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np.prod(np.square(5.645065523086737)-np.round(np.sin(2*np.pi*array_x)), axis=1)+np.sin(2*np.pi*np.prod(np.square(1.7990860741664658)-np.round(np.sin(2*np.pi*array_x)), axis=1)) |
np.mean(abs(array_x*4.56924930828812)-np.sqrt(abs(1.7860941627012625+array_x))+np.exp(array_x+array_x), axis=1) |
np.mean(np.cos(2*np.pi*10*(array_x/8.686796202699774)*array_x/2.6336232554322545)+np.square((np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)*9.937933590554398), axis=1) |
np.mean(2.8420609951453706-array_x-10*(array_x), axis=1) |
np.mean(9.771566300371957-6.05492984544361*array_x, axis=1) |
np.mean(4.482232572756567-2.247135647777839*5.674476894029752-array_x+10*(np.sqrt(abs(6.278633785904969))-np.square(np.square(5.4576593332557835-1/(2.5178842724100274-array_x)))), axis=1)+np.sin(2*np.pi*np.mean(7.260910596037309-2.615679467141794*9.565095994877232-array_x+10*(np.sqrt(abs(4.7362899593134955))-np.square(np.square(2.3042109508253534-1/(9.591787306227912-array_x)))), axis=1)) |
np.mean(8.202899090677425+array_x*8.356651799292642-9.970047463699537, axis=1) |
np.mean(np.exp(3.2450168346543755)+np.sin(2*np.pi*np.square(array_x))+7.873373676397446+array_x+3.8520216054133396*abs(array_x)*(np.dot(array_x, np.array([[0.019515638213776998, 0.8639143659093315], [0.9476159579324387, 0.6493192486120841]]))), axis=1)+np.sin(2*np.pi*np.mean(np.exp(2.8459932522559237)+np.sin(2*np.pi*np.square(array_x))+7.76299036366456+array_x+4.222810942432635*abs(array_x)*(np.dot(array_x, np.array([[0.9097072161847628, 0.3995138340794736], [0.40713074077659017, 0.22058040151502145]]))), axis=1)) |
np.sum(np.square(np.square(np.round(8.637115597872668))+np.cos(2*np.pi*np.exp(np.sqrt(abs(3.370882400115111+array_x/np.cos(2*np.pi*9.944279200715211-(np.dot(array_x, np.array([[0.043027606681418584, 0.9711354366314807], [0.8800855230410026, 0.2584564814928708]]))))))))), axis=1)+np.sin(2*np.pi*np.sum(np.square(np.square(np.round(3.831692796492067))+np.cos(2*np.pi*np.exp(np.sqrt(abs(3.6281001122659164+array_x/np.cos(2*np.pi*1.3753445942019629-(np.dot(array_x, np.array([[0.7807724781747474, 0.8000250519712454], [0.9165026583931506, 0.9074561908442199]]))))))))), axis=1)) |
np.cos(2*np.pi*np.mean(np.sqrt(abs(1/(5.064992657668778+(np.array(range(1, array_x.shape[1]+1)))+9.759038281264335)-array_x-np.sqrt(abs(3.2410908270279566)))), axis=1))+10*(np.sin(2*np.pi*np.cos(2*np.pi*np.mean(np.sqrt(abs(1/(6.111479007381332+(np.array(range(1, array_x.shape[1]+1)))+8.679632104893809)-array_x-np.sqrt(abs(9.65994755137254)))), axis=1)))) |
np.mean(np.cumsum(array_x+7.100427492596701-10*(np.log(abs((np.array(range(1, array_x.shape[1]+1))))))*4.20483654666338*array_x-8.708875843938467, axis=1), axis=1) |
np.mean(6.216577767360491+array_x/np.cos(2*np.pi*3.6802622000528746)*2.3924229935634824, axis=1)+np.sin(2*np.pi*np.mean(1.1770901126247886+array_x/np.cos(2*np.pi*2.494208247769854)*5.298690592571359, axis=1)) |
np.mean(-(np.sqrt(abs(np.exp(4.692630287499221-array_x)-(np.array(range(1, array_x.shape[1]+1)))+4.038549299197154))), axis=1)+np.sin(2*np.pi*np.mean(-(np.sqrt(abs(np.exp(1.5527313627028845-array_x)-(np.array(range(1, array_x.shape[1]+1)))+3.040211419824))), axis=1)) |
np.mean(np.sin(2*np.pi*6.196254746986714)*np.round((np.dot(array_x, np.array([[0.2037496532461791, 0.31626497817016497], [0.718105286175989, 0.5749635192334825]])))*4.528124000240908)+8.721634343885128-np.round(np.exp(8.60067948596539+(np.dot(array_x, np.array([[0.9196270735176271, 0.6328380398976612], [0.3567305822335891, 0.19691717920509988]]))))), axis=1) |
np.mean(np.square(np.sin(2*np.pi*np.sqrt(abs(array_x)))-4.354658028979359+np.sin(2*np.pi*array_x-5.330825526796679)), axis=1) |
np.sum(9.763515606028246+array_x, axis=1)+10*(np.sin(2*np.pi*np.sum(6.2050580291920845+array_x, axis=1))) |
np.mean(7.549249729225931*np.round(2.5898325028254976-array_x)/1.4400505794935055-1.7291727392718121+np.square(array_x+7.147607496836419-np.square(8.582112355276976)), axis=1) |
np.mean(np.exp(9.829206794318777*array_x-np.round(3.5615271918298843)), axis=1) |
np.mean(7.351505508514904+array_x*3.1868504394998363+3.60229582255767*array_x-np.square(8.567279427191103), axis=1) |
np.mean(np.square(np.sin(2*np.pi*np.sqrt(abs(4.777518108821452))*7.93263005514445-array_x)), axis=1)+10*(np.sin(2*np.pi*np.mean(np.square(np.sin(2*np.pi*np.sqrt(abs(5.172537698420086))*6.276175815487182-array_x)), axis=1))) |
np.mean(np.exp(array_x)*9.559551444193286*(np.array(range(1, array_x.shape[1]+1)))-6.60030062337648-8.716799248741314+np.cumsum(np.square(6.929546836926604)-abs(array_x+1.370652045468026), axis=1), axis=1) |
np.mean(np.round(array_x*4.562425772955834*8.06602342301149)+np.log(abs(1.3333313644258358)), axis=1) |
np.mean(np.sqrt(abs(6.596754553136032+array_x))/np.square(1/(5.42741157413872)), axis=1)+np.sin(2*np.pi*np.mean(np.sqrt(abs(3.279416671685102+array_x))/np.square(1/(8.809740026231921)), axis=1)) |
np.mean(3.5217866006164473*np.sqrt(abs(np.round(array_x)))-array_x-8.175975324198134-np.sqrt(abs(9.614675052636846)), axis=1) |
np.mean(8.595463259914798-array_x, axis=1)+10*(np.sin(2*np.pi*np.mean(2.2417413876208814-array_x, axis=1))) |
np.mean(np.sqrt(abs(np.sin(2*np.pi*array_x)*np.square(7.232269410580109-(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T))))-abs(8.486882849649781), axis=1) |
np.mean(np.round(np.exp(array_x*5.481255585356208+np.sqrt(abs(3.920086623492263)))), axis=1) |
9.120000439521633*np.prod(array_x, axis=1)-np.log(abs(6.786015713644359))/3.670602565258731 |
np.mean(10*(np.sqrt(abs(array_x))*8.678394799651226*6.82162993959268)-1.661843970131259+np.cos(2*np.pi*(np.dot(array_x, np.array([[0.8569188260930723, 0.024712122489741972], [0.1470631568422246, 0.3120163949549326]])))*1.2877626620331306)*5.263995080485326, axis=1) |
np.mean(np.square(4.737402715214749)*array_x-10*(np.cos(2*np.pi*4.876752311347518)), axis=1)+np.sin(2*np.pi*np.mean(np.square(7.98740602445582)*array_x-10*(np.cos(2*np.pi*6.5962917167103425)), axis=1)) |
np.mean((np.dot(array_x, np.array([[0.17693646265505403, 0.06415410894280604], [0.8043259892168753, 0.48680900418139794]])))-np.sqrt(abs(array_x))-8.429558547842763*np.sqrt(abs(2.422277304168755)), axis=1)+10*(np.sin(2*np.pi*np.mean((np.dot(array_x, np.array([[0.17329085234978125, 0.29427380097957867], [0.9510974375736796, 0.9228762802380007]])))-np.sqrt(abs(array_x))-9.685344020278446*np.sqrt(abs(9.834574585343764)), axis=1))) |
np.mean(4.284554534901305-5.89747081760687*array_x+np.sqrt(abs(1.661659059666551+(np.dot(array_x, np.array([[0.8066460973721382, 0.78807432262076], [0.5792404886467176, 0.6728637968061337]]))))), axis=1) |
np.mean(np.cumsum(1.6369273343505528-np.cos(2*np.pi*array_x)*6.022768095029392+np.sin(2*np.pi*array_x), axis=1), axis=1) |
np.sqrt(abs(np.sum(np.exp(3.8905137915474635+np.sqrt(abs((np.array(range(1, array_x.shape[1]+1)))*array_x))), axis=1))) |
np.mean(5.455356787852685*array_x-2.9461507922627184/np.sqrt(abs(4.063214652374569)), axis=1) |
np.mean(np.sqrt(abs(np.cos(2*np.pi*array_x)-array_x))+array_x*5.582791119870017-array_x/5.555955890096028, axis=1)+np.sin(2*np.pi*np.mean(np.sqrt(abs(np.cos(2*np.pi*array_x)-array_x))+array_x*9.63177678664649-array_x/9.69834454970431, axis=1)) |
np.mean(np.exp(np.sqrt(abs(1.8077590460708715))+np.square(np.square(array_x))), axis=1) |
np.mean(np.square(8.194636656117652)*np.exp(np.square(array_x))-(np.dot(array_x, np.array([[0.32016615267038806, 0.7191544415587489], [0.15145322537548722, 0.5434967876015503]])))*5.511754491840013-2.259038349858063-2.7355578706518324, axis=1) |
np.mean(4.429395989605443*np.cos(2*np.pi*2.537160059504976*array_x*9.096166744508327), axis=1) |
np.round(abs(np.exp(np.sqrt(abs(6.618020094311145)))-np.mean(10*(array_x), axis=1))) |
np.mean(np.square(4.738718495516408)-10*((np.dot(array_x, np.array([[0.7147780701382845, 0.8153738818218152], [0.573344860362352, 0.6546545712869541]]))))*5.107097776861696+(np.dot(array_x, np.array([[0.6325807847021363, 0.9265700854584341], [0.4209668943528363, 0.8671059829773888]]))), axis=1) |
np.mean(1/(np.sin(2*np.pi*8.699766103072577)+np.sin(2*np.pi*np.exp(5.2209495354671125)-array_x)+np.sin(2*np.pi*np.sqrt(abs(1.1035267471425643)))), axis=1) |
np.mean(np.exp(array_x+7.846470009743019)*-(3.7167624716153367), axis=1) |
np.mean(np.log(abs(np.sin(2*np.pi*np.square(2.6239833049515777+np.round(array_x))*np.cos(2*np.pi*array_x))))+2.170594558805724, axis=1) |
np.mean(abs(6.4359373897197685*(np.array(range(1, array_x.shape[1]+1)))*array_x/9.512519306923421)-np.cumsum(-(10*(2.9764426211014663)-3.283860400716335*(np.array(range(1, array_x.shape[1]+1)))*array_x+np.sin(2*np.pi*8.31252972241397)), axis=1), axis=1) |
np.mean(6.261618440105438*array_x+array_x+np.round(np.cos(2*np.pi*8.882407038542775)), axis=1) |
np.mean(array_x-9.574872436554918*(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)-np.square(1.5141034660207082), axis=1) |
np.mean(np.sqrt(abs(array_x+6.046088849182581))/4.745548634114744+3.57033089868196+abs(array_x)-8.163118333724007*array_x+8.142848993222064, axis=1) |
np.square(1.8830146063079036/np.cos(2*np.pi*np.sin(2*np.pi*abs(np.mean(np.cos(2*np.pi*array_x+1.8184822067135482), axis=1))))) |
np.mean(10*(3.886689020433735*array_x-9.283365753345391), axis=1) |
np.mean(7.898314798995167*array_x+np.sqrt(abs(8.023228737331277))-np.round((np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)), axis=1) |
np.square(-(np.sum(4.04314421807765*np.cumsum(array_x, axis=1)-7.4321349112541695-(np.dot(array_x, np.array([[0.782209057776848, 0.2988856092722969], [0.31823106182924066, 0.10134203290664578]]))), axis=1))) |
np.mean(1.814986664551327-1.7419475088085563*2.830361444954088+(np.array(range(1, array_x.shape[1]+1)))+(np.array(range(1, array_x.shape[1]+1)))/5.316603382215023/9.953216586274843-np.square(1/(np.log(abs(10*(array_x)-6.4106396045824905)))), axis=1) |
np.mean(5.454734430911429-9.796023351109444*array_x, axis=1) |
np.mean(abs(np.sqrt(abs(1.8391013867237924))+np.exp(array_x+array_x*8.457421758598255)*np.sin(2*np.pi*9.39519284777602)), axis=1) |
np.sum(np.exp(4.153441318974107-(np.dot(array_x, np.array([[0.0628858349057877, 0.5948709918840608], [0.6722461354386141, 0.5927175362281688]])))-np.square(array_x)), axis=1) |
np.mean(6.667647221871926+np.square(array_x+5.464267068861603), axis=1) |
np.mean(-(1.7738032817771194+array_x+8.596799011201483)*1.13405305791521/np.sin(2*np.pi*np.cos(2*np.pi*array_x+9.722327925804798)), axis=1) |
-(np.mean(8.941634471765244+10*(array_x)/9.358958433159057*6.611228015608026, axis=1)) |
np.mean(10*(np.cos(2*np.pi*np.cumsum(np.sin(2*np.pi*np.sin(2*np.pi*1.3743576407553788))+np.square((np.dot(array_x, np.array([[0.007473495328428781, 0.47545165916512133], [0.6848575457317222, 0.8145957270835769]]))))+np.square((np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T))*np.square(7.454527746423421)*8.508473422562169+(np.dot(array_x, np.array([[0.5509329239772418, 0.47447171375786634], [0.701815701229985, 0.7489303041540806]]))), axis=1))), axis=1) |
np.mean(10*(7.881742595419778*array_x-2.0148124323188648*3.8415534799941464), axis=1) |
np.amax(array_x*9.64314708471458, axis=1)/np.sin(2*np.pi*np.sin(2*np.pi*7.673197624629296))-9.758825195857952 |
np.mean(np.square(-(np.sqrt(abs(9.102424307582126)))*(np.dot(array_x, np.array([[0.2981385466277665, 0.21573567774799962], [0.821617681781389, 0.5130519042760979]])))+3.3083433741616606), axis=1) |
np.mean(np.square(np.exp(2.806688028662821)*(np.array(range(1, array_x.shape[1]+1)))+array_x-(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)+5.519515264787985)-np.log(abs(np.sqrt(abs(9.271641884398473)))), axis=1) |
np.mean(np.cumsum(np.square(10*(3.7818791279747384)*6.485015036197455+array_x), axis=1), axis=1) |
np.mean(np.log(abs(np.round(7.310460502572464+array_x*array_x))), axis=1)+10*(np.sin(2*np.pi*np.mean(np.log(abs(np.round(6.813239318863032+array_x*array_x))), axis=1))) |
np.round(np.mean(10*(3.468767953860757+array_x), axis=1)) |
np.mean(np.log(abs(np.round(array_x-9.666013801882258)*(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)*10*(9.18677978138661)-(np.dot(array_x, np.array([[0.37822669082854576, 0.9200293671048351], [0.19798320268888792, 0.4147933156711785]])))*5.776027799435026-(np.array(range(1, array_x.shape[1]+1)))))+np.exp(np.square(-(2.2863387413724485))), axis=1)+10*(np.sin(2*np.pi*np.mean(np.log(abs(np.round(array_x-9.391184399031257)*(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)*10*(2.574972382078388)-(np.dot(array_x, np.array([[0.45615940660356213, 0.7037553178116251], [0.5367273403400779, 0.28224311902205523]])))*8.252832990930289-(np.array(range(1, array_x.shape[1]+1)))))+np.exp(np.square(-(2.4376002226494844))), axis=1))) |
np.sum(np.square(np.exp(np.sqrt(abs(3.395710681435194)))+array_x*np.square(array_x)/6.014125618917113+array_x-6.819976167402513-3.6054357862323076), axis=1)+np.sin(2*np.pi*np.sum(np.square(np.exp(np.sqrt(abs(7.729675231135806)))+array_x*np.square(array_x)/1.713741947985994+array_x-5.9100285513799715-4.144191630467358), axis=1)) |
np.mean(np.cumsum(np.cos(2*np.pi*6.896983482993959)+10*((np.dot(array_x, np.array([[0.452607745654379, 0.7122890852229874], [0.09802937210986007, 0.4077277041464794]])))+(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T))-(np.dot(array_x, np.array([[0.8814603380616416, 0.8041499440307387], [0.5584971255924313, 0.776547452637205]])))*5.548235604324107, axis=1), axis=1) |
np.mean(9.543577146601521-array_x*3.7910772083143858, axis=1)+np.sin(2*np.pi*np.mean(3.8401548774833976-array_x*2.239355768989272, axis=1)) |
np.mean(np.exp(6.797359543855887+np.square((np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T))*7.034159710092775+array_x+array_x-array_x-6.6699395085206215), axis=1) |
np.mean(np.square(np.sin(2*np.pi*np.exp(1.3240559591354728))+6.184853945441186+(np.array(range(1, array_x.shape[1]+1)))*array_x/abs(1/(2.226359819685936))), axis=1) |
np.mean(8.75142099036999*array_x+1/(1.8295452918960262)-array_x/np.sin(2*np.pi*array_x-3.4156963645421516+(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)), axis=1)+10*(np.sin(2*np.pi*np.mean(7.538026549612012*array_x+1/(5.814579427351163)-array_x/np.sin(2*np.pi*array_x-3.222363002015725+(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)), axis=1))) |
np.mean(8.786084033101002*np.exp(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)-np.log(abs(5.674848334150376)), axis=1) |
np.mean(np.square(6.258514130009839*6.022932539053962-(np.dot(array_x, np.array([[0.47801195398585616, 0.335424962843062], [0.028680836971050394, 0.6491252474175685]])))-np.sqrt(abs((np.dot(array_x, np.array([[0.656522453274612, 0.3545435476882741], [0.41148657362086716, 0.5682128163704875]])))*(np.array(range(1, array_x.shape[1]+1)))*array_x*8.558733325927044/5.684181094009539-(np.array(range(1, array_x.shape[1]+1)))*array_x))), axis=1) |
np.mean(np.square(np.exp(4.227242109589248-6.143562654677958*array_x/2.1198338737818574)+array_x*1.2221920926341898), axis=1) |
np.square(5.581115880338627+np.sin(2*np.pi*array_x[:,0]))-9.386592783672894+np.sum(array_x, axis=1)+8.545014429244247 |
np.mean(np.exp(6.662958683659809+np.cos(2*np.pi*array_x-np.exp(7.367927313493296))), axis=1) |
np.mean(6.0890356624577056+9.513411577111109-array_x*np.square(2.62773731801913)-np.square(8.040273934661927), axis=1) |
np.amax(np.square(1.9406150061422247)--(array_x)*np.square(array_x), axis=1)+10*(np.sin(2*np.pi*np.amax(np.square(9.252417153529123)--(array_x)*np.square(array_x), axis=1))) |
np.round(np.mean(abs(10*(9.596310141871264)*array_x)*abs(6.287714195067835)-2.2067542705889744, axis=1)) |
4.046069547726576+10*(5.902399190947533)*np.sin(2*np.pi*np.cos(2*np.pi*np.mean(array_x, axis=1))) |
np.mean(1.822118030542458-np.square(array_x-5.7807438541840614)*2.6260954371677965*array_x+np.square(5.995048166095677), axis=1) |
np.mean(np.sin(2*np.pi*9.157310991438088)+np.exp(np.sqrt(abs(array_x))+3.2741839179435592), axis=1) |
np.mean(np.square(np.cos(2*np.pi*np.log(abs(np.square(array_x)-3.429912297240028+5.750324954097648*np.cos(2*np.pi*array_x)))))-3.2628545900222385/3.3468005605285693-(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)+9.333235053279, axis=1)+10*(np.sin(2*np.pi*np.mean(np.square(np.cos(2*np.pi*np.log(abs(np.square(array_x)-6.660385604710657+9.62083360322357*np.cos(2*np.pi*array_x)))))-3.106918987162173/8.219922033964083-(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)+5.225309753579747, axis=1))) |
np.mean((np.array(range(1, array_x.shape[1]+1)))-3.5939338542112074-np.sin(2*np.pi*9.679709395331475)*5.095087332705947-array_x+np.square(array_x*4.4042419851968075), axis=1) |
abs(np.sum(np.square(np.square(np.cos(2*np.pi*7.130944198986931)+array_x)+6.320472863775371+3.4933191575887634), axis=1))+np.sin(2*np.pi*abs(np.sum(np.square(np.square(np.cos(2*np.pi*9.174338678996381)+array_x)+2.32041785020023+8.731384709963422), axis=1))) |
np.square(np.round(np.mean(np.sqrt(abs(array_x)), axis=1))+10*(2.6529694355395135)/np.cos(2*np.pi*7.553712960410204))+np.sin(2*np.pi*np.square(np.round(np.mean(np.sqrt(abs(array_x)), axis=1))+10*(3.267572987393396)/np.cos(2*np.pi*7.754378363609026))) |
np.square(np.sqrt(abs(7.124027194311242))+np.mean(10*(np.exp(array_x)), axis=1))/np.amax(np.square(1/(6.994603195861472+array_x*array_x)+6.578360927857578), axis=1) |
np.mean(10*(10*((np.dot(array_x, np.array([[0.34605028375242586, 0.9406969904518666], [0.3558793695970013, 0.9651485919997538]])))+3.70497295201553/np.exp(array_x+7.165974478164397))), axis=1) |
np.sum(np.sin(2*np.pi*1.7273263909762189)-1/(np.log(abs(array_x-(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T))))+1.3661207117313232-array_x-(np.vstack((array_x[:,1:].ravel(), np.zeros((len(array_x), 1)).ravel())).T)/np.square(5.893031593271196), axis=1) |
np.mean(np.square(np.cumsum(3.23905211889075*array_x, axis=1)-np.round(1.2882473927754625)), axis=1) |
np.mean(7.207011648215009-np.sqrt(abs(1.478560273770623-array_x))/5.999664534853646+array_x, axis=1)+10*(np.sin(2*np.pi*np.mean(6.198169725207824-np.sqrt(abs(2.133783454834971-array_x))/3.459763561332748+array_x, axis=1))) |
np.mean(-(np.cumsum(array_x, axis=1))/np.cos(2*np.pi*8.084943937335527)+7.4354919703764395*np.round(np.sqrt(abs(5.339066939499228+array_x)))+7.8070332591827665, axis=1) |
np.mean(np.sqrt(abs(np.cos(2*np.pi*np.sin(2*np.pi*array_x))))-np.cos(2*np.pi*9.797162030625275), axis=1)+10*(np.sin(2*np.pi*np.mean(np.sqrt(abs(np.cos(2*np.pi*np.sin(2*np.pi*array_x))))-np.cos(2*np.pi*1.6555636359559884), axis=1))) |
np.mean(np.log(abs(np.square(np.square(2.676049968904109))*abs(np.cos(2*np.pi*np.square((np.array(range(1, array_x.shape[1]+1)))*array_x))))), axis=1) |
np.sum(1/(np.log(abs(np.square(9.604061019992349))))-array_x*3.84485735755521, axis=1)+np.sin(2*np.pi*np.sum(1/(np.log(abs(np.square(6.31022039132745))))-array_x*7.681847097279229, axis=1)) |
np.sum(np.cumsum(np.square(2.196719454927316)*np.sin(2*np.pi*3.9505818169844003-array_x), axis=1), axis=1) |
np.mean((np.dot(array_x, np.array([[0.5856638633048933, 0.8390377703890007], [0.23365630964188322, 0.22050211011761134]])))+1.4750883901508818+4.7545015619766104/np.square(np.sin(2*np.pi*6.547394235212071)-array_x), axis=1)+np.sin(2*np.pi*np.mean((np.dot(array_x, np.array([[0.3584065665712237, 0.813052729280338], [0.630916657857023, 0.07675146978088754]])))+6.449170094709349+7.122894551875738/np.square(np.sin(2*np.pi*6.453853112747703)-array_x), axis=1)) |