* using log directory ‘/data/gannet/ripley/R/packages/tests-MKL/slideimp.Rcheck’ * using R Under development (unstable) (2026-04-27 r89966) * using platform: x86_64-pc-linux-gnu * R was compiled by gcc (GCC) 15.2.1 20260123 (Red Hat 15.2.1-7) GNU Fortran (GCC) 15.2.1 20260123 (Red Hat 15.2.1-7) * running under: Fedora Linux 42 (Workstation Edition) * using session charset: UTF-8 * current time: 2026-04-28 08:51:22 UTC * using option ‘--no-stop-on-test-error’ * checking for file ‘slideimp/DESCRIPTION’ ... OK * checking extension type ... Package * this is package ‘slideimp’ version ‘1.0.0’ * package encoding: UTF-8 * checking package namespace information ... OK * checking package dependencies ... OK * checking if this is a source package ... OK * checking if there is a namespace ... OK * checking for executable files ... OK * checking for hidden files and directories ... OK * checking for portable file names ... OK * checking for sufficient/correct file permissions ... OK * checking whether package ‘slideimp’ can be installed ... [151s/113s] OK * used C++ compiler: ‘g++ (GCC) 15.2.1 20260123 (Red Hat 15.2.1-7)’ * checking C++ specification ... INFO specified C++17 * checking package directory ... OK * checking ‘build’ directory ... OK * checking DESCRIPTION meta-information ... OK * checking top-level files ... OK * checking for left-over files ... OK * checking index information ... OK * checking package subdirectories ... OK * checking code files for non-ASCII characters ... OK * checking R files for syntax errors ... OK * checking whether the package can be loaded ... OK * checking whether the package can be loaded with stated dependencies ... OK * checking whether the package can be unloaded cleanly ... OK * checking whether the namespace can be loaded with stated dependencies ... OK * checking whether the namespace can be unloaded cleanly ... OK * checking loading without being on the library search path ... OK * checking use of S3 registration ... OK * checking dependencies in R code ... OK * checking S3 generic/method consistency ... OK * checking replacement functions ... OK * checking foreign function calls ... OK * checking R code for possible problems ... [13s/18s] OK * checking Rd files ... OK * checking Rd metadata ... OK * checking Rd line widths ... OK * checking Rd cross-references ... OK * checking for missing documentation entries ... OK * checking for code/documentation mismatches ... OK * checking Rd \usage sections ... OK * checking Rd contents ... OK * checking for unstated dependencies in examples ... OK * checking line endings in C/C++/Fortran sources/headers ... OK * checking line endings in Makefiles ... OK * checking compilation flags in Makevars ... OK * checking for GNU extensions in Makefiles ... OK * checking for portable use of $(BLAS_LIBS) and $(LAPACK_LIBS) ... OK * checking use of PKG_*FLAGS in Makefiles ... OK * checking use of SHLIB_OPENMP_*FLAGS in Makefiles ... OK * checking pragmas in C/C++ headers and code ... OK * checking compilation flags used ... OK * checking compiled code ... OK * checking installed files from ‘inst/doc’ ... OK * checking files in ‘vignettes’ ... OK * checking examples ... OK * checking for unstated dependencies in ‘tests’ ... OK * checking tests ... Running ‘testthat.R’ [36s/45s] [36s/46s] ERROR Running the tests in ‘tests/testthat.R’ failed. Complete output: > # This file is part of the standard setup for testthat. > # It is recommended that you do not modify it. > # > # Where should you do additional test configuration? > # Learn more about the roles of various files in: > # * https://r-pkgs.org/testing-design.html#sec-tests-files-overview > # * https://testthat.r-lib.org/articles/special-files.html > > library(testthat) > library(slideimp) > > test_check("slideimp") Imputing 2 group(s) using KNN. Running Mode: sequential ... Imputing 2 group(s) using KNN. Running Mode: sequential ... Imputing 2 group(s) using PCA. Running Mode: sequential ... Imputing 2 group(s) using PCA. Running Mode: sequential ... Imputing 2 group(s) using KNN. Running Mode: sequential ... Imputing 2 group(s) using KNN. Running Mode: sequential ... Imputing 3 group(s) using KNN. Running Mode: sequential ... Imputing 2 group(s) using KNN. Running Mode: sequential ... Imputing 2 group(s) using KNN. Running Mode: sequential ... Imputing 2 group(s) using PCA. Running Mode: sequential ... Imputing 2 group(s) using KNN. Running Mode: sequential ... 10 column(s) in `obj` have no matching entry in `group` and will be left untouched: feature1, feature2, feature3, feature4, feature5, .... Imputing 2 group(s) using KNN. Running Mode: sequential ... Imputing 2 group(s) using PCA. Running Mode: sequential ... 10 column(s) in `obj` have no matching entry in `group` and will be left untouched: feature1, feature2, feature3, feature4, feature5, .... Imputing 2 group(s) using PCA. Running Mode: sequential ... 1 column(s) in `obj` have no matching entry in `group` and will be left untouched: e. 3 column(s) in `obj` have no matching entry in `group` and will be left untouched: d, e, f. 15 column(s) in `obj` have no matching entry in `group` and will be left untouched: feature6, feature7, feature8, feature9, feature10, .... Imputing 1 group(s) using KNN. Running Mode: sequential ... Step 1/2: Imputing Processing window 1 of 3 Processing window 2 of 3 Processing window 3 of 3 Step 2/2: Averaging overlapping regions Step 1/2: Imputing Processing window 1 of 3 Processing window 2 of 3 Processing window 3 of 3 Step 2/2: Averaging overlapping regions Step 1/2: Imputing Processing window 1 of 3 Processing window 2 of 3 Processing window 3 of 3 Step 2/2: Averaging overlapping regions No features in `subset` detected. No imputation was performed. No columns to impute. Returning input unchanged. Dropping 1 window(s) covering no `subset` columns. Step 1/2: Imputing Processing window 1 of 2 Processing window 2 of 2 Step 2/2: Averaging overlapping regions Note: 10 column(s) not covered by any window; original values retained. Step 1/2: Imputing Processing window 1 of 3 Processing window 2 of 3 Processing window 3 of 3 Step 2/2: Averaging overlapping regions Step 1/2: Imputing Processing window 1 of 3 Processing window 2 of 3 Processing window 3 of 3 Step 2/2: Averaging overlapping regions Saving _problems/test-slide_imp-267.R Step 1/2: Imputing Processing window 1 of 3 Processing window 2 of 3 Processing window 3 of 3 Step 2/2: Averaging overlapping regions Dropping 1 window(s) covering no `subset` columns. Step 1/2: Imputing Processing window 1 of 2 Processing window 2 of 2 Step 2/2: Averaging overlapping regions Note: 10 column(s) not covered by any window; original values retained. Dropping 1 window(s) covering no `subset` columns. Step 1/2: Imputing Processing window 1 of 2 Processing window 2 of 2 Step 2/2: Averaging overlapping regions Note: 10 column(s) not covered by any window; original values retained. Tuning slide_imp Step 1/2: Resolving NA locations Running Mode: sequential... Step 2/2: Tuning Tuning knn_imp Step 1/2: Resolving NA locations Running Mode: sequential... Step 2/2: Tuning Tuning pca_imp Step 1/2: Resolving NA locations Running Mode: sequential... Step 2/2: Tuning Tuning custom function Step 1/2: Resolving NA locations Running Mode: sequential... Step 2/2: Tuning Tuning slide_imp Step 1/2: Resolving NA locations Running Mode: sequential... Step 2/2: Tuning Tuning knn_imp Step 1/2: Resolving NA locations Running Mode: sequential... Step 2/2: Tuning Tuning custom function Step 1/2: Resolving NA locations Running Mode: sequential... Step 2/2: Tuning Tuning slide_imp Step 1/2: Resolving NA locations Running Mode: sequential... Step 2/2: Tuning Tuning custom function Step 1/2: Resolving NA locations Running Mode: sequential... Step 2/2: Tuning Tuning custom function Step 1/2: Resolving NA locations Running Mode: sequential... Step 2/2: Tuning Tuning custom function Step 1/2: Resolving NA locations Running Mode: sequential... Step 2/2: Tuning Tuning custom function Step 1/2: Resolving NA locations Running Mode: sequential... Step 2/2: Tuning Tuning custom function Step 1/2: Resolving NA locations Running Mode: sequential... Step 2/2: Tuning Tuning custom function Step 1/2: Resolving NA locations Running Mode: sequential... Step 2/2: Tuning Tuning custom function Step 1/2: Resolving NA locations Running Mode: sequential... Step 2/2: Tuning Tuning custom function Step 1/2: Resolving NA locations Running Mode: sequential... Step 2/2: Tuning [ FAIL 1 | WARN 0 | SKIP 3 | PASS 419 ] ══ Skipped tests (3) ═══════════════════════════════════════════════════════════ • Manual Testing Only (1): 'test-knn_imp.R:96:3' • empty test (1): 'test-group_imp.R:331:1' • manual testing with {slideimp.extra} on local machines only (1): 'test-group_imp.R:678:3' ══ Failed tests ════════════════════════════════════════════════════════════════ ── Failure ('test-slide_imp.R:267:3'): slide_imp pca mode works ──────────────── Expected `simple_mean[, ]` to be identical to `final_imputed`. Differences: actual | expected [1] 0.137152654770746008 - 0.137152654770746396 [1] [2] 0.533893460761079131 | 0.533893460761079131 [2] [3] 0.607196993823636788 - 0.607196993823637121 [3] [4] 0.032050825982649023 - 0.032050825982648412 [4] [5] 0.522831394472641708 | 0.522831394472641708 [5] [6] 0.582687969487138302 - 0.582687969487138413 [6] [7] 0.579847570278361202 | 0.579847570278361202 [7] [8] 0.228865641865563074 - 0.228865641865562880 [8] [9] 0.387426985185477968 - 0.387426985185477468 [9] [10] 0.186396290952106747 | 0.186396290952106747 [10] ... ... ... and 80 more ... actual | expected [94] 0.718232025294901044 | 0.718232025294901044 [94] [95] 0.731238329429823808 | 0.731238329429823808 [95] [96] 0.681407343773421492 | 0.681407343773421492 [96] [97] 0.648761771538265308 - 0.648761771538265530 [97] [98] 0.364857936983145059 - 0.364857936983144948 [98] [99] 0.512467789427811016 | 0.512467789427811016 [99] [100] 1.000000000000000000 | 1.000000000000000000 [100] [101] 0.307882974552782795 - 0.307882974552783018 [101] [102] 0.459135054096686757 | 0.459135054096686757 [102] [103] 0.602389553756761620 - 0.602389553756761287 [103] ... ... ... and 15 more ... actual | expected [121] 0.203808060082514814 | 0.203808060082514814 [121] [122] 0.921173254524991214 | 0.921173254524991214 [122] [123] 0.932008123547950929 | 0.932008123547950929 [123] [124] 0.207292812999874287 - 0.207292812999874010 [124] [125] 0.610298384666487559 - 0.610298384666487115 [125] [126] 0.723977545115154220 | 0.723977545115154220 [126] [127] 0.709072619687486805 - 0.709072619687487249 [127] [128] 0.487381723957961865 | 0.487381723957961865 [128] [129] 0.531572595267552295 - 0.531572595267552073 [129] [130] 0.415029576094580133 - 0.415029576094580022 [130] ... ... ... and 64 more ... actual | expected [195] 0.504613996664833531 | 0.504613996664833531 [195] [196] 0.458668271374216063 | 0.458668271374216063 [196] [197] 0.265698705253166023 | 0.265698705253166023 [197] [198] 0.356282275721795494 - 0.356282275721795438 [198] [199] 0.170815502588454016 | 0.170815502588454016 [199] [200] 0.683164380354881251 - 0.683164380354881029 [200] [201] 0.232012996188425413 - 0.232012996188426412 [201] [202] 0.659215234968516084 | 0.659215234968516084 [202] [203] 1.000000000000000000 | 1.000000000000000000 [203] [204] 0.064697787285013020 - 0.064697787285014186 [204] ... ... ... and 46 more ... actual | expected [251] 0.467436973174666148 | 0.467436973174666148 [251] [252] 0.693408473964296501 | 0.693408473964296501 [252] [253] 0.562425218404155602 | 0.562425218404155602 [253] [254] 0.549972391788267179 - 0.549972391788267512 [254] [255] 1.000000000000000000 | 1.000000000000000000 [255] [256] 0.660351313779693805 - 0.660351313779694138 [256] [257] 0.458698207183826867 - 0.458698207183827589 [257] [258] 0.586993715264366167 | 0.586993715264366167 [258] [259] 0.458791681602115420 | 0.458791681602115420 [259] [260] 0.961503890813658835 | 0.961503890813658835 [260] ... ... ... and 730 more ... actual | expected [991] 0.904039542034037913 | 0.904039542034037913 [991] [992] 0.851295432588672463 | 0.851295432588672463 [992] [993] 0.284468762645933571 | 0.284468762645933571 [993] [994] 0.633882261163538518 - 0.633882261163538629 [994] [995] 0.971440536278664557 | 0.971440536278664557 [995] [996] 0.715132316613235286 | 0.715132316613235286 [996] [997] 0.511943069866028111 | 0.511943069866028111 [997] [998] 0.638299204770605200 - 0.638299204770604756 [998] [999] 0.589287349416176109 | 0.589287349416176109 [999] [1000] 0.964475495935995908 - 0.964475495935995131 [1000] ... ... ... and 49 more ... actual | expected [1050] 0.484273889199901109 | 0.484273889199901109 [1050] [1051] 0.267593447603709289 | 0.267593447603709289 [1051] [1052] 0.336105090101029069 | 0.336105090101029069 [1052] [1053] 0.368092970054740343 - 0.368092970054740287 [1053] [1054] 0.458284534376517061 | 0.458284534376517061 [1054] [1055] 0.527993009846471129 - 0.527993009846470462 [1055] [1056] 0.631049448574385274 | 0.631049448574385274 [1056] [1057] 0.586130618272237225 - 0.586130618272236670 [1057] [1058] 0.257936846640066941 | 0.257936846640066941 [1058] [1059] 0.470907606094055187 - 0.470907606094055020 [1059] ... ... ... and 14 more ... actual | expected [1074] 0.561908593358582675 | 0.561908593358582675 [1074] [1075] 0.716672079721842770 | 0.716672079721842770 [1075] [1076] 0.935036879727226378 | 0.935036879727226378 [1076] [1077] 0.492453447492955498 - 0.492453447492955554 [1077] [1078] 0.481707656405211349 - 0.481707656405211238 [1078] [1079] 0.447346283667270084 - 0.447346283667270028 [1079] [1080] 1.134253470053010471 - 1.134253470053010027 [1080] [1081] 0.249151013441462038 - 0.249151013441461899 [1081] [1082] 0.488216830819041547 - 0.488216830819041714 [1082] [1083] 0.611425570592096124 - 0.611425570592096346 [1083] ... ... ... and 74 more ... actual | expected [1159] 0.145571738474903151 | 0.145571738474903151 [1159] [1160] 0.907544416905836093 | 0.907544416905836093 [1160] [1161] 0.193587639376587628 | 0.193587639376587628 [1161] [1162] 0.500281123173836884 - 0.500281123173836773 [1162] [1163] 0.709781639200331327 | 0.709781639200331327 [1163] [1164] 0.055394088487750848 - 0.055394088487751403 [1164] [1165] 0.178363169989108866 | 0.178363169989108866 [1165] [1166] 0.569422458285213207 - 0.569422458285213096 [1166] [1167] 0.503818429037758975 - 0.503818429037759308 [1167] [1168] 0.297060721300283770 | 0.297060721300283770 [1168] ... ... ... and 89 more ... actual | expected [1259] 0.810387455002124502 | 0.810387455002124502 [1259] [1260] 0.827269113842065140 | 0.827269113842065140 [1260] [1261] 0.000000000000000000 | 0.000000000000000000 [1261] [1262] 0.362434967041321165 - 0.362434967041321221 [1262] [1263] 0.354221885458186114 | 0.354221885458186114 [1263] [1264] 0.157964215635205185 - 0.157964215635205102 [1264] [1265] 0.437703074859836339 - 0.437703074859836838 [1265] [1266] 0.399898407371849396 - 0.399898407371849340 [1266] [1267] 0.262325196803429472 - 0.262325196803428917 [1267] [1268] 0.349551180772452064 | 0.349551180772452064 [1268] ... ... ... and 64 more ... actual | expected [1334] 0.616846491729959312 | 0.616846491729959312 [1334] [1335] 1.000000000000000000 | 1.000000000000000000 [1335] [1336] 0.605777380409632360 | 0.605777380409632360 [1336] [1337] 0.502108280713142729 - 0.502108280713142840 [1337] [1338] 0.574298641906473395 - 0.574298641906473284 [1338] [1339] 0.516291482293448900 | 0.516291482293448900 [1339] [1340] 0.998968371327744742 | 0.998968371327744742 [1340] [1341] 0.000000000000000000 | 0.000000000000000000 [1341] [1342] 0.732501217244303948 | 0.732501217244303948 [1342] [1343] 0.828435262835534814 - 0.828435262835535147 [1343] ... ... ... and 26 more ... actual | expected [1370] 0.448734432746576539 | 0.448734432746576539 [1370] [1371] 0.635350048605197282 | 0.635350048605197282 [1371] [1372] 0.281640865915417427 | 0.281640865915417427 [1372] [1373] 0.277246407251191929 - 0.277246407251191318 [1373] [1374] 0.597832428785890713 | 0.597832428785890713 [1374] [1375] 0.902367697867828999 - 0.902367697867827889 [1375] [1376] 0.597322804433747523 - 0.597322804433746746 [1376] [1377] 0.680858900432058989 - 0.680858900432059433 [1377] [1378] 0.353121525019028493 - 0.353121525019028160 [1378] [1379] 0.261500733874506897 | 0.261500733874506897 [1379] ... ... ... and 100 more ... actual | expected [1483] 0.615800766445298575 | 0.615800766445298575 [1483] [1484] 0.523150969457247483 | 0.523150969457247483 [1484] [1485] 0.567355722943836183 | 0.567355722943836183 [1485] [1486] 0.575124215462052168 - 0.575124215462052391 [1486] [1487] 0.405943824758531413 - 0.405943824758532079 [1487] [1488] 0.664792095456402943 - 0.664792095456402721 [1488] [1489] 0.339934443879730430 | 0.339934443879730430 [1489] [1490] 0.630742213160776499 - 0.630742213160776055 [1490] [1491] 0.531573676873593470 - 0.531573676873594025 [1491] [1492] 0.243991994346839575 | 0.243991994346839575 [1492] ... ... ... and 75 more ... actual | expected [1568] 0.291628886697353706 | 0.291628886697353706 [1568] [1569] 0.398506281652444450 | 0.398506281652444450 [1569] [1570] 0.073480698617471127 | 0.073480698617471127 [1570] [1571] 0.496840461954273671 - 0.496840461954273560 [1571] [1572] 0.419800974728560816 - 0.419800974728560705 [1572] [1573] 0.427635615684854420 - 0.427635615684854753 [1573] [1574] 0.948360615642483751 | 0.948360615642483751 [1574] [1575] 0.857509482307911575 - 0.857509482307911464 [1575] [1576] 0.624918212324196420 | 0.624918212324196420 [1576] [1577] 0.475408890393237027 - 0.475408890393237304 [1577] ... ... ... and 238 more ... actual | expected [1816] 0.816868174030227712 | 0.816868174030227712 [1816] [1817] 0.991283324205492811 | 0.991283324205492811 [1817] [1818] 0.334615899893394964 | 0.334615899893394964 [1818] [1819] 0.458452249348748953 - 0.458452249348748786 [1819] [1820] 0.783079894129684817 - 0.783079894129683929 [1820] [1821] 0.137411553989145258 | 0.137411553989145258 [1821] [1822] 0.559760020376716350 - 0.559760020376716128 [1822] [1823] 0.389558207273216772 | 0.389558207273216772 [1823] [1824] 0.059273082064561916 - 0.059273082064561777 [1824] [1825] 0.464085184903137438 - 0.464085184903136994 [1825] ... ... ... and 8 more ... actual | expected [1834] 0.452222746801272835 | 0.452222746801272835 [1834] [1835] 0.961707412348401625 | 0.961707412348401625 [1835] [1836] 0.336735579551005082 | 0.336735579551005082 [1836] [1837] 0.343257561309897929 - 0.343257561309898096 [1837] [1838] 0.341690187404506851 - 0.341690187404506740 [1838] [1839] 0.240140570660154040 | 0.240140570660154040 [1839] [1840] 1.000000000000000000 | 1.000000000000000000 [1840] [1841] 0.067488166346827125 | 0.067488166346827125 [1841] [1842] 0.213756065350923868 | 0.213756065350923868 [1842] [1843] 0.367778526259510685 - 0.367778526259509742 [1843] ... ... ... and 72 more ... actual | expected [1916] 0.568689322330845126 | 0.568689322330845126 [1916] [1917] 0.620507043941103897 | 0.620507043941103897 [1917] [1918] 0.582038055044391212 | 0.582038055044391212 [1918] [1919] 0.323656792393885284 - 0.323656792393885562 [1919] [1920] 1.000000000000000000 | 1.000000000000000000 [1920] [1921] 0.366206622854467534 - 0.366206622854467034 [1921] [1922] 0.449472315856616955 | 0.449472315856616955 [1922] [1923] 0.676476438785189482 | 0.676476438785189482 [1923] [1924] 0.233464922212223563 | 0.233464922212223563 [1924] [1925] 0.636829238698521705 - 0.636829238698521038 [1925] ... ... ... and 50 more ... actual | expected [1976] 0.476112850310501878 | 0.476112850310501878 [1976] [1977] 0.601800674512311340 | 0.601800674512311340 [1977] [1978] 0.307080965876394107 | 0.307080965876394107 [1978] [1979] 0.334060363078050260 - 0.334060363078049538 [1979] [1980] 0.681391694760350441 | 0.681391694760350441 [1980] [1981] 0.098314395919401526 | 0.098314395919401526 [1981] [1982] 0.476607025216630897 - 0.476607025216630786 [1982] [1983] 0.663907953072059409 | 0.663907953072059409 [1983] [1984] 0.009379341885457776 - 0.009379341885456777 [1984] [1985] 0.269381254142022186 | 0.269381254142022186 [1985] ... ... ... and 157 more ... actual | expected [2144] 0.178928644962727673 | 0.178928644962727673 [2144] [2145] 0.897472428257753863 | 0.897472428257753863 [2145] [2146] 0.692906288337816756 | 0.692906288337816756 [2146] [2147] 0.388281365958264679 - 0.388281365958264402 [2147] [2148] 0.692402752757963480 | 0.692402752757963480 [2148] [2149] 0.173103147795529766 | 0.173103147795529766 [2149] [2150] 0.266988455876171593 - 0.266988455876171149 [2150] [2151] 0.356981833083827305 | 0.356981833083827305 [2151] [2152] 0.541426382120596683 - 0.541426382120596350 [2152] [2153] 0.560730821386499989 - 0.560730821386500877 [2153] ... ... ... and 40 more ... actual | expected [2194] 0.633869450116145705 | 0.633869450116145705 [2194] [2195] 0.737083147718083032 | 0.737083147718083032 [2195] [2196] 0.777983423136681118 | 0.777983423136681118 [2196] [2197] 0.537697722681590440 - 0.537697722681591106 [2197] [2198] 0.417722050127088962 - 0.417722050127089406 [2198] [2199] 0.321632681220020034 | 0.321632681220020034 [2199] [2200] 1.000000000000000000 | 1.000000000000000000 [2200] [2201] 0.401058047256718286 | 0.401058047256718286 [2201] [2202] 0.789500225860300886 | 0.789500225860300886 [2202] [2203] 0.380258018623363336 | 0.380258018623363336 [2203] ... ... ... and 121 more ... actual | expected [2326] 0.533348275980809694 | 0.533348275980809694 [2326] [2327] 0.338770617706423305 | 0.338770617706423305 [2327] [2328] 0.540405852245126828 | 0.540405852245126828 [2328] [2329] 0.341719977358312832 - 0.341719977358312721 [2329] [2330] 0.241949131345853385 - 0.241949131345853330 [2330] [2331] 0.148101680311021749 | 0.148101680311021749 [2331] [2332] 0.136108216133916632 | 0.136108216133916632 [2332] [2333] 0.329982678631520698 - 0.329982678631521198 [2333] [2334] 0.560514215728166176 - 0.560514215728166509 [2334] [2335] 1.000000000000000000 | 1.000000000000000000 [2335] ... ... ... and 44 more ... actual | expected [2380] 1.000000000000000000 | 1.000000000000000000 [2380] [2381] 0.163946010550356042 | 0.163946010550356042 [2381] [2382] 0.613994964515412911 | 0.613994964515412911 [2382] [2383] 0.681147163176273551 - 0.681147163176273329 [2383] [2384] 0.145275602882670551 - 0.145275602882670718 [2384] [2385] 0.260433931413215136 | 0.260433931413215136 [2385] [2386] 0.598092022046122218 | 0.598092022046122218 [2386] [2387] 0.392883936313126125 - 0.392883936313126181 [2387] [2388] 0.566080326651558496 | 0.566080326651558496 [2388] [2389] 0.513271815254494501 | 0.513271815254494501 [2389] ... ... ... and 4 more ... actual | expected [2394] 0.914014766099817133 | 0.914014766099817133 [2394] [2395] 0.679184116788981940 | 0.679184116788981940 [2395] [2396] 0.419557662167128198 | 0.419557662167128198 [2396] [2397] 0.479423319525270730 - 0.479423319525270952 [2397] [2398] 0.329592362430363384 | 0.329592362430363384 [2398] [2399] 0.358346071686057199 - 0.358346071686057033 [2399] [2400] 0.981445834588852595 | 0.981445834588852595 [2400] [2401] 0.366346082269864093 - 0.366346082269863593 [2401] [2402] 0.506966648350832716 | 0.506966648350832716 [2402] [2403] 0.764599627076430699 | 0.764599627076430699 [2403] ... ... ... and 37 more ... actual | expected [2441] 0.221363306129292003 | 0.221363306129292003 [2441] [2442] 1.000000000000000000 | 1.000000000000000000 [2442] [2443] 0.960006003434645150 | 0.960006003434645150 [2443] [2444] 0.006473437152456851 - 0.006473437152457406 [2444] [2445] 0.909175723635487820 | 0.909175723635487820 [2445] [2446] 0.781012602381954357 - 0.781012602381954468 [2446] [2447] 0.088049796452963514 | 0.088049796452963514 [2447] [2448] 0.508747305403843830 - 0.508747305403843941 [2448] [2449] 0.501174617417655566 - 0.501174617417656010 [2449] [2450] 0.482092708114182977 | 0.482092708114182977 [2450] ... ... ... and 13 more ... actual | expected [2464] 0.053027470837731114 | 0.053027470837731114 [2464] [2465] 0.534888100459382620 | 0.534888100459382620 [2465] [2466] 0.386370587295225165 | 0.386370587295225165 [2466] [2467] 0.281312256967840735 - 0.281312256967840790 [2467] [2468] 0.305832829616319024 - 0.305832829616319246 [2468] [2469] 0.294386669567686499 - 0.294386669567686221 [2469] [2470] 0.250222811473285400 - 0.250222811473285234 [2470] [2471] 0.364672660943097970 | 0.364672660943097970 [2471] [2472] 0.314982172459838228 - 0.314982172459838561 [2472] [2473] 0.310165359856163780 - 0.310165359856164446 [2473] ... ... ... and 101 more ... actual | expected [2575] 0.310264591174740756 | 0.310264591174740756 [2575] [2576] 0.097402665050916576 | 0.097402665050916576 [2576] [2577] 0.237455279776967482 | 0.237455279776967482 [2577] [2578] 0.109214552875782939 - 0.109214552875783161 [2578] [2579] 0.138153105252802111 | 0.138153105252802111 [2579] [2580] 0.633436697463555021 - 0.633436697463554355 [2580] [2581] 0.204244204873590379 - 0.204244204873590351 [2581] [2582] 0.356666259634487282 | 0.356666259634487282 [2582] [2583] 0.589038105005809665 | 0.589038105005809665 [2583] [2584] 0.000000000000000000 | 0.000000000000000000 [2584] ... ... ... and 81 more ... actual | expected [2666] 0.615080427672484387 | 0.615080427672484387 [2666] [2667] 0.428726489108101017 | 0.428726489108101017 [2667] [2668] 0.128271582108604149 | 0.128271582108604149 [2668] [2669] 0.656925673275286948 - 0.656925673275286615 [2669] [2670] 0.465992093157813314 - 0.465992093157813092 [2670] [2671] 0.634909875586485262 - 0.634909875586484818 [2671] [2672] 0.176335566298716218 - 0.176335566298716662 [2672] [2673] 0.106384708940762518 - 0.106384708940761574 [2673] [2674] 0.298484151581533907 | 0.298484151581533907 [2674] [2675] 0.746086032140207633 - 0.746086032140208744 [2675] ... ... ... and 19 more ... actual | expected [2695] 0.578301199639522201 | 0.578301199639522201 [2695] [2696] 0.014224929644910690 | 0.014224929644910690 [2696] [2697] 0.504616167503243673 | 0.504616167503243673 [2697] [2698] 0.297783839263038086 - 0.297783839263038030 [2698] [2699] 0.294469829362099977 - 0.294469829362100199 [2699] [2700] 0.776037744319158396 | 0.776037744319158396 [2700] [2701] 0.282826431331628769 - 0.282826431331628436 [2701] [2702] 0.646814684879529089 | 0.646814684879529089 [2702] [2703] 0.676277992496536640 | 0.676277992496536640 [2703] [2704] 0.000000000000000000 | 0.000000000000000000 [2704] ... ... ... and 164 more ... actual | expected [2869] 0.457778435465178768 | 0.457778435465178768 [2869] [2870] 0.823769248902555096 | 0.823769248902555096 [2870] [2871] 0.304588160178667577 | 0.304588160178667577 [2871] [2872] 0.529541955806279607 - 0.529541955806279385 [2872] [2873] 0.608543311042804569 | 0.608543311042804569 [2873] [2874] 0.569849112563948323 | 0.569849112563948323 [2874] [2875] 0.431158123512283553 | 0.431158123512283553 [2875] [2876] 0.518837868993606954 - 0.518837868993606621 [2876] [2877] 0.506273018712533718 | 0.506273018712533718 [2877] [2878] 0.439931062804546524 | 0.439931062804546524 [2878] ... ... ... and 69 more ... actual | expected [2948] 0.311772913749253422 | 0.311772913749253422 [2948] [2949] 0.489637557053151706 | 0.489637557053151706 [2949] [2950] 0.468918289184891146 | 0.468918289184891146 [2950] [2951] 0.532176946563935549 - 0.532176946563935327 [2951] [2952] 0.458521342532328402 - 0.458521342532328513 [2952] [2953] 0.439620190122804066 - 0.439620190122804122 [2953] [2954] 0.609548165986049328 - 0.609548165986049661 [2954] [2955] 0.598726225358801156 | 0.598726225358801156 [2955] [2956] 0.543384299970099960 | 0.543384299970099960 [2956] [2957] 0.606064683149621586 | 0.606064683149621586 [2957] ... ... ... and 18 more ... actual | expected [2977] 0.257090266309080384 | 0.257090266309080384 [2977] [2978] 0.594657204507722303 | 0.594657204507722303 [2978] [2979] 0.469861172242657721 | 0.469861172242657721 [2979] [2980] 0.773545825991830416 - 0.773545825991830194 [2980] [2981] 0.109287469252936462 | 0.109287469252936462 [2981] [2982] 0.507883962830349089 - 0.507883962830349645 [2982] [2983] 0.702683225161964686 | 0.702683225161964686 [2983] [2984] 0.325125654621363669 | 0.325125654621363669 [2984] [2985] 0.591207333095259746 - 0.591207333095260079 [2985] [2986] 0.455234209756263386 | 0.455234209756263386 [2986] ... ... ... and 112 more ... actual | expected [3103] 0.488712615578040632 | 0.488712615578040632 [3103] [3104] 0.000000000000000000 | 0.000000000000000000 [3104] [3105] 0.917689917308995851 | 0.917689917308995851 [3105] [3106] 0.486335696421854868 - 0.486335696421854702 [3106] [3107] 0.358560437481468208 - 0.358560437481468819 [3107] [3108] 0.464550796962508228 - 0.464550796962508783 [3108] [3109] 0.213246085501693827 - 0.213246085501694882 [3109] [3110] 0.232145956540219189 - 0.232145956540220105 [3110] [3111] 0.403276607393350195 | 0.403276607393350195 [3111] [3112] 0.523585010707016685 - 0.523585010707016574 [3112] ... ... ... and 313 more ... actual | expected [3428] 0.458748609526096029 | 0.458748609526096029 [3428] [3429] 0.507783098740964167 | 0.507783098740964167 [3429] [3430] 0.341145624468408071 | 0.341145624468408071 [3430] [3431] 0.494002952968521258 - 0.494002952968521314 [3431] [3432] 0.412680331072392492 | 0.412680331072392492 [3432] [3433] 0.344552499079499253 - 0.344552499079499364 [3433] [3434] 0.628389501381065974 - 0.628389501381066418 [3434] [3435] 0.803577174698798968 - 0.803577174698799634 [3435] [3436] 0.211106953362130506 | 0.211106953362130506 [3436] [3437] 0.507061766698304828 - 0.507061766698304939 [3437] ... ... ... and 9 more ... actual | expected [3447] 0.373588356947649192 | 0.373588356947649192 [3447] [3448] 0.279135444274812294 | 0.279135444274812294 [3448] [3449] 0.561923357361304276 | 0.561923357361304276 [3449] [3450] 0.348052109068913151 - 0.348052109068912707 [3450] [3451] 0.419116059485791226 - 0.419116059485791392 [3451] [3452] 0.582018465848305633 | 0.582018465848305633 [3452] [3453] 0.381689233817877782 - 0.381689233817877505 [3453] [3454] 0.558907538035951390 - 0.558907538035952056 [3454] [3455] 0.660025604943631938 - 0.660025604943633160 [3455] [3456] 0.466318534255875994 - 0.466318534255876049 [3456] ... ... ... and 24 more ... actual | expected [3482] 0.551570662145798307 | 0.551570662145798307 [3482] [3483] 0.685815068924864879 | 0.685815068924864879 [3483] [3484] 0.068905979549671745 | 0.068905979549671745 [3484] [3485] 0.517774602734849987 - 0.517774602734849876 [3485] [3486] 0.532589470584257874 | 0.532589470584257874 [3486] [3487] 0.321296482314286647 - 0.321296482314286314 [3487] [3488] 0.343202033740047263 - 0.343202033740046986 [3488] [3489] 0.382333010752574920 - 0.382333010752574531 [3489] [3490] 0.291573596762934317 - 0.291573596762933762 [3490] [3491] 0.506428725587237505 | 0.506428725587237505 [3491] ... ... ... and 57 more ... actual | expected [3550] 0.382346258002358386 | 0.382346258002358386 [3550] [3551] 0.116189700084874559 | 0.116189700084874559 [3551] [3552] 0.399274884257841745 | 0.399274884257841745 [3552] [3553] 0.580256970403641770 - 0.580256970403642214 [3553] [3554] 0.757926206541636449 | 0.757926206541636449 [3554] [3555] 0.678929877861398356 - 0.678929877861397912 [3555] [3556] 0.540204921030473351 - 0.540204921030473129 [3556] [3557] 0.463658812378242913 - 0.463658812378243357 [3557] [3558] 0.357228503659197782 | 0.357228503659197782 [3558] [3559] 0.464569802959403588 | 0.464569802959403588 [3559] ... ... ... and 1 more ... actual | expected [3562] 0.515463803915223950 | 0.515463803915223950 [3562] [3563] 0.690843760320357769 | 0.690843760320357769 [3563] [3564] -0.035829693865342460 | -0.035829693865342460 [3564] [3565] 0.431645120113238745 - 0.431645120113238245 [3565] [3566] 0.394412341036687708 | 0.394412341036687708 [3566] [3567] 0.397218855778513513 | 0.397218855778513513 [3567] [3568] 0.257311128615548113 - 0.257311128615547835 [3568] [3569] 0.271271315483090969 | 0.271271315483090969 [3569] [3570] 0.299513067891762741 | 0.299513067891762741 [3570] [3571] 0.239289794316519144 | 0.239289794316519144 [3571] actual | expected [3573] 0.209457042724269044 | 0.209457042724269044 [3573] [3574] 0.457286116238867335 | 0.457286116238867335 [3574] [3575] 0.590102928029504481 | 0.590102928029504481 [3575] [3576] 0.354425403879720269 - 0.354425403879720158 [3576] [3577] 0.335782578942019294 - 0.335782578942019461 [3577] [3578] 0.172877636883166375 - 0.172877636883166264 [3578] [3579] 0.213775885006437266 - 0.213775885006436989 [3579] [3580] 0.908273431704156864 - 0.908273431704156975 [3580] [3581] 0.059905200025421664 | 0.059905200025421664 [3581] [3582] 0.255411586720607930 | 0.255411586720607930 [3582] ... ... ... and 1 more ... actual | expected [3584] 0.000000000000000000 | 0.000000000000000000 [3584] [3585] 0.290612110449826044 | 0.290612110449826044 [3585] [3586] 0.651765594418581951 | 0.651765594418581951 [3586] [3587] 0.250406596095735068 - 0.250406596095735123 [3587] [3588] 0.249918384513128478 - 0.249918384513128311 [3588] [3589] 0.341765698910387050 - 0.341765698910387161 [3589] [3590] 0.247407695059558175 - 0.247407695059558286 [3590] [3591] 0.381948798624949126 | 0.381948798624949126 [3591] [3592] 0.448448930677789015 | 0.448448930677789015 [3592] [3593] 0.218104574262377005 - 0.218104574262376977 [3593] ... ... ... and 85 more ... actual | expected [3685] 0.625832349716566871 | 0.625832349716566871 [3685] [3686] 0.502930009465009431 | 0.502930009465009431 [3686] [3687] 0.463840404122694061 | 0.463840404122694061 [3687] [3688] 0.355231453658629126 - 0.355231453658629071 [3688] [3689] 0.430501918923582139 - 0.430501918923582361 [3689] [3690] 0.394987249438691013 | 0.394987249438691013 [3690] [3691] 0.399795030206985591 - 0.399795030206985813 [3691] [3692] 0.508294105184769140 | 0.508294105184769140 [3692] [3693] 0.428383467787638583 | 0.428383467787638583 [3693] [3694] 0.557512413924069916 - 0.557512413924069694 [3694] ... ... ... and 101 more ... actual | expected [3797] 0.388601433751064318 | 0.388601433751064318 [3797] [3798] 0.409062678166074445 | 0.409062678166074445 [3798] [3799] 0.858905434917784705 | 0.858905434917784705 [3799] [3800] 0.622419384974124523 - 0.622419384974125078 [3800] [3801] 0.181290766768813505 - 0.181290766768813782 [3801] [3802] 0.423426124358420752 | 0.423426124358420752 [3802] [3803] 0.569062283784040890 - 0.569062283784041223 [3803] [3804] -0.079659970824488946 - -0.079659970824488835 [3804] [3805] 0.441299930003709817 | 0.441299930003709817 [3805] [3806] 0.603810402852491657 | 0.603810402852491657 [3806] ... ... ... and 9 more ... actual | expected [3817] 0.304632709983389038 | 0.304632709983389038 [3817] [3818] 0.279301286663270643 | 0.279301286663270643 [3818] [3819] 0.093967152848554752 | 0.093967152848554752 [3819] [3820] 0.869344235774680563 - 0.869344235774680674 [3820] [3821] 0.129783738993761166 | 0.129783738993761166 [3821] [3822] 0.874334583297091794 | 0.874334583297091794 [3822] [3823] 0.935935235548124189 - 0.935935235548124411 [3823] [3824] -0.304026093413404253 - -0.304026093413403808 [3824] [3825] 0.714481361936737391 | 0.714481361936737391 [3825] [3826] 0.895316688888452061 | 0.895316688888452061 [3826] ... ... ... and 28 more ... actual | expected [3855] 0.618156287251683811 | 0.618156287251683811 [3855] [3856] 0.469819691269513617 | 0.469819691269513617 [3856] [3857] 0.374061018341351248 | 0.374061018341351248 [3857] [3858] 0.310932418223135776 - 0.310932418223135720 [3858] [3859] 0.091791482763529345 | 0.091791482763529345 [3859] [3860] 1.000000000000000000 | 1.000000000000000000 [3860] [3861] 0.210110714925491548 - 0.210110714925491771 [3861] [3862] 0.547812864187047222 - 0.547812864187047555 [3862] [3863] 0.651506656004285034 | 0.651506656004285034 [3863] [3864] 0.070701544380398385 - 0.070701544380398496 [3864] ... ... ... and 118 more ... actual | expected [3983] 0.767595195884366643 | 0.767595195884366643 [3983] [3984] 0.436558248138482985 | 0.436558248138482985 [3984] [3985] 0.692063169420836566 | 0.692063169420836566 [3985] [3986] 0.750452793316591427 - 0.750452793316590760 [3986] [3987] 0.378070421891807340 - 0.378070421891806951 [3987] [3988] 0.057346857457724415 | 0.057346857457724415 [3988] [3989] 0.580497730538257262 | 0.580497730538257262 [3989] [3990] 0.269495051762568882 | 0.269495051762568882 [3990] [3991] 0.452340778005750122 - 0.452340778005749899 [3991] [3992] 0.549372744480640551 - 0.549372744480640107 [3992] ... ... ... and 29 more ... actual | expected [4022] 0.857324636048000799 | 0.857324636048000799 [4022] [4023] 0.710554764878761569 | 0.710554764878761569 [4023] [4024] 0.000000000000000000 | 0.000000000000000000 [4024] [4025] 0.705590865287594293 - 0.705590865287594515 [4025] [4026] 0.691794025517676325 | 0.691794025517676325 [4026] [4027] 0.505060091893638541 | 0.505060091893638541 [4027] [4028] 0.590199185115374170 - 0.590199185115374059 [4028] [4029] 0.550424114887022142 | 0.550424114887022142 [4029] [4030] 0.466480714412641384 | 0.466480714412641384 [4030] [4031] 0.704903968739551301 | 0.704903968739551301 [4031] ... ... ... and 122 more ... actual | expected [4154] 0.327045000531251073 | 0.327045000531251073 [4154] [4155] 0.614599989540346781 | 0.614599989540346781 [4155] [4156] 0.522796253764411190 | 0.522796253764411190 [4156] [4157] 0.575872147770680298 - 0.575872147770680409 [4157] [4158] 0.410954553633854858 | 0.410954553633854858 [4158] [4159] 0.386943121064184825 - 0.386943121064184270 [4159] [4160] 1.000000000000000000 | 1.000000000000000000 [4160] [4161] 0.397587208449635521 | 0.397587208449635521 [4161] [4162] 0.804064690738599541 | 0.804064690738599541 [4162] [4163] 0.739300907851402123 - 0.739300907851400790 [4163] ... ... ... and 18 more ... actual | expected [4183] 0.672767288843333033 | 0.672767288843333033 [4183] [4184] 0.000000000000000000 | 0.000000000000000000 [4184] [4185] 0.577090353284265500 | 0.577090353284265500 [4185] [4186] 0.577911846326911727 - 0.577911846326912060 [4186] [4187] 0.347526650421184025 | 0.347526650421184025 [4187] [4188] 0.495044036160490142 | 0.495044036160490142 [4188] [4189] 0.395676369455084109 - 0.395676369455083943 [4189] [4190] 0.316916155352072959 - 0.316916155352072737 [4190] [4191] 0.395823641612873811 - 0.395823641612873645 [4191] [4192] 0.333397418866866579 | 0.333397418866866579 [4192] ... ... ... and 44 more ... actual | expected [4238] 0.623119637158045636 | 0.623119637158045636 [4238] [4239] 0.327054737700411824 | 0.327054737700411824 [4239] [4240] 0.705510915585901288 | 0.705510915585901288 [4240] [4241] 0.411911193370822992 - 0.411911193370823103 [4241] [4242] 0.633501551196463342 - 0.633501551196462787 [4242] [4243] 0.731524583867385170 - 0.731524583867384504 [4243] [4244] 0.095767512824657661 | 0.095767512824657661 [4244] [4245] 0.306465486973803158 | 0.306465486973803158 [4245] [4246] 0.478957851134607870 | 0.478957851134607870 [4246] [4247] 0.330258109459260929 - 0.330258109459261096 [4247] ... ... ... and 30 more ... actual | expected [4283] 0.631257914028547251 | 0.631257914028547251 [4283] [4284] 0.370242964290436349 | 0.370242964290436349 [4284] [4285] 0.611484641266401674 | 0.611484641266401674 [4285] [4286] 0.462271632856317116 - 0.462271632856317560 [4286] [4287] 0.440785224588582103 - 0.440785224588582214 [4287] [4288] 0.539758233095415818 | 0.539758233095415818 [4288] [4289] 0.411866151994978613 - 0.411866151994978558 [4289] [4290] 0.356227686691096890 - 0.356227686691096945 [4290] [4291] 0.550441642173608026 | 0.550441642173608026 [4291] [4292] 0.353910461448358582 - 0.353910461448358749 [4292] ... ... ... and 109 more ... actual | expected [4402] 0.492977895266833777 | 0.492977895266833777 [4402] [4403] 0.776625849821120484 | 0.776625849821120484 [4403] [4404] 0.000000000000000000 | 0.000000000000000000 [4404] [4405] 0.631530444328941787 - 0.631530444328941676 [4405] [4406] 0.686614885574232336 - 0.686614885574232225 [4406] [4407] 0.908635008750673046 | 0.908635008750673046 [4407] [4408] 0.460034286637379053 | 0.460034286637379053 [4408] [4409] 0.400174483438882067 | 0.400174483438882067 [4409] [4410] 0.368862913710701734 | 0.368862913710701734 [4410] [4411] 0.454123102747112706 | 0.454123102747112706 [4411] ... ... ... and 58 more ... actual | expected [4472] 0.536058232891913122 | 0.536058232891913122 [4472] [4473] 0.518401251501793059 | 0.518401251501793059 [4473] [4474] 0.645726544864721475 | 0.645726544864721475 [4474] [4475] 0.868817216912208146 - 0.868817216912208035 [4475] [4476] 0.651093336332328465 | 0.651093336332328465 [4476] [4477] 0.488598361760940791 - 0.488598361760940680 [4477] [4478] 0.474082205427123149 | 0.474082205427123149 [4478] [4479] 0.714361481048841229 | 0.714361481048841229 [4479] [4480] 1.000000000000000000 | 1.000000000000000000 [4480] [4481] 0.471260232872904639 - 0.471260232872904583 [4481] ... ... ... and 163 more ... actual | expected [4645] 0.782006265345047913 | 0.782006265345047913 [4645] [4646] 0.439876690383893376 | 0.439876690383893376 [4646] [4647] 0.377989532277952567 | 0.377989532277952567 [4647] [4648] 0.427130267417888954 - 0.427130267417888732 [4648] [4649] 0.917894303344607421 | 0.917894303344607421 [4649] [4650] 0.530552597490025257 | 0.530552597490025257 [4650] [4651] 0.497392727204572449 - 0.497392727204572282 [4651] [4652] 0.759342263213889312 | 0.759342263213889312 [4652] [4653] 0.461582394221710324 | 0.461582394221710324 [4653] [4654] 0.652899700913569525 | 0.652899700913569525 [4654] ... ... ... and 26 more ... actual | expected [4682] 0.628579566009818458 | 0.628579566009818458 [4682] [4683] 1.000000000000000000 | 1.000000000000000000 [4683] [4684] 0.068427046522182192 | 0.068427046522182192 [4684] [4685] 0.707092860116833255 - 0.707092860116833588 [4685] [4686] 0.751207170060658513 - 0.751207170060659291 [4686] [4687] 0.580909091793096022 | 0.580909091793096022 [4687] [4688] 0.629941523383680591 | 0.629941523383680591 [4688] [4689] 0.569775653897331757 - 0.569775653897331646 [4689] [4690] 0.682462772174555643 | 0.682462772174555643 [4690] [4691] 0.574745399109031552 | 0.574745399109031552 [4691] ... ... ... and 123 more ... actual | expected [4815] 0.627302296962159667 | 0.627302296962159667 [4815] [4816] 0.365963662370226039 | 0.365963662370226039 [4816] [4817] 0.499063033781481591 | 0.499063033781481591 [4817] [4818] 0.193049574369925453 - 0.193049574369925481 [4818] [4819] 0.128058591954977818 - 0.128058591954977902 [4819] [4820] 1.000000000000000000 | 1.000000000000000000 [4820] [4821] 0.562959154993468602 | 0.562959154993468602 [4821] [4822] 0.599169744648161307 | 0.599169744648161307 [4822] [4823] 0.768678982245982301 - 0.768678982245982523 [4823] [4824] 0.000000000000000000 | 0.000000000000000000 [4824] ... ... ... and 31 more ... actual | expected [4856] 0.434510159495815340 | 0.434510159495815340 [4856] [4857] 0.540617494393314413 | 0.540617494393314413 [4857] [4858] 0.297910319933899215 | 0.297910319933899215 [4858] [4859] 0.408752184289645937 - 0.408752184289645548 [4859] [4860] 0.962263918974892940 - 0.962263918974893606 [4860] [4861] 0.278217602298511169 | 0.278217602298511169 [4861] [4862] 0.306649643771767177 | 0.306649643771767177 [4862] [4863] 0.553750185338455436 - 0.553750185338455991 [4863] [4864] -0.042839037525708723 - -0.042839037525708834 [4864] [4865] 0.596620566781301709 | 0.596620566781301709 [4865] ... ... ... and 37 more ... actual | expected [4906] 0.720182381598109100 | 0.720182381598109100 [4906] [4907] 0.596012396827413138 | 0.596012396827413138 [4907] [4908] 0.638025199769378326 | 0.638025199769378326 [4908] [4909] 0.610341706628639180 - 0.610341706628639069 [4909] [4910] 0.561904665790660007 | 0.561904665790660007 [4910] [4911] 0.610669172817411621 - 0.610669172817411510 [4911] [4912] 0.550174802486225856 | 0.550174802486225856 [4912] [4913] 0.615620562190451581 | 0.615620562190451581 [4913] [4914] 0.795979157997046771 | 0.795979157997046771 [4914] [4915] 0.775629021537690422 - 0.775629021537690533 [4915] ... ... ... and 75 more ... actual | expected [4991] 0.669927773991599196 | 0.669927773991599196 [4991] [4992] 0.537799947407906376 | 0.537799947407906376 [4992] [4993] 0.685681106822430109 | 0.685681106822430109 [4993] [4994] 0.824188531170954031 - 0.824188531170954253 [4994] [4995] 1.105279604784808134 - 1.105279604784808800 [4995] [4996] 0.795106810946224041 - 0.795106810946224374 [4996] [4997] 0.481368118932730793 | 0.481368118932730793 [4997] [4998] 0.484354367274678510 - 0.484354367274679010 [4998] [4999] 0.491484078619343900 - 0.491484078619343845 [4999] [5000] 1.156157116073104785 - 1.156157116073105229 [5000] ... ... ... and 21 more ... actual | expected [5022] 0.939503853430458835 | 0.939503853430458835 [5022] [5023] 0.992934535648046679 | 0.992934535648046679 [5023] [5024] 0.197364819764628385 | 0.197364819764628385 [5024] [5025] 0.933289465043297684 - 0.933289465043297461 [5025] [5026] 1.004347885106502636 - 1.004347885106501970 [5026] [5027] 0.616827709721690431 | 0.616827709721690431 [5027] [5028] 0.634288830883461996 | 0.634288830883461996 [5028] [5029] 0.713944817536299126 | 0.713944817536299126 [5029] [5030] 0.660256743059244755 - 0.660256743059244866 [5030] [5031] 0.945020439530522616 | 0.945020439530522616 [5031] ... ... ... and 208 more ... actual | expected [5243] 1.000000000000000000 | 1.000000000000000000 [5243] [5244] 0.247201868921099216 | 0.247201868921099216 [5244] [5245] 0.282853394674725533 | 0.282853394674725533 [5245] [5246] 0.525213363864570071 - 0.525213363864571181 [5246] [5247] 0.453620627134805166 - 0.453620627134805332 [5247] [5248] 0.411185422394747535 | 0.411185422394747535 [5248] [5249] 0.393424572079892398 - 0.393424572079892343 [5249] [5250] 0.163370766001971007 | 0.163370766001971007 [5250] [5251] 0.439126055885371014 | 0.439126055885371014 [5251] [5252] 0.367290230612318913 | 0.367290230612318913 [5252] ... ... ... and 245 more ... actual | expected [5500] 0.808863359580450969 | 0.808863359580450969 [5500] [5501] 0.490950933707121839 | 0.490950933707121839 [5501] [5502] 0.762995427795492454 | 0.762995427795492454 [5502] [5503] 0.693421136973403351 - 0.693421136973403796 [5503] [5504] 0.424838087542647624 - 0.424838087542646958 [5504] [5505] 0.768238915841124581 - 0.768238915841124803 [5505] [5506] 0.797934866435683343 | 0.797934866435683343 [5506] [5507] 0.339327429800779790 | 0.339327429800779790 [5507] [5508] 0.581713544864182808 - 0.581713544864182697 [5508] [5509] 0.662966642586829802 - 0.662966642586829691 [5509] ... ... ... and 91 more ... [ FAIL 1 | WARN 0 | SKIP 3 | PASS 419 ] Error: ! Test failures. Execution halted * checking for unstated dependencies in vignettes ... OK * checking package vignettes ... OK * checking re-building of vignette outputs ... [22s/33s] OK * checking PDF version of manual ... [8s/13s] OK * checking HTML version of manual ... OK * checking for non-standard things in the check directory ... OK * checking for detritus in the temp directory ... OK * DONE Status: 1 ERROR See ‘/data/gannet/ripley/R/packages/tests-MKL/slideimp.Rcheck/00check.log’ for details. Command exited with non-zero status 1 Time 4:45.38, 246.81 + 22.98