, axis=1)+10*(np.sin(2*np.pi*np.mean(1.0610774363818098*6.763109665220343+array_x, axis=1))) |
np.square(np.mean(array_x-array_x*(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T), axis=1))+8.5252792830332*array_x[:,0]+np.round(3.0139908015256216) |
np.mean(np.square(10*(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)*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)-array_x-(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)+6.341325237363342)), axis=1) |
np.mean(np.round(9.072014302439415)*array_x-7.755981284256432, axis=1) |
np.mean(np.round(np.log(abs(3.544006273518642))+np.cumsum(np.square(7.643061599032999+(np.dot(array_x, np.array([[0.8429280779427868, 0.08348879922991692], [0.2508649610853003, 0.1373715736188621]])))+(np.dot(array_x, np.array([[0.4727811517471212, 0.30122466318339935], [0.20201892531776233, 0.18841994704122822]])))/2.7770316186397235+(np.dot(array_x, np.array([[0.17229150290757966, 0.9706831719850345], [0.8787854203311783, 0.31801128079543395]])))/5.8929185137380475), axis=1)), axis=1) |
np.sum(np.square(10*(array_x+6.01207718517468+np.square((np.array(range(1, array_x.shape[1]+1)))+array_x))/6.465948896574924), axis=1) |
np.mean(7.121725059525482*array_x*1.3522061048960419+(np.array(range(1, array_x.shape[1]+1)))-(np.dot(array_x, np.array([[0.751845768326468, 0.7626256577700409], [0.18380738128680774, 0.07188898151144962]]))), axis=1) |
np.amax((np.array(range(1, array_x.shape[1]+1)))+2.843904816014173+array_x-array_x/9.533920651009984+array_x, axis=1)+10*(np.sin(2*np.pi*np.amax((np.array(range(1, array_x.shape[1]+1)))+2.6914676490184704+array_x-array_x/6.9953335538781864+array_x, axis=1))) |
np.mean(10*(array_x-np.exp(np.sqrt(abs(array_x))/9.722856607145332)+3.790195709563072), axis=1) |
np.prod(array_x-6.537418863230901-np.round(array_x)+np.sqrt(abs(6.875122222419633*(np.dot(array_x, np.array([[0.3545285222943786, 0.21477838684017592], [0.7293594594725208, 0.1919889284121178]])))+2.440934767195303)), axis=1) |
np.mean(np.sin(2*np.pi*8.21093125189386)/np.square(1/(array_x+9.066275558023884)), axis=1)+10*(np.sin(2*np.pi*np.mean(np.sin(2*np.pi*7.100952898646525)/np.square(1/(array_x+2.5140220064492973)), axis=1))) |
np.exp(np.square(1.577361414412152*np.sum((np.dot(array_x, np.array([[0.4031363113109191, 0.989289110062023], [0.2717656232714628, 0.5847751691344726]]))), axis=1)-1.1438809846169073))-np.square(np.sin(2*np.pi*np.log(abs(9.253567013440588))))-np.sqrt(abs(np.mean(array_x, axis=1))) |
np.mean(np.exp(1/(np.square(7.303082303957933)))-np.square(array_x+9.982704112931884), axis=1) |
4.306283302638619*2.989668742707584-np.mean((np.dot(array_x, np.array([[0.6267413784323631, 0.8988274860642731], [0.43104131228484155, 0.3627977637150095]]))), axis=1)*np.exp(2.7598862459176945) |
10*(np.mean(np.round(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)*5.372556161132366), axis=1)-2.870443528140336) |
np.mean(np.exp(np.sin(2*np.pi*1.4180782676353445))*10*(np.sqrt(abs(3.3416425790332998-(np.dot(array_x, np.array([[0.6514747114239207, 0.7882216948554304], [0.009143710074430156, 0.6005598614686999]])))))), axis=1) |
np.square(np.prod(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)-array_x-(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)+1.7081857956768296-9.181249498287338+array_x-(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)+1/(3.6867266276520487)-8.555198127947076, axis=1)) |
np.mean(9.512578341928121-array_x*8.279567284833828, axis=1)+np.sin(2*np.pi*np.mean(3.3926073540222683-array_x*7.446828576227228, axis=1)) |
np.mean(1/(array_x+array_x-9.055000494797932/array_x+3.8640217148940064)-np.exp(2.527778940248693+(np.dot(array_x, np.array([[0.6030176887166855, 0.43053704410984295], [0.6253918249473017, 0.9216594881471022]])))), axis=1) |
np.mean(1.3508111596828507-2.639534486612814-array_x/8.539012159486031, axis=1)+10*(np.sin(2*np.pi*np.mean(9.550810469111036-1.5914123091902206-array_x/3.267458156989587, axis=1))) |
np.round(np.mean(np.square(8.533239947779432+np.sin(2*np.pi*-(array_x))-5.524914201256159-array_x*10*(7.9257746621221665)/-(2.9181957764564928)), axis=1)) |
np.sum(np.exp(6.807824983512732+(np.dot(array_x, np.array([[0.6636827048904532, 0.6390932069181522], [0.2586619853932982, 0.3663787925045663]])))-np.round((np.array(range(1, array_x.shape[1]+1))))+(np.dot(array_x, np.array([[0.2705191608184264, 0.6132854794606518], [0.829366741237395, 0.9481844029137156]])))), axis=1)*6.335435596974673 |
np.round(np.sum(-(9.89664629863379)-6.6973518366649145*array_x, axis=1)) |
1.7654317636090724-np.square(np.mean(np.square(array_x)+8.305980921087935, axis=1)) |
np.prod(abs((np.dot(array_x, np.array([[0.9933263652705439, 0.5782655132015083], [0.997653254227475, 0.27557555456449]])))+7.761907432227328)-(np.array(range(1, array_x.shape[1]+1)))-8.913581909421323, axis=1) |
np.mean(10*(8.546784879265966-10*(array_x)-2.2843555353521703/2.5629257728997237-array_x-5.407768216852085-(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)), axis=1) |
np.mean((np.dot(array_x, np.array([[0.1728011004173049, 0.7073869000933154], [0.849957557438931, 0.8616223601119969]])))+8.048373147158964+9.542282211784613*np.square((np.dot(array_x, np.array([[0.6026861636273171, 0.4501410731337133], [0.6885755351450891, 0.5874975749425144]])))), axis=1) |
np.mean(-(np.sqrt(abs(7.120031636677595))*np.square(array_x+9.462431414610755)), axis=1) |
1/(np.amax(np.sqrt(abs(7.515581590851184))*array_x+np.sin(2*np.pi*2.2256124102273036-array_x-9.018959620944266), axis=1)) |
np.mean(10*(np.sin(2*np.pi*array_x-4.780705536295654)+np.sin(2*np.pi*np.sin(2*np.pi*3.766128312449145))), axis=1) |
1/(np.sin(2*np.pi*np.cos(2*np.pi*np.sum(3.04599420330533/2.5427536648487044-array_x+np.cos(2*np.pi*np.sin(2*np.pi*-(np.cos(2*np.pi*abs(np.cos(2*np.pi*-(9.313273097322078))))))), axis=1)))) |
np.mean(np.sin(2*np.pi*10*(array_x)+7.313559048684829)*2.6227498732259873, axis=1)+10*(np.sin(2*np.pi*np.mean(np.sin(2*np.pi*10*(array_x)+9.200013910895944)*5.236573830591504, axis=1))) |
np.mean((np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)/9.604918943670599*array_x+array_x*8.42617122573619-array_x+7.240933255833971, axis=1) |
np.mean(np.square(5.7561161460954535*array_x-9.281628235869892*np.round((np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)-9.931032514196731))/np.cos(2*np.pi*np.sin(2*np.pi*np.sqrt(abs(9.878288247420308-array_x))-8.32839499046408)), axis=1) |
np.mean(4.700357307744317*np.square(2.821889163320649-array_x*2.1885621457121704)+4.684789151353179, axis=1)+10*(np.sin(2*np.pi*np.mean(6.238246381157553*np.square(6.600743868396915-array_x*5.22982410650528)+2.2177339649436134, axis=1))) |
np.mean(4.914791454330739-np.sqrt(abs(array_x))+array_x+4.626263227878028*array_x+(np.dot(array_x, np.array([[0.43874200021059717, 0.9613980773474351], [0.017482394911440546, 0.24889548682544194]])))+8.838699263464342, axis=1)+np.sin(2*np.pi*np.mean(7.63230144725624-np.sqrt(abs(array_x))+array_x+1.0507153574373842*array_x+(np.dot(array_x, np.array([[0.24060033408712056, 0.8222980991475674], [0.6348371752144113, 0.15377094571553385]])))+2.0248250106607157, axis=1)) |
np.mean(8.031900960657847+np.square(6.169835397547135+array_x)-4.914209263190873, axis=1) |
np.mean(np.square(np.square(9.029753708589292-array_x*array_x)/(np.array(range(1, array_x.shape[1]+1)))+1.575341813076772-3.4133459579330117*np.sqrt(abs(array_x))*2.647217946414725), axis=1) |
np.mean(5.589889560373853*(np.array(range(1, array_x.shape[1]+1)))*array_x+3.136687625114468/np.log(abs(8.272128731289548))+4.8494916258712495, axis=1) |
np.round(np.mean(10*(1.513123159975874-array_x)/np.exp(1/(np.round(np.cos(2*np.pi*6.222992747684071)/array_x+array_x))-np.cos(2*np.pi*array_x)), axis=1)) |
np.mean(np.sin(2*np.pi*7.098781586985103)-10*(array_x-8.624836809084709+5.159466094809671), axis=1) |
np.mean(3.3961452379878425/2.4509692072340354+7.681724878187454*array_x-1.14324124839073/np.sqrt(abs(3.0884480360145505+array_x*array_x)), axis=1) |
np.mean(np.square(np.square(1.3791094940230062+(np.dot(array_x, np.array([[0.8072210269470033, 0.21481440026584153], [0.7938317751612753, 0.9999505782955739]])))+(np.dot(array_x, np.array([[0.8039926148670119, 0.5705770311582391], [0.5876501686916733, 0.23195604519538227]]))))/np.cos(2*np.pi*np.sin(2*np.pi*np.round(np.log(abs(7.996912349371808)))))), axis=1) |
np.mean(2.2361741218590527+np.cos(2*np.pi*array_x)*10*(5.532047678241104), axis=1)+np.sin(2*np.pi*np.mean(7.3999042270875455+np.cos(2*np.pi*array_x)*10*(1.2584260663891285), axis=1)) |
np.square(1.0389208294551926-np.sum(array_x, axis=1)+2.2520012335441724)/np.log(abs(6.338769956612014)) |
np.mean(np.square(5.83217702274849)*abs(np.cumsum(array_x-1.3916905333083727, axis=1)), axis=1) |
np.mean((np.array(range(1, array_x.shape[1]+1)))-6.695225130407657/np.sin(2*np.pi*np.sin(2*np.pi*(np.array(range(1, array_x.shape[1]+1)))*array_x-7.464675076248845/np.log(abs(4.33488687660903)))), axis=1) |
np.mean(array_x-8.824050597681023*array_x+array_x-np.sin(2*np.pi*3.18696160462948)-3.6031738412879504, axis=1) |
np.mean(np.square(7.7746801245128685-np.square(4.750745741099725*(np.dot(array_x, np.array([[0.5222401057140652, 0.6980548847544849], [0.5068489813289837, 0.6017230764213061]]))))+(np.dot(array_x, np.array([[0.10404820587692487, 0.739869602481824], [0.921531677744208, 0.6565351250125475]])))), axis=1) |
np.sqrt(abs(np.sqrt(abs(np.log(abs(7.590523397822767))))))+np.prod(array_x, axis=1)*8.543424867515526*array_x[:,0] |
np.mean(abs(6.734400317003895)-10*(array_x+8.394311325383711)*np.square(3.6730684317439), axis=1) |
np.mean(np.square(np.log(abs(np.square(8.429178346958695))))+2.1105416894771594/np.cos(2*np.pi*7.596091328948714*np.square(array_x)), axis=1) |
np.mean(np.square(3.4916910977750883+array_x-7.7069251019542335), axis=1)+np.sin(2*np.pi*np.mean(np.square(7.736361504506063+array_x-6.666931417491074), axis=1)) |