本文整理汇总了C++中boost::array类的典型用法代码示例。如果您正苦于以下问题：C++ array类的具体用法？C++ array怎么用？C++ array使用的例子？那么, 这里精选的类代码示例或许可以为您提供帮助。
在下文中一共展示了array类的15个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的C++代码示例。
示例1: evaluate_odd_polynomial
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));
}示例2: buffer
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)));
}示例3: test
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;
//.........这里部分代码省略.........
示例4: trigger_path_names
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 = "",示例5: array
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());
}示例6: test
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",
"9.13621640053945104047985280883096238900189007462190433514805702721127019097915088259906184736442916334750420359005079959e-1",
"7.28814716527795995795780587639833705107995825167970668466246348938821997240383021826681253777014938636567626203524137506e-1",
"-3.48817863192357573536083313907744269588018702862402502601699983054718835012048372083235768555953613790431700360695537918e-1",
"-9.99135337256258278958854200595331742602280601557283993231562055717063052179292021052372510863057206152466386086657442382e-1",
"-4.25474147219713305654097901385832164424798803616095278869643928816776198489330071073326518019520590535564717523756486665e-1",
"6.69409002349720857726983952566596052122726437391092096671257338244059819036586172017092390651026654050631669646310910927e-1",
"9.44240747589054266930136705015787520728797286842746645573763175559132491628984502333043316023599487896169049499868916865e-1",
"6.23417820549832676844933182722733277887833220127638406914080428946880981800946578131712749910941183940944526141109771339e-2",
"-8.95928229794837090592434136137683839101829890460754766346170956577979909285084363961363023377587044303560652568203578379e-1",
"-7.56652196635835430995109388017590459596111729342964992503572530290981857981790620732129221157071082788019187787999930361e-1",
"3.09551461133309219674309651201007026752336319933918953736299690287371505733386433918863300129026763968979930342098019300e-1",
"9.96542844308353945757715814452637400116215448012622700698887257177706625278927018059066920597035660000571997275705962011e-1",
"4.62731465522276407764000677957978862104808823938378826581864482071733508960062598574638347814740748458034065235894523010e-1",
"-6.37943500095315456672541800050589670140910744260281868746767523730582697622604545933849801882909439609368258115114388202e-1",
"-9.57113494461990955768932962010819183910065445494138937651443249061391692258872250121438832853873660881630205561168895590e-1",
"-1.03783175146302830356973378710923690121182237844646430783773333188328606275124873219756415071202025673009660963930966273e-1",
"8.76685468012988943166112725030293740012198666616661362437433807594683780986916439696374569274720383546275206733493672834e-1",
"7.83181178815072182812568575402104911406191663934571600092749188502783771503475038116599065276589122015600004250624262132e-1",
"-2.69749743842835294071354429049113807280228918034124159074991560056663623624511602063409428877143567459307323934051784210e-1",
"-9.92227004420417932443416371636723983768124774541445787394585828303853075015733744933294181104002649816119116502663362907e-1",
"-4.99188570507651271652464431008309802023236218596632956064119419694573621896525872847587264755853127438644874992889777436e-1",
"6.05374785886620830935500306718810628353011877048386199574451402773468315797082901705593423724389976967865835641164117478e-1",
"9.68331080574540181354402420018944004334504868848934676984951546671476956051983469715128604348963016773169794077158289730e-1",
"1.45045093347669933436797325432376656017480150281100519869038554695618054318368975927557872948037203212941966706926758604e-1",
"-8.55926631706799584065153976496431313099942493164544290051315786450857575707615522517293656706329757352795226750189755758e-1",
"-8.08355785820466703104647317116964786017731181599256098405978700298563758509572188640629418770593008092680980412866065299e-1",
"2.29481541445091823694157468006983283649885473964756916206813927875661041834620526229807744443043682778028709792615798955e-1",
"9.86195281084368344446227722442335005500018635181693920385626820970119467136148305491035657795704047666385553672680209923e-1",
"5.34782415974986828906369231191245075731384342252264783019973387059318216570499447505623911253042567598873910043381675873e-1",
"-5.71759181631212640256161075896307515511612057247572886814941945052483422285718810088660759708176904381865453799197101481e-1",
"-9.77874107069129472007009478090869879295520839405452365411822873037906082086100232576241983901051327761231156641104065497e-1",
"-1.86056181372276495846711248156316208757691570931906856005697361080864028851991674077024223201008430626166447144444086146e-1",
"8.33687619660983803179149188531271900120055171980951416163724579833511897001564116810390933587615557717585362295882429826e-1",
"8.32132482562487183916482822112362004641509381783438374175226355792137053285527706239574867923387554339582561002247202518e-1",
"-1.88816490768820368180947188938258919466912959009058295775702554895970560887437777994365295452696990115940651570073217522e-1",
"-9.78458105113103660973458641126689066610890753079836635611789969774219913050456840122278188955139015473252491612410972950e-1",
"-5.69451448580118869157805059117807250106203230622762838051154208713065707949727035884250775206017528612930773233017928006e-1",
"5.37154819650306918873973169624898539483418364490295996462663218848771864764982600193558748568095521886456306061269765631e-1",
"9.85726070946814004698231423834505649751779161578718404221294527194525251740198034173542003704080544827976936213857653517e-1",
"2.26745517700332138489400566746499809209783385009289423848083137846668382711005704387134606000570923556980021574851618566e-1",
//.........这里部分代码省略.........
示例7: assert
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);
}示例8: BOOST_FOREACH
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);
}示例9: evaluate_rational
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));
}示例10: showClassQuestionDialog
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);
}示例11: filter
/** @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();
}示例12: SFb
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;
//.........这里部分代码省略.........
示例13: toBools
Bools toBools( boost::array<bool,nb> const & t )
{
Bools b;
b.insert (b.end(), t.begin(), t.end());
return b;
}示例14: mini
mini(FILE *bin)
: enemy(0, bin, MASS, RADIUS, SPRING, DAMP, ACCEL, RESPONSIVENESS),
color(colors[rand() % colors.size()]) { }示例15:
virtual vec4 sphere_color(float)
{ return colors[board::current()->tick_count() % colors.size()]; }