mini(FILE *bin) : enemy(0, bin, MASS, RADIUS, SPRING, DAMP, ACCEL, RESPONSIVENESS), color(colors[rand() % colors.size()]) { }
inline V evaluate_odd_polynomial(const boost::array<T,N>& a, const V& z) { typedef mpl::int_<N-1> tag_type; return a[0] + z * detail::evaluate_polynomial_c_imp(static_cast<const T*>(a.data()) + 1, V(z*z), static_cast<tag_type const*>(0)); }
inline mutable_buffer_container_1 buffer(boost::array<Pod_Type, N>& data) { return mutable_buffer_container_1( mutable_buffer(data.c_array(), data.size() * sizeof(Pod_Type))); }
virtual vec4 sphere_color(float) { return colors[board::current()->tick_count() % colors.size()]; }
void test() { std::cout << "Testing type " << typeid(T).name() << std::endl; static const boost::array<const char*, 51u> data = {{ "1.00000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000", "9.47747587596218770242116751705184563668845029215054154915126374673142219159548534317576897266130328412495991561490384353e76", "8.98225489794452370997623936390755615068333094834545092387689795875746440121970819499035111276893290879203289092353747850e153", "8.51291041070124257524798251795398355552294928156627848633073113916721592074889256105483993631579761345100284245144410506e230", "8.06809030516483860484254925989129017112482132468761563276276594763374886826841745433660192438855214332469192411759402790e307", "7.64651312322841630493169711336894888932951818957138997327518186691187347879142222644283389432604713409023263917264358401e384", "7.24696436606255985380192585665173794455118215150711210905481870053193336336731228464367470327868286988180495111406609690e461", "6.86829299533155197480610865771404565313986987801060270120621935139741577246731459024227828759564450034267891072352816870e538", "6.50940811722948585242669672360741252715012399316164518226061001845519670701239429603657927628755169479689062519606799624e615", "6.16927583978348964454665652571294215251327375137123272041877979478545511090085756858225302357977159539777447847855503405e692", "5.84691629437043896753869572004324228849833391140408095171257918435296982661233664069534601413835876272500275725690968474e769", "5.54140081286660645835370762406928689330724181979654545550204201113926269281603301564114980528619942840737770415885783439e846", "5.25184925229805200184933663459660562493261505058724212670923083643709964294855282715531768162298567379648573804433968486e923", "4.97742745928448409225535325233998957076879979440190164347796593390995994951755710667491911026476108957070504003155645761e1000", "4.71734486697204622371883518659702954552385115723942808636490157561056417525827884479573988899517566587636669779645610803e1077", "4.47085221753216236037602345430121605512330975424643767098987010800161616413051148037751552110081034066081309007796182114e1154", "4.23723940366531198300986713567588008777043812458400705569721660157434941774066620870256745107265536124077734836797938268e1231", "4.01583342289144005397455901781647949754375366066998182220342540048111140676724909947493787596336610499122085983712119281e1308", "3.80599643873362813900306284477369187319506389058898599816705625750135796510808933786432614186155972485637939057212164098e1385", "3.60712394320959592074309301816510372687695286650188776957291994751966018917404878612237961367128638199290387601511358836e1462", "3.41864301533745457066062991907289263038319874930395315315257927161138360206596116102724713069518697248463965164712972907e1539", "3.24001067063873569456703204286462007769933831045558617578289414699244767403736057931834775727420762410328297596596814910e1616", "3.07071229688386868087623659761166306563170839771162347830514606977592027644137144160294469813988158463967740978461420862e1693", "2.91026017157373047094077218552378456052150304677863670611408570458991015300131731261787644801415538043027268185097710615e1770", "2.75819205688636078700279174380111581147323147951670302427494196210176478494486073721584055059489736040565979466551070179e1847", "2.61406986804110104534167739704643351039975992759905579635058824027507742375380077276380178376470686987855503581867681046e1924", "2.47747841124391945459619002346303925269640785743990333362087223895627681769816204236257960940497519376881830373722711456e2001", "2.34802418757813746316913800667907927718925648696508255347624141597281474683823345136640610924639820192825966082309575303e2078", "2.22533425939475124828943430510333464605535146852848680647615867629953075390889821397228584866395924176189346073006180260e2155", "2.10905517593659363154553947631071808925462553114068144748077359132255993441363479041540672158497404660986163617828972963e2232", "1.99885195510122536266653916064141606295420554580140619900425370702471778604391774578696867899999534265169574306808906810e2309", "1.89440711840917173277691572886942144916664047407963356271198286654087884646102070148271284410118233470318337745546895603e2386", "1.79541977639739687088375911648976940254141946934175300605485966288703931992861387257771264702798405630917098672594899744e2463", "1.70160476180317540861346545791118106171203487587101437710693054174454895160403997508137760007058856854991413121389834429e2540", "1.61269180804119796097157014527479883521656118500417752963675677684343588976915851637637232001139108420659882326614772004e2617", "1.52842477060722969066998464046690349841548269556677423378408183476489015878816585045578141383463708674469365281537792914e2694", "1.44856088916530600122626623629347336702026699647293500058111037526381692645547938577338582002157148103479049071921438452e2771", "1.37287008819265239873777879432333192404914357037749380145412895230166352318128978403808382142784030558123748263528360645e2848", "1.30113431416759441771790128053911040907207490879890145597562380328956450092799014856149474809345424672958343296615764490e2925", "1.23314690739099822369963411660419632130352733806319401863570442920347696015409870236230656305563674376063778482449716744e3002", "1.16871200663155636468514484039368694043851858077879103221831997264419096417014996945143145495038265243932745953706526253e3079", "1.10764398487979357804590117089134596938734185016144401218934115168561552640448889215089150481162977776214124397487013110e3156", "1.04976691458528698318220729857405616816444374000182094405930946710168752954926612218474430081526312018810817657409158490e3233", "9.94914060836531582868347569174220216007647278536863127198023584205669825317884219144692385409156165042162234017403353704e3309", "9.42927401023380446961314339401657458785389811652244742482194123119943160577946366372207045050095290781679375214307398844e3386", "8.93657169598281164656322298275337750103095739790107943666668184304335665562867744740310577868880098719252549186849812451e3463", "8.46961426624835911826517103631490619655296714141872141145089865045804196205328364155921945616925875458926717336478525196e3540", "8.02705648870740089929294815816002943860908317454595055392168733404583122074223427054310572378841634984243492063192095337e3617", "7.60762342267101369970765191988545810374824800500875923752736467467657167098026707905341603949108433696304383346239333297e3694", "7.21010674617694221027190468649359000420209460539838589305387835463807416706224777302997789297329446308541513638035437482e3771", "6.83336127500041943234365059231968669406267422759442985746460610830503287734479988530512309065240678799786759250323660701e3848", }}; T pi = static_cast<T>("3.141592653589793238462643383279502884197169399375105820974944592307816406286208998628034825342117067982148086513282306647093844609550582231725359408128481117450284102701938521105559644622948954930381964428810975665933446128475648233786783165271201909145648566923460348610454326648213393607260249141273724587006606315588174881520920962829254091715364367892590360011330530548820466521384146951941511609"); unsigned max_err = 0; for(unsigned k = 0; k < data.size(); k++) { T val = exp(sqrt((pi * (100 * k)) * (100 * k))); T e = relative_error(val, T(data[k])); unsigned err = e.template convert_to<unsigned>(); if(err > max_err) { max_err = err; } val = exp(-sqrt((pi * (100 * k)) * (100 * k))); e = relative_error(val, T(1/T(data[k]))); err = e.template convert_to<unsigned>(); if(err > max_err) { max_err = err; } } std::cout << "Max error was: " << max_err << std::endl; #if defined(BOOST_INTEL) && defined(TEST_FLOAT128) BOOST_TEST(max_err < 40000); #else BOOST_TEST(max_err < 5000); #endif static const boost::array<boost::array<T, 2>, 10> exact_data = {{ {{ std::ldexp(1.0, -50), static_cast<T>("1.00000000000000088817841970012562676935794497867573073630970950828771105957980924149923657574337470594698012676100224953") }}, {{ std::ldexp(1.0, -20), static_cast<T>("1.00000095367477115374544678824955687428365188553281789775169686343569285229334215539516690752571791280462887427635269562") }}, {{ std::ldexp(1.0, -10), static_cast<T>("1.00097703949241653524284529261160650646585162918174419940186408264916250428896869173656853690882467186075613761065459261") }}, {{ 0.25, static_cast<T>("1.28402541668774148407342056806243645833628086528146308921750729687220776586723800275330641943955356890166283174967968731") }}, {{ 0.5, static_cast<T>("1.64872127070012814684865078781416357165377610071014801157507931164066102119421560863277652005636664300286663775630779700") }}, {{ 0.75, static_cast<T>("2.11700001661267466854536981983709561013449158470240342177913303081098453336401282000279156026661579821888590471901551426") }}, {{ 10, static_cast<T>("22026.4657948067165169579006452842443663535126185567810742354263552252028185707925751991209681645258954515555010924578367") }}, {{ 10.5, static_cast<T>("36315.5026742466377389120269013166179689315579671275857607480190550842856628099187749764427758174866310742771977376827512") }}, {{ 25, static_cast<T>("7.20048993373858725241613514661261579152235338133952787362213864472320593107782569745000325654258093194727871848859163684e10") }}, {{ 31.25, static_cast<T>("3.72994612957188849046766396046821396700589012875701157893019118883826370993674081486706667149871508642909416337810227575e13") }}, }}; max_err = 0; for(unsigned k = 0; k < exact_data.size(); k++) { T val = exp(exact_data[k][0]); T e = relative_error(val, exact_data[k][1]); unsigned err = e.template convert_to<unsigned>(); if(err > max_err) { max_err = err; } val = exp(-exact_data[k][0]); e = relative_error(val, T(1/exact_data[k][1])); err = e.template convert_to<unsigned>(); if(err > max_err) { max_err = err; } } std::cout << "Max error was: " << max_err << std::endl; BOOST_TEST(max_err < 10); BOOST_TEST(exp(T(0)) == 1); }
using namespace edm; typedef std::vector< std::vector<bool> > Answers; typedef std::vector<std::string> Strings; typedef std::vector<Strings> VStrings; typedef std::vector<bool> Bools; typedef std::vector<Bools> VBools; // Name all our paths. We have as many paths as there are trigger // bits. size_t const num_trig_paths = 8; boost::array<char const*, num_trig_paths> cpaths = {{ "ap1", "ap2", "aq1", "aq2", "bp1", "bp2", "bq1", "bq2", }}; Strings trigger_path_names(cpaths.begin(),cpaths.end()); struct PathSpecifiers { Strings path; PathSpecifiers (std::string const & s0, std::string const & s1 = "", std::string const & s2 = "", std::string const & s3 = "", std::string const & s4 = "", std::string const & s5 = "", std::string const & s6 = "", std::string const & s7 = "",
array(const boost::array<T, N> &array, const context &context = system::default_context()) : m_buffer(context, sizeof(T) * N) { boost::compute::copy(array.begin(), array.end(), begin()); }
T* data() { return buf.data(); }
carray( boost::array<T,N> & orig) : m_t( orig.c_array() ), m_element_count( N ) { if (m_element_count == 0) m_t = 0; }
void test() { std::cout << "Testing type " << typeid(T).name() << std::endl; static const boost::array<const char*, 101u> data = {{ "-2.37609908807915949996042688873953402912174184373388399043229539427530802169622688886435380890546981798452174137747437590e-1", "8.03406366226813589517543567844755380935198206635917017883860879215939165740799963435747185200486086864198723786516760875e-1", "8.60219386510802105228997694366289682807721120146423711696179175800635220710279361583231346318224971127450760223168489952e-1", "-1.36768951513839774357595871594675554406872039078811749027554673949684004409484639336417431285061889554892096426752261915e-1", "-9.66210139195431691033548069227792927999642647449593184440815029076272297050360196975341458076547426373476590671462150981e-1", "-6.12007278553856790723803948280976098970972124581361775428331444376106018942231526074915731012122426588769327127413045994e-1", "4.91927698740873688392439262912409276430264703350691359723802294639643655296838880236042651349290074585311025856549893171e-1", "9.93232596718899824059271235487971663771012607519717340071654721877802691370866768064059943491135925674950430467047724563e-1", "2.77789911520199551017947550534057049374212876971194676010301098598339529915403722848373365985645657342475739669568931563e-1", "-7.77955945956221239101360662190442739163791527953499629555756394261998892874934847131138921705713935365505245406994428077e-1", "-8.80676278306736581575818642341143682410874043182925227659938804267878718513212454821032629378618345485453587099696563832e-1", "9.54652155963865007116798560589970996367213754762169439269792747771200843006278637115722685610960738675814993576019945344e-2", "9.54658201427917718824191302196929158303422390793460018465335986921801519149657723689322277773550748806000948225466432438e-1", "6.44358700620889799575033272322899136331490664925359198096632560532437137894857803619177106562399406351419810452110265174e-1", "-4.55304635273050571206400777159475409897339683148730716647371922365967582339285347105376503917296765204188604297021364549e-1", "-9.97202532932553753622481171186283382950122646390227670693679248197349800205205290898290539070732778341271049474946533154e-1", "-3.17489525058325500707686194437148362752290391406825231198381521862930317513649081353670386166519524315810546189268634469e-1", "7.51160186640147504067744846462384089742696250681200524524912647858645140367792164416711871535116761744380912486921554617e-1", "8.99610194168373157174515848193119670768490559799348397680196213249921436405001710937402190319584272526657508442591319630e-1", "-5.39963892484342940823660554048696208293700871414984387094529796385334086703752106515008832585578915389731907422242902573e-2", "-9.41455348900839346761557896365239742769987576963330061702397697388879776230596944312519157729410022380228287314835345969e-1", "-6.75595816763857390859268297670835380459024839344154743310231115864242050771191159334664874097564054770066166961642073448e-1", "4.17894201894880415042381733708896725748531223743344790054523182948440843948904650988733732381978194392219295696279423635e-1", "9.99447981389824371458566861195586395552622718284098766856978062347139060489410032781030191080200904443096549587568037683e-1", "3.56640095868759075150409032448421838265699043643228482503057299699740924345262819242042067863780263400092250418388628640e-1", "-7.23065426868134142613141384486526262450487633432466529798821958977732347646832059032382447792655111641456570392189752211e-1", "-9.16988391192434436877664999042786024703848714036221388727578305299843547352325574309860356272561772723624753484063972217e-1", "1.24341855683226931265962750806821531283439413068694552738675989282017066737438591268502070364982899342633928417210588531e-2", "9.26624413643579136646620112107410908114766812511471130116341925013001661546817531064974089666536893346764523464250445838e-1", "7.05664607841658050248613256866289182754229289446384595719719495272020558391145537620968819401219414243210529013148958366e-1", "-3.79761093422301890838671114556341706055562482358183402807224298533060188038450560241345615647754569347252101282386222173e-1", "-9.99965058979463689113370264378210962384824970050865061898892508056811665771886385589295806419278045318841717598003331419e-1", "-3.95173919871548266286836251448043149039940610894391718791244019288314418437411707835924620250473697245151743147215758686e-1", "6.93720251624319621941983929806434090162802383400620564454074825718151625795576680427510026452063593762417421561201654156e-1", "9.32780816819880202610269817418700102084277332259524791943833699964920012022753227823298655560837271746316929623378078695e-1", "2.91495208658083070508005579692813621670878962971611104453227900103973434149303469066898102622556226584993895360896300290e-2", "-9.10191043170480685360743788297835112117551819731152897291272407935139876953384666161532187572493791297095784055525159185e-1", "-7.34513075127503122343910106816656237074878218180284276449954797048122379869002663646507706411949095015624141821039453971e-1", "3.40971254411713599427147477626159847871020791931107106418841144080445813896332252160005593096670674809345703079384115052e-1", "9.98752871506016936810666998588493462933191829230756181478046320353377054175122206889047094521687205093218701141334147081e-1", "4.33024359542714849537532946954507232835434973891665238942502273464321666207117525270650546741831354943253652514490075246e-1", "-6.63175408268187738636594884921931867786416057472876635147295424128144233911929585327601381618059327766986981109409782838e-1", "-9.46960160806563725719808910991708075372282242401645009270517113290439792088443109178772446465191984149998211903724560065e-1", "-7.06828182905581345108929510344440443421290640066613022421187316650733628538705972455891575947230299102119854983197703150e-2", "8.92183656127948379886438402777950080111433733329436790239129260607557296960582455582584117031260710927499215646838011844e-1", "7.62091330231640362984555508176991632755732840163230620595759320390970951235395195394649584713540498911356433919369698423e-1", "-3.01591765120371930643555588643712101466544136366607065361801475091335195383846047491935017919396438040414024941341524187e-1", "-9.95813515236177554177387795413035497724212540625760091518605741283184405719984044075159457509720410668598540884613985023e-1", "-4.70125959152223022135690700550251564040118601846181392455764893020377582359429013073566263451488554529709131439092909247e-1", "6.31483718775865440843182928017874708719203714677143270278178885379757350754752477512514449375355491054871712891789652146e-1", "1.00000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000", "3.87481045630097871028201331640164477694000480353342897357083794605539506785023570062767753819472037935010414476627195076e-1", "-6.99716878554812023132822640034166338740077082416915046841339368979161296335086955803240899441098534898926193252558848693e-1", "-9.29735101124991407032113033015438177585645722877060262785796302722011806301680288369763295777635760805579255008366302180e-1", "-2.07925797310208845709174899248298159909010721767168338004516304026594885686024530923209628704670627250569637267490913462e-2", 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relative_error(val, T(data[k])); unsigned err = e.template convert_to<unsigned>(); if(err > max_err) max_err = err; val = cos(-euler_gamma * ((100 * k) - 5000)); e = relative_error(val, T(data[k])); err = e.template convert_to<unsigned>(); if(err > max_err) max_err = err; } std::cout << "Max error was: " << max_err << std::endl; BOOST_TEST(max_err < 5000000000ULL); static const boost::array<const char*, 51u> near_one = {{ "0.001103662615143147017601393734232421549156847219973314118949247990939859507971857976111288683988415478257878902917354105871236439563170045857810738102729287303674642020538722348587741395785016549139854168605590336633274890874911975139498047488076101124170425114828336211817830671418321600962996502656221412102902998671173649312277667706874059520046508702908872747388744526457997404065469953155187340837", 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"0.094652007302340089278624856973167138217258137565762699413364163993950641989798336903224059425798872308451866930780842878435503832366316245159154044350517727312654980455290163514021860802028251981954724580292247887851185639950862672925642859475325430465650514258094310141033116303195908372018392349011340787373492402788283020594141795669947097771918542864972570255253465754192708165241608041715996375567", "0.09655529472977379853549858833033074225823562054271495313739665642376685099661084023094270272485976247900824483810911634635819558334630910267353320029261330296977292720266655308513559530586843550229208517388789783011887450865488554143475302590353915732321663418057567573042594801866258948380684000769091353165879953111046260532796891917772727185993569684246844052518121013717183610828519193371796413317", }}; T half_pi = static_cast<T>("1.57079632679489661923132169163975144209858469968755291048747229615390820314310449931401741267105853399107404325664115332354692230477529111586267970406424055872514205135096926055277982231147447746519098221440548783296672306423782411689339158263560095457282428346173017430522716332410669680363012457064"); max_err = 0; for(unsigned k = 0; k < near_one.size(); k++) { static const T euler_gamma = static_cast<T>("5.77215664901532860606512090082402431042159335939923598805767234884867726777664670936947063291746749514631447249807082480960504014486542836224173997644923536253500333742937337737673942792595258247094916008735203948165670853233151776611528621199501507984793745085705740029921354786146694029604325421519e-1"); T val = cos(half_pi - (euler_gamma + k) / 523); T e = relative_error(val, T(near_one[k])); unsigned err = e.template convert_to<unsigned>(); if(err > max_err) max_err = err; val = cos(-half_pi + (euler_gamma + k) / 523); e = relative_error(val, T(near_one[k])); err = e.template convert_to<unsigned>(); if(err > max_err) max_err = err; } std::cout << "Max error was: " << max_err << std::endl; BOOST_TEST(max_err < 750); // // Test with some exact binary values as input - this tests our code // rather than the test data: // static const boost::array<boost::array<T, 2>, 8> exact_data = {{ {{ 0.5, static_cast<T>("0.877582561890372716116281582603829651991645197109744052997610868315950763274213947405794184084682258355478400593109053993") }}, {{ 0.25, static_cast<T>("0.968912421710644784144595449494189199804134190287442831148128124288942561184523327264655202799685025510352709626116202617") }}, {{0.75, static_cast<T>("0.731688868873820886311838753000084543840541276050772482507683220220750082501569499540967562610201174960122884908227300721") }}, {{std::ldexp(1.0, -20), static_cast<T>("0.99999999999954525264911357034690133684385823577463126432241468890539365027135494672267164697779879113636143901797362388") }}, {{ 2, static_cast<T>("-0.416146836547142386997568229500762189766000771075544890755149973781964936124079169074531777860169140367366791365215728559") }}, {{ 5, static_cast<T>("0.283662185463226264466639171513557308334422592252215944930359066586151456767382702286176981668344573238827368717546699737") }}, {{ 10, static_cast<T>("-0.839071529076452452258863947824064834519930165133168546835953731048792586866270768400933712760422138927451054405350243624") }}, {{ 8.5, static_cast<T>("-0.60201190268482361534842652295699870029606776360435523539636606145572515876770619546025351418378467287262574566665150299") }} }}; max_err = 0; for(unsigned k = 0; k < exact_data.size(); k++) { T val = cos(exact_data[k][0]); T e = relative_error(val, exact_data[k][1]); unsigned err = e.template convert_to<unsigned>(); if(err > max_err) max_err = err; val = cos(-exact_data[k][0]); e = relative_error(val, exact_data[k][1]); err = e.template convert_to<unsigned>(); if(err > max_err) max_err = err; } std::cout << "Max error was: " << max_err << std::endl; BOOST_TEST(max_err < 20); BOOST_TEST(cos(T(0)) == 1); BOOST_TEST(fabs(cos(half_pi)) < std::numeric_limits<T>::epsilon()); }
BlockType NoPreviewBlockChooser::GetNext (const Well *well, const Queue &q) { assert(q.empty()); boost::array<long,7> finalScores; for(int t=0;t<7;++t) { BestScoreVisitor v; Searcher searcher (BlockType(t), well, BlockPosition(), &v ); finalScores[t] = v.GetScore(); } //perturbes scores to randomize tie handling BOOST_FOREACH (long &i, finalScores) i+=(rand()%100); //sorts boost::array<long,7> temp(finalScores); sort(temp.begin(),temp.end()); //returns the pos-th block, where pos is random static const boost::array<int,7> blockPercentages = { { 80, 92, 98, 100, 100, 100, 100 } }; int pos = find_if ( blockPercentages.begin(), blockPercentages.end(), bind2nd( greater_equal<int>(), rand()%100 ) ) - blockPercentages.begin(); assert(pos>=0 && pos<7); int chosenBlock = find ( finalScores.begin(), finalScores.end(), temp[pos] ) - finalScores.begin(); return BlockType(chosenBlock); }
BlockType BastetBlockChooser::GetNext (const Well *well, const Queue &q) { boost::array<long,7> mainScores = ComputeMainScores (well,q.front()); boost::array<long,7> finalScores=mainScores; //perturbes scores to randomize tie handling BOOST_FOREACH(long &i, finalScores) i+=(rand()%100); //prints the final scores, for debugging convenience for(int i=0;i<7;++i) { //mvprintw(i,1,"%c: %d",GetChar(BlockType(i)),finalScores[i]); } //the mainScores alone would give rise to many repeated blocks (e.g., in the case in which only one type of block does not let you clear a line, you keep getting that). This is bad, since it would break the "plausibility" of the sequence you get. We need a correction. boost::array<long,7> temp(finalScores); sort(temp.begin(),temp.end()); //always returns the worst block if it's different from the last one int worstblock=find ( finalScores.begin(), finalScores.end(), temp[0] ) -finalScores.begin(); if(BlockType(worstblock) != q.front()) return BlockType(worstblock); //otherwise, returns the pos-th block, where pos is random static const boost::array<int,7> blockPercentages = { {80, 92, 98, 100, 100, 100, 100} }; int pos=find_if ( blockPercentages.begin(), blockPercentages.end(), bind2nd(greater_equal<int>(),rand()%100) ) - blockPercentages.begin(); assert(pos>=0 && pos<7); int chosenBlock=find ( finalScores.begin(), finalScores.end(), temp[pos] ) -finalScores.begin(); return BlockType(chosenBlock); //return BlockType(min_element(finalScores.begin(),finalScores.end())-finalScores.begin()); //return BlockType(rand()%7); }
inline V evaluate_rational(const boost::array<T,N>& a, const boost::array<U,N>& b, const V& z) { return detail::evaluate_rational_c_imp(a.data(), b.data(), z, static_cast<mpl::int_<N>*>(0)); }
explicit Center(const Center<D-1> &c, const double &additional_coord): Center_base(c.r, c.intensity) { std::copy(c.coords.begin(), c.coords.end(), coords.begin()); coords.back() = additional_coord; };
bool header::valid() const { return ::memcmp( sentinel.data(), &sentinel_[0], sentinel_.size() ) == 0; }
const T* data() const { return buf.data(); }
uint64_t handler::parse_request(size_t size) { return parse(m_buffer.data(), size); }
void CharacterCreation::showClassQuestionDialog() { if (mGenerateClassStep == 10) { static boost::array<ClassPoint, 23> classes = { { {"Acrobat", {6, 2, 2}}, {"Agent", {6, 1, 3}}, {"Archer", {3, 5, 2}}, {"Archer", {5, 5, 0}}, {"Assassin", {6, 3, 1}}, {"Barbarian", {3, 6, 1}}, {"Bard", {3, 3, 3}}, {"Battlemage", {1, 3, 6}}, {"Crusader", {1, 6, 3}}, {"Healer", {3, 1, 6}}, {"Knight", {2, 6, 2}}, {"Monk", {5, 3, 2}}, {"Nightblade", {4, 2, 4}}, {"Pilgrim", {5, 2, 3}}, {"Rogue", {3, 4, 3}}, {"Rogue", {4, 4, 2}}, {"Rogue", {5, 4, 1}}, {"Scout", {2, 5, 3}}, {"Sorcerer", {2, 2, 6}}, {"Spellsword", {2, 4, 4}}, {"Spellsword", {5, 1, 4}}, {"Witchhunter", {2, 3, 5}}, {"Witchhunter", {5, 0, 5}} } }; int match = -1; for (unsigned i = 0; i < classes.size(); ++i) { if (mGenerateClassSpecializations[0] == classes[i].points[0] && mGenerateClassSpecializations[1] == classes[i].points[1] && mGenerateClassSpecializations[2] == classes[i].points[2]) { match = i; mGenerateClass = classes[i].id; break; } } if (match == -1) { if (mGenerateClassSpecializations[0] >= 7) mGenerateClass = "Thief"; else if (mGenerateClassSpecializations[1] >= 7) mGenerateClass = "Warrior"; else if (mGenerateClassSpecializations[2] >= 7) mGenerateClass = "Mage"; else { std::cerr << "Failed to deduce class from chosen answers in generate class dialog" << std::endl; mGenerateClass = "Thief"; } } MWBase::Environment::get().getWindowManager()->removeDialog(mGenerateClassResultDialog); mGenerateClassResultDialog = 0; mGenerateClassResultDialog = new GenerateClassResultDialog(); mGenerateClassResultDialog->setClassId(mGenerateClass); mGenerateClassResultDialog->eventBack += MyGUI::newDelegate(this, &CharacterCreation::onGenerateClassBack); mGenerateClassResultDialog->eventDone += MyGUI::newDelegate(this, &CharacterCreation::onGenerateClassDone); mGenerateClassResultDialog->setVisible(true); return; } if (mGenerateClassStep > 10) { MWBase::Environment::get().getWindowManager()->popGuiMode(); MWBase::Environment::get().getWindowManager()->pushGuiMode(GM_Class); return; } MWBase::Environment::get().getWindowManager()->removeDialog(mGenerateClassQuestionDialog); mGenerateClassQuestionDialog = 0; mGenerateClassQuestionDialog = new InfoBoxDialog(); InfoBoxDialog::ButtonList buttons; mGenerateClassQuestionDialog->setText(sGenerateClassSteps(mGenerateClassStep).mText); buttons.push_back(sGenerateClassSteps(mGenerateClassStep).mButtons[0]); buttons.push_back(sGenerateClassSteps(mGenerateClassStep).mButtons[1]); buttons.push_back(sGenerateClassSteps(mGenerateClassStep).mButtons[2]); mGenerateClassQuestionDialog->setButtons(buttons); mGenerateClassQuestionDialog->eventButtonSelected += MyGUI::newDelegate(this, &CharacterCreation::onClassQuestionChosen); mGenerateClassQuestionDialog->setVisible(true); MWBase::Environment::get().getSoundManager()->say(sGenerateClassSteps(mGenerateClassStep).mSound); }
void test() { std::cout << "Testing type: " << typeid(T).name() << std::endl; static const boost::array<const char*, 51u> data = {{ "0.33937643772780730649735035088117439284797964277099188367427256402032493952288848579083622213428182842627923924487560393743204013166230906610274533504451302298480596207257724471359936027198954417317381228420986152562253196896619001418292769103034561794393400788635610424360775622370491149170501475453034747306600304507650361914904138327962144190354572359428689767990353722392457982930942617983634601752", "5.9746833446871871874685235810964396457491766537010251792063372398172074828151074989468673672535421045923659313715467371148678693662985453590831122722616951299822923837410906027605763677066945998696776562438704017846907508677186762421899376364636371743116519071733413775650991880222096045615827530741679305666041641331859757012015389431793705875600863391408448065773828563483223117178640044499399723744", 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"5.8798281636930489964162009429009257867906792508058801627042121953599912951265315933723440185825519080102988056836911095299854840387008575164090793635997912930561430335216151607097220208013034399895832350235280120270626904356196935166701773768680311063264380891331021514518757839220818506905997847228783439015252768055166165941582030353226255576433910936297965207260585437762430381969160714956727596198e714", "2.8091881292911108404345975896815558958477835260737794579417284512413473388968057587088555041266297486841923628702282019643659456724373332519583025947015025975126598748630623031951723754960589046233996595466021913942587558326660593063197905288573353559106884645285531497626940379800500474282446929237914568534665868703742731713632349090897884403966643055728471509474896855575286123275564417626861566706e750", "9.917129372597671132067673866739246238179742417231064062960232866725337575281938597212073697168000155027158148165861617400080837699968785505107579831803685516054837447325150388867488754170677228096524224392410232206238263933144338637103531441623303187445874039234973380151391274490746625993568552049954630793219419614845431626975962881182662815760423226111647056071831411664335144052772436215105801395e786", "2.5869027163543111121878679987081647715187872826677398475096738640583659800068967379551376322170347537454918190603891312949716382621902484616361664158953484778255247083652726854621059785392022847887382779010079407502679229021085320675903109573769331277413372272363218896397965662581357886739691376204316908974081821980432178065394228926767529685562155837452626029223937027004015040825450642409597700449e824", "4.9861251931207080923785686798881789193813879610842675205361210155894774686328710893906543682447029206928934967525495260314937837003448878215156341411477636831113484416124080974502217578408248150338565305116223944900839866528622960352723938548713319425798453345402992146078868053263606234074443024155243450623634720912438841022969909473424559262711669905282193529250216454066716533180418518228387188393e862", "7.1012569014339068241101751233953234216522840280342406520909288232012799547871960723719836516359548198842749536961644100550279020276709043358260853581760590386456213180291689322352732545965831405519844109680619067101311180959399339922706596098526969148981173519865139508665631317310424178378833370605922449094745510812618563813537347841030916512147874232760564378443782164868016244561788356251308121716e901", "7.4730215360486642135431754747074885377840195683583018254892502245011973712084221116813364423492802080799768174534590613188275471080608467087354983850284805514875889145266688973752185071777341375422809910165581997555433091939959406569831183459872344778707098094941193489061532160249775856426569696127193453339548371679229676272663084782830276508737129506676031759345288056484158647796152349867328841634e941", "5.8109375364209112227579654658730977030869454388607076903639465992296616832002964138000947668837140543325908222688655359602408511410663722770167244801973012245657865182739637159804595049180263175014778215232564251739259624759589953677661356104554831551073263668188283861123521688445132164147762321111597028523130093864153999974376790494383016372210442340324038686843345053322425194077414241243050491297e982", "3.33875955701899627718146291382268063073604182131575843695486667154496711979350813988644889979275310892951143249901398447859083674739840084454465850475774696325142148671937407108540250845900941142800157345665761403930889797424808979569550325271558518404559007551625637761142662107757913763221912282957681784053564387104062317729788737215450574233690655931888608424916152893688106181220341997128198692e1024", "1.4174672877823334709610117319768830739080734407353905145632612088824955720198734996604261250019291955883620333545750761619015467840567122066622229379056280064206319780047687015558007624774062399477328822231085767309831266032616053065858739373818651687128093335640388513396191118537181280334430292439188737524362269789272308905723812818882228503013875816702686587035844437102478263525616196832018321602e1067", "4.4466189016791091516801723880812533528438597080549410911235655611382010503145789286158745555771483577943662768773465284793798720178177605712848440200402906836390133865748188969184005230383247111166918721449908133920663776952786683837038180436264738937354101153867171804315769471050303182129269442292354388037298125177941217926845803005587166270803697433886463469168814941555804311717400657004050157245e1110", }}; T eg = static_cast<T>("5.77215664901532860606512090082402431042159335939923598805767234884867726777664670936947063291746749514631447249807082480960504014486542836224173997644923536253500333742937337737673942792595258247094916008735203948165670853233151776611528621199501507984793745085705740029921354786146694029604325421519e-1"); unsigned max_err = 0; for(unsigned k = 0; k < data.size(); k++) { const T x = eg + k; T val = boost::multiprecision::sinh(x * x); T e = relative_error(val, T(data[k])); unsigned err = e.template convert_to<unsigned>(); if(err > max_err) max_err = err; val = boost::multiprecision::sinh(-x * x); e = relative_error(val, T(-T(data[k]))); err = e.template convert_to<unsigned>(); if(err > max_err) max_err = err; } boost::array<const char*, 50> small_values = {{ "8.223167319358299807036616344469138485821440027829633696917375433348917938654659351596020080036406671343718039863220496616e-01", "2.526123168081683079141251505420579055197542874276608074880949653019810769068593790606537020961198741487692473633089323967e-01", "8.342981744595282037256218647969712476322487890550784823763249893556153270975172951404094950587944959561849750490537201329e-02", "2.778135016068299789938671680845480653984976507019542653788637161116587306168290886761259072846829249121589698206609261524e-02", "9.259391565199916442789400306996794489540862711193761818262415211084389468754315525525896238827358889826875006042447587516e-03", "3.086424653287772358219607529932097884435043040527155440187640095572710676452654803730003577747633690318001961509535020849e-03", "1.028806765851002064810061084014826478832745077469708149635730407866217436751337520417458090265791086156438275231514030381e-03", "3.429355348425226988441198390119109217716503769838753365112550442738406326637684639052252898314646892490045395290022292013e-04", "1.143118429558603374406653541544292690548937361618336125287018361332072426474632105217297150810234138626767253281422813482e-04", "3.810394757818873406266877296641684693312194735341898368873067089928172619067423751257049691985638480762032673977695116880e-05", "1.270131585666421832817527834137477593266387525701388601975733237436369505733715799310429349744168792375082834509467436523e-05", "4.233771952120219947940459634636576539101577724347428305072378100562649548884420218224692461748739725090626754420296122389e-06", "1.411257317369659013704209000288436132710449162963127340562961271337242582661013580874165903770246169179192268836124421074e-06", "4.704191057897475365825409916786898392364235667906752767514580467152163619657508910797742266406961516358439252434955007668e-07", "1.568063685965773714045928492719360014894368531987759414833778466374819836545157375950693756664550256136222396871173634254e-07", "5.226878953219226673524993193392503058475862017726848548717100658392470633650387274004511940515056405069137033934323251644e-08", "1.742292984406408185991240874995689487745140228031202510923711784729440494088066989430128101759261047316736074663327672115e-08", "5.807643281354693692124967044009687283114597355717062156493618245876910131607338183944830908381903728560328284173507220743e-09", "1.935881093784897887701686451485601671131342930785061493703969418728524594573922282309665275558709040519461560600768780392e-09", "6.452936979282992955422916851920785543106383715381924626175995859924351552325880931187614903984801793287071578640505194508e-10", "2.150978993094330985008279519046512957825521218238790792201835497215534851989750722105234826300738623838446309250309905466e-10", "7.169929976981103283311786261663531258230547972690500493476881079295129579131280734024784107219045379345460886663104148486e-11", "2.389976658993701094435441884684454421835327948893136184573938864819002944442339456827931472237274353903634036758669394620e-11", "7.966588863312336981450798799860506345287566898810744342680146925029151178981033890759916168189916177504592939240995619757e-12", "2.655529621104112327150241298135440075805848488054800577703768668100658036999584228451100239039042920681377381394421710121e-12", "8.851765403680374423834128412864530361591097252230621965426275532533242581680245794741067906285298655116802944992368126680e-13", "2.950588467893458141278042461784956914687338675140497707333871358819185395356569206661450997145748756956497959702280685427e-13", "9.835294892978193804260141412430145318398649753331401112621871794012928366988233744354238387090649589382104704221708773516e-14", "3.278431630992731268086713799445120869198593899364655036314007566906378666339665297288092596796135684816883503781385164489e-14", "1.092810543664243756028904599641030626636532928735904320784337625844108091213506619051042206148385975354700234586478575025e-14", "3.642701812214145853429681998738987398752764686754626492252324567456938623579239392678142797020213493844816454129960310753e-15", "1.214233937404715284476560666243942169089106312534317920490462975351305354471020532764015606315872085933262687299655265697e-15", "4.047446458015717614921868887478923169619805517194433471908835726595116905187672132801369948377551282604828733616045843751e-16", "1.349148819338572538307289629159608313551890152969010184597042496758528297346351553643241208769191557898925543369605617734e-16", "4.497162731128575127690965430532015584807024576774799020494128293451281927637267192489558050090835454302448780391749096414e-17", "1.499054243709525042563655143510671412452985626833998379862387948592418229228808284088934491020852037924756758483008288052e-17", "4.996847479031750141878850478368904541825005460277179305602161748681654262243578435201096986093377131577325573917436618470e-18", "1.665615826343916713959616826122968174447164290616980189746184851537351248309665330601503343215376981550822569162631313560e-18", "5.552052754479722379865389420409893912541965834349657578615232567585047309856390957625702896178052275806406957076143469634e-19", "1.850684251493240793288463140136631304096139902769381795814754672989850701401641374814254071564872119933498619234778448524e-19", "6.168947504977469310961543800455437680289164351695283493312025632359317744715643192414807145394613572397590534364339391526e-20", "2.056315834992489770320514600151812560095228784236601072113743484455321300338926430301421880927367590178440922006775473367e-20", "6.854386116641632567735048667172708533650333231531203539518552950777817440179277823487619201513258000884052637516041835420e-21", "2.284795372213877522578349555724236177883428507451482660054557452824460619777642844796449091646418601791047308814504431261e-21", "7.615984574046258408594498519080787259611422468149787192854095139994568043598766360557598146279482678180281335390895949036e-22", "2.538661524682086136198166173026929086537140604567639372655275057673980680372673609490963070062819520295998328327889923353e-22", "8.462205082273620453993887243423096955123801934429554813185698344472203995997708879527322555715697860578416576045982358004e-23", "2.820735027424540151331295747807698985041267308484077168753311108116374235508697904826049959781116012127075951788533527897e-23", "9.402450091415133837770985826025663283470891027171945709804152456669015193736201020401750153196590359525341207466344738924e-24", "3.134150030471711279256995275341887761156963675682933328476437810109959425395050019306074135780459168092270327572635795510e-24", }}; max_err = 0; T v = 0.75; for(unsigned k = 0; k < small_values.size(); ++k) { T val = boost::multiprecision::sinh(v); T e = relative_error(val, T(small_values[k])); unsigned err = e.template convert_to<unsigned>(); if(err > max_err) { max_err = err; } val = boost::multiprecision::sinh(-v); e = relative_error(val, T(-T(small_values[k]))); err = e.template convert_to<unsigned>(); if(err > max_err) { max_err = err; } v /= 3; } std::cout << "Max error was: " << max_err << std::endl; BOOST_TEST(max_err < 2000); }
/** @brief make the band pass filter mask in Fourier space \param radiiMin Real space mimimum radiii in each dimension, supposed in row major order \param radiiMax Real space maximum radiii in each dimension, supposed in row major order */ void Tracker::makeBandPassMask(const boost::array<double,3> &radiiMin, const boost::array<double,3> &radiiMax) { if(!quiet) { cout << "making the band-pass filter ("; copy(FFTmask.shape(),FFTmask.shape()+FFTmask.num_dimensions(),ostream_iterator<size_t>(cout,",")); cout<<") ... "; } if(!equal(radiiMin.begin(),radiiMin.end(),radiiMax.begin(),less<double>())) throw invalid_argument("For each dimension we must have radiusMin < radiusMax "); boost::array<double,3> freqMax, freqMin; transform(centersMap.shape(),centersMap.shape()+centersMap.num_dimensions(),radiiMin.begin(), freqMax.begin(), divides<double>()); transform(centersMap.shape(),centersMap.shape()+centersMap.num_dimensions(),radiiMax.begin(), freqMin.begin(), divides<double>()); transform(freqMax.begin(), freqMax.end(), freqMax.begin(), bind2nd(divides<double>(), 2.0)); transform(freqMin.begin(), freqMin.end(), freqMin.begin(), bind2nd(divides<double>(), 2.0)); if(!quiet) { cout << "Size min ("; copy(radiiMin.begin(),radiiMin.end(),ostream_iterator<double>(cout,",")); cout<<") ... "; cout << "Size max ("; copy(radiiMax.begin(),radiiMax.end(),ostream_iterator<double>(cout,",")); cout<<") ... "; cout << "Freq max ("; copy(freqMax.begin(),freqMax.end(),ostream_iterator<double>(cout,",")); cout<<") ... "; cout << "Freq min ("; copy(freqMin.begin(),freqMin.end(),ostream_iterator<double>(cout,",")); cout<<") ... "; } //The spectrum output of FFT is centered on (0,0,0), not in the center of the image. //The last dimension is only (n/2+1), with n the last dimension of the real-space image //So the band pass mask is half on a 3D-ellipsoidal shell centered on (0,0,0). //Moreover, the symetry planes allow to draw only 1/2^d th of the mask and then mirror it. //get a view of 1/2^d th of the mask boost::array<size_t,3> halfdims; for(int d=0;d<3;++d) halfdims[d] = centersMap.shape()[d] / 2 + 1; array_type_b::array_view<3>::type portion = FFTmask[ boost::indices[range(0,halfdims[0])][range(0,halfdims[1])][range(0,halfdims[2])] ]; if(!quiet) { cout<<"portion ("; copy(portion.shape(),portion.shape()+portion.num_dimensions(),ostream_iterator<size_t>(cout,",")); cout<<") ... "; } //boost::multi_array_ref<bool, 3>portion(data, halfdims); double imin, imax, jmin, jmax; size_t di=0,dj=0; //array_type_b::array_view<3>::type::array_view<1>::type line; //draw a 1/2^d th of the mask //not the best efficiency if z is flat, but then the number of pixels is small so no problem for(array_type_b::iterator i = portion.begin();i!=portion.end();++i) { dj=0; imin = pow(di / freqMin[0], 2.0); imax = pow(di / freqMax[0], 2.0); for(array_type_b::value_type::iterator j = i->begin();j!=i->end();++j) { //cout<<(j-i->begin())<<endl; jmin = pow(dj / freqMin[1], 2.0); jmax = pow(dj / freqMax[1], 2.0); size_t kmin = min( j->size(), (imin+jmin>1.0)?0: (size_t)(1+freqMin[2]*sqrt(1.0 - imin - jmin)) ); size_t kmax = min( j->size(), (imax+jmax>1.0)?kmin: (size_t)(1+freqMax[2]*sqrt(1.0 - imax - jmax)) ); //cout<<imin<<","<<imax<<","<<jmin<<","<<jmax<<","<<kmin<<","<<kmax;//<<endl; //cout<<" 0->"<<kmin; fill_n(j->begin(), kmin, false); //cout<<"->"<<kmax; fill(j->begin() + kmin, j->begin() + kmax, true); //cout<<"->"<<j->size()<<endl; fill(j->begin() + kmax, j->end(), false); dj++; } di++; } this->mirrorMask(); if(view) displayMask(); }
double BTagWeight::getBScaleFactor(const Jet& jet, std::string MCSampleTag, double uncertaintyFactor) const { double SFb(0); double sf_error(0); //these numbers are for CSVM only double pt = getSmearedJetPtScale(jet, 0)*jet.pt(); double eta = jet.eta(); if (MCSampleTag == "Summer12") { // 2012 btag scale factors // From https://twiki.cern.ch/twiki/pub/CMS/BtagPOG/SFb-pt_WITHttbar_payload_EPS13.txt, // which is linked from https://twiki.cern.ch/twiki/bin/viewauth/CMS/BtagPOG#2012_Data_and_MC_EPS13_prescript const boost::array<double, 16> SFb_error = { { 0.0415707, 0.0204209, 0.0223227, 0.0206655, 0.0199325, 0.0174121, 0.0202332, 0.0182446, 0.0159777, 0.0218531, 0.0204688, 0.0265191, 0.0313175, 0.0415417, 0.0740446, 0.0596716 } }; //2012 pt bins low edges const boost::array<double, 16> ptbins = { { 20, 30, 40, 50, 60, 70, 80, 100, 120, 160, 210, 260, 320, 400, 500, 600 } }; if (pt < 20) { SFb = (0.938887 + (0.00017124 * 20)) + (-2.76366e-07 * (20 * 20)); //use twice the uncertainty sf_error = 2 * SFb_error[0]; } else if (pt > 800) { SFb = (0.938887 + (0.00017124 * 800)) + (-2.76366e-07 * (800 * 800)); //use twice the uncertainty sf_error = 2 * SFb_error[SFb_error.size() - 1]; } else { SFb = (0.938887 + (0.00017124 * pt)) + (-2.76366e-07 * (pt * pt)); unsigned int ptbin(0); for (unsigned int bin = 0; bin < ptbins.size() + 1; ++bin) { double upperCut = bin + 1 < ptbins.size() ? ptbins.at(bin + 1) : 800.; double lowerCut = ptbins.at(bin); if (pt > lowerCut && pt <= upperCut) { ptbin = bin; break; } } sf_error = SFb_error.at(ptbin); //use twice the uncertainty if outside the 0 to 2.4 eta range if (2.4 < eta && eta <= 2.6) { sf_error = 2 * SFb_error.at(ptbin); } } } else if (MCSampleTag == "Summer11Leg") { // 2011 btag scale factors // https://twiki.cern.ch/twiki/pub/CMS/BtagPOG/SFb-mujet_payload.txt const boost::array<double, 14> SFb_error = { { 0.0295675, 0.0295095, 0.0210867, 0.0219349, 0.0227033, 0.0204062, 0.0185857, 0.0256242, 0.0383341, 0.0409675, 0.0420284, 0.0541299, 0.0578761, 0.0655432 } }; //2011 pt bins low edges const boost::array<double, 14> ptbins = { { 30, 40, 50, 60, 70, 80, 100, 120, 160, 210, 260, 320, 400, 500 } }; if (pt < 30) { SFb = 0.6981 * ((1. + (0.414063 * pt)) / (1. + (0.300155 * 30))); //absolute uncertainty of +/-0.12 sf_error = 0.12; } else if (pt > 670) { SFb = 0.6981 * ((1. + (0.414063 * 670)) / (1. + (0.300155 * 670))); //use twice the uncertainty sf_error = 2 * SFb_error[SFb_error.size() - 1]; } else { SFb = 0.6981 * ((1. + (0.414063 * pt)) / (1. + (0.300155 * pt))); unsigned int ptbin(0); for (unsigned int bin = 0; bin < ptbins.size() + 1; ++bin) { double upperCut = bin + 1 < ptbins.size() ? ptbins.at(bin + 1) : 670.; double lowerCut = ptbins.at(bin); if (pt > lowerCut && pt <= upperCut) { ptbin = bin; break; } } sf_error = SFb_error.at(ptbin); } } SFb += sf_error * BJetSystematic_ * uncertaintyFactor; return SFb; }
Bools toBools( boost::array<bool,nb> const & t ) { Bools b; b.insert (b.end(), t.begin(), t.end()); return b; }
void write_excel(vector<Entry>& entrys, vector<Entry2>& entrys2) { ofstream of("new.xls", ostream::binary); copy(_RC_template.begin(), _RC_template.end(), ostream_iterator<unsigned char>(of)); of.close(); path tmp = current_path(); tmp /= "new.xls"; try { comstl::ole_init coinit; using vole::object; using vole::collection; object xlApp = object::create(L"Excel.Application", CLSCTX_LOCAL_SERVER, vole::coercion_level::naturalPromotion); xlApp.put_property(L"Visible", 1); collection xlBooks = xlApp.get_property<collection>(L"Workbooks"); object xlBook = xlBooks.get_property<object>(L"Open", tmp.string().c_str()); object xlSheet = xlApp.get_property<object>(L"ActiveSheet"); int rows; for(rows=0; rows<entrys.size(); rows++) { object colA = xlSheet.get_property<object>(L"Range", _r("A", rows).c_str()); colA.put_property(L"Value", boost::lexical_cast<string>(entrys[rows].id).c_str()); object colB = xlSheet.get_property<object>(L"Range", _r("B", rows).c_str()); colB.put_property(L"Value", entrys[rows].address.c_str()); object colC = xlSheet.get_property<object>(L"Range", _r("C", rows).c_str()); colC.put_property(L"Value", entrys[rows].name.c_str()); object colD = xlSheet.get_property<object>(L"Range", _r("D", rows).c_str()); colD.put_property(L"Value", entrys[rows].passport.c_str()); object colE = xlSheet.get_property<object>(L"Range", _r("E", rows).c_str()); colE.put_property(L"Value", entrys[rows].idcard.c_str()); object colF = xlSheet.get_property<object>(L"Range", _r("F", rows).c_str()); colF.put_property(L"Value", entrys[rows].cat.c_str()); object colG = xlSheet.get_property<object>(L"Range", _r("G", rows).c_str()); colG.put_property(L"Value", entrys[rows].product_id.c_str()); object colH = xlSheet.get_property<object>(L"Range", _r("H", rows).c_str()); colH.put_property(L"Value", entrys[rows].product_n.c_str()); object colI = xlSheet.get_property<object>(L"Range", _r("I", rows).c_str()); colI.put_property(L"Value", entrys[rows].invoice.c_str()); object colJ = xlSheet.get_property<object>(L"Range", _r("J", rows).c_str()); colJ.put_property(L"Value", entrys[rows].price.c_str()); object colK = xlSheet.get_property<object>(L"Range", _r("K", rows).c_str()); colK.put_property(L"Value", entrys[rows].allowance.c_str()); object colL = xlSheet.get_property<object>(L"Range", _r("L", rows).c_str()); colL.put_property(L"Value", entrys[rows].name2.c_str()); object colM = xlSheet.get_property<object>(L"Range", _r("M", rows).c_str()); colM.put_property(L"Value", entrys[rows].time.c_str()); object colN = xlSheet.get_property<object>(L"Range", _r("N", rows).c_str()); colN.put_property(L"Value", entrys[rows].phone.c_str()); } { object colI = xlSheet.get_property<object>(L"Range", _r("I", rows).c_str()); colI.put_property(L"Value", "销售合计"); object colJ = xlSheet.get_property<object>(L"Range", _r("J", rows).c_str()); colJ.put_property(L"Value", ("=SUM(J6:J" + boost::lexical_cast<string>(rows+5) + ")").c_str()); object colJK = xlSheet.get_property<object>(L"Range", (_r("J", rows) + ":" + _r("K", rows)).c_str()); colJK.put_property(L"MergeCells", 1); } rows++; { object colI = xlSheet.get_property<object>(L"Range", _r("I", rows).c_str()); colI.put_property(L"Value", "补贴合计"); object colJ = xlSheet.get_property<object>(L"Range", _r("J", rows).c_str()); colJ.put_property(L"Value", ("=SUM(K6:K" + boost::lexical_cast<string>(rows+4) + ")").c_str()); object colJK = xlSheet.get_property<object>(L"Range", (_r("J", rows) + ":" + _r("K", rows)).c_str()); colJK.put_property(L"MergeCells", 1); } //---表2 object xlBook2 = xlApp.get_property<object>(L"Sheets", 2); xlBook2.invoke_method_v(L"Select"); object xlSheet2 = xlApp.get_property<object>(L"ActiveSheet"); int i=-2; // _r(x, i) i会被加上6, 但表而是以x4开始的 BOOST_FOREACH(Entry2& e, entrys2) { if(e.number != 0) { object colA = xlSheet2.get_property<object>(L"Range", _r("A", i).c_str()); colA.put_property(L"Value", e.address.c_str()); object colB = xlSheet2.get_property<object>(L"Range", _r("B", i).c_str()); colB.put_property(L"Value", (boost::lexical_cast<string>(e.number)).c_str()); object colC = xlSheet2.get_property<object>(L"Range", _r("C", i).c_str()); colC.put_property(L"Value", (boost::lexical_cast<string>(e.prices)).c_str()); object colD = xlSheet2.get_property<object>(L"Range", _r("D", i).c_str()); colD.put_property(L"Value", (boost::lexical_cast<string>(e.allowances)).c_str()); i++; } } if(i > -2) { object colA = xlSheet2.get_property<object>(L"Range", _r("A", i).c_str()); colA.put_property(L"Value", "合计"); object colB = xlSheet2.get_property<object>(L"Range", _r("B", i).c_str()); colB.put_property(L"Value", ("=SUM(B4:B" + boost::lexical_cast<string>(i+5) + ")").c_str()); object colC = xlSheet2.get_property<object>(L"Range", _r("C", i).c_str()); colC.put_property(L"Value", ("=SUM(C4:C" + boost::lexical_cast<string>(i+5) + ")").c_str()); object colD = xlSheet2.get_property<object>(L"Range", _r("D", i).c_str()); colD.put_property(L"Value", ("=SUM(D4:D" + boost::lexical_cast<string>(i+5) + ")").c_str()); } } catch (vole::vole_exception &x) { cout << "error: " << x.what() << ": " << winstl::error_desc(x.hr()).c_str() << endl; } }
inline const_buffer_container_1 buffer(const boost::array<Pod_Type, N>& data) { return const_buffer_container_1( const_buffer(data.data(), data.size() * sizeof(Pod_Type))); }
void fillRowMajor(boost::array<double, 9>& covar, double var1, double var2, double var3){ std::fill(covar.begin(), covar.end(), 0.0); covar[0] = var1; covar[4] = var2; covar[8] = var3; }
mini(vec2 ct) : enemy(ct, MASS, RADIUS, SPRING, DAMP, ACCEL, RESPONSIVENESS), color(colors[rand() % colors.size()]) { }
explicit Center(const double &v=0.0, const double &r=0, const double &i=0) : Center_base(r, i) { std::fill(coords.begin(), coords.end(), v); };
virtual renders_with_range renders_with() const { return boost::make_iterator_range(renders_with_pairs.begin(), renders_with_pairs.end()); }
inline V evaluate_polynomial(const boost::array<T,N>& a, const V& val) { typedef mpl::int_<N> tag_type; return detail::evaluate_polynomial_c_imp(static_cast<const T*>(a.data()), val, static_cast<tag_type const*>(0)); }