/dports/devel/hyperscan/boost_1_75_0/libs/mpl/doc/src/refmanual/ |
H A D | set_c.rst | 68 typedef set_c< int,1,3,5,7,9 > odds; 70 BOOST_MPL_ASSERT_RELATION( size<odds>::value, ==, 5 ); 71 BOOST_MPL_ASSERT_NOT(( empty<odds> )); 73 BOOST_MPL_ASSERT(( has_key< odds, integral_c<int,5> > )); 74 BOOST_MPL_ASSERT_NOT(( has_key< odds, integral_c<int,4> > )); 75 BOOST_MPL_ASSERT_NOT(( has_key< odds, integral_c<int,15> > ));
|
/dports/science/py-scipy/scipy-1.7.1/scipy/stats/ |
H A D | biasedurn.pyx.templ | 32 def __cinit__(self, int n, int m, int N, double odds, double accuracy): 33 …_fnch = unique_ptr[CFishersNCHypergeometric](new CFishersNCHypergeometric(n, m, N, odds, accuracy)) 56 def __cinit__(self, int n, int m, int N, double odds, double accuracy): 152 def rvs_fisher(self, int n, int m, int N, double odds, int size, random_state=None): 159 rvs[ii] = self.c_sl3.get().FishersNCHyp(n, m, N, odds) 162 def rvs_wallenius(self, int n, int m, int N, double odds, int size, random_state=None): 169 rvs[ii] = self.c_sl3.get().WalleniusNCHyp(n, m, N, odds) 172 def FishersNCHyp(self, int n, int m, int N, double odds): 174 return self.c_sl3.get().FishersNCHyp(n, m, N, odds) 176 def WalleniusNCHyp(self, int n, int m, int N, double odds): [all …]
|
/dports/multimedia/scte35dump/scte35dump-0.1.6/cargo-crates/odds-0.2.26/ |
H A D | Cargo.toml.orig-cargo | 2 name = "odds" 7 …s for strings and vectors: `repeat`, `insert_str` and `splice`. Things in odds may move to more ap… 8 documentation = "https://docs.rs/odds/" 9 repository = "https://github.com/bluss/odds"
|
H A D | README.rst | 2 odds chapter 10 __ https://docs.rs/odds/ 14 .. |build_status| image:: https://travis-ci.org/bluss/odds.svg 15 .. _build_status: https://travis-ci.org/bluss/odds 17 .. |crates| image:: http://meritbadge.herokuapp.com/odds 18 .. _crates: https://crates.io/crates/odds 100 - Add default feature "std". odds uses ``no_std`` if you opt out of this 137 - Add `odds::string::StrExt`, extensions to `&str`.
|
/dports/devel/R-cran-vcd/vcd/man/ |
H A D | loddsratio.Rd | 23 Computes (log) odds ratios and their asymptotic variance covariance 61 odds ratios. By default, odds ratios for profile contrasts (or sequential 77 be applied before computing odds ratios? 95 For an R x C table, (log) odds ratios are formed for the set of (R-1) x (C-1) 103 These are sometimes called \dQuote{local odds ratios}. 115 other possible odds ratios from any non-redundant set, but the interpretation 128 containing the log odds ratios. Use the \code{coef} method to 134 \item{vcov}{Variance covariance matrix of the log odds ratios.} 165 log odds ratios and their asymptotic covariance matrix. 174 (or for odds ratios, with \code{log = FALSE}). [all …]
|
/dports/lang/ghc/ghc-8.10.7/libraries/containers/containers-tests/benchmarks/LookupGE/ |
H A D | Map.hs | 23 elems_odd = zip odds odds 26 odds = [1,3..bound] function 31 , \(n,fun) -> bench (n++" far") $ nf (fge fun odds) m_large 34 , \(n,fun) -> bench (n++" !far") $ nf (fge2 fun odds) m_large
|
H A D | IntMap.hs | 23 elems_odd = zip odds odds 26 odds = [1,3..bound] function 31 , \(n,fun) -> bench (n++" far") $ nf (fge fun odds) m_large 34 , \(n,fun) -> bench (n++" !far") $ nf (fge2 fun odds) m_large
|
/dports/lang/elm/compiler-0.19.1/_cabal_deps/containers-0.5.11.0/benchmarks/LookupGE/ |
H A D | IntMap.hs | 23 elems_odd = zip odds odds 26 odds = [1,3..bound] function 31 , \(n,fun) -> bench (n++" far") $ nf (fge fun odds) m_large 34 , \(n,fun) -> bench (n++" !far") $ nf (fge2 fun odds) m_large
|
H A D | Map.hs | 23 elems_odd = zip odds odds 26 odds = [1,3..bound] function 31 , \(n,fun) -> bench (n++" far") $ nf (fge fun odds) m_large 34 , \(n,fun) -> bench (n++" !far") $ nf (fge2 fun odds) m_large
|
/dports/devel/boost-docs/boost_1_72_0/libs/hana/example/ext/std/array/ |
H A D | orderable.cpp | 13 constexpr std::array<int, 4> odds = {{1, 3, 5, 7}}; variable 18 static_assert(hana::less(odds, evens), ""); 21 static_assert(hana::less(up_to_5, odds), "");
|
/dports/devel/boost-python-libs/boost_1_72_0/libs/hana/example/ext/std/array/ |
H A D | orderable.cpp | 13 constexpr std::array<int, 4> odds = {{1, 3, 5, 7}}; variable 18 static_assert(hana::less(odds, evens), ""); 21 static_assert(hana::less(up_to_5, odds), "");
|
/dports/devel/boost-libs/boost_1_72_0/libs/hana/example/ext/std/array/ |
H A D | orderable.cpp | 13 constexpr std::array<int, 4> odds = {{1, 3, 5, 7}}; variable 18 static_assert(hana::less(odds, evens), ""); 21 static_assert(hana::less(up_to_5, odds), "");
|
/dports/devel/hyperscan/boost_1_75_0/libs/hana/example/ext/std/array/ |
H A D | orderable.cpp | 13 constexpr std::array<int, 4> odds = {{1, 3, 5, 7}}; variable 18 static_assert(hana::less(odds, evens), ""); 21 static_assert(hana::less(up_to_5, odds), "");
|
/dports/math/symphony/SYMPHONY-releases-5.6.17/SYMPHONY/Applications/MPP/src/CutGen/ |
H A D | mpp_cg.c | 74 int *odds; in user_find_cuts() local 88 odds = (int *) calloc(mpp->numnodes, sizeof(int)); in user_find_cuts() 152 odds[current_component]++; in user_find_cuts() 166 odds[current_component]++; in user_find_cuts() 187 if (odds[i]%2 == 1 && cut_sizes[i] > 1){ in user_find_cuts() 214 FREE(odds); in user_find_cuts()
|
/dports/devel/R-cran-Hmisc/Hmisc/R/ |
H A D | popower.s | 1 popower <- function(p, odds.ratio, n, n1, n2, alpha=.05) 17 power <- pnorm(abs(logb(odds.ratio))*sqrt(V) - z) 32 posamsize <- function(p, odds.ratio, fraction=.5, 40 log.or <- logb(odds.ratio)
|
/dports/games/wolfpack/empire-4.4.1/src/lib/commands/ |
H A D | sabo.c | 46 double odds; in c_sabotage() local 74 odds = LND_SPY_DETECT_CHANCE(land.lnd_effic); in c_sabotage() 75 if (chance(odds)) { in c_sabotage() 107 if (chance(odds)) { in c_sabotage()
|
/dports/textproc/sonic/sonic-1.3.0/cargo-crates/librocksdb-sys-6.7.4/rocksdb/test_util/ |
H A D | sync_point_impl.cc | 11 void TestKillRandom(std::string kill_point, int odds, in TestKillRandom() argument 19 assert(odds > 0); in TestKillRandom() 20 if (odds % 7 == 0) { in TestKillRandom() 23 odds++; in TestKillRandom() 26 bool crash = r->OneIn(odds); in TestKillRandom()
|
/dports/databases/mariadb104-server/mariadb-10.4.24/storage/rocksdb/rocksdb/test_util/ |
H A D | sync_point_impl.cc | 11 void TestKillRandom(std::string kill_point, int odds, in TestKillRandom() argument 19 assert(odds > 0); in TestKillRandom() 20 if (odds % 7 == 0) { in TestKillRandom() 23 odds++; in TestKillRandom() 26 bool crash = r->OneIn(odds); in TestKillRandom()
|
/dports/databases/mariadb104-client/mariadb-10.4.24/storage/rocksdb/rocksdb/test_util/ |
H A D | sync_point_impl.cc | 11 void TestKillRandom(std::string kill_point, int odds, 19 assert(odds > 0); 20 if (odds % 7 == 0) { 23 odds++; 26 bool crash = r->OneIn(odds);
|
/dports/databases/mariadb103-client/mariadb-10.3.34/storage/rocksdb/rocksdb/test_util/ |
H A D | sync_point_impl.cc | 11 void TestKillRandom(std::string kill_point, int odds, in TestKillRandom() argument 19 assert(odds > 0); in TestKillRandom() 20 if (odds % 7 == 0) { in TestKillRandom() 23 odds++; in TestKillRandom() 26 bool crash = r->OneIn(odds); in TestKillRandom()
|
/dports/databases/mariadb103-server/mariadb-10.3.34/storage/rocksdb/rocksdb/test_util/ |
H A D | sync_point_impl.cc | 11 void TestKillRandom(std::string kill_point, int odds, in TestKillRandom() argument 19 assert(odds > 0); in TestKillRandom() 20 if (odds % 7 == 0) { in TestKillRandom() 23 odds++; in TestKillRandom() 26 bool crash = r->OneIn(odds); in TestKillRandom()
|
/dports/databases/mariadb105-client/mariadb-10.5.15/storage/rocksdb/rocksdb/test_util/ |
H A D | sync_point_impl.cc | 11 void TestKillRandom(std::string kill_point, int odds, in TestKillRandom() argument 19 assert(odds > 0); in TestKillRandom() 20 if (odds % 7 == 0) { in TestKillRandom() 23 odds++; in TestKillRandom() 26 bool crash = r->OneIn(odds); in TestKillRandom()
|
/dports/databases/mariadb105-server/mariadb-10.5.15/storage/rocksdb/rocksdb/test_util/ |
H A D | sync_point_impl.cc | 11 void TestKillRandom(std::string kill_point, int odds, in TestKillRandom() argument 19 assert(odds > 0); in TestKillRandom() 20 if (odds % 7 == 0) { in TestKillRandom() 23 odds++; in TestKillRandom() 26 bool crash = r->OneIn(odds); in TestKillRandom()
|
/dports/textproc/p5-Text-NSP/Text-NSP-1.31/lib/Text/NSP/Measures/2D/ |
H A D | odds.pm | 61 package Text::NSP::Measures::2D::odds; 120 my $odds = (($n11*$n22) / ($n12*$n21)); 122 return ($odds);
|
/dports/math/R-cran-LearnBayes/LearnBayes/man/ |
H A D | mnormt.onesided.Rd | 18 \item{prior.odds}{prior odds of the null hypothesis} 19 \item{post.odds}{posterior odds of the null hypothesis}
|