/dports/math/fricas/fricas-1.3.7/src/doc/htex/ |
H A D | STREAM.htex | 69 \spadcommand{odds := [2*i+1 for i in ints]\bound{odds}\free{ints}} 75 \spadcommand{scan(0,+,odds) \free{odds}} 81 \spadcommand{[i*j for i in ints for j in odds]\free{ints} \free{odds}} 85 \spadcommand{map(*,ints,odds)\free{ints odds}}
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/dports/lang/mono/mono-5.10.1.57/mcs/class/System.Web/System.Web.Compilation/ |
H A D | AspTokenizer.cs | 75 StringBuilder sb, odds; field in System.Web.Compilation.AspTokenizer 101 odds= new StringBuilder(); in AspTokenizer() 300 odds.Length=0; in NextToken() 329 if (odds.Length == 0 || odds.ToString ().IndexOfAny (lfcr) < 0) { in NextToken() 373 odds.Append((char) c); in NextToken() 392 return odds.ToString();
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/dports/math/R-cran-gss/gss/R/ |
H A D | family.proj.R | 5 odds <- exp(eta0) functionVar 6 p <- odds/(1+odds) 7 q <- 1/(1+odds) 13 odds <- exp(eta) functionVar 14 p <- odds/(1+odds) 16 w <- p/(1+odds) 42 p <- odds/(1+odds) 171 odds <- exp(eta) functionVar 172 p <- odds/(1+odds) 173 q <- 1/(1+odds) [all …]
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H A D | family.cv.R | 20 odds <- exp(eta) functionVar 21 p <- odds/(1+odds) 22 w <- p/(1+odds) 23 lkhd <- -sum(wtt*(y*eta-log(1+odds)))/sum(wtt) 25 aux2 <- sum(wtt*y/(1+odds))/sum(wtt) 112 odds <- exp(eta) functionVar 113 p <- odds/(1+odds) 114 q <- 1/(1+odds)
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/dports/databases/percona57-client/percona-server-5.7.36-39/storage/rocksdb/rocksdb/test_util/ |
H A D | sync_point_impl.cc | 20 int odds = rocksdb_kill_odds * odds_weight; in TestKillRandom() local 27 assert(odds > 0); in TestKillRandom() 28 if (odds % 7 == 0) { in TestKillRandom() 31 odds++; in TestKillRandom() 34 bool crash = r->OneIn(odds); in TestKillRandom()
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/dports/databases/percona57-server/percona-server-5.7.36-39/storage/rocksdb/rocksdb/test_util/ |
H A D | sync_point_impl.cc | 20 int odds = rocksdb_kill_odds * odds_weight; in TestKillRandom() local 27 assert(odds > 0); in TestKillRandom() 28 if (odds % 7 == 0) { in TestKillRandom() 31 odds++; in TestKillRandom() 34 bool crash = r->OneIn(odds); in TestKillRandom()
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/dports/databases/percona57-pam-for-mysql/percona-server-5.7.36-39/storage/rocksdb/rocksdb/test_util/ |
H A D | sync_point_impl.cc | 20 int odds = rocksdb_kill_odds * odds_weight; in TestKillRandom() local 27 assert(odds > 0); in TestKillRandom() 28 if (odds % 7 == 0) { in TestKillRandom() 31 odds++; in TestKillRandom() 34 bool crash = r->OneIn(odds); in TestKillRandom()
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/dports/math/libpgmath/flang-d07daf3/test/ncar_kernels/CAM5_wetdepa/src/ |
H A D | wetdep_orig.F90 | 283 real(r8) odds ! limit on removal rate (proportional to prec) local 465 odds=max( & 540 odds = precabs(i)/max(cldmabs(i),1.e-5_r8)*scavcoef(i,k)*deltat 541 odds = max(min(1._r8,odds),0._r8) 546 odds = precabs(i)/max(cldmabs(i),1.e-5_r8)*scavcoef(i,k)*deltat 547 odds = max(min(1._r8,odds),0._r8) 738 real(r8) odds ! limit on removal rate (proportional to prec) local 855 odds=max( & 859 + sol_factbi*cldmabc(i)*odds*tracer(i,k)*(weight)/deltat !ice 891 odds = precabs(i)/max(cldmabs(i),1.e-5_r8)*scavcoef(i,k)*deltat [all …]
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H A D | wetdep_orig.f90 | 283 real(r8) odds ! limit on removal rate (proportional to prec) local 465 odds=max( & 540 odds = precabs(i)/max(cldmabs(i),1.e-5_r8)*scavcoef(i,k)*deltat 541 odds = max(min(1._r8,odds),0._r8) 546 odds = precabs(i)/max(cldmabs(i),1.e-5_r8)*scavcoef(i,k)*deltat 547 odds = max(min(1._r8,odds),0._r8) 738 real(r8) odds ! limit on removal rate (proportional to prec) local 855 odds=max( & 859 + sol_factbi*cldmabc(i)*odds*tracer(i,k)*(weight)/deltat !ice 891 odds = precabs(i)/max(cldmabs(i),1.e-5_r8)*scavcoef(i,k)*deltat [all …]
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/dports/math/R-cran-VGAM/VGAM/man/ |
H A D | binom2.or.Rd | 6 Fits a Palmgren (bivariate odds-ratio model, or 10 The odds ratio is used as a measure of dependency. 35 Link function applied to the odds ratio. 41 Optional initial values for the marginal probabilities and odds ratio. 50 The default is for the odds ratio. 85 predictor relating the odds ratio to explanatory variables. 97 The two binary responses are independent if and only if the odds ratio 98 is unity, or equivalently, the log odds ratio is 0. Fisher scoring 167 \emph{bivariate odds-ratio model}. 177 By default, a constant odds ratio is fitted because \code{zero = 3}. [all …]
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/dports/textproc/p5-Text-NSP/Text-NSP-1.31/Testing/odds/ |
H A D | error-handling.sh | 34 statistic.pl --ngram 3 odds test-1.out $TESTFILE >& error1.out 88 statistic.pl --set_freq_combo $FREQCOMBFILE odds test-2.out $TESTFILE >& error2.out 132 statistic.pl odds test-3.out $TESTFILE >& error3.out 185 statistic.pl odds test-4.out $TESTFILE >& error4.out
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/dports/databases/rocksdb/rocksdb-6.26.1/test_util/ |
H A D | sync_point_impl.cc | 20 int odds = rocksdb_kill_odds * odds_weight; in TestKillRandom() local 27 assert(odds > 0); in TestKillRandom() 28 if (odds % 7 == 0) { in TestKillRandom() 31 odds++; in TestKillRandom() 34 bool crash = r->OneIn(odds); in TestKillRandom()
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/dports/databases/rocksdb-lite/rocksdb-6.26.1/test_util/ |
H A D | sync_point_impl.cc | 20 int odds = rocksdb_kill_odds * odds_weight; in TestKillRandom() local 27 assert(odds > 0); in TestKillRandom() 28 if (odds % 7 == 0) { in TestKillRandom() 31 odds++; in TestKillRandom() 34 bool crash = r->OneIn(odds); in TestKillRandom()
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/dports/www/chromium-legacy/chromium-88.0.4324.182/chrome/browser/metrics/perf/ |
H A D | random_selector.h | 56 bool SetOdds(const std::vector<WeightAndValue>& odds); 66 const std::vector<WeightAndValue>& odds() const { return odds_; } in odds() function 70 static double SumWeights(const std::vector<WeightAndValue>& odds);
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/dports/multimedia/scte35dump/scte35dump-0.1.6/cargo-crates/odds-0.2.26/ |
H A D | Cargo.toml | 14 name = "odds" 17 …s for strings and vectors: `repeat`, `insert_str` and `splice`. Things in odds may move to more ap… 18 documentation = "https://docs.rs/odds/" 22 repository = "https://github.com/bluss/odds"
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/dports/games/wolfpack/empire-4.4.1/src/lib/commands/ |
H A D | anti.c | 55 double odds, damil, dache; in c_anti() local 93 odds = (dache * 2.0 / (damil + dache)); in c_anti() 94 odds /= hap_fact(getnatp(sect.sct_own), in c_anti() 97 if (chance(odds)) { in c_anti()
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/dports/devel/R-cran-Hmisc/Hmisc/man/ |
H A D | popower.Rd | 9 of ordinal outcomes under the proportional odds ordinal logistic 20 popower(p, odds.ratio, n, n1, n2, alpha=0.05) 22 posamsize(p, odds.ratio, fraction=.5, alpha=0.05, power=0.8) 31 \item{odds.ratio}{ 32 the odds ratio to be able to detect. It doesn't 98 \concept{proportional odds model}
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/dports/multimedia/scte35dump/scte35dump-0.1.6/cargo-crates/odds-0.2.26/benches/ |
H A D | count_ones.rs | 7 extern crate odds; 8 use odds::slice::split_aligned_for; 9 use odds::slice::unalign::UnalignedIter;
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/dports/science/py-scipy/scipy-1.7.1/scipy/stats/tests/ |
H A D | test_discrete_distns.py | 310 odds = np.random.rand(*x.shape)*2 variable in TestNCH 322 assert_allclose(dist.pmf(x, N, m1, n, odds=1), 327 x, N, m1, n, odds = self.x, self.N, self.m1, self.n, self.odds 352 pmf, mean, var = pmf_mean_var(x, N, m1, n, odds) 353 assert_allclose(nchypergeom_fisher.pmf(x, N, m1, n, odds), pmf) 354 assert_allclose(nchypergeom_fisher.stats(N, m1, n, odds, moments='m'), 356 assert_allclose(nchypergeom_fisher.stats(N, m1, n, odds, moments='v'), 448 odds = 2.25 477 assert_allclose(nchypergeom_wallenius.pmf(sup, M, n, N, odds), pmf, 479 assert_allclose(nchypergeom_wallenius.mean(M, n, N, odds), [all …]
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/dports/databases/speedtables/speedtables-1.13.12/ctables/tests/ |
H A D | multireader.tcl | 50 lappend odds($id) [list $i $found] 67 if [info exists odds($id)] { 68 puts "$pid: $id: details: $odds($id)"
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/dports/devel/p5-List-Objects-WithUtils/List-Objects-WithUtils-2.028003/t/01_array/ |
H A D | part.t | 6 my ($evens, $odds) = array( 1 .. 6 )->part(sub { $_ & 1 })->all; 14 [ $odds->all ], 16 'part() with args picked odds ok';
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/dports/math/fricas/fricas-1.3.7/pre-generated/target/share/spadhelp/ |
H A D | Stream.help | 38 odds := [2*i+1 for i in ints] 44 scan(0,+,odds) 50 [i*j for i in ints for j in odds] 54 map(*,ints,odds)
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/dports/devel/boost-docs/boost_1_72_0/libs/compute/test/ |
H A D | test_copy_if.cpp | 55 bc::vector<int> odds(input.size(), context); in BOOST_AUTO_TEST_CASE() local 58 odds.begin(), _1 % 2 == 1, queue); in BOOST_AUTO_TEST_CASE() 59 BOOST_CHECK(odds_end == odds.begin() + 6); in BOOST_AUTO_TEST_CASE() 60 CHECK_RANGE_EQUAL(int, 6, odds, (1, 3, 5, 1, 3, 5)); in BOOST_AUTO_TEST_CASE()
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/dports/devel/boost-python-libs/boost_1_72_0/libs/compute/test/ |
H A D | test_copy_if.cpp | 55 bc::vector<int> odds(input.size(), context); in BOOST_AUTO_TEST_CASE() local 58 odds.begin(), _1 % 2 == 1, queue); in BOOST_AUTO_TEST_CASE() 59 BOOST_CHECK(odds_end == odds.begin() + 6); in BOOST_AUTO_TEST_CASE() 60 CHECK_RANGE_EQUAL(int, 6, odds, (1, 3, 5, 1, 3, 5)); in BOOST_AUTO_TEST_CASE()
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/dports/devel/boost-libs/boost_1_72_0/libs/compute/test/ |
H A D | test_copy_if.cpp | 55 bc::vector<int> odds(input.size(), context); in BOOST_AUTO_TEST_CASE() local 58 odds.begin(), _1 % 2 == 1, queue); in BOOST_AUTO_TEST_CASE() 59 BOOST_CHECK(odds_end == odds.begin() + 6); in BOOST_AUTO_TEST_CASE() 60 CHECK_RANGE_EQUAL(int, 6, odds, (1, 3, 5, 1, 3, 5)); in BOOST_AUTO_TEST_CASE()
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