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/dports/deskutils/calibre/calibre-src-5.34.0/recipes/
H A Ddaily_mirror.recipe78 cov2 = str(cov)
79 cov2 = 'http://www.politicshome.com' + cov2[9:-142]
80 # cov2 now contains url of the page containing pic
81 soup = self.index_to_soup(cov2)
84 cov2 = re.findall(
86 cov2 = str(cov2)
87 cov2 = cov2[2:len(cov2) - 2]
88 # cov2 now is pic url, now go back to original function
92 br.open_novisit(cov2)
93 cover_url = cov2
H A Dbirmingham_post.recipe33 cov2 = str(cov['src'])
34 print('88888888 ', cov2, ' 888888888888')
36 # cover_url=cov2
41 br.open_novisit(cov2)
42 cover_url = cov2
/dports/biology/seqan-apps/seqan-seqan-v2.4.0/tests/journaled_string_tree/
H A Dtest_delta_map.h76 TCoverage cov2; in createMock() local
77 _getCoverage(cov2, 10, 5); in createMock()
103 TCoverage cov2; in SEQAN_DEFINE_TEST() local
104 _getCoverage(cov2, 10, 5); in SEQAN_DEFINE_TEST()
142 TCoverage cov2; in SEQAN_DEFINE_TEST() local
143 _getCoverage(cov2, 10, 5); in SEQAN_DEFINE_TEST()
175 TCoverage cov2; in SEQAN_DEFINE_TEST() local
176 _getCoverage(cov2, 10, 5); in SEQAN_DEFINE_TEST()
200 TCoverage cov2; in SEQAN_DEFINE_TEST() local
201 _getCoverage(cov2, 10, 5); in SEQAN_DEFINE_TEST()
[all …]
/dports/lang/ruby26/ruby-2.6.9/tool/
H A Dtest-coverage.rb9 cov2 = res2[path]
10 if cov2
13 add_count(cov2[:lines], i, count1)
16 if cov2[:branches][base_key]
18 add_count(cov2[:branches][base_key], target_key, count1)
21 cov2[:branches][base_key] = targets1
25 add_count(cov2[:methods], key, count1)
/dports/science/R-cran-cmprsk/cmprsk/R/
H A Dcmprsk.R39 if(!missing(cov2))
49 if (!missing(cov2)) {
50 cov2 <- as.matrix(cov2)
51 nc2 <- ncol(cov2)
52 d <- cbind(d,cov2)
89 cov2 <- 0
289 function(object,cov1,cov2,...) { argument
304 cov2 <- as.matrix(cov2)
312 c(cov2*object$coef[(np-length(cov2)+1):np]))*object$bfitj)
315 cov2 <- as.matrix(cov2)
[all …]
/dports/science/R-cran-cmprsk/cmprsk/tests/
H A Dtest.R34 cov2 <- cbind(cv[,1],cv[,1]) globalVar
36 print(ww <- crr(ss,cc,cv,cov2,tf=tf,cengroup=cv[,3]))
44 print(ww <- crr(ssd,ccd,cbind(cv[,1:2],cv3),cov2,tf=tf,cengroup=cv3))
45 print(ww <- crr(ssd,ccd,cbind(cv[,1:2],cv3),cov2,tf=tf))
50 print(ww <- crr(ss,cc,cv,cov2,tf=tf,cengroup=cv[,3],subset=d2$X==1))
51 print(ww <- crr(ss,cc,cv,cov2,tf=tf,cengroup=cv[,3],failcode=2))
52 print(ww <- crr(ss,cc,cv,cov2,tf=tf,cengroup=cv[,3],cencode=2))
54 print(ww <- crr(ss,cc,cov2=cv[,1],tf=function(x) x))
/dports/science/dakota/dakota-6.13.0-release-public.src-UI/packages/external/muq2/modules/SamplingAlgorithms/test/
H A DMarkovChainTests.cpp155 Eigen::MatrixXd cov2 = collection.Covariance(); in TEST_F() local
157 EXPECT_NEAR(trueCov(0,0), cov2(0,0), 50.0/sqrt(double(numSamps))); in TEST_F()
158 EXPECT_NEAR(trueCov(0,1), cov2(0,1), 100.0/sqrt(double(numSamps))); in TEST_F()
159 EXPECT_NEAR(trueCov(1,0), cov2(1,0), 100.0/sqrt(double(numSamps))); in TEST_F()
160 EXPECT_NEAR(trueCov(1,1), cov2(1,1), 150.0/sqrt(double(numSamps))); in TEST_F()
162 EXPECT_NEAR(sampCov(0,0), cov2(0,0), 1e-13); in TEST_F()
163 EXPECT_NEAR(sampCov(0,1), cov2(0,1), 1e-13); in TEST_F()
164 EXPECT_NEAR(sampCov(1,0), cov2(1,0), 1e-13); in TEST_F()
165 EXPECT_NEAR(sampCov(1,1), cov2(1,1), 1e-13); in TEST_F()
H A DSampleCollectionTests.cpp181 Eigen::MatrixXd cov2 = collection.Covariance(); in TEST_F() local
183 EXPECT_NEAR(trueCov(0,0), cov2(0,0), 5.0/sqrt(double(numSamps))); in TEST_F()
184 EXPECT_NEAR(trueCov(0,1), cov2(0,1), 10.0/sqrt(double(numSamps))); in TEST_F()
185 EXPECT_NEAR(trueCov(1,0), cov2(1,0), 10.0/sqrt(double(numSamps))); in TEST_F()
186 EXPECT_NEAR(trueCov(1,1), cov2(1,1), 50.0/sqrt(double(numSamps))); in TEST_F()
188 EXPECT_NEAR(sampCov(0,0), cov2(0,0), 1e-13); in TEST_F()
189 EXPECT_NEAR(sampCov(0,1), cov2(0,1), 1e-13); in TEST_F()
190 EXPECT_NEAR(sampCov(1,0), cov2(1,0), 1e-13); in TEST_F()
191 EXPECT_NEAR(sampCov(1,1), cov2(1,1), 1e-13); in TEST_F()
/dports/science/R-cran-cmprsk/cmprsk/man/
H A Dpredict.crr.Rd10 \method{predict}{crr}(object, cov1, cov2, \dots)
16 \item{cov1, cov2}{
17 each row of cov1 and cov2 is a set of covariate values where the
18 subdistribution should be estimated. The columns of cov1 and cov2 must
30 and cov2, at each failure time (the value that the estimate jumps to at
/dports/devel/boost-docs/boost_1_72_0/libs/accumulators/test/
H A Dtail_variate_means.cpp43 variate_set_type cov1, cov2, cov3, cov4, cov5; in test_stat() local
50 cov2.assign(c2, c2 + sizeof(c2)/sizeof(variate_type)); in test_stat()
56 acc1( 50., covariate1 = cov2); in test_stat()
62 acc2( 50., covariate1 = cov2); in test_stat()
68 acc3( 50., covariate1 = cov2); in test_stat()
74 acc4( 50., covariate1 = cov2); in test_stat()
H A Dweighted_tail_variate_means.cpp43 variate_set_type cov1, cov2, cov3, cov4, cov5; in test_stat() local
50 cov2.assign(c2, c2 + sizeof(c2)/sizeof(variate_type)); in test_stat()
56 acc1( 50., weight = 0.9, covariate1 = cov2); in test_stat()
62 acc2( 50., weight = 0.9, covariate1 = cov2); in test_stat()
68 acc3( 50., weight = 0.9, covariate1 = cov2); in test_stat()
74 acc4( 50., weight = 0.9, covariate1 = cov2); in test_stat()
/dports/databases/percona57-pam-for-mysql/boost_1_59_0/libs/accumulators/test/
H A Dtail_variate_means.cpp43 variate_set_type cov1, cov2, cov3, cov4, cov5; in test_stat() local
50 cov2.assign(c2, c2 + sizeof(c2)/sizeof(variate_type)); in test_stat()
56 acc1( 50., covariate1 = cov2); in test_stat()
62 acc2( 50., covariate1 = cov2); in test_stat()
68 acc3( 50., covariate1 = cov2); in test_stat()
74 acc4( 50., covariate1 = cov2); in test_stat()
H A Dweighted_tail_variate_means.cpp43 variate_set_type cov1, cov2, cov3, cov4, cov5; in test_stat() local
50 cov2.assign(c2, c2 + sizeof(c2)/sizeof(variate_type)); in test_stat()
56 acc1( 50., weight = 0.9, covariate1 = cov2); in test_stat()
62 acc2( 50., weight = 0.9, covariate1 = cov2); in test_stat()
68 acc3( 50., weight = 0.9, covariate1 = cov2); in test_stat()
74 acc4( 50., weight = 0.9, covariate1 = cov2); in test_stat()
/dports/databases/xtrabackup/boost_1_59_0/libs/accumulators/test/
H A Dtail_variate_means.cpp43 variate_set_type cov1, cov2, cov3, cov4, cov5; in test_stat() local
50 cov2.assign(c2, c2 + sizeof(c2)/sizeof(variate_type)); in test_stat()
56 acc1( 50., covariate1 = cov2); in test_stat()
62 acc2( 50., covariate1 = cov2); in test_stat()
68 acc3( 50., covariate1 = cov2); in test_stat()
74 acc4( 50., covariate1 = cov2); in test_stat()
H A Dweighted_tail_variate_means.cpp43 variate_set_type cov1, cov2, cov3, cov4, cov5; in test_stat() local
50 cov2.assign(c2, c2 + sizeof(c2)/sizeof(variate_type)); in test_stat()
56 acc1( 50., weight = 0.9, covariate1 = cov2); in test_stat()
62 acc2( 50., weight = 0.9, covariate1 = cov2); in test_stat()
68 acc3( 50., weight = 0.9, covariate1 = cov2); in test_stat()
74 acc4( 50., weight = 0.9, covariate1 = cov2); in test_stat()
/dports/databases/percona57-server/boost_1_59_0/libs/accumulators/test/
H A Dtail_variate_means.cpp43 variate_set_type cov1, cov2, cov3, cov4, cov5; in test_stat() local
50 cov2.assign(c2, c2 + sizeof(c2)/sizeof(variate_type)); in test_stat()
56 acc1( 50., covariate1 = cov2); in test_stat()
62 acc2( 50., covariate1 = cov2); in test_stat()
68 acc3( 50., covariate1 = cov2); in test_stat()
74 acc4( 50., covariate1 = cov2); in test_stat()
H A Dweighted_tail_variate_means.cpp43 variate_set_type cov1, cov2, cov3, cov4, cov5; in test_stat() local
50 cov2.assign(c2, c2 + sizeof(c2)/sizeof(variate_type)); in test_stat()
56 acc1( 50., weight = 0.9, covariate1 = cov2); in test_stat()
62 acc2( 50., weight = 0.9, covariate1 = cov2); in test_stat()
68 acc3( 50., weight = 0.9, covariate1 = cov2); in test_stat()
74 acc4( 50., weight = 0.9, covariate1 = cov2); in test_stat()
/dports/databases/percona57-client/boost_1_59_0/libs/accumulators/test/
H A Dtail_variate_means.cpp43 variate_set_type cov1, cov2, cov3, cov4, cov5; in test_stat() local
50 cov2.assign(c2, c2 + sizeof(c2)/sizeof(variate_type)); in test_stat()
56 acc1( 50., covariate1 = cov2); in test_stat()
62 acc2( 50., covariate1 = cov2); in test_stat()
68 acc3( 50., covariate1 = cov2); in test_stat()
74 acc4( 50., covariate1 = cov2); in test_stat()
H A Dweighted_tail_variate_means.cpp43 variate_set_type cov1, cov2, cov3, cov4, cov5; in test_stat() local
50 cov2.assign(c2, c2 + sizeof(c2)/sizeof(variate_type)); in test_stat()
56 acc1( 50., weight = 0.9, covariate1 = cov2); in test_stat()
62 acc2( 50., weight = 0.9, covariate1 = cov2); in test_stat()
68 acc3( 50., weight = 0.9, covariate1 = cov2); in test_stat()
74 acc4( 50., weight = 0.9, covariate1 = cov2); in test_stat()
/dports/devel/boost-libs/boost_1_72_0/libs/accumulators/test/
H A Dtail_variate_means.cpp43 variate_set_type cov1, cov2, cov3, cov4, cov5; in test_stat() local
50 cov2.assign(c2, c2 + sizeof(c2)/sizeof(variate_type)); in test_stat()
56 acc1( 50., covariate1 = cov2); in test_stat()
62 acc2( 50., covariate1 = cov2); in test_stat()
68 acc3( 50., covariate1 = cov2); in test_stat()
74 acc4( 50., covariate1 = cov2); in test_stat()
H A Dweighted_tail_variate_means.cpp43 variate_set_type cov1, cov2, cov3, cov4, cov5; in test_stat() local
50 cov2.assign(c2, c2 + sizeof(c2)/sizeof(variate_type)); in test_stat()
56 acc1( 50., weight = 0.9, covariate1 = cov2); in test_stat()
62 acc2( 50., weight = 0.9, covariate1 = cov2); in test_stat()
68 acc3( 50., weight = 0.9, covariate1 = cov2); in test_stat()
74 acc4( 50., weight = 0.9, covariate1 = cov2); in test_stat()
/dports/devel/boost-python-libs/boost_1_72_0/libs/accumulators/test/
H A Dtail_variate_means.cpp43 variate_set_type cov1, cov2, cov3, cov4, cov5; in test_stat() local
50 cov2.assign(c2, c2 + sizeof(c2)/sizeof(variate_type)); in test_stat()
56 acc1( 50., covariate1 = cov2); in test_stat()
62 acc2( 50., covariate1 = cov2); in test_stat()
68 acc3( 50., covariate1 = cov2); in test_stat()
74 acc4( 50., covariate1 = cov2); in test_stat()
H A Dweighted_tail_variate_means.cpp43 variate_set_type cov1, cov2, cov3, cov4, cov5; in test_stat() local
50 cov2.assign(c2, c2 + sizeof(c2)/sizeof(variate_type)); in test_stat()
56 acc1( 50., weight = 0.9, covariate1 = cov2); in test_stat()
62 acc2( 50., weight = 0.9, covariate1 = cov2); in test_stat()
68 acc3( 50., weight = 0.9, covariate1 = cov2); in test_stat()
74 acc4( 50., weight = 0.9, covariate1 = cov2); in test_stat()
/dports/databases/mysqlwsrep57-server/boost_1_59_0/libs/accumulators/test/
H A Dtail_variate_means.cpp43 variate_set_type cov1, cov2, cov3, cov4, cov5; in test_stat() local
50 cov2.assign(c2, c2 + sizeof(c2)/sizeof(variate_type)); in test_stat()
56 acc1( 50., covariate1 = cov2); in test_stat()
62 acc2( 50., covariate1 = cov2); in test_stat()
68 acc3( 50., covariate1 = cov2); in test_stat()
74 acc4( 50., covariate1 = cov2); in test_stat()
/dports/devel/hyperscan/boost_1_75_0/libs/accumulators/test/
H A Dtail_variate_means.cpp43 variate_set_type cov1, cov2, cov3, cov4, cov5; in test_stat() local
50 cov2.assign(c2, c2 + sizeof(c2)/sizeof(variate_type)); in test_stat()
56 acc1( 50., covariate1 = cov2); in test_stat()
62 acc2( 50., covariate1 = cov2); in test_stat()
68 acc3( 50., covariate1 = cov2); in test_stat()
74 acc4( 50., covariate1 = cov2); in test_stat()

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