* using log directory ‘/data/localhost/ripley/R/packages/tests-MKL/EpiQuestionR.Rcheck’ * using R Under development (unstable) (2026-10-28 r90786) * using platform: x86_64-pc-linux-gnu * R was compiled by gcc (GCC) 16.2.1 20260819 (Red Hat 16.2.1-2) GNU Fortran (GCC) 16.2.1 20260819 (Red Hat 16.2.1-2) * running under: Fedora Linux 44 (Server Edition) * using session charset: UTF-8 * current time: 2026-10-29 12:09:57 UTC * using option ‘--no-stop-on-test-error’ * checking for file ‘EpiQuestionR/DESCRIPTION’ ... OK * checking extension type ... Package * this is package ‘EpiQuestionR’ version ‘0.1.1’ * 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 ‘EpiQuestionR’ can be installed ... [10s/34s] OK * 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 ... [20s/71s] 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 contents of ‘data’ directory ... OK * checking data for non-ASCII characters ... OK * checking LazyData ... OK * checking data for ASCII and uncompressed saves ... 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’ [103s/322s] [104s/323s] 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(EpiQuestionR) > > test_check("EpiQuestionR") ===================================================== Exploratory Factor Analysis (EFA) ===================================================== Sample Size : 200 Variables : 5 Number of Factors : 1 Extraction Method : minres Rotation Method : oblimin ----------------------------------------------------- Sampling Adequacy ----------------------------------------------------- Overall KMO : 0.882 Bartlett Chi-square : 553.36 Degrees of Freedom : 10 P-value : < 2.22e-16 ----------------------------------------------------- Model Fit ----------------------------------------------------- RMSR : 0.02 RMSEA : 0.038 TLI : 0.995 BIC : -20.053 ===================================================== Variance Explained ===================================================== MR1 SS loadings 3.168 Proportion Var 0.634 ===================================================== Communalities ===================================================== Item Communality Uniqueness Q1 0.708 0.292 Q2 0.701 0.299 Q3 0.623 0.377 Q4 0.582 0.418 Q5 0.553 0.447 ===================================================== Factor Loadings ===================================================== Factor Analysis using method = minres Call: psych::fa(r = X, nfactors = nfactors, rotate = rotation, scores = scores, fm = extraction) Standardized loadings (pattern matrix) based upon correlation matrix V MR1 h2 u2 com Q1 1 0.84 0.71 0.29 1 Q2 2 0.84 0.70 0.30 1 Q3 3 0.79 0.62 0.38 1 Q4 4 0.76 0.58 0.42 1 Q5 5 0.74 0.55 0.45 1 MR1 SS loadings 3.17 Proportion Var 0.63 Mean item complexity = 1 Test of the hypothesis that 1 factor is sufficient. df null model = 10 with the objective function = 2.82 with Chi Square = 553.36 df of the model are 5 and the objective function was 0.03 The root mean square of the residuals (RMSR) is 0.02 The df corrected root mean square of the residuals is 0.03 The harmonic n.obs is 200 with the empirical chi square 0.84 with prob < 0.97 The total n.obs was 200 with Likelihood Chi Square = 6.44 with prob < 0.27 Tucker Lewis Index of factoring reliability = 0.995 RMSEA index = 0.038 and the 90 % confidence intervals are 0 0.111 BIC = -20.05 Fit based upon off diagonal values = 1 Measures of factor score adequacy MR1 Correlation of (regression) scores with factors 0.95 Multiple R square of scores with factors 0.90 Minimum correlation of possible factor scores 0.80 $Vaccounted MR1 SS loadings 3.1684019 Proportion Var 0.6336804 `geom_line()`: Each group consists of only one observation. i Do you need to adjust the group aesthetic? Velicer's Minimum Average Partial (MAP) Test ---------------------------------------------- Criterion: Original MAP (squared partial correlations) Input: Raw data Correlation: pearson Variables: 10 Observations: 100 Components evaluated: 0-9 Recommended components: 0 Minimum MAP value: 0.008799 Interpretation: The MAP criterion does not support retaining any components. Velicer's Minimum Average Partial (MAP) Test ---------------------------------------------- Criterion: Original MAP (squared partial correlations) Input: Raw data Correlation: pearson Variables: 10 Observations: 100 Components evaluated: 0-9 Recommended components: 0 Minimum MAP value: 0.009 Interpretation: The MAP criterion does not support retaining any components. Velicer's Minimum Average Partial (MAP) Test ---------------------------------------------- Criterion: Original MAP (squared partial correlations) Input: Raw data Correlation: pearson Variables: 10 Observations: 100 Components evaluated: 0-9 Recommended components: 0 Minimum MAP value: 0.008798610145 Interpretation: The MAP criterion does not support retaining any components. Summary of Velicer's MAP Test -------------------------------------- Call: map_test(data = dat) Analysis: Criterion: Original MAP (squared partial correlations) Input: Raw data Correlation: pearson Missing data: pairwise.complete.obs Variables: 10 Observations: 100 Maximum tested: 9 Recommendation: Components: 0 Minimum MAP: 0.008799 MAP Criterion by Number of Partialled Components: components map minimum 0 0.008799 TRUE 1 0.021620 FALSE 2 0.037120 FALSE 3 0.055770 FALSE 4 0.082330 FALSE 5 0.117200 FALSE 6 0.178000 FALSE 7 0.281200 FALSE 8 0.451300 FALSE 9 1.000000 FALSE Eigenvalue Summary: component eigenvalue proportion_variance cumulative_variance 1 1.4770 0.14770 0.1477 2 1.2900 0.12900 0.2767 3 1.2390 0.12390 0.4006 4 1.1430 0.11430 0.5149 5 1.0470 0.10470 0.6196 6 0.9235 0.09235 0.7120 7 0.8881 0.08881 0.8008 8 0.8257 0.08257 0.8834 9 0.6301 0.06301 0.9464 10 0.5364 0.05364 1.0000 Interpretation: The minimum MAP criterion occurred before any components were partialled. The analysis therefore does not support retaining a component. Velicer's Minimum Average Partial (MAP) Test ---------------------------------------------- Running Horn's parallel analysis: PCA, 8 variables, 200 observations, 50 simulations. Running Horn's parallel analysis: PCA, 8 variables, 200 observations, 50 simulations. Running Horn's parallel analysis: PCA, 8 variables, 200 observations, 50 simulations. Running Horn's parallel analysis: PCA, 8 variables, 200 observations, 50 simulations. Running Horn's parallel analysis: PCA, 8 variables, 200 observations, 50 simulations. Running Horn's parallel analysis: PCA, 8 variables, 200 observations, 50 simulations. Running Horn's parallel analysis: PCA, 8 variables, 200 observations, 50 simulations. Running Horn's parallel analysis: PCA, 8 variables, 200 observations, 50 simulations. Running Horn's parallel analysis: PCA, 8 variables, 200 observations, 50 simulations. Running Horn's parallel analysis: PCA, 8 variables, 200 observations, 50 simulations. Running Horn's parallel analysis: PCA, 8 variables, 200 observations, 50 simulations. Running Horn's parallel analysis: PCA, 8 variables, 200 observations, 50 simulations. Running Horn's parallel analysis: PCA, 8 variables, 200 observations, 50 simulations. Running Horn's parallel analysis: PCA, 8 variables, 200 observations, 50 simulations. Running Horn's parallel analysis: PCA, 8 variables, 200 observations, 50 simulations. Running Horn's parallel analysis: PCA, 8 variables, 200 observations, 50 simulations. Running Horn's parallel analysis: PCA, 8 variables, 200 observations, 50 simulations. Running Horn's parallel analysis: PCA, 8 variables, 200 observations, 50 simulations. Running Horn's parallel analysis: PCA, 8 variables, 200 observations, 50 simulations. Running Horn's parallel analysis: PCA, 8 variables, 200 observations, 50 simulations. Running Horn's parallel analysis: PCA, 8 variables, 200 observations, 50 simulations. Running Horn's parallel analysis: PCA, 8 variables, 200 observations, 75 simulations. Running Horn's parallel analysis: PCA, 8 variables, 200 observations, 50 simulations. Running Horn's parallel analysis: PCA, 8 variables, 200 observations, 50 simulations. Running Horn's parallel analysis: PCA, 8 variables, 200 observations, 50 simulations. Running Horn's parallel analysis: PCA, 8 variables, 200 observations, 50 simulations. Running Horn's parallel analysis: PCA, 8 variables, 200 observations, 50 simulations. Running Horn's parallel analysis: PCA, 8 variables, 200 observations, 50 simulations. Running Horn's parallel analysis: PCA, 8 variables, 200 observations, 50 simulations. Running Horn's parallel analysis: PCA, 8 variables, 200 observations, 50 simulations. Running Horn's parallel analysis: PCA, 8 variables, 200 observations, 50 simulations. Running Horn's parallel analysis: PCA, 8 variables, 200 observations, 50 simulations. Running Horn's parallel analysis: PCA, 8 variables, 200 observations, 50 simulations. Running Horn's parallel analysis: PCA, 8 variables, 200 observations, 50 simulations. Running Horn's parallel analysis: PCA, 8 variables, 200 observations, 50 simulations. Running Horn's parallel analysis: PCA, 8 variables, 200 observations, 50 simulations. Running Horn's parallel analysis: PCA, 8 variables, 200 observations, 50 simulations. Running Horn's parallel analysis: PCA, 8 variables, 200 observations, 50 simulations. Running Horn's parallel analysis: PCA, 8 variables, 200 observations, 25 simulations. Running Horn's parallel analysis: PCA, 5 variables, 100 observations, 100 simulations. Running Horn's parallel analysis: PCA, 15 variables, 500 observations, 200 simulations. Running Horn's parallel analysis: PCA, 12 variables, 1000 observations, 200 simulations. Running Horn's parallel analysis: PCA, 8 variables, 200 observations, 50 simulations. Running Horn's parallel analysis: PCA, 8 variables, 200 observations, 50 simulations. Running Horn's parallel analysis: PCA, 8 variables, 200 observations, 50 simulations. Running Horn's parallel analysis: PCA, 6 variables, 50 observations, 25 simulations. Running Horn's parallel analysis: PCA, 6 variables, 100 observations, 25 simulations. Running Horn's parallel analysis: PCA, 6 variables, 250 observations, 25 simulations. Running Horn's parallel analysis: PCA, 4 variables, 150 observations, 25 simulations. Running Horn's parallel analysis: PCA, 6 variables, 150 observations, 25 simulations. Running Horn's parallel analysis: PCA, 10 variables, 150 observations, 25 simulations. Running Horn's parallel analysis: PCA, 8 variables, 200 observations, 25 simulations. Running Horn's parallel analysis: PCA, 8 variables, 200 observations, 25 simulations. Running Horn's parallel analysis: PCA, 8 variables, 200 observations, 25 simulations. Running Horn's parallel analysis: PCA, 8 variables, 200 observations, 25 simulations. Running Horn's parallel analysis: PCA, 8 variables, 200 observations, 25 simulations. Running Horn's parallel analysis: PCA, 8 variables, 200 observations, 25 simulations. Running Horn's parallel analysis: PCA, 8 variables, 200 observations, 50 simulations. Running Horn's parallel analysis: PCA, 8 variables, 200 observations, 50 simulations. Parallel Analysis Sensitivity Analysis -------------------------------------- analysis percentile n_iter n_retained successful_iterations status message pca 0.95 10 2 10 ok Converted non-numeric input to numeric Running Horn's parallel analysis: PCA, 5 variables, 100 observations, 10 simulations. Not all of the variables are numeric. Please check your data. Potential bad items are [1] 1 2 3 4 factor method not specified correctly, minimum residual (unweighted least squares used In smc, smcs < 0 were set to .0 In smc, smcs < 0 were set to .0 In smc, smcs < 0 were set to .0 In factor.scores, the correlation matrix is singular, the pseudo inverse is used Error in solve.default(r) : Lapack routine dgesv: system is exactly singular: U[2,2] = 0 matrix is not invertible, image not found Converted non-numeric input to numeric factor method not specified correctly, minimum residual (unweighted least squares used factor method not specified correctly, minimum residual (unweighted least squares used factor method not specified correctly, minimum residual (unweighted least squares used factor method not specified correctly, minimum residual (unweighted least squares used factor method not specified correctly, minimum residual (unweighted least squares used factor method not specified correctly, minimum residual (unweighted least squares used factor method not specified correctly, minimum residual (unweighted least squares used factor method not specified correctly, minimum residual (unweighted least squares used factor method not specified correctly, minimum residual (unweighted least squares used factor method not specified correctly, minimum residual (unweighted least squares used factor method not specified correctly, minimum residual (unweighted least squares used Running Horn's parallel analysis: PCA, 8 variables, 200 observations, 50 simulations. Running Horn's parallel analysis: PCA, 8 variables, 200 observations, 25 simulations. Running Horn's parallel analysis: PCA, 8 variables, 200 observations, 25 simulations. Running Horn's parallel analysis: PCA, 8 variables, 200 observations, 25 simulations. Running Horn's parallel analysis: PCA, 8 variables, 200 observations, 25 simulations. Running Horn's parallel analysis: PCA, 3 variables, 5 observations, 25 simulations. Running Horn's parallel analysis: PCA, 10 variables, 5 observations, 25 simulations. Running Horn's parallel analysis: PCA, 2 variables, 100 observations, 25 simulations. Running Horn's parallel analysis: PCA, 3 variables, 200 observations, 25 simulations. Running Horn's parallel analysis: PCA, 3 variables, 100 observations, 25 simulations. Running Horn's parallel analysis: PCA, 3 variables, 100 observations, 25 simulations. Running Horn's parallel analysis: PCA, 3 variables, 100 observations, 25 simulations. Running Horn's parallel analysis: PCA, 3 variables, 200 observations, 25 simulations. Running Horn's parallel analysis: PCA, 3 variables, 100 observations, 25 simulations. Running Horn's parallel analysis: PCA, 3 variables, 100 observations, 25 simulations. Running Horn's parallel analysis: PCA, 5 variables, 100 observations, 25 simulations. Running Horn's parallel analysis: PCA, 3 variables, 100 observations, 25 simulations. Running Horn's parallel analysis: PCA, 3 variables, 100 observations, 25 simulations. Running Horn's parallel analysis: PCA, 5 variables, 100 observations, 25 simulations. Running Horn's parallel analysis: PCA, 4 variables, 300 observations, 25 simulations. Running Horn's parallel analysis: PCA, 5 variables, 300 observations, 25 simulations. Running Horn's parallel analysis: PCA, 3 variables, 200 observations, 25 simulations. Running Horn's parallel analysis: PCA, 3 variables, 200 observations, 25 simulations. Running Horn's parallel analysis: PCA, 3 variables, 100 observations, 25 simulations. Running Horn's parallel analysis: PCA, 5 variables, 100 observations, 25 simulations. Running Horn's parallel analysis: PCA, 5 variables, 100 observations, 25 simulations. Running Horn's parallel analysis: PCA, 4 variables, 100 observations, 25 simulations. Running Horn's parallel analysis: PCA, 3 variables, 100 observations, 25 simulations. Running Horn's parallel analysis: PCA, 50 variables, 500 observations, 10 simulations. For i = 2 j = 1 A cell entry of 0 was replaced with correct = 0.5. Check your data! Running Horn's parallel analysis: PCA, 4 variables, 500 observations, 25 simulations. Running Horn's parallel analysis: PCA, 4 variables, 300 observations, 25 simulations. Running Horn's parallel analysis: PCA, 3 variables, 300 observations, 25 simulations. Running Horn's parallel analysis: PCA, 3 variables, 200 observations, 25 simulations. Running Horn's parallel analysis: PCA, 3 variables, 200 observations, 25 simulations. Running Horn's parallel analysis: PCA, 3 variables, 200 observations, 25 simulations. Running Horn's parallel analysis: PCA, 3 variables, 200 observations, 25 simulations. Running Horn's parallel analysis: PCA, 5 variables, 200 observations, 25 simulations. Running Horn's parallel analysis: PCA, 5 variables, 200 observations, 25 simulations. Running Horn's parallel analysis: PCA, 5 variables, 200 observations, 25 simulations. Running Horn's parallel analysis: PCA, 5 variables, 200 observations, 25 simulations. Running Horn's parallel analysis: PCA, 3 variables, 100 observations, 25 simulations. Running Horn's parallel analysis: PCA, 3 variables, 100 observations, 25 simulations. Running Horn's parallel analysis: PCA, 3 variables, 100 observations, 25 simulations. Running Horn's parallel analysis: PCA, 5 variables, 100 observations, 25 simulations. Running Horn's parallel analysis: PCA, 5 variables, 100 observations, 25 simulations. Running Horn's parallel analysis: PCA, 5 variables, 100 observations, 25 simulations. Running Horn's parallel analysis: PCA, 5 variables, 100 observations, 25 simulations. Running Horn's parallel analysis: PCA, 5 variables, 100 observations, 25 simulations. Running Horn's parallel analysis: PCA, 8 variables, 200 observations, 50 simulations. Running Horn's parallel analysis: PCA, 8 variables, 200 observations, 50 simulations. Running Horn's parallel analysis: PCA, 10 variables, 300 observations, 100 simulations. Running Horn's parallel analysis: PCA, 10 variables, 300 observations, 50 simulations. Horn's Parallel Analysis Summary ================================ Call: parallel_analysis(data = integration_data, correlation = "pearson", n_iter = 100, criterion = "percentile", percentile = 95, extraction = "pca", seed = 456) Analysis information -------------------- Variables: 10 Observations: 300 Correlation: pearson Extraction: pca Iterations: 100 Criterion: percentile Percentile: 95% Retention --------- Recommended: 2 components/factors Retained indices: 1, 2 Parallel analysis results ------------------------- Component Observed Simulated_Mean Simulated_Median Simulated_Percentile 1 3.3785 1.2960 1.2808 1.3974 2 2.9614 1.2039 1.2025 1.2546 3 0.5845 1.1387 1.1361 1.1902 4 0.5409 1.0707 1.0731 1.1025 5 0.5007 1.0182 1.0176 1.0544 6 0.4645 0.9660 0.9641 1.0034 7 0.4500 0.9127 0.9160 0.9528 8 0.4219 0.8609 0.8636 0.8966 9 0.3802 0.8030 0.8016 0.8465 10 0.3175 0.7299 0.7276 0.7829 Difference Retain 1.9811 TRUE 1.7068 TRUE -0.6057 FALSE -0.5616 FALSE -0.5537 FALSE -0.5388 FALSE -0.5028 FALSE -0.4747 FALSE -0.4663 FALSE -0.4655 FALSE Running Horn's parallel analysis: PCA, 6 variables, 150 observations, 50 simulations. Running Horn's parallel analysis: PCA, 10 variables, 300 observations, 50 simulations. Horn's Parallel Analysis ======================== EpiQuestionR parallel analysis object Variables: 10 Observations: 300 Correlation: pearson Extraction: minres Simulations: 50 Criterion: mean Recommended retention: 2 components/factors Running Horn's parallel analysis: PCA, 10 variables, 300 observations, 50 simulations. Running Horn's parallel analysis: PCA, 10 variables, 300 observations, 50 simulations. Running Horn's parallel analysis: PCA, 10 variables, 300 observations, 50 simulations. Running Horn's parallel analysis: PCA, 10 variables, 300 observations, 50 simulations. Running Horn's parallel analysis: PCA, 10 variables, 300 observations, 50 simulations. Running Horn's parallel analysis: PCA, 10 variables, 300 observations, 50 simulations. Running Horn's parallel analysis: PCA, 10 variables, 300 observations, 50 simulations. Running Horn's parallel analysis: PCA, 10 variables, 300 observations, 25 simulations. Running Horn's parallel analysis: PCA, 6 variables, 50 observations, 25 simulations. Running Horn's parallel analysis: PCA, 6 variables, 100 observations, 25 simulations. Running Horn's parallel analysis: PCA, 6 variables, 250 observations, 25 simulations. Running Horn's parallel analysis: PCA, 4 variables, 200 observations, 25 simulations. Running Horn's parallel analysis: PCA, 6 variables, 200 observations, 25 simulations. Running Horn's parallel analysis: PCA, 10 variables, 200 observations, 25 simulations. Running Horn's parallel analysis: PCA, 8 variables, 500 observations, 100 simulations. Running Horn's parallel analysis: PCA, 15 variables, 1000 observations, 200 simulations. Running Horn's parallel analysis: PCA, 10 variables, 250 observations, 100 simulations. Running Horn's parallel analysis: PCA, 8 variables, 150 observations, 50 simulations. Horn's Parallel Analysis ======================== EpiQuestionR parallel analysis object Variables: 8 Observations: 150 Correlation: pearson Extraction: pca Simulations: 50 Criterion: percentile Percentile: 95% Recommended retention: 2 components/factors Horn's Parallel Analysis ======================== EpiQuestionR parallel analysis object Variables: 8 Observations: 150 Correlation: pearson Extraction: pca Simulations: 50 Criterion: percentile Percentile: 95% Recommended retention: 2 components/factors Horn's Parallel Analysis Summary ================================ Call: parallel_analysis(data = parallel_methods_data, correlation = "pearson", n_iter = 50, criterion = "percentile", percentile = 95, extraction = "pca", seed = 456) Analysis information -------------------- Variables: 8 Observations: 150 Correlation: pearson Extraction: pca Iterations: 50 Criterion: percentile Percentile: 95% Retention --------- Recommended: 2 components/factors Retained indices: 1, 2 Parallel analysis results ------------------------- Component Observed Simulated_Mean Simulated_Median Simulated_Percentile 1 2.9782 1.3574 1.3442 1.4596 2 2.1855 1.2186 1.2149 1.3115 3 0.6412 1.1170 1.1138 1.1773 4 0.5645 1.0281 1.0200 1.0802 5 0.4922 0.9531 0.9646 0.9997 6 0.4237 0.8694 0.8680 0.9185 7 0.3666 0.7798 0.7749 0.8669 8 0.3482 0.6766 0.6778 0.7562 Difference Retain 1.5187 TRUE 0.8740 TRUE -0.5361 FALSE -0.5157 FALSE -0.5076 FALSE -0.4947 FALSE -0.5004 FALSE -0.4081 FALSE Horn's Parallel Analysis ======================== EpiQuestionR parallel analysis object Variables: 8 Observations: 150 Correlation: pearson Extraction: pca Simulations: 50 Criterion: percentile Percentile: 95% Recommended retention: 2 components/factors Horn's Parallel Analysis ======================== EpiQuestionR parallel analysis object Variables: 8 Observations: 150 Correlation: pearson Extraction: pca Simulations: 50 Criterion: percentile Percentile: 95% Running Horn's parallel analysis: PCA, 8 variables, 150 observations, 25 simulations. Horn's Parallel Analysis ======================== EpiQuestionR parallel analysis object Variables: 8 Observations: 150 Correlation: pearson Extraction: minres Simulations: 25 Criterion: mean Recommended retention: 2 components/factors Horn's Parallel Analysis ======================== EpiQuestionR parallel analysis object Variables: 8 Observations: 150 Correlation: pearson Extraction: pca Simulations: 50 Criterion: percentile Percentile: 95% Recommended retention: 0 components/factors No components or factors met the specified retention criterion. Horn's Parallel Analysis ======================== EpiQuestionR parallel analysis object Variables: 8 Observations: 150 Correlation: pearson Extraction: pca Simulations: 50 Criterion: percentile Percentile: 95% Recommended retention: 8 components/factors Running Horn's parallel analysis: PCA, 6 variables, 100 observations, 50 simulations. Running Horn's parallel analysis: PCA, 6 variables, 100 observations, 50 simulations. Running Horn's parallel analysis: PCA, 6 variables, 100 observations, 50 simulations. Running Horn's parallel analysis: PCA, 6 variables, 100 observations, 50 simulations. Running Horn's parallel analysis: PCA, 8 variables, 200 observations, 50 simulations. Running Horn's parallel analysis: PCA, 8 variables, 200 observations, 25 simulations. Running Horn's parallel analysis: PCA, 8 variables, 200 observations, 25 simulations. Running Horn's parallel analysis: PCA, 8 variables, 200 observations, 50 simulations. Horn's Parallel Analysis Report =============================== METHODS ------- Horn's parallel analysis was performed using 50 Monte Carlo simulations. The analysis used pearson correlations with pca extraction. Observed eigenvalues were compared with the 95th percentile of simulated eigenvalues. Components or factors with observed eigenvalues exceeding the corresponding simulated reference eigenvalues were retained. RESULTS ------- Horn's parallel analysis supported retention of 2 components. The retained dimensions were 1, 2, for which the observed eigenvalues exceeded the corresponding simulated reference eigenvalues. INTERPRETATION -------------- Horn's parallel analysis was performed using 50 Monte Carlo simulations with pearson correlations and pca extraction. Observed eigenvalues were evaluated against the 95th percentile of simulated eigenvalues. The analysis supported retention of 2 components. The retained dimension indices were 1, 2. Based on Horn's parallel analysis, a 2-component solution is recommended for subsequent dimensionality analysis. RECOMMENDATION -------------- Based on Horn's parallel analysis, a 2-component solution is recommended for subsequent dimensionality analysis. SUMMARY ------- Method Correlation Extraction Criterion Percentile Iterations Variables parallel pearson pca percentile 95 50 8 Observations Factors_Retained 200 2 PARALLEL ANALYSIS RESULTS ------------------------- Component Observed Simulated_Mean Simulated_Percentile Difference Retain 1 2.774 1.294 1.386 1.388 TRUE 2 2.511 1.185 1.258 1.253 TRUE 3 0.568 1.109 1.160 -0.591 FALSE 4 0.508 1.034 1.073 -0.565 FALSE 5 0.488 0.954 0.991 -0.503 FALSE 6 0.433 0.888 0.934 -0.501 FALSE 7 0.399 0.816 0.858 -0.459 FALSE 8 0.318 0.720 0.787 -0.469 FALSE Decision Retain Retain Do not retain Do not retain Do not retain Do not retain Do not retain Do not retain VARIANCE EXPLAINED ------------------ Component Eigenvalue Variance_Percent Cumulative_Percent Retain Decision 1 2.774 34.675 34.675 TRUE Retain 2 2.511 31.389 66.064 TRUE Retain 3 0.568 7.104 73.167 FALSE Do not retain 4 0.508 6.353 79.520 FALSE Do not retain 5 0.488 6.096 85.616 FALSE Do not retain 6 0.433 5.415 91.030 FALSE Do not retain 7 0.399 4.990 96.020 FALSE Do not retain 8 0.318 3.980 100.000 FALSE Do not retain RETENTION DECISIONS ------------------- Component Observed Reference Difference Retain Decision 1 2.774 1.386 1.388 TRUE Retain 2 2.511 1.258 1.253 TRUE Retain 3 0.568 1.160 -0.591 FALSE Do not retain 4 0.508 1.073 -0.565 FALSE Do not retain 5 0.488 0.991 -0.503 FALSE Do not retain 6 0.433 0.934 -0.501 FALSE Do not retain 7 0.399 0.858 -0.459 FALSE Do not retain 8 0.318 0.787 -0.469 FALSE Do not retain Running Horn's parallel analysis: PCA, 6 variables, 250 observations, 100 simulations. Running Horn's parallel analysis: PCA, 6 variables, 250 observations, 25 simulations. Running Horn's parallel analysis: PCA, 6 variables, 250 observations, 100 simulations. Running Horn's parallel analysis: PCA, 6 variables, 250 observations, 100 simulations. Running Horn's parallel analysis: PCA, 6 variables, 250 observations, 50 simulations. Running Horn's parallel analysis: PCA, 6 variables, 250 observations, 50 simulations. Running Horn's parallel analysis: PCA, 6 variables, 250 observations, 50 simulations. Running Horn's parallel analysis: PCA, 6 variables, 250 observations, 50 simulations. Running Horn's parallel analysis: PCA, 6 variables, 250 observations, 50 simulations. Running Horn's parallel analysis: PCA, 6 variables, 250 observations, 50 simulations. Running Horn's parallel analysis: PCA, 6 variables, 250 observations, 50 simulations. Running Horn's parallel analysis: PCA, 6 variables, 250 observations, 50 simulations. Running Horn's parallel analysis: PCA, 6 variables, 250 observations, 50 simulations. Running Horn's parallel analysis: PCA, 6 variables, 250 observations, 50 simulations. Running Horn's parallel analysis: PCA, 6 variables, 250 observations, 50 simulations. Running Horn's parallel analysis: PCA, 6 variables, 250 observations, 50 simulations. Running Horn's parallel analysis: PCA, 6 variables, 250 observations, 10 simulations. Running Horn's parallel analysis: PCA, 6 variables, 250 observations, 200 simulations. Running Horn's parallel analysis: PCA, 6 variables, 250 observations, 25 simulations. Running Horn's parallel analysis: PCA, 6 variables, 250 observations, 100 simulations. Running Horn's parallel analysis: PCA, 5 variables, 50 observations, 25 simulations. Running Horn's parallel analysis: PCA, 5 variables, 100 observations, 25 simulations. Running Horn's parallel analysis: PCA, 5 variables, 500 observations, 25 simulations. Running Horn's parallel analysis: PCA, 3 variables, 300 observations, 25 simulations. Running Horn's parallel analysis: PCA, 5 variables, 300 observations, 25 simulations. Running Horn's parallel analysis: PCA, 10 variables, 300 observations, 25 simulations. Running Horn's parallel analysis: PCA, 8 variables, 500 observations, 100 simulations. Running Horn's parallel analysis: PCA, 8 variables, 500 observations, 100 simulations. Running Horn's parallel analysis: PCA, 6 variables, 300 observations, 50 simulations. Running Horn's parallel analysis: PCA, 6 variables, 300 observations, 50 simulations. Running Horn's parallel analysis: PCA, 5 variables, 200 observations, 25 simulations. Running Horn's parallel analysis: PCA, 5 variables, 200 observations, 25 simulations. Running Horn's parallel analysis: PCA, 5 variables, 200 observations, 25 simulations. Running Horn's parallel analysis: PCA, 6 variables, 250 observations, 500 simulations. Running Horn's parallel analysis: PCA, 6 variables, 250 observations, 500 simulations. Running Horn's parallel analysis: PCA, 10 variables, 300 observations, 100 simulations. Running Horn's parallel analysis: PCA, 8 variables, 250 observations, 100 simulations. Running Horn's parallel analysis: PCA, 10 variables, 1000 observations, 500 simulations. Running Horn's parallel analysis: PCA, 8 variables, 500 observations, 100 simulations. Running Horn's parallel analysis: PCA, 8 variables, 1000 observations, 300 simulations. Running Horn's parallel analysis: PCA, 10 variables, 1500 observations, 500 simulations. Running Horn's parallel analysis: PCA, 12 variables, 1200 observations, 300 simulations. Running Horn's parallel analysis: PCA, 16 variables, 2000 observations, 500 simulations. Running Horn's parallel analysis: PCA, 18 variables, 1500 observations, 300 simulations. Running Horn's parallel analysis: PCA, 24 variables, 2000 observations, 500 simulations. Running Horn's parallel analysis: PCA, 8 variables, 2000 observations, 100 simulations. Running Horn's parallel analysis: PCA, 8 variables, 2000 observations, 100 simulations. Running Horn's parallel analysis: PCA, 8 variables, 1500 observations, 300 simulations. Running Horn's parallel analysis: PCA, 8 variables, 1500 observations, 300 simulations. Running Horn's parallel analysis: PCA, 12 variables, 100 observations, 200 simulations. Running Horn's parallel analysis: PCA, 12 variables, 2000 observations, 200 simulations. Running Horn's parallel analysis: PCA, 8 variables, 1000 observations, 200 simulations. Running Horn's parallel analysis: PCA, 12 variables, 1000 observations, 200 simulations. Running Horn's parallel analysis: PCA, 16 variables, 1000 observations, 200 simulations. Running Horn's parallel analysis: PCA, 12 variables, 600 observations, 500 simulations. Running Horn's parallel analysis: PCA, 12 variables, 600 observations, 500 simulations. Running Horn's parallel analysis: PCA, 12 variables, 600 observations, 500 simulations. Running Horn's parallel analysis: PCA, 12 variables, 600 observations, 500 simulations. Running Horn's parallel analysis: PCA, 12 variables, 600 observations, 500 simulations. Running Horn's parallel analysis: PCA, 10 variables, 800 observations, 200 simulations. Running Horn's parallel analysis: PCA, 10 variables, 800 observations, 200 simulations. Running Horn's parallel analysis: PCA, 10 variables, 800 observations, 200 simulations. Running Horn's parallel analysis: PCA, 10 variables, 800 observations, 200 simulations. Running Horn's parallel analysis: PCA, 10 variables, 800 observations, 200 simulations. Running Horn's parallel analysis: PCA, 10 variables, 800 observations, 200 simulations. Running Horn's parallel analysis: PCA, 10 variables, 800 observations, 200 simulations. Running Horn's parallel analysis: PCA, 10 variables, 800 observations, 200 simulations. Running Horn's parallel analysis: PCA, 12 variables, 500 observations, 100 simulations. Running Horn's parallel analysis: PCA, 12 variables, 500 observations, 100 simulations. Running Horn's parallel analysis: PCA, 12 variables, 700 observations, 300 simulations. Running Horn's parallel analysis: PCA, 12 variables, 700 observations, 300 simulations. Saving _problems/test-parallel-statistical-validity-1397.R Running Horn's parallel analysis: PCA, 10 variables, 500 observations, 1000 simulations. Running Horn's parallel analysis: PCA, 10 variables, 500 observations, 1000 simulations. Running Horn's parallel analysis: PCA, 16 variables, 1500 observations, 300 simulations. Running Horn's parallel analysis: PCA, 10 variables, 1000 observations, 200 simulations. Running Horn's parallel analysis: PCA, 24 variables, 2000 observations, 300 simulations. Running Horn's parallel analysis: PCA, 10 variables, 500 observations, 1000 simulations. Running Horn's parallel analysis: PCA, 5 variables, 5000 observations, 200 simulations. Running Horn's parallel analysis: PCA, 12 variables, 1000 observations, 200 simulations. Parallel analysis suggests that the number of factors = NA and the number of components = 2 Running Horn's parallel analysis: PCA, 12 variables, 700 observations, 100 simulations. Running Horn's parallel analysis: PCA, 12 variables, 800 observations, 100 simulations. Running Horn's parallel analysis: PCA, 12 variables, 800 observations, 100 simulations. Running Horn's parallel analysis: PCA, 12 variables, 800 observations, 100 simulations. Running Horn's parallel analysis: PCA, 12 variables, 800 observations, 100 simulations. Running Horn's parallel analysis: PCA, 12 variables, 800 observations, 100 simulations. Running Horn's parallel analysis: PCA, 12 variables, 800 observations, 100 simulations. Running Horn's parallel analysis: PCA, 12 variables, 800 observations, 100 simulations. Running Horn's parallel analysis: PCA, 12 variables, 800 observations, 100 simulations. Running Horn's parallel analysis: PCA, 12 variables, 800 observations, 100 simulations. Running Horn's parallel analysis: PCA, 12 variables, 800 observations, 100 simulations. Running Horn's parallel analysis: PCA, 8 variables, 500 observations, 100 simulations. Running Horn's parallel analysis: PCA, 8 variables, 500 observations, 100 simulations. Running Horn's parallel analysis: PCA, 8 variables, 500 observations, 100 simulations. Running Horn's parallel analysis: PCA, 8 variables, 500 observations, 100 simulations. Running Horn's parallel analysis: PCA, 8 variables, 500 observations, 100 simulations. Running Horn's parallel analysis: PCA, 8 variables, 500 observations, 100 simulations. Running Horn's parallel analysis: PCA, 8 variables, 500 observations, 100 simulations. Running Horn's parallel analysis: PCA, 8 variables, 500 observations, 100 simulations. Running Horn's parallel analysis: PCA, 8 variables, 500 observations, 100 simulations. Running Horn's parallel analysis: PCA, 8 variables, 500 observations, 100 simulations. Running Horn's parallel analysis: PCA, 16 variables, 2000 observations, 500 simulations. Running Horn's parallel analysis: PCA, 8 variables, 1000 observations, 300 simulations. Running Horn's parallel analysis: PCA, 8 variables, 1000 observations, 300 simulations. Consider using Spearman or polychoric correlations. Running Horn's parallel analysis: PCA, 5 variables, 200 observations, 50 simulations. Running Horn's parallel analysis: PCA, 5 variables, 200 observations, 25 simulations. Running Horn's parallel analysis: PCA, 5 variables, 150 observations, 25 simulations. Running Horn's parallel analysis: PCA, 8 variables, 250 observations, 50 simulations. [ FAIL 1 | WARN 0 | SKIP 3 | PASS 4249 ] ══ Skipped tests (3) ═══════════════════════════════════════════════════════════ • coef.epi_parallel() does not support type = 'n_retained'. (1): 'test-parallel-methods.R:836:7' • coef.epi_parallel() does not support type = 'table'. (1): 'test-parallel-methods.R:876:7' • identical(.Platform$OS.type, "windows") is not TRUE (1): 'test-parallel-authoritative.R:4803:5' ══ Failed tests ════════════════════════════════════════════════════════════════ ── Failure ('test-parallel-statistical-validity.R:1390:5'): statistical conclusions are reproducible with fixed seed ── Expected `.stat_simulation_matrix(fit1)` to be identical to `.stat_simulation_matrix(fit2)`. Differences: actual | expected [9] 1.20577078144917538 | 1.20577078144917538 [9] [10] 1.17648173138033751 | 1.17648173138033751 [10] [11] 1.21016573071647482 | 1.21016573071647482 [11] [12] 1.24068491630540478 - 1.24068491630540567 [12] [13] 1.23243875829778093 | 1.23243875829778093 [13] [14] 1.26896540303519112 - 1.26896540303519134 [14] [15] 1.19034702383985924 | 1.19034702383985924 [15] [16] 1.22934552436023115 | 1.22934552436023115 [16] [17] 1.28010408907072692 | 1.28010408907072692 [17] actual | expected [26] 1.21686846250256253 | 1.21686846250256253 [26] [27] 1.27038630135412145 | 1.27038630135412145 [27] [28] 1.23549500874320284 | 1.23549500874320284 [28] [29] 1.17137759385238693 - 1.17137759385238671 [29] [30] 1.20767345731982334 | 1.20767345731982334 [30] [31] 1.23560419366945307 | 1.23560419366945307 [31] [32] 1.19795093041167600 | 1.19795093041167600 [32] actual | expected [38] 1.18242084985532681 | 1.18242084985532681 [38] [39] 1.24612304766578497 | 1.24612304766578497 [39] [40] 1.23088404057621581 | 1.23088404057621581 [40] [41] 1.16608145865457513 - 1.16608145865457469 [41] [42] 1.19567673047792589 | 1.19567673047792589 [42] [43] 1.18277090178109057 | 1.18277090178109057 [43] [44] 1.21036072114997562 | 1.21036072114997562 [44] [45] 1.19180661239708741 | 1.19180661239708741 [45] [46] 1.21203623317190079 - 1.21203623317190123 [46] [47] 1.20269041898633877 | 1.20269041898633877 [47] ... ... ... and 2 more ... actual | expected [52] 1.18513648865875365 | 1.18513648865875365 [52] [53] 1.19129814886512930 | 1.19129814886512930 [53] [54] 1.20462490691542556 | 1.20462490691542556 [54] [55] 1.23530469463533787 - 1.23530469463533765 [55] [56] 1.19258139915510308 | 1.19258139915510308 [56] [57] 1.21269479818143311 | 1.21269479818143311 [57] [58] 1.21242096287576895 | 1.21242096287576895 [58] actual | expected [78] 1.20628413598237838 | 1.20628413598237838 [78] [79] 1.22036617137521430 | 1.22036617137521430 [79] [80] 1.20203915446773912 | 1.20203915446773912 [80] [81] 1.19627740971164953 - 1.19627740971164931 [81] [82] 1.24600170630301377 | 1.24600170630301377 [82] [83] 1.19263125344787735 | 1.19263125344787735 [83] [84] 1.22881493248229079 | 1.22881493248229079 [84] actual | expected [89] 1.20642736111370930 | 1.20642736111370930 [89] [90] 1.25443106448803943 | 1.25443106448803943 [90] [91] 1.23939179395464194 | 1.23939179395464194 [91] [92] 1.18909942035804383 - 1.18909942035804428 [92] [93] 1.23171411322001512 | 1.23171411322001512 [93] [94] 1.23238386999138894 | 1.23238386999138894 [94] [95] 1.16419832719161387 | 1.16419832719161387 [95] actual | expected [98] 1.21880787710391769 | 1.21880787710391769 [98] [99] 1.21094211409254093 | 1.21094211409254093 [99] [100] 1.17423665516108411 | 1.17423665516108411 [100] [101] 1.27030103555888774 - 1.27030103555888729 [101] [102] 1.20679084206959120 | 1.20679084206959120 [102] [103] 1.16827296739277742 | 1.16827296739277742 [103] [104] 1.22287854928285822 | 1.22287854928285822 [104] [105] 1.19820968658067040 | 1.19820968658067040 [105] [106] 1.22657512484234865 | 1.22657512484234865 [106] [107] 1.20569346490385865 - 1.20569346490385887 [107] ... ... ... and 5 more ... actual | expected [113] 1.22380918009946882 | 1.22380918009946882 [113] [114] 1.22738934033478375 | 1.22738934033478375 [114] [115] 1.19337136228593210 | 1.19337136228593210 [115] [116] 1.23616024880875730 - 1.23616024880875686 [116] [117] 1.20348766618189118 | 1.20348766618189118 [117] [118] 1.22158866223525209 | 1.22158866223525209 [118] [119] 1.23693400973253054 | 1.23693400973253054 [119] [120] 1.20123571358966030 - 1.20123571358966053 [120] [121] 1.24141633927805661 | 1.24141633927805661 [121] [122] 1.19249023350914496 - 1.19249023350914585 [122] ... ... ... and 5 more ... actual | expected [134] 1.22729557929920108 | 1.22729557929920108 [134] [135] 1.21033557547127035 | 1.21033557547127035 [135] [136] 1.18620022957441806 | 1.18620022957441806 [136] [137] 1.24112894384146544 - 1.24112894384146588 [137] [138] 1.20908363994625945 | 1.20908363994625945 [138] [139] 1.19559901946412994 | 1.19559901946412994 [139] [140] 1.15929465603263027 | 1.15929465603263027 [140] [141] 1.18962590274961011 | 1.18962590274961011 [141] [142] 1.26024745964099272 | 1.26024745964099272 [142] [143] 1.21751721252413980 - 1.21751721252414002 [143] ... ... ... and 3 more ... actual | expected [152] 1.18852632990843721 | 1.18852632990843721 [152] [153] 1.22133908769512289 | 1.22133908769512289 [153] [154] 1.18159901545008417 | 1.18159901545008417 [154] [155] 1.23580702020772537 - 1.23580702020772493 [155] [156] 1.22043179327797313 - 1.22043179327797269 [156] [157] 1.21311215668432881 | 1.21311215668432881 [157] [158] 1.23522315300936891 | 1.23522315300936891 [158] [159] 1.27093608353069287 | 1.27093608353069287 [159] actual | expected [160] 1.27404160441076231 | 1.27404160441076231 [160] [161] 1.21940047891985137 | 1.21940047891985137 [161] [162] 1.19089030543067875 | 1.19089030543067875 [162] [163] 1.22668868339811143 - 1.22668868339811055 [163] [164] 1.18381802870038966 | 1.18381802870038966 [164] [165] 1.22961839015901830 | 1.22961839015901830 [165] [166] 1.19727961249073434 | 1.19727961249073434 [166] actual | expected [169] 1.19827327676442774 | 1.19827327676442774 [169] [170] 1.16698086773704457 | 1.16698086773704457 [170] [171] 1.24128472323900940 | 1.24128472323900940 [171] [172] 1.24704868468787455 - 1.24704868468787389 [172] [173] 1.28670902481307126 | 1.28670902481307126 [173] [174] 1.17631529114010047 | 1.17631529114010047 [174] [175] 1.30617419098718401 | 1.30617419098718401 [175] [176] 1.29494437207035684 | 1.29494437207035684 [176] [177] 1.24950465104832587 | 1.24950465104832587 [177] [178] 1.23411456351988669 - 1.23411456351988602 [178] ... ... ... and 5 more ... actual | expected [212] 1.23961199107906106 | 1.23961199107906106 [212] [213] 1.20159916175731052 | 1.20159916175731052 [213] [214] 1.19784663715522721 | 1.19784663715522721 [214] [215] 1.21406804686445824 - 1.21406804686445802 [215] [216] 1.23255922988007427 | 1.23255922988007427 [216] [217] 1.22166609320389163 | 1.22166609320389163 [217] [218] 1.21036079156372911 | 1.21036079156372911 [218] [219] 1.18501562768760627 | 1.18501562768760627 [219] [220] 1.19262900127587002 | 1.19262900127587002 [220] [221] 1.17936369011085729 - 1.17936369011085662 [221] ... ... ... and 3 more ... actual | expected [225] 1.21438426140350719 | 1.21438426140350719 [225] [226] 1.26201352065542771 | 1.26201352065542771 [226] [227] 1.19443007408426194 | 1.19443007408426194 [227] [228] 1.21246271739250133 - 1.21246271739250111 [228] [229] 1.21735068849704486 | 1.21735068849704486 [229] [230] 1.21781356885839331 | 1.21781356885839331 [230] [231] 1.20409214032525025 | 1.20409214032525025 [231] actual | expected [234] 1.18584719845928643 | 1.18584719845928643 [234] [235] 1.22585632745560935 | 1.22585632745560935 [235] [236] 1.21472230169947237 | 1.21472230169947237 [236] [237] 1.23654037201364542 - 1.23654037201364586 [237] [238] 1.23948281803291582 | 1.23948281803291582 [238] [239] 1.20717055897952252 | 1.20717055897952252 [239] [240] 1.20040204756629376 | 1.20040204756629376 [240] [241] 1.19744780005629092 | 1.19744780005629092 [241] [242] 1.17994998255426142 | 1.17994998255426142 [242] [243] 1.16606264084298439 - 1.16606264084298417 [243] ... ... ... and 8 more ... actual | expected [254] 1.15944880651002991 | 1.15944880651002991 [254] [255] 1.26511737290528159 | 1.26511737290528159 [255] [256] 1.19837737517321030 | 1.19837737517321030 [256] [257] 1.28137474021514342 - 1.28137474021514453 [257] [258] 1.17885709520095494 | 1.17885709520095494 [258] [259] 1.19958031665639142 | 1.19958031665639142 [259] [260] 1.19663844664210606 | 1.19663844664210606 [260] actual | expected [265] 1.20246555379342812 | 1.20246555379342812 [265] [266] 1.24241933437604790 | 1.24241933437604790 [266] [267] 1.15482635302037884 | 1.15482635302037884 [267] [268] 1.21363419768781289 - 1.21363419768781333 [268] [269] 1.20677175788175384 | 1.20677175788175384 [269] [270] 1.24985426915516573 | 1.24985426915516573 [270] [271] 1.18571438335639900 | 1.18571438335639900 [271] actual | expected [273] 1.21560410647886097 | 1.21560410647886097 [273] [274] 1.20496536248425379 | 1.20496536248425379 [274] [275] 1.20748800499691167 | 1.20748800499691167 [275] [276] 1.25858810697744983 - 1.25858810697744938 [276] [277] 1.24328846793900105 | 1.24328846793900105 [277] [278] 1.18098377763012907 | 1.18098377763012907 [278] [279] 1.23116463709443291 | 1.23116463709443291 [279] actual | expected [282] 1.21083743064305938 | 1.21083743064305938 [282] [283] 1.19597720311035260 | 1.19597720311035260 [283] [284] 1.21912748770751400 | 1.21912748770751400 [284] [285] 1.22196810921110011 - 1.22196810921109988 [285] [286] 1.18684486353786411 - 1.18684486353786434 [286] [287] 1.21703314264162588 | 1.21703314264162588 [287] [288] 1.22661040941826371 | 1.22661040941826371 [288] [289] 1.22701781717490599 | 1.22701781717490599 [289] actual | expected [294] 1.25409438784336036 | 1.25409438784336036 [294] [295] 1.23259354086163531 | 1.23259354086163531 [295] [296] 1.30638042975571889 | 1.30638042975571889 [296] [297] 1.22694990937227755 - 1.22694990937227866 [297] [298] 1.19847478176715083 - 1.19847478176715061 [298] [299] 1.16470371223864655 | 1.16470371223864655 [299] [300] 1.19900061334764452 - 1.19900061334764474 [300] [301] 1.15979970587171488 | 1.15979970587171488 [301] [302] 1.13484082913508955 | 1.13484082913508955 [302] [303] 1.13964355017020091 | 1.13964355017020091 [303] actual | expected [309] 1.17056410707362679 | 1.17056410707362679 [309] [310] 1.15054985061599813 | 1.15054985061599813 [310] [311] 1.13537567031793807 | 1.13537567031793807 [311] [312] 1.16746370609711536 - 1.16746370609711425 [312] [313] 1.18431057658597583 | 1.18431057658597583 [313] [314] 1.17014947418616422 - 1.17014947418616466 [314] [315] 1.17124684849192873 | 1.17124684849192873 [315] [316] 1.12484478502455576 | 1.12484478502455576 [316] [317] 1.16312324315924442 | 1.16312324315924442 [317] actual | expected [326] 1.13022378060296425 | 1.13022378060296425 [326] [327] 1.13919099210343000 | 1.13919099210343000 [327] [328] 1.12836595979626386 | 1.12836595979626386 [328] [329] 1.14216774168191759 - 1.14216774168191826 [329] [330] 1.16082510206058975 | 1.16082510206058975 [330] [331] 1.16657645023308598 | 1.16657645023308598 [331] [332] 1.17229341542479326 | 1.17229341542479326 [332] actual | expected [343] 1.15831764372247759 | 1.15831764372247759 [343] [344] 1.18088673827571733 | 1.18088673827571733 [344] [345] 1.16952484298147619 | 1.16952484298147619 [345] [346] 1.13586530988787926 - 1.13586530988787904 [346] [347] 1.15673060723458665 | 1.15673060723458665 [347] [348] 1.18905892558160042 | 1.18905892558160042 [348] [349] 1.16542386968450584 | 1.16542386968450584 [349] actual | expected [352] 1.16417558001040344 | 1.16417558001040344 [352] [353] 1.18839791812880358 | 1.18839791812880358 [353] [354] 1.15163084331760435 | 1.15163084331760435 [354] [355] 1.18465520151886650 - 1.18465520151886494 [355] [356] 1.16848955701460766 | 1.16848955701460766 [356] [357] 1.17007952136010185 | 1.17007952136010185 [357] [358] 1.17499285929038666 | 1.17499285929038666 [358] actual | expected [366] 1.13252024077143343 | 1.13252024077143343 [366] [367] 1.17529703548843401 | 1.17529703548843401 [367] [368] 1.16013429289426662 | 1.16013429289426662 [368] [369] 1.14809589050925109 - 1.14809589050925043 [369] [370] 1.11917746221947678 | 1.11917746221947678 [370] [371] 1.15470186961374677 | 1.15470186961374677 [371] [372] 1.17855230446161086 | 1.17855230446161086 [372] actual | expected [378] 1.18149414902085059 | 1.18149414902085059 [378] [379] 1.16371526568242989 | 1.16371526568242989 [379] [380] 1.15016894004528236 | 1.15016894004528236 [380] [381] 1.14285926038130214 - 1.14285926038130237 [381] [382] 1.13286712143882995 | 1.13286712143882995 [382] [383] 1.15488008289125710 | 1.15488008289125710 [383] [384] 1.18549900432531929 | 1.18549900432531929 [384] actual | expected [392] 1.15038627193038367 | 1.15038627193038367 [392] [393] 1.14373825546112751 | 1.14373825546112751 [393] [394] 1.12595526960921077 | 1.12595526960921077 [394] [395] 1.13395951293318542 - 1.13395951293318631 [395] [396] 1.16143439362189360 | 1.16143439362189360 [396] [397] 1.15172367805601294 | 1.15172367805601294 [397] [398] 1.12566131650531953 | 1.12566131650531953 [398] [399] 1.17382491058555538 | 1.17382491058555538 [399] [400] 1.15533282070065813 | 1.15533282070065813 [400] [401] 1.14856423704187516 - 1.14856423704187582 [401] ... ... ... and 11 more ... actual | expected [413] 1.15416422026061150 | 1.15416422026061150 [413] [414] 1.16645687052949598 | 1.16645687052949598 [414] [415] 1.13201280144808591 | 1.13201280144808591 [415] [416] 1.14930399808629757 - 1.14930399808629713 [416] [417] 1.14383953150085405 | 1.14383953150085405 [417] [418] 1.15624383821139931 | 1.15624383821139931 [418] [419] 1.12496927896306986 | 1.12496927896306986 [419] [420] 1.18945923818945776 - 1.18945923818945865 [420] [421] 1.18574153131081927 | 1.18574153131081927 [421] [422] 1.16265144047641744 - 1.16265144047641678 [422] ... ... ... and 5 more ... actual | expected [434] 1.16379714361457465 | 1.16379714361457465 [434] [435] 1.16450554437744480 | 1.16450554437744480 [435] [436] 1.10886416502881580 | 1.10886416502881580 [436] [437] 1.15493763561744855 - 1.15493763561744833 [437] [438] 1.16810381387340811 | 1.16810381387340811 [438] [439] 1.15378588134183757 | 1.15378588134183757 [439] [440] 1.12035981076482205 | 1.12035981076482205 [440] [441] 1.16151866503869305 | 1.16151866503869305 [441] [442] 1.15468098185639279 | 1.15468098185639279 [442] [443] 1.15854438766303502 - 1.15854438766303547 [443] ... ... ... and 3 more ... actual | expected [452] 1.15974246191099151 | 1.15974246191099151 [452] [453] 1.17890721929676312 | 1.17890721929676312 [453] [454] 1.14229187949878619 | 1.14229187949878619 [454] [455] 1.20541457774355121 - 1.20541457774355054 [455] [456] 1.18581178027778633 - 1.18581178027778655 [456] [457] 1.18674155118051217 | 1.18674155118051217 [457] [458] 1.19460736929537803 | 1.19460736929537803 [458] [459] 1.16270850094951350 | 1.16270850094951350 [459] actual | expected [461] 1.14730660686233987 | 1.14730660686233987 [461] [462] 1.14093763480246402 | 1.14093763480246402 [462] [463] 1.15099617054906678 | 1.15099617054906678 [463] [464] 1.17628452998852784 - 1.17628452998852828 [464] [465] 1.12456362629808138 | 1.12456362629808138 [465] [466] 1.19149993989616498 | 1.19149993989616498 [466] [467] 1.19778287841983055 | 1.19778287841983055 [467] actual | expected [469] 1.14733290166293855 | 1.14733290166293855 [469] [470] 1.14163637346987046 | 1.14163637346987046 [470] [471] 1.17885825007535927 | 1.17885825007535927 [471] [472] 1.13616942304235913 - 1.13616942304235957 [472] [473] 1.14823478061878115 | 1.14823478061878115 [473] [474] 1.12145163072252751 | 1.12145163072252751 [474] [475] 1.20937631883944641 | 1.20937631883944641 [475] [476] 1.17760334490561447 | 1.17760334490561447 [476] [477] 1.17351805924191877 | 1.17351805924191877 [477] [478] 1.17438910591405032 - 1.17438910591405055 [478] ... ... ... and 5 more ... actual | expected [512] 1.17659991426903510 | 1.17659991426903510 [512] [513] 1.12042493920318487 | 1.12042493920318487 [513] [514] 1.16175074968415770 | 1.16175074968415770 [514] [515] 1.18385696484575553 - 1.18385696484575531 [515] [516] 1.17610108043672201 | 1.17610108043672201 [516] [517] 1.17072332942932533 | 1.17072332942932533 [517] [518] 1.18324550627169356 | 1.18324550627169356 [518] actual | expected [534] 1.14896760057762481 | 1.14896760057762481 [534] [535] 1.15678911413328067 | 1.15678911413328067 [535] [536] 1.16323320593359147 | 1.16323320593359147 [536] [537] 1.14712079579089354 - 1.14712079579089310 [537] [538] 1.15080710720253632 | 1.15080710720253632 [538] [539] 1.18244660440117788 | 1.18244660440117788 [539] [540] 1.18114495221083415 | 1.18114495221083415 [540] [541] 1.17918306267361639 | 1.17918306267361639 [541] [542] 1.14496123094050328 | 1.14496123094050328 [542] [543] 1.14620925082401159 - 1.14620925082401182 [543] ... ... ... and 8 more ... actual | expected [554] 1.14158075253474767 | 1.14158075253474767 [554] [555] 1.18306699220705780 | 1.18306699220705780 [555] [556] 1.15396118139554549 | 1.15396118139554549 [556] [557] 1.13992332887472503 - 1.13992332887472525 [557] [558] 1.15567079940199591 | 1.15567079940199591 [558] [559] 1.15924955858771028 | 1.15924955858771028 [559] [560] 1.15600650416100748 | 1.15600650416100748 [560] [561] 1.12477776176199407 | 1.12477776176199407 [561] [562] 1.17759935456084408 - 1.17759935456084275 [562] [563] 1.14514049546621743 | 1.14514049546621743 [563] ... ... ... and 8 more ... actual | expected [573] 1.15561904367594548 | 1.15561904367594548 [573] [574] 1.17724209749115083 | 1.17724209749115083 [574] [575] 1.12451948004253821 | 1.12451948004253821 [575] [576] 1.18111299957108185 - 1.18111299957108073 [576] [577] 1.18703456887414327 | 1.18703456887414327 [577] [578] 1.17048612417664066 | 1.17048612417664066 [578] [579] 1.15536085003879574 | 1.15536085003879574 [579] actual | expected [582] 1.18548120301698079 | 1.18548120301698079 [582] [583] 1.12926180629252637 | 1.12926180629252637 [583] [584] 1.18068735175005601 | 1.18068735175005601 [584] [585] 1.15641678486470334 - 1.15641678486470356 [585] [586] 1.14063018975348340 - 1.14063018975348363 [586] [587] 1.16120631890437864 - 1.16120631890437953 [587] [588] 1.18392004392819095 | 1.18392004392819095 [588] [589] 1.16979832648919113 | 1.16979832648919113 [589] [590] 1.15908819435478017 | 1.15908819435478017 [590] actual | expected [594] 1.19884189144856945 | 1.19884189144856945 [594] [595] 1.12868139859361816 | 1.12868139859361816 [595] [596] 1.11958979485372079 | 1.11958979485372079 [596] [597] 1.18949244729386860 - 1.18949244729386838 [597] [598] 1.16280791630780178 - 1.16280791630780156 [598] [599] 1.14444764314986980 | 1.14444764314986980 [599] [600] 1.16284447836883942 | 1.16284447836883942 [600] [601] 1.10062734761420478 | 1.10062734761420478 [601] actual | expected [603] 1.11945921092582923 | 1.11945921092582923 [603] [604] 1.11720775930569416 | 1.11720775930569416 [604] [605] 1.15793937045141226 | 1.15793937045141226 [605] [606] 1.08824385666057566 - 1.08824385666057610 [606] [607] 1.13132067164228012 | 1.13132067164228012 [607] [608] 1.12300524060431073 | 1.12300524060431073 [608] [609] 1.12051739182127985 | 1.12051739182127985 [609] [610] 1.09615863687343196 | 1.09615863687343196 [610] [611] 1.09515881672998927 | 1.09515881672998927 [611] [612] 1.09828784682244640 - 1.09828784682244662 [612] ... ... ... and 3 more ... actual | expected [626] 1.10407688090156042 | 1.10407688090156042 [626] [627] 1.12251888824095092 | 1.12251888824095092 [627] [628] 1.11182409783319724 | 1.11182409783319724 [628] [629] 1.12645203473849898 - 1.12645203473849942 [629] [630] 1.12339683107593813 | 1.12339683107593813 [630] [631] 1.12827549631610813 | 1.12827549631610813 [631] [632] 1.15788037957750900 | 1.15788037957750900 [632] actual | expected [638] 1.12402686441761168 | 1.12402686441761168 [638] [639] 1.12685333146163424 | 1.12685333146163424 [639] [640] 1.10892624113695248 | 1.10892624113695248 [640] [641] 1.10493992967174548 - 1.10493992967174570 [641] [642] 1.10402226370651180 | 1.10402226370651180 [642] [643] 1.15250759492046662 | 1.15250759492046662 [643] [644] 1.10897575967908302 | 1.10897575967908302 [644] [645] 1.13006042821272290 | 1.13006042821272290 [645] [646] 1.11324658719990666 - 1.11324658719990621 [646] [647] 1.14222721958818507 | 1.14222721958818507 [647] ... ... ... and 2 more ... actual | expected [652] 1.12176939944791365 | 1.12176939944791365 [652] [653] 1.14202063346756977 | 1.14202063346756977 [653] [654] 1.09299379450165390 | 1.09299379450165390 [654] [655] 1.11274239537577091 - 1.11274239537577024 [655] [656] 1.12125435723717803 | 1.12125435723717803 [656] [657] 1.13445552198025990 | 1.13445552198025990 [657] [658] 1.12397643023952454 | 1.12397643023952454 [658] actual | expected [666] 1.08939844843851286 | 1.08939844843851286 [666] [667] 1.11339503599619172 | 1.11339503599619172 [667] [668] 1.12918490040686148 | 1.12918490040686148 [668] [669] 1.14052747844215840 - 1.14052747844215863 [669] [670] 1.07539916092047783 | 1.07539916092047783 [670] [671] 1.12035810560267524 | 1.12035810560267524 [671] [672] 1.12209772607102254 | 1.12209772607102254 [672] actual | expected [678] 1.11571861279245343 | 1.11571861279245343 [678] [679] 1.13804122050259560 | 1.13804122050259560 [679] [680] 1.08908552516923396 | 1.08908552516923396 [680] [681] 1.11139428549730113 - 1.11139428549730135 [681] [682] 1.10251667829686029 | 1.10251667829686029 [682] [683] 1.11153218778761742 | 1.11153218778761742 [683] [684] 1.11229490463726033 | 1.11229490463726033 [684] actual | expected [689] 1.13273057080815698 | 1.13273057080815698 [689] [690] 1.12285764121281018 | 1.12285764121281018 [690] [691] 1.11885934126047415 | 1.11885934126047415 [691] [692] 1.10888597108514020 - 1.10888597108513998 [692] [693] 1.11902002171913328 | 1.11902002171913328 [693] [694] 1.09427979159351629 | 1.09427979159351629 [694] [695] 1.13065417895962672 - 1.13065417895962650 [695] [696] 1.11793120253147871 | 1.11793120253147871 [696] [697] 1.09102562738192965 | 1.09102562738192965 [697] [698] 1.12094382363951572 | 1.12094382363951572 [698] ... ... ... and 12 more ... actual | expected [713] 1.14869089702392890 | 1.14869089702392890 [713] [714] 1.09570916732273460 | 1.09570916732273460 [714] [715] 1.10548243446014349 | 1.10548243446014349 [715] [716] 1.13190085749820168 - 1.13190085749820213 [716] [717] 1.09874265307981744 | 1.09874265307981744 [717] [718] 1.14129554659142229 | 1.14129554659142229 [718] [719] 1.09955807045327525 | 1.09955807045327525 [719] [720] 1.11283322740464441 - 1.11283322740464463 [720] [721] 1.12620079393573258 | 1.12620079393573258 [721] [722] 1.08588962236794528 - 1.08588962236794595 [722] ... ... ... and 5 more ... actual | expected [734] 1.13896406530775995 | 1.13896406530775995 [734] [735] 1.12673466670057087 | 1.12673466670057087 [735] [736] 1.10600649080010260 | 1.10600649080010260 [736] [737] 1.12406754346279536 - 1.12406754346279469 [737] [738] 1.09800205906916482 | 1.09800205906916482 [738] [739] 1.09964055558276752 | 1.09964055558276752 [739] [740] 1.11469902314596103 | 1.11469902314596103 [740] [741] 1.12227910516105234 | 1.12227910516105234 [741] [742] 1.13574466317282430 | 1.13574466317282430 [742] [743] 1.12928427885103089 - 1.12928427885103067 [743] ... ... ... and 3 more ... actual | expected [752] 1.13033484335859624 | 1.13033484335859624 [752] [753] 1.09442173603333015 | 1.09442173603333015 [753] [754] 1.11369253782107247 | 1.11369253782107247 [754] [755] 1.15181767551447622 - 1.15181767551447645 [755] [756] 1.11936620934123465 - 1.11936620934123510 [756] [757] 1.13618923472287103 | 1.13618923472287103 [757] [758] 1.13645635273320789 | 1.13645635273320789 [758] [759] 1.10483754616962515 | 1.10483754616962515 [759] actual | expected [761] 1.10740572312962504 | 1.10740572312962504 [761] [762] 1.13251492362778183 | 1.13251492362778183 [762] [763] 1.11436458782336301 | 1.11436458782336301 [763] [764] 1.07619201597551983 - 1.07619201597551939 [764] [765] 1.10770612754171016 | 1.10770612754171016 [765] [766] 1.10388387698929313 | 1.10388387698929313 [766] [767] 1.09978740254128726 | 1.09978740254128726 [767] actual | expected [769] 1.10802520372867286 | 1.10802520372867286 [769] [770] 1.08330032727050996 | 1.08330032727050996 [770] [771] 1.13375471443246445 | 1.13375471443246445 [771] [772] 1.09817274232158857 - 1.09817274232158923 [772] [773] 1.11922499920773411 | 1.11922499920773411 [773] [774] 1.10151034521750124 | 1.10151034521750124 [774] [775] 1.16601170468754578 | 1.16601170468754578 [775] [776] 1.10789760433107976 | 1.10789760433107976 [776] [777] 1.15862556239316961 | 1.15862556239316961 [777] [778] 1.11399442071183485 - 1.11399442071183530 [778] ... ... ... and 5 more ... actual | expected [812] 1.10580858528112058 | 1.10580858528112058 [812] [813] 1.10881612057813372 | 1.10881612057813372 [813] [814] 1.10066804452866429 | 1.10066804452866429 [814] [815] 1.09780558140290463 - 1.09780558140290507 [815] [816] 1.12756241790711864 | 1.12756241790711864 [816] [817] 1.14085965489437724 | 1.14085965489437724 [817] [818] 1.10221085573253341 | 1.10221085573253341 [818] [819] 1.11158551694120145 | 1.11158551694120145 [819] [820] 1.11798196212237388 | 1.11798196212237388 [820] [821] 1.09498470514190416 - 1.09498470514190460 [821] ... ... ... and 3 more ... actual | expected [825] 1.13091438451229775 | 1.13091438451229775 [825] [826] 1.12575134938151056 | 1.12575134938151056 [826] [827] 1.09786731153281880 | 1.09786731153281880 [827] [828] 1.09860502535983429 - 1.09860502535983451 [828] [829] 1.07286682485073048 | 1.07286682485073048 [829] [830] 1.13593702211391090 | 1.13593702211391090 [830] [831] 1.12138255086555971 | 1.12138255086555971 [831] actual | expected [834] 1.10330212228892321 | 1.10330212228892321 [834] [835] 1.14113206354034524 | 1.14113206354034524 [835] [836] 1.13197252003721482 | 1.13197252003721482 [836] [837] 1.09456818386800991 - 1.09456818386800925 [837] [838] 1.11503640578095964 | 1.11503640578095964 [838] [839] 1.11731164423669127 | 1.11731164423669127 [839] [840] 1.17409482931835818 | 1.17409482931835818 [840] [841] 1.12171631216603096 | 1.12171631216603096 [841] [842] 1.09256439650275250 | 1.09256439650275250 [842] [843] 1.12039002497727291 - 1.12039002497727136 [843] ... ... ... and 8 more ... actual | expected [854] 1.12053551489343528 | 1.12053551489343528 [854] [855] 1.11009890201540218 | 1.11009890201540218 [855] [856] 1.09835298752585042 | 1.09835298752585042 [856] [857] 1.08148109158441219 - 1.08148109158441197 [857] [858] 1.13726192127174808 | 1.13726192127174808 [858] [859] 1.12321522267671514 | 1.12321522267671514 [859] [860] 1.10210374875130968 | 1.10210374875130968 [860] [861] 1.09392156738707458 | 1.09392156738707458 [861] [862] 1.10017298432769839 - 1.10017298432769817 [862] [863] 1.10776910213609114 | 1.10776910213609114 [863] ... ... ... and 8 more ... actual | expected [873] 1.12938113465957146 | 1.12938113465957146 [873] [874] 1.10728208055936550 | 1.10728208055936550 [874] [875] 1.11888474236801794 | 1.11888474236801794 [875] [876] 1.12052206376804708 - 1.12052206376804753 [876] [877] 1.14142568843578296 | 1.14142568843578296 [877] [878] 1.11360500021590547 | 1.11360500021590547 [878] [879] 1.11018474544061507 | 1.11018474544061507 [879] actual | expected [882] 1.15263932058003560 | 1.15263932058003560 [882] [883] 1.10945050908029796 | 1.10945050908029796 [883] [884] 1.11129553643187928 | 1.11129553643187928 [884] [885] 1.11662320660066494 - 1.11662320660066516 [885] [886] 1.08793275126436950 - 1.08793275126436906 [886] [887] 1.12339380649290232 - 1.12339380649290277 [887] [888] 1.11566117788333696 | 1.11566117788333696 [888] [889] 1.14163658775101817 | 1.14163658775101817 [889] [890] 1.13483675568908482 | 1.13483675568908482 [890] actual | expected [895] 1.09189838548450879 | 1.09189838548450879 [895] [896] 1.10416638077868456 | 1.10416638077868456 [896] [897] 1.10441297133602467 | 1.10441297133602467 [897] [898] 1.13877433907477221 - 1.13877433907477288 [898] [899] 1.11010995096895426 | 1.11010995096895426 [899] [900] 1.08884445154221843 - 1.08884445154221865 [900] [901] 1.08179383146040298 | 1.08179383146040298 [901] [902] 1.06654251455194959 | 1.06654251455194959 [902] [903] 1.07797275588020391 | 1.07797275588020391 [903] [904] 1.07752948709701979 | 1.07752948709701979 [904] ... ... ... and 13 more ... actual | expected [926] 1.08190436227229658 | 1.08190436227229658 [926] [927] 1.07456287147991625 | 1.07456287147991625 [927] [928] 1.10748847259169581 | 1.10748847259169581 [928] [929] 1.04763542174872404 - 1.04763542174872359 [929] [930] 1.08865971785925164 | 1.08865971785925164 [930] [931] 1.07703290519795702 | 1.07703290519795702 [931] [932] 1.09568217457606143 | 1.09568217457606143 [932] actual | expected [952] 1.07243878895284750 | 1.07243878895284750 [952] [953] 1.08899771481786090 | 1.08899771481786090 [953] [954] 1.06829731602252709 | 1.06829731602252709 [954] [955] 1.07665795511067985 - 1.07665795511067963 [955] [956] 1.06618533353148259 | 1.06618533353148259 [956] [957] 1.10018536458894767 | 1.10018536458894767 [957] [958] 1.11616151355768278 | 1.11616151355768278 [958] actual | expected [966] 1.05948195564027903 | 1.05948195564027903 [966] [967] 1.03208237910273182 | 1.03208237910273182 [967] [968] 1.06742733637110088 | 1.06742733637110088 [968] [969] 1.12344408284634900 - 1.12344408284634878 [969] [970] 1.04824793054343202 | 1.04824793054343202 [970] [971] 1.10672249467863448 | 1.10672249467863448 [971] [972] 1.11158643238642862 | 1.11158643238642862 [972] actual | expected [978] 1.06354845204407078 | 1.06354845204407078 [978] [979] 1.06530927882649884 | 1.06530927882649884 [979] [980] 1.06253830809230454 | 1.06253830809230454 [980] [981] 1.06674148211875641 - 1.06674148211875597 [981] [982] 1.08492165431142595 | 1.08492165431142595 [982] [983] 1.09659641924353246 | 1.09659641924353246 [983] [984] 1.07450732030847829 | 1.07450732030847829 [984] actual | expected [989] 1.06813577635406043 | 1.06813577635406043 [989] [990] 1.08860059685613053 | 1.08860059685613053 [990] [991] 1.07916336607860841 | 1.07916336607860841 [991] [992] 1.09880968774431920 - 1.09880968774431986 [992] [993] 1.10130879627696943 | 1.10130879627696943 [993] [994] 1.06758571871757812 | 1.06758571871757812 [994] [995] 1.07511407056848363 - 1.07511407056848207 [995] [996] 1.08671538094310760 | 1.08671538094310760 [996] [997] 1.05147336191419516 | 1.05147336191419516 [997] [998] 1.07086693881968276 | 1.07086693881968276 [998] ... ... ... and 14 more ... actual | expected [1013] 1.08549347351245484 | 1.08549347351245484 [1013] [1014] 1.05660972734851399 | 1.05660972734851399 [1014] [1015] 1.06159034353800830 | 1.06159034353800830 [1015] [1016] 1.08189854688327447 - 1.08189854688327491 [1016] [1017] 1.05892255036146032 | 1.05892255036146032 [1017] [1018] 1.05982485488665135 | 1.05982485488665135 [1018] [1019] 1.08255261337106989 | 1.08255261337106989 [1019] [1020] 1.09890272670592726 - 1.09890272670592681 [1020] [1021] 1.10756150124372743 | 1.10756150124372743 [1021] [1022] 1.07281755708555604 - 1.07281755708555582 [1022] ... ... ... and 5 more ... actual | expected [1040] 1.05443927700096407 | 1.05443927700096407 [1040] [1041] 1.08532994099228453 | 1.08532994099228453 [1041] [1042] 1.10378744512118998 | 1.10378744512118998 [1042] [1043] 1.07682191117332726 - 1.07682191117332704 [1043] [1044] 1.09650858356062098 | 1.09650858356062098 [1044] [1045] 1.09618242992215054 | 1.09618242992215054 [1045] [1046] 1.05677073853225068 | 1.05677073853225068 [1046] actual | expected [1052] 1.08812217077630691 | 1.08812217077630691 [1052] [1053] 1.06778800451694389 | 1.06778800451694389 [1053] [1054] 1.10081458065139270 | 1.10081458065139270 [1054] [1055] 1.08639880321627214 - 1.08639880321627191 [1055] [1056] 1.10209542395423066 - 1.10209542395423044 [1056] [1057] 1.08317428585142994 | 1.08317428585142994 [1057] [1058] 1.07184125634840588 | 1.07184125634840588 [1058] [1059] 1.09245675427952027 | 1.09245675427952027 [1059] actual | expected [1060] 1.09942712888218108 | 1.09942712888218108 [1060] [1061] 1.08380917947687827 | 1.08380917947687827 [1061] [1062] 1.08749758539008146 | 1.08749758539008146 [1062] [1063] 1.07967618318570646 - 1.07967618318570624 [1063] [1064] 1.06309571144101911 - 1.06309571144101866 [1064] [1065] 1.10015874717037554 | 1.10015874717037554 [1065] [1066] 1.06801128911885446 | 1.06801128911885446 [1066] [1067] 1.07153229818753792 | 1.07153229818753792 [1067] actual | expected [1069] 1.07645935486375688 | 1.07645935486375688 [1069] [1070] 1.06808811755937327 | 1.06808811755937327 [1070] [1071] 1.11094645391048652 | 1.11094645391048652 [1071] [1072] 1.08332168800663320 - 1.08332168800663298 [1072] [1073] 1.08062291611061534 | 1.08062291611061534 [1073] [1074] 1.07391344964077429 | 1.07391344964077429 [1074] [1075] 1.07923471349095079 | 1.07923471349095079 [1075] [1076] 1.07144374323265978 | 1.07144374323265978 [1076] [1077] 1.09312692985241688 | 1.09312692985241688 [1077] [1078] 1.07019839526040172 - 1.07019839526040195 [1078] ... ... ... and 5 more ... actual | expected [1118] 1.06531958499531165 | 1.06531958499531165 [1118] [1119] 1.06973863890800369 | 1.06973863890800369 [1119] [1120] 1.09455227101821873 | 1.09455227101821873 [1120] [1121] 1.07598872566257397 - 1.07598872566257442 [1121] [1122] 1.06260319266546310 | 1.06260319266546310 [1122] [1123] 1.09950153666491590 | 1.09950153666491590 [1123] [1124] 1.08055402340605955 | 1.08055402340605955 [1124] actual | expected [1125] 1.10758823387691185 | 1.10758823387691185 [1125] [1126] 1.09536134703361432 | 1.09536134703361432 [1126] [1127] 1.07195783107438158 | 1.07195783107438158 [1127] [1128] 1.08127034599486782 - 1.08127034599486738 [1128] [1129] 1.06348043693919792 | 1.06348043693919792 [1129] [1130] 1.07547289135005664 | 1.07547289135005664 [1130] [1131] 1.10480365471455855 | 1.10480365471455855 [1131] actual | expected [1134] 1.09674734297702026 | 1.09674734297702026 [1134] [1135] 1.08113051855038522 | 1.08113051855038522 [1135] [1136] 1.10284853466465282 | 1.10284853466465282 [1136] [1137] 1.06664970885465094 - 1.06664970885465138 [1137] [1138] 1.11033441702229640 | 1.11033441702229640 [1138] [1139] 1.10374660168039851 | 1.10374660168039851 [1139] [1140] 1.09539508130573315 | 1.09539508130573315 [1140] [1141] 1.09191924091558312 | 1.09191924091558312 [1141] [1142] 1.07659610458976518 | 1.07659610458976518 [1142] [1143] 1.06374831550442406 - 1.06374831550442384 [1143] ... ... ... and 8 more ... actual | expected [1154] 1.09200361086495690 | 1.09200361086495690 [1154] [1155] 1.07822905576306649 | 1.07822905576306649 [1155] [1156] 1.07862711405294465 | 1.07862711405294465 [1156] [1157] 1.05459194281299729 - 1.05459194281299751 [1157] [1158] 1.06522157244038529 | 1.06522157244038529 [1158] [1159] 1.08840663729176956 | 1.08840663729176956 [1159] [1160] 1.08930345359041958 | 1.08930345359041958 [1160] [1161] 1.07615938334959882 | 1.07615938334959882 [1161] [1162] 1.07461443396090095 - 1.07461443396090073 [1162] [1163] 1.05435373716355585 | 1.05435373716355585 [1163] ... ... ... and 8 more ... actual | expected [1173] 1.09199700215635764 | 1.09199700215635764 [1173] [1174] 1.08432246948375433 | 1.08432246948375433 [1174] [1175] 1.06088277464955238 | 1.06088277464955238 [1175] [1176] 1.08625513972906007 - 1.08625513972905963 [1176] [1177] 1.09045398518834502 | 1.09045398518834502 [1177] [1178] 1.08754080907858097 | 1.08754080907858097 [1178] [1179] 1.08262341136862172 | 1.08262341136862172 [1179] actual | expected [1182] 1.08691513721087429 | 1.08691513721087429 [1182] [1183] 1.06173580110428545 | 1.06173580110428545 [1183] [1184] 1.07812627781715653 | 1.07812627781715653 [1184] [1185] 1.07054216527553381 - 1.07054216527553403 [1185] [1186] 1.06381785179234534 - 1.06381785179234489 [1186] [1187] 1.10538681676736927 - 1.10538681676736950 [1187] [1188] 1.09893445284475932 | 1.09893445284475932 [1188] [1189] 1.09776295067756657 | 1.09776295067756657 [1189] [1190] 1.08716967541982146 | 1.08716967541982146 [1190] actual | expected [1194] 1.05970029716769854 | 1.05970029716769854 [1194] [1195] 1.07360042585709947 | 1.07360042585709947 [1195] [1196] 1.08230482625086943 | 1.08230482625086943 [1196] [1197] 1.08651811879474613 - 1.08651811879474591 [1197] [1198] 1.08048291512557659 | 1.08048291512557659 [1198] [1199] 1.08569021319713666 | 1.08569021319713666 [1199] [1200] 1.05998923331074169 - 1.05998923331074191 [1200] [1201] 1.06750954888485317 | 1.06750954888485317 [1201] [1202] 1.04197525670961189 | 1.04197525670961189 [1202] [1203] 1.05266326851056102 | 1.05266326851056102 [1203] actual | expected [1209] 1.04771836683325859 | 1.04771836683325859 [1209] [1210] 1.01765166456050338 | 1.01765166456050338 [1210] [1211] 1.05625703428708895 | 1.05625703428708895 [1211] [1212] 1.05142970434505179 - 1.05142970434505201 [1212] [1213] 1.05645842089647579 | 1.05645842089647579 [1213] [1214] 1.02062195072101192 - 1.02062195072101236 [1214] [1215] 1.07245020363892052 | 1.07245020363892052 [1215] [1216] 1.06032182399191255 | 1.06032182399191255 [1216] [1217] 1.02244557854442464 | 1.02244557854442464 [1217] actual | expected [1226] 1.03939478105126826 | 1.03939478105126826 [1226] [1227] 1.05453377814549465 | 1.05453377814549465 [1227] [1228] 1.04792609504411516 | 1.04792609504411516 [1228] [1229] 1.03539836703258237 - 1.03539836703258215 [1229] [1230] 1.04571986397675043 | 1.04571986397675043 [1230] [1231] 1.04290367216037860 | 1.04290367216037860 [1231] [1232] 1.01863554168891435 | 1.01863554168891435 [1232] actual | expected [1252] 1.03347047490351618 | 1.03347047490351618 [1252] [1253] 1.03600923245736420 | 1.03600923245736420 [1253] [1254] 1.04748619184988812 | 1.04748619184988812 [1254] [1255] 1.05093732666671436 - 1.05093732666671391 [1255] [1256] 1.04133894920254266 | 1.04133894920254266 [1256] [1257] 1.04094766859307453 | 1.04094766859307453 [1257] [1258] 1.04570248399002574 | 1.04570248399002574 [1258] actual | expected [1266] 1.02909841659222456 | 1.02909841659222456 [1266] [1267] 1.02186440575337345 | 1.02186440575337345 [1267] [1268] 1.03482920069486606 | 1.03482920069486606 [1268] [1269] 1.03278519460337859 - 1.03278519460337881 [1269] [1270] 1.04235962250385916 | 1.04235962250385916 [1270] [1271] 1.07297817598139855 | 1.07297817598139855 [1271] [1272] 1.03389859152676533 | 1.03389859152676533 [1272] actual | expected [1278] 1.03519636883547150 | 1.03519636883547150 [1278] [1279] 1.05109847256280786 | 1.05109847256280786 [1279] [1280] 1.05243262473808952 | 1.05243262473808952 [1280] [1281] 1.05130861656826546 - 1.05130861656826502 [1281] [1282] 1.03038997798604970 | 1.03038997798604970 [1282] [1283] 1.06389398567475757 | 1.06389398567475757 [1283] [1284] 1.02838371250313920 | 1.02838371250313920 [1284] actual | expected [1289] 1.04802709221446833 | 1.04802709221446833 [1289] [1290] 1.06259658749068286 | 1.06259658749068286 [1290] [1291] 1.05028521073819081 | 1.05028521073819081 [1291] [1292] 1.07509287924045904 - 1.07509287924045926 [1292] [1293] 1.03268486314780294 | 1.03268486314780294 [1293] [1294] 1.04802964942004739 | 1.04802964942004739 [1294] [1295] 1.04954335705882751 | 1.04954335705882751 [1295] actual | expected [1306] 1.04397232486947189 | 1.04397232486947189 [1306] [1307] 1.03246228244540283 | 1.03246228244540283 [1307] [1308] 1.07073067486405238 | 1.07073067486405238 [1308] [1309] 1.07341880305305826 - 1.07341880305305803 [1309] [1310] 1.07617387927345232 | 1.07617387927345232 [1310] [1311] 1.04460625456676715 | 1.04460625456676715 [1311] [1312] 1.04364432181055355 | 1.04364432181055355 [1312] actual | expected [1313] 1.03997268239511920 | 1.03997268239511920 [1313] [1314] 1.03107116149979472 | 1.03107116149979472 [1314] [1315] 1.04866284507036234 | 1.04866284507036234 [1315] [1316] 1.05986229632130335 - 1.05986229632130358 [1316] [1317] 1.04899115632099482 | 1.04899115632099482 [1317] [1318] 1.03945883346595513 | 1.03945883346595513 [1318] [1319] 1.03916566640282437 | 1.03916566640282437 [1319] [1320] 1.00825386042837017 - 1.00825386042836995 [1320] [1321] 1.05552844730649786 | 1.05552844730649786 [1321] [1322] 1.04423148910054175 - 1.04423148910054131 [1322] ... ... ... and 5 more ... actual | expected [1334] 1.05119160188190963 | 1.05119160188190963 [1334] [1335] 1.01533609905385513 | 1.01533609905385513 [1335] [1336] 1.06833280493887517 | 1.06833280493887517 [1336] [1337] 1.05570868405540641 - 1.05570868405540574 [1337] [1338] 1.04059100218440737 | 1.04059100218440737 [1338] [1339] 1.05297693529742853 | 1.05297693529742853 [1339] [1340] 1.03431693602917685 | 1.03431693602917685 [1340] [1341] 1.06509644881159238 | 1.06509644881159238 [1341] [1342] 1.04073256499448030 | 1.04073256499448030 [1342] [1343] 1.02910055538890632 - 1.02910055538890588 [1343] ... ... ... and 3 more ... actual | expected [1353] 1.04938156883557232 | 1.04938156883557232 [1353] [1354] 1.04701811919130816 | 1.04701811919130816 [1354] [1355] 1.01770827456608060 | 1.01770827456608060 [1355] [1356] 1.03131033932706084 - 1.03131033932706040 [1356] [1357] 1.03978439223617958 | 1.03978439223617958 [1357] [1358] 1.05875135071257143 | 1.05875135071257143 [1358] [1359] 1.01116319219661976 | 1.01116319219661976 [1359] actual | expected [1360] 1.02674497307690626 | 1.02674497307690626 [1360] [1361] 1.04989548052761905 | 1.04989548052761905 [1361] [1362] 1.04938852535325799 | 1.04938852535325799 [1362] [1363] 1.04813164587313823 - 1.04813164587313756 [1363] [1364] 1.02817651193795623 - 1.02817651193795578 [1364] [1365] 1.04305502839147790 | 1.04305502839147790 [1365] [1366] 1.03543428275141913 | 1.03543428275141913 [1366] [1367] 1.02989290396857092 | 1.02989290396857092 [1367] actual | expected [1369] 1.04396630406849011 | 1.04396630406849011 [1369] [1370] 1.03719904894660697 | 1.03719904894660697 [1370] [1371] 1.04998605818101942 | 1.04998605818101942 [1371] [1372] 1.04355962085955434 - 1.04355962085955389 [1372] [1373] 1.05023883621343184 | 1.05023883621343184 [1373] [1374] 1.04337374427697371 | 1.04337374427697371 [1374] [1375] 1.01422332668811865 | 1.01422332668811865 [1375] [1376] 1.02797183392411173 | 1.02797183392411173 [1376] [1377] 1.03507065654823771 | 1.03507065654823771 [1377] [1378] 1.02700322274598332 - 1.02700322274598377 [1378] ... ... ... and 3 more ... actual | expected [1412] 1.02106715070389664 | 1.02106715070389664 [1412] [1413] 1.05400685663349969 | 1.05400685663349969 [1413] [1414] 1.02653782633617641 | 1.02653782633617641 [1414] [1415] 1.05489300764387450 - 1.05489300764387428 [1415] [1416] 1.03930626382742730 | 1.03930626382742730 [1416] [1417] 1.05115412249284690 | 1.05115412249284690 [1417] [1418] 1.02318022471118764 | 1.02318022471118764 [1418] [1419] 1.04526501745260858 | 1.04526501745260858 [1419] [1420] 1.06108677300886178 | 1.06108677300886178 [1420] [1421] 1.04473197329979506 - 1.04473197329979661 [1421] ... ... ... and 3 more ... actual | expected [1425] 1.04327604579116562 | 1.04327604579116562 [1425] [1426] 1.06155182762718581 | 1.06155182762718581 [1426] [1427] 1.04867822660745591 | 1.04867822660745591 [1427] [1428] 1.05481699645532334 - 1.05481699645532312 [1428] [1429] 1.05699152283855424 | 1.05699152283855424 [1429] [1430] 1.06986922665479711 | 1.06986922665479711 [1430] [1431] 1.08489085503981020 | 1.08489085503981020 [1431] actual | expected [1434] 1.05222609686388724 | 1.05222609686388724 [1434] [1435] 1.03794923231117475 | 1.03794923231117475 [1435] [1436] 1.08074805806317764 | 1.08074805806317764 [1436] [1437] 1.05554708030581801 - 1.05554708030581779 [1437] [1438] 1.03961290552049657 | 1.03961290552049657 [1438] [1439] 1.04808084845121186 | 1.04808084845121186 [1439] [1440] 1.05188785980932020 | 1.05188785980932020 [1440] [1441] 1.02610914876836290 | 1.02610914876836290 [1441] [1442] 1.02471920747813039 | 1.02471920747813039 [1442] [1443] 1.04152153893416211 - 1.04152153893416299 [1443] ... ... ... and 8 more ... actual | expected [1454] 1.05399087805477865 | 1.05399087805477865 [1454] [1455] 1.04806907861661736 | 1.04806907861661736 [1455] [1456] 1.05325856731088674 | 1.05325856731088674 [1456] [1457] 1.02182151750010330 - 1.02182151750010286 [1457] [1458] 1.01301539040091360 | 1.01301539040091360 [1458] [1459] 1.02401896239494583 | 1.02401896239494583 [1459] [1460] 1.04349179246921597 | 1.04349179246921597 [1460] [1461] 1.05870220983286423 | 1.05870220983286423 [1461] [1462] 1.05182049866016558 - 1.05182049866016492 [1462] [1463] 1.03358428002584479 | 1.03358428002584479 [1463] ... ... ... and 8 more ... actual | expected [1473] 1.05585325276945707 | 1.05585325276945707 [1473] [1474] 1.03431352216361105 | 1.03431352216361105 [1474] [1475] 1.03156463889549532 | 1.03156463889549532 [1475] [1476] 1.07604895670934542 - 1.07604895670934519 [1476] [1477] 1.07084067539485495 | 1.07084067539485495 [1477] [1478] 1.05112452378532439 | 1.05112452378532439 [1478] [1479] 1.05849805519731444 | 1.05849805519731444 [1479] actual | expected [1482] 1.06927860907780148 | 1.06927860907780148 [1482] [1483] 1.02780544033455046 | 1.02780544033455046 [1483] [1484] 1.05128353809720920 | 1.05128353809720920 [1484] [1485] 1.04968358151551922 - 1.04968358151552077 [1485] [1486] 1.04374642512290317 | 1.04374642512290317 [1486] [1487] 1.06153460040661929 - 1.06153460040661951 [1487] [1488] 1.03261619301110597 | 1.03261619301110597 [1488] [1489] 1.05473965723425223 | 1.05473965723425223 [1489] [1490] 1.03659572388720456 | 1.03659572388720456 [1490] actual | expected [1494] 1.03310365065621035 | 1.03310365065621035 [1494] [1495] 1.05964897350709530 | 1.05964897350709530 [1495] [1496] 1.07276247044497541 | 1.07276247044497541 [1496] [1497] 1.05465881277032292 - 1.05465881277032314 [1497] [1498] 1.04876611128640862 | 1.04876611128640862 [1498] [1499] 1.04529644437836722 | 1.04529644437836722 [1499] [1500] 1.05610166432300590 - 1.05610166432300612 [1500] [1501] 1.02813641197482775 | 1.02813641197482775 [1501] [1502] 1.02171503621780735 | 1.02171503621780735 [1502] [1503] 1.03410997519178638 | 1.03410997519178638 [1503] ... ... ... and 14 more ... actual | expected [1526] 1.01985195931586259 | 1.01985195931586259 [1526] [1527] 0.99771519274104481 | 0.99771519274104481 [1527] [1528] 1.02283242014127551 | 1.02283242014127551 [1528] [1529] 1.01446644481405079 - 1.01446644481405057 [1529] [1530] 1.00604707639605162 | 1.00604707639605162 [1530] [1531] 1.00969787615676854 | 1.00969787615676854 [1531] [1532] 0.98904329679369196 | 0.98904329679369196 [1532] actual | expected [1538] 1.02300887276468866 | 1.02300887276468866 [1538] [1539] 1.02343369908733806 | 1.02343369908733806 [1539] [1540] 0.99424404248764131 | 0.99424404248764131 [1540] [1541] 0.99406063922844412 - 0.99406063922844368 [1541] [1542] 1.02984396276188384 | 1.02984396276188384 [1542] [1543] 1.01671395808688869 | 1.01671395808688869 [1543] [1544] 1.00058252505722622 | 1.00058252505722622 [1544] actual | expected [1552] 1.00424153952341855 | 1.00424153952341855 [1552] [1553] 0.99937372628591770 | 0.99937372628591770 [1553] [1554] 1.01165008366451881 | 1.01165008366451881 [1554] [1555] 1.01943337859130412 - 1.01943337859130345 [1555] [1556] 1.01532947682928709 | 1.01532947682928709 [1556] [1557] 1.01336098562256605 | 1.01336098562256605 [1557] [1558] 1.02402686296946444 | 1.02402686296946444 [1558] actual | expected [1566] 1.00103713712796072 | 1.00103713712796072 [1566] [1567] 1.00119934083080575 | 1.00119934083080575 [1567] [1568] 1.00344036909775647 | 1.00344036909775647 [1568] [1569] 1.00281512761695857 - 1.00281512761695835 [1569] [1570] 1.00979020279169185 | 1.00979020279169185 [1570] [1571] 1.00166573128748970 | 1.00166573128748970 [1571] [1572] 1.02778475369265809 | 1.02778475369265809 [1572] actual | expected [1578] 1.00756317164911646 | 1.00756317164911646 [1578] [1579] 1.01909950395290649 | 1.01909950395290649 [1579] [1580] 1.02973470059405581 | 1.02973470059405581 [1580] [1581] 0.99605646485139399 - 0.99605646485139443 [1581] [1582] 1.01626503218608688 | 1.01626503218608688 [1582] [1583] 0.99441426941520272 | 0.99441426941520272 [1583] [1584] 1.01221338079313883 | 1.01221338079313883 [1584] actual | expected [1592] 1.02122553708331965 | 1.02122553708331965 [1592] [1593] 0.99790340285388057 | 0.99790340285388057 [1593] [1594] 1.03975695132367640 | 1.03975695132367640 [1594] [1595] 1.01660551455551684 - 1.01660551455551595 [1595] [1596] 1.02916543098592927 | 1.02916543098592927 [1596] [1597] 1.00532495614049222 | 1.00532495614049222 [1597] [1598] 1.03134665625187072 | 1.03134665625187072 [1598] actual | expected [1619] 1.01083608179683737 | 1.01083608179683737 [1619] [1620] 0.99830499635482151 | 0.99830499635482151 [1620] [1621] 0.98591671497176459 | 0.98591671497176459 [1621] [1622] 1.03859796527531212 - 1.03859796527531389 [1622] [1623] 0.99602984796054950 | 0.99602984796054950 [1623] [1624] 1.03412401044478508 - 1.03412401044478552 [1624] [1625] 0.99360419545123124 | 0.99360419545123124 [1625] [1626] 1.00481099046042588 | 1.00481099046042588 [1626] [1627] 1.00132354374912391 | 1.00132354374912391 [1627] actual | expected [1634] 1.02365833579971977 | 1.02365833579971977 [1634] [1635] 1.00646069210566469 | 1.00646069210566469 [1635] [1636] 0.99835894235196110 | 0.99835894235196110 [1636] [1637] 1.02368861494762609 - 1.02368861494762631 [1637] [1638] 1.02396023665042168 | 1.02396023665042168 [1638] [1639] 1.01098635037900797 | 1.01098635037900797 [1639] [1640] 1.01193103654713168 | 1.01193103654713168 [1640] [1641] 1.03822201723563445 | 1.03822201723563445 [1641] [1642] 0.98332361948065983 | 0.98332361948065983 [1642] [1643] 0.98880066918420695 - 0.98880066918420662 [1643] ... ... ... and 3 more ... actual | expected [1652] 1.00398072399813687 | 1.00398072399813687 [1652] [1653] 1.01552787064995664 | 1.01552787064995664 [1653] [1654] 1.03221246755295226 | 1.03221246755295226 [1654] [1655] 0.99848999829152596 - 0.99848999829152540 [1655] [1656] 0.98338974537346902 - 0.98338974537346935 [1656] [1657] 1.02231733464505825 | 1.02231733464505825 [1657] [1658] 1.00498901071157487 | 1.00498901071157487 [1658] [1659] 0.99206061710207982 | 0.99206061710207982 [1659] actual | expected [1661] 1.03358124038294319 | 1.03358124038294319 [1661] [1662] 1.02916647617179957 | 1.02916647617179957 [1662] [1663] 1.04279595117796609 | 1.04279595117796609 [1663] [1664] 1.01102823019886578 - 1.01102823019886623 [1664] [1665] 1.01001644903668630 | 1.01001644903668630 [1665] [1666] 1.03114004285401917 | 1.03114004285401917 [1666] [1667] 1.01467401378231203 | 1.01467401378231203 [1667] actual | expected [1669] 1.01447234485363436 | 1.01447234485363436 [1669] [1670] 1.00973130721972915 | 1.00973130721972915 [1670] [1671] 1.01105698392160104 | 1.01105698392160104 [1671] [1672] 1.01039061694897869 - 1.01039061694897891 [1672] [1673] 1.02069649796293516 | 1.02069649796293516 [1673] [1674] 1.03101893092051511 | 1.03101893092051511 [1674] [1675] 0.99221013601724195 | 0.99221013601724195 [1675] [1676] 1.01734743851242504 | 1.01734743851242504 [1676] [1677] 0.97960906768920286 | 0.97960906768920286 [1677] [1678] 0.99131773825580927 - 0.99131773825580949 [1678] ... ... ... and 3 more ... actual | expected [1712] 0.99946208627754396 | 0.99946208627754396 [1712] [1713] 1.02168955592635591 | 1.02168955592635591 [1713] [1714] 1.00520912741827173 | 1.00520912741827173 [1714] [1715] 1.03572373107667492 - 1.03572373107667604 [1715] [1716] 1.00700155156671145 | 1.00700155156671145 [1716] [1717] 1.01072340279281137 | 1.01072340279281137 [1717] [1718] 0.99318361066194294 | 0.99318361066194294 [1718] actual | expected [1734] 1.01152302512180658 | 1.01152302512180658 [1734] [1735] 1.02795137903873512 | 1.02795137903873512 [1735] [1736] 1.04171376209719613 | 1.04171376209719613 [1736] [1737] 1.00542055755372894 - 1.00542055755372872 [1737] [1738] 1.02706046736824197 | 1.02706046736824197 [1738] [1739] 0.99390201862845617 | 0.99390201862845617 [1739] [1740] 1.02021699991816095 | 1.02021699991816095 [1740] [1741] 0.99014948886404563 | 0.99014948886404563 [1741] [1742] 1.00256103726495427 | 1.00256103726495427 [1742] [1743] 1.00517979804973057 - 1.00517979804973101 [1743] ... ... ... and 3 more ... actual | expected [1754] 1.02267025659564648 | 1.02267025659564648 [1754] [1755] 1.02000986369646096 | 1.02000986369646096 [1755] [1756] 1.02346631505348995 | 1.02346631505348995 [1756] [1757] 1.00558624891192538 - 1.00558624891192561 [1757] [1758] 0.98516408702378822 | 0.98516408702378822 [1758] [1759] 1.00142994005158403 | 1.00142994005158403 [1759] [1760] 1.01436523484834074 | 1.01436523484834074 [1760] [1761] 1.01932043803242389 | 1.01932043803242389 [1761] [1762] 0.99848755085510976 - 0.99848755085510954 [1762] [1763] 1.00069058793996746 | 1.00069058793996746 [1763] ... ... ... and 2 more ... actual | expected [1773] 1.00687875294420337 | 1.00687875294420337 [1773] [1774] 1.01152203755440895 | 1.01152203755440895 [1774] [1775] 0.99806667340189303 | 0.99806667340189303 [1775] [1776] 1.00411497555988349 - 1.00411497555988372 [1776] [1777] 1.01934821724536384 | 1.01934821724536384 [1777] [1778] 1.02456400566555805 | 1.02456400566555805 [1778] [1779] 1.02839142241316095 | 1.02839142241316095 [1779] actual | expected [1783] 1.01658542723856815 | 1.01658542723856815 [1783] [1784] 1.01418529444755312 | 1.01418529444755312 [1784] [1785] 1.03615869583922304 | 1.03615869583922304 [1785] [1786] 1.01121524429671372 - 1.01121524429671394 [1786] [1787] 1.02585095086495737 - 1.02585095086495781 [1787] [1788] 1.00815371417360677 | 1.00815371417360677 [1788] [1789] 1.03319177111451999 | 1.03319177111451999 [1789] [1790] 1.00321526601320055 | 1.00321526601320055 [1790] actual | expected [1795] 1.03800515342229205 | 1.03800515342229205 [1795] [1796] 1.03110717854149447 | 1.03110717854149447 [1796] [1797] 1.00131873276709293 | 1.00131873276709293 [1797] [1798] 1.03126063590117467 - 1.03126063590117445 [1798] [1799] 1.01940385510787945 | 1.01940385510787945 [1799] [1800] 1.00800780523405931 - 1.00800780523405975 [1800] [1801] 0.95505534750985344 | 0.95505534750985344 [1801] [1802] 1.00226587434339121 | 1.00226587434339121 [1802] [1803] 0.99352512813535887 | 0.99352512813535887 [1803] actual | expected [1809] 0.98901552084750610 | 0.98901552084750610 [1809] [1810] 0.99048773379354182 | 0.99048773379354182 [1810] [1811] 0.96192753988941215 | 0.96192753988941215 [1811] [1812] 0.97711718485854926 - 0.97711718485854948 [1812] [1813] 0.96983569762396404 | 0.96983569762396404 [1813] [1814] 0.97898548171694499 | 0.97898548171694499 [1814] [1815] 0.98674552330085030 | 0.98674552330085030 [1815] actual | expected [1826] 0.99148609950565769 | 0.99148609950565769 [1826] [1827] 0.97194572844521454 | 0.97194572844521454 [1827] [1828] 0.96868133968967596 | 0.96868133968967596 [1828] [1829] 0.97785025917752055 - 0.97785025917752033 [1829] [1830] 0.98362629550660186 | 0.98362629550660186 [1830] [1831] 0.98381409109090712 | 0.98381409109090712 [1831] [1832] 0.96909459630760086 | 0.96909459630760086 [1832] actual | expected [1838] 0.99640349803416006 | 0.99640349803416006 [1838] [1839] 0.97030642138214540 | 0.97030642138214540 [1839] [1840] 0.98992020098398548 | 0.98992020098398548 [1840] [1841] 0.95238270657987900 - 0.95238270657987933 [1841] [1842] 0.99075362734217742 | 0.99075362734217742 [1842] [1843] 1.00570619416048390 | 1.00570619416048390 [1843] [1844] 0.97969076040958780 | 0.97969076040958780 [1844] [1845] 0.97789187304695258 | 0.97789187304695258 [1845] [1846] 0.99133057251463852 - 0.99133057251463907 [1846] [1847] 0.96962967589608684 | 0.96962967589608684 [1847] ... ... ... and 2 more ... actual | expected [1852] 0.98655022447564067 | 0.98655022447564067 [1852] [1853] 0.97661229231890467 | 0.97661229231890467 [1853] [1854] 0.96686123129312374 | 0.96686123129312374 [1854] [1855] 0.97543111355331236 - 0.97543111355331136 [1855] [1856] 0.97192546128974666 | 0.97192546128974666 [1856] [1857] 0.97699289463815309 | 0.97699289463815309 [1857] [1858] 0.94247523348065465 | 0.94247523348065465 [1858] actual | expected [1866] 0.97461556497941604 | 0.97461556497941604 [1866] [1867] 0.96725228900552873 | 0.96725228900552873 [1867] [1868] 0.98397071580440132 | 0.98397071580440132 [1868] [1869] 0.99220197641597008 - 0.99220197641596930 [1869] [1870] 0.99755573042309609 | 0.99755573042309609 [1870] [1871] 0.97395243055835101 | 0.97395243055835101 [1871] [1872] 1.00591128688852693 | 1.00591128688852693 [1872] actual | expected [1878] 0.99096918572112846 | 0.99096918572112846 [1878] [1879] 0.99266586527112022 | 0.99266586527112022 [1879] [1880] 0.96934985710191335 | 0.96934985710191335 [1880] [1881] 0.97587744665927667 - 0.97587744665927656 [1881] [1882] 1.00575886901535361 | 1.00575886901535361 [1882] [1883] 0.98203104854703238 | 0.98203104854703238 [1883] [1884] 0.99143934314296778 | 0.99143934314296778 [1884] actual | expected [1892] 0.95662942484409341 | 0.95662942484409341 [1892] [1893] 0.97263602013999828 | 0.97263602013999828 [1893] [1894] 0.98157520583497715 | 0.98157520583497715 [1894] [1895] 0.98877640396691324 - 0.98877640396691258 [1895] [1896] 0.96601499850108952 | 0.96601499850108952 [1896] [1897] 1.00132348832978280 | 1.00132348832978280 [1897] [1898] 1.01287485121036669 | 1.01287485121036669 [1898] [1899] 0.98341956262871155 | 0.98341956262871155 [1899] [1900] 0.99163533176337859 | 0.99163533176337859 [1900] [1901] 0.97261838511004439 - 0.97261838511004473 [1901] ... ... ... and 3 more ... actual | expected [1906] 0.98203267949129613 | 0.98203267949129613 [1906] [1907] 0.97167618967873648 | 0.97167618967873648 [1907] [1908] 1.00002330391076311 | 1.00002330391076311 [1908] [1909] 1.00876426873345482 - 1.00876426873345459 [1909] [1910] 0.96755143538552868 | 0.96755143538552868 [1910] [1911] 0.98140356421591046 | 0.98140356421591046 [1911] [1912] 0.97414795932315745 | 0.97414795932315745 [1912] actual | expected [1913] 0.96921917331144392 | 0.96921917331144392 [1913] [1914] 0.97520083708321292 | 0.97520083708321292 [1914] [1915] 1.00747860130494171 | 1.00747860130494171 [1915] [1916] 0.98202793550514433 - 0.98202793550514444 [1916] [1917] 0.99278416006471071 | 0.99278416006471071 [1917] [1918] 0.96287192755365392 | 0.96287192755365392 [1918] [1919] 0.98849622572117224 | 0.98849622572117224 [1919] [1920] 0.95888851282316767 - 0.95888851282316778 [1920] [1921] 0.95942413660682535 | 0.95942413660682535 [1921] [1922] 0.98711191239744811 - 0.98711191239744889 [1922] ... ... ... and 5 more ... actual | expected [1934] 0.95809773771519147 | 0.95809773771519147 [1934] [1935] 0.97386532965406525 | 0.97386532965406525 [1935] [1936] 0.96765614414241452 | 0.96765614414241452 [1936] [1937] 0.93310987943467727 - 0.93310987943467716 [1937] [1938] 0.98796936990724249 | 0.98796936990724249 [1938] [1939] 0.97938100272345641 | 0.97938100272345641 [1939] [1940] 1.00476292744641604 | 1.00476292744641604 [1940] [1941] 0.99061840041795224 | 0.99061840041795224 [1941] [1942] 0.97035055548286708 | 0.97035055548286708 [1942] [1943] 0.98266027360823427 - 0.98266027360823449 [1943] ... ... ... and 3 more ... actual | expected [1952] 0.97915483518285473 | 0.97915483518285473 [1952] [1953] 0.99849656222969541 | 0.99849656222969541 [1953] [1954] 0.98409048367454388 | 0.98409048367454388 [1954] [1955] 0.96536473235778630 - 0.96536473235778597 [1955] [1956] 0.97252700629943156 - 0.97252700629943178 [1956] [1957] 0.99834053788329413 | 0.99834053788329413 [1957] [1958] 0.97401396716195909 | 0.97401396716195909 [1958] [1959] 0.97661537104539420 | 0.97661537104539420 [1959] actual | expected [1960] 0.94857834684923614 | 0.94857834684923614 [1960] [1961] 0.99146491999973974 | 0.99146491999973974 [1961] [1962] 0.98334296983431180 | 0.98334296983431180 [1962] [1963] 1.01521408681208136 - 1.01521408681208114 [1963] [1964] 0.97963735580810229 - 0.97963735580810174 [1964] [1965] 0.97136699639671920 | 0.97136699639671920 [1965] [1966] 0.98961665049278014 | 0.98961665049278014 [1966] [1967] 0.99859666740490127 | 0.99859666740490127 [1967] actual | expected [1975] 0.97344035472951185 | 0.97344035472951185 [1975] [1976] 0.95412230833192591 | 0.95412230833192591 [1976] [1977] 0.96425053688053020 | 0.96425053688053020 [1977] [1978] 0.96967361634211413 - 0.96967361634211402 [1978] [1979] 0.97875624442866171 | 0.97875624442866171 [1979] [1980] 0.95380002273972975 | 0.95380002273972975 [1980] [1981] 0.97684171876377701 | 0.97684171876377701 [1981] actual | expected [2012] 0.96363410304485519 | 0.96363410304485519 [2012] [2013] 0.96166034367169118 | 0.96166034367169118 [2013] [2014] 0.98186135279974807 | 0.98186135279974807 [2014] [2015] 1.03166598454692915 - 1.03166598454692937 [2015] [2016] 0.97778466762943339 | 0.97778466762943339 [2016] [2017] 0.96398297960532875 | 0.96398297960532875 [2017] [2018] 0.97469781414205248 | 0.97469781414205248 [2018] [2019] 0.97721232183817219 | 0.97721232183817219 [2019] [2020] 1.01359390822749673 | 1.01359390822749673 [2020] [2021] 0.99217230768862241 - 0.99217230768862208 [2021] ... ... ... and 3 more ... actual | expected [2025] 0.96517890604595158 | 0.96517890604595158 [2025] [2026] 0.94331240784737347 | 0.94331240784737347 [2026] [2027] 0.99010815032893229 | 0.99010815032893229 [2027] [2028] 1.00432140451572449 - 1.00432140451572405 [2028] [2029] 1.00249463129289884 | 1.00249463129289884 [2029] [2030] 0.95960623254321054 | 0.95960623254321054 [2030] [2031] 0.93157606616454003 | 0.93157606616454003 [2031] actual | expected [2040] 0.98675221827301340 | 0.98675221827301340 [2040] [2041] 0.97804629866074444 | 0.97804629866074444 [2041] [2042] 0.99211725027344166 | 0.99211725027344166 [2042] [2043] 0.97826964785995485 - 0.97826964785995507 [2043] [2044] 0.98754054903319910 | 0.98754054903319910 [2044] [2045] 0.95932339309910220 | 0.95932339309910220 [2045] [2046] 0.96393513089175809 - 0.96393513089175731 [2046] [2047] 0.99550089461555036 | 0.99550089461555036 [2047] [2048] 0.98687347963512939 - 0.98687347963512906 [2048] [2049] 0.96544824027445020 | 0.96544824027445020 [2049] ... ... ... and 2 more ... actual | expected [2054] 0.99639857063241655 | 0.99639857063241655 [2054] [2055] 1.01248070928923384 | 1.01248070928923384 [2055] [2056] 0.99306901118633095 | 0.99306901118633095 [2056] [2057] 0.98157544255033702 - 0.98157544255033680 [2057] [2058] 0.96629511913065347 | 0.96629511913065347 [2058] [2059] 0.98278410308019981 | 0.98278410308019981 [2059] [2060] 0.99199818555461305 | 0.99199818555461305 [2060] [2061] 0.99698698448664969 | 0.99698698448664969 [2061] [2062] 0.95695135206641124 - 0.95695135206641102 [2062] [2063] 0.98759915904857154 | 0.98759915904857154 [2063] ... ... ... and 8 more ... actual | expected [2073] 0.96135261517521675 | 0.96135261517521675 [2073] [2074] 0.98895024632874173 | 0.98895024632874173 [2074] [2075] 0.99749187468330192 | 0.99749187468330192 [2075] [2076] 0.95216753099230877 - 0.95216753099230855 [2076] [2077] 0.95903918111022579 | 0.95903918111022579 [2077] [2078] 0.98028887701626621 | 0.98028887701626621 [2078] [2079] 1.00329185257976028 | 1.00329185257976028 [2079] actual | expected [2082] 0.97331306716922605 | 0.97331306716922605 [2082] [2083] 0.98002868820938183 | 0.98002868820938183 [2083] [2084] 0.97690094101087621 | 0.97690094101087621 [2084] [2085] 0.99365598703463009 - 0.99365598703462965 [2085] [2086] 0.97933454530264874 - 0.97933454530264830 [2086] [2087] 1.00694170367401314 - 1.00694170367401403 [2087] [2088] 0.97590934249198336 | 0.97590934249198336 [2088] [2089] 0.98563161125189513 | 0.98563161125189513 [2089] [2090] 0.98258341477477873 | 0.98258341477477873 [2090] actual | expected [2094] 0.95862045388340733 | 0.95862045388340733 [2094] [2095] 1.00527868247570162 | 1.00527868247570162 [2095] [2096] 0.97797867065464017 | 0.97797867065464017 [2096] [2097] 0.98225420741373315 - 0.98225420741373370 [2097] [2098] 0.96102131636187227 | 0.96102131636187227 [2098] [2099] 0.99448397014043566 | 0.99448397014043566 [2099] [2100] 0.97503211831517123 - 0.97503211831517145 [2100] [2101] 0.94443202492846190 | 0.94443202492846190 [2101] [2102] 0.96898549374271425 | 0.96898549374271425 [2102] [2103] 0.95219800342017769 | 0.95219800342017769 [2103] ... ... ... and 14 more ... actual | expected [2126] 0.95602367171518887 | 0.95602367171518887 [2126] [2127] 0.93322919175205510 | 0.93322919175205510 [2127] [2128] 0.96796101629252362 | 0.96796101629252362 [2128] [2129] 0.94809219257329624 - 0.94809219257329647 [2129] [2130] 0.95648199323272143 | 0.95648199323272143 [2130] [2131] 0.94197128862583501 | 0.94197128862583501 [2131] [2132] 0.93337432827061162 | 0.93337432827061162 [2132] actual | expected [2138] 0.91210598629117801 | 0.91210598629117801 [2138] [2139] 0.96286374195491309 | 0.96286374195491309 [2139] [2140] 0.92921166473572925 | 0.92921166473572925 [2140] [2141] 0.94426091080752639 - 0.94426091080752672 [2141] [2142] 0.98308672350799509 | 0.98308672350799509 [2142] [2143] 0.93062815086347594 | 0.93062815086347594 [2143] [2144] 0.94668750571390170 | 0.94668750571390170 [2144] [2145] 0.92058934494654610 | 0.92058934494654610 [2145] [2146] 0.98091181077087730 - 0.98091181077087652 [2146] [2147] 0.95592030873868794 | 0.95592030873868794 [2147] ... ... ... and 2 more ... actual | expected [2152] 0.97162576038430559 | 0.97162576038430559 [2152] [2153] 0.94946682717457609 | 0.94946682717457609 [2153] [2154] 0.94276930903371170 | 0.94276930903371170 [2154] [2155] 0.95946555539083600 - 0.95946555539083589 [2155] [2156] 0.94720390166328960 | 0.94720390166328960 [2156] [2157] 0.94164498429438970 | 0.94164498429438970 [2157] [2158] 0.93659339283736709 | 0.93659339283736709 [2158] actual | expected [2166] 0.93817576892333099 | 0.93817576892333099 [2166] [2167] 0.95461462873516889 | 0.95461462873516889 [2167] [2168] 0.94751722850277731 | 0.94751722850277731 [2168] [2169] 0.92492511444794090 - 0.92492511444794068 [2169] [2170] 0.96157010815203203 | 0.96157010815203203 [2170] [2171] 0.94797540694577931 | 0.94797540694577931 [2171] [2172] 0.97324877155553724 | 0.97324877155553724 [2172] actual | expected [2178] 0.94238957812825119 | 0.94238957812825119 [2178] [2179] 0.95786804652405277 | 0.95786804652405277 [2179] [2180] 0.94476932064765884 | 0.94476932064765884 [2180] [2181] 0.94957476427270249 - 0.94957476427270282 [2181] [2182] 0.95684050909957663 | 0.95684050909957663 [2182] [2183] 0.95838802036783843 | 0.95838802036783843 [2183] [2184] 0.93823938864413936 | 0.93823938864413936 [2184] actual | expected [2192] 0.93528299654641645 | 0.93528299654641645 [2192] [2193] 0.95831920825746808 | 0.95831920825746808 [2193] [2194] 0.96055372423916319 | 0.96055372423916319 [2194] [2195] 0.95623542037637843 - 0.95623542037637876 [2195] [2196] 0.95522683945505926 | 0.95522683945505926 [2196] [2197] 0.94217441515441014 | 0.94217441515441014 [2197] [2198] 0.98176168102161110 | 0.98176168102161110 [2198] [2199] 0.96332738803846485 | 0.96332738803846485 [2199] [2200] 0.93684339678243655 | 0.93684339678243655 [2200] [2201] 0.93493514632002184 - 0.93493514632002217 [2201] ... ... ... and 3 more ... actual | expected [2206] 0.92796354740462372 | 0.92796354740462372 [2206] [2207] 0.96822221678039799 | 0.96822221678039799 [2207] [2208] 0.95555806015645839 | 0.95555806015645839 [2208] [2209] 0.93049374732928214 - 0.93049374732928225 [2209] [2210] 0.94199638944004283 | 0.94199638944004283 [2210] [2211] 0.96760656079386986 | 0.96760656079386986 [2211] [2212] 0.94460039826410491 | 0.94460039826410491 [2212] actual | expected [2213] 0.92873450304493588 | 0.92873450304493588 [2213] [2214] 0.96279616752883346 | 0.96279616752883346 [2214] [2215] 0.95923335767882922 | 0.95923335767882922 [2215] [2216] 0.93050381339314259 - 0.93050381339314303 [2216] [2217] 0.94538370150347284 | 0.94538370150347284 [2217] [2218] 0.93895760037541720 | 0.93895760037541720 [2218] [2219] 0.93268169911817422 | 0.93268169911817422 [2219] [2220] 0.95279393111384381 - 0.95279393111384492 [2220] [2221] 0.94329330081953833 | 0.94329330081953833 [2221] [2222] 0.94667755350572158 - 0.94667755350572147 [2222] ... ... ... and 5 more ... actual | expected [2234] 0.93738337738666078 | 0.93738337738666078 [2234] [2235] 0.94260649243526418 | 0.94260649243526418 [2235] [2236] 0.94402237725229521 | 0.94402237725229521 [2236] [2237] 0.93114790163257444 - 0.93114790163257433 [2237] [2238] 0.96039096588657946 | 0.96039096588657946 [2238] [2239] 0.96001196963311097 | 0.96001196963311097 [2239] [2240] 0.96367523962352986 | 0.96367523962352986 [2240] [2241] 0.96030235048918011 | 0.96030235048918011 [2241] [2242] 0.92626990297735046 | 0.92626990297735046 [2242] [2243] 0.95756075030233767 - 0.95756075030233778 [2243] ... ... ... and 3 more ... actual | expected [2252] 0.95682577198377072 | 0.95682577198377072 [2252] [2253] 0.97037030435860905 | 0.97037030435860905 [2253] [2254] 0.93652065390538386 | 0.93652065390538386 [2254] [2255] 0.94186081185792336 - 0.94186081185792325 [2255] [2256] 0.93427257648875484 | 0.93427257648875484 [2256] [2257] 0.95825210581929654 | 0.95825210581929654 [2257] [2258] 0.94555979888004638 | 0.94555979888004638 [2258] actual | expected [2260] 0.93342890981172044 | 0.93342890981172044 [2260] [2261] 0.95577026013619559 | 0.95577026013619559 [2261] [2262] 0.95058707560040467 | 0.95058707560040467 [2262] [2263] 0.96768164074838847 - 0.96768164074838758 [2263] [2264] 0.96299578524034479 - 0.96299578524034435 [2264] [2265] 0.96208943661650259 | 0.96208943661650259 [2265] [2266] 0.94220874832976798 | 0.94220874832976798 [2266] [2267] 0.95655106109675003 | 0.95655106109675003 [2267] actual | expected [2269] 0.93487665278425347 | 0.93487665278425347 [2269] [2270] 0.96102898345777787 | 0.96102898345777787 [2270] [2271] 0.95762582269535124 | 0.95762582269535124 [2271] [2272] 0.94968011238332428 - 0.94968011238332406 [2272] [2273] 0.93838482509078780 | 0.93838482509078780 [2273] [2274] 0.96464803956419765 | 0.96464803956419765 [2274] [2275] 0.90080119183117602 | 0.90080119183117602 [2275] [2276] 0.94149144939849660 | 0.94149144939849660 [2276] [2277] 0.94141296300620958 | 0.94141296300620958 [2277] [2278] 0.96545430288082634 - 0.96545430288082668 [2278] ... ... ... and 3 more ... actual | expected [2312] 0.94620178096801888 | 0.94620178096801888 [2312] [2313] 0.94696085468325153 | 0.94696085468325153 [2313] [2314] 0.95980599902909758 | 0.95980599902909758 [2314] [2315] 0.99488923130806994 - 0.99488923130806950 [2315] [2316] 0.96149082617184523 | 0.96149082617184523 [2316] [2317] 0.92916508374191931 | 0.92916508374191931 [2317] [2318] 0.94744518793532873 | 0.94744518793532873 [2318] [2319] 0.94451975221680196 | 0.94451975221680196 [2319] [2320] 0.94794345570360394 | 0.94794345570360394 [2320] [2321] 0.96121950502800546 - 0.96121950502800502 [2321] ... ... ... and 3 more ... actual | expected [2325] 0.96027867512739962 | 0.96027867512739962 [2325] [2326] 0.92872147104958525 | 0.92872147104958525 [2326] [2327] 0.95719865947196658 | 0.95719865947196658 [2327] [2328] 0.96512486047813750 - 0.96512486047813684 [2328] [2329] 0.95878184022451718 | 0.95878184022451718 [2329] [2330] 0.94268244263706003 | 0.94268244263706003 [2330] [2331] 0.92183088820547454 | 0.92183088820547454 [2331] actual | expected [2334] 0.94490347009175535 | 0.94490347009175535 [2334] [2335] 0.92814371438902887 | 0.92814371438902887 [2335] [2336] 0.93929957194557401 | 0.93929957194557401 [2336] [2337] 0.94094697886594791 - 0.94094697886594780 [2337] [2338] 0.98644193056498020 | 0.98644193056498020 [2338] [2339] 0.93650045310556729 | 0.93650045310556729 [2339] [2340] 0.96658334284526259 | 0.96658334284526259 [2340] [2341] 0.93825344944679356 | 0.93825344944679356 [2341] [2342] 0.97002350226264311 | 0.97002350226264311 [2342] [2343] 0.93411640689061359 - 0.93411640689061370 [2343] ... ... ... and 8 more ... actual | expected [2354] 0.97796011145591599 | 0.97796011145591599 [2354] [2355] 0.92070623671395824 | 0.92070623671395824 [2355] [2356] 0.94358602901924638 | 0.94358602901924638 [2356] [2357] 0.94834923272304206 - 0.94834923272304217 [2357] [2358] 0.95498351250413693 | 0.95498351250413693 [2358] [2359] 0.93933171610263100 | 0.93933171610263100 [2359] [2360] 0.97151569467372001 | 0.97151569467372001 [2360] [2361] 0.93922069698784705 | 0.93922069698784705 [2361] [2362] 0.94980391318940938 - 0.94980391318940949 [2362] [2363] 0.95526577643438304 | 0.95526577643438304 [2363] ... ... ... and 8 more ... actual | expected [2373] 0.95744673903845201 | 0.95744673903845201 [2373] [2374] 0.97216537619941823 | 0.97216537619941823 [2374] [2375] 0.97842291599813969 | 0.97842291599813969 [2375] [2376] 0.93802679480301410 - 0.93802679480301432 [2376] [2377] 0.91806330101255829 | 0.91806330101255829 [2377] [2378] 0.94892849269296942 | 0.94892849269296942 [2378] [2379] 0.92792215662553079 | 0.92792215662553079 [2379] actual | expected [2382] 0.92514890662727489 | 0.92514890662727489 [2382] [2383] 0.95147896977065816 | 0.95147896977065816 [2383] [2384] 0.93974769061795860 | 0.93974769061795860 [2384] [2385] 0.97235403334451009 - 0.97235403334450965 [2385] [2386] 0.96251033119415663 - 0.96251033119415708 [2386] [2387] 0.94116644578383679 - 0.94116644578383746 [2387] [2388] 0.97166933092341978 | 0.97166933092341978 [2388] [2389] 0.92751857921451264 | 0.92751857921451264 [2389] [2390] 0.94758116319690633 | 0.94758116319690633 [2390] actual | expected [2394] 0.93753741429196724 | 0.93753741429196724 [2394] [2395] 0.94341371833265530 | 0.94341371833265530 [2395] [2396] 0.94847418018280982 | 0.94847418018280982 [2396] [2397] 0.96005283047970258 - 0.96005283047970236 [2397] [2398] 0.95277529613584000 | 0.95277529613584000 [2398] [2399] 0.96883251967814132 | 0.96883251967814132 [2399] [2400] 0.95965706914304194 - 0.95965706914304183 [2400] [2401] 0.92149200673983056 | 0.92149200673983056 [2401] [2402] 0.92039139602153153 | 0.92039139602153153 [2402] [2403] 0.91455579602261938 | 0.91455579602261938 [2403] ... ... ... and 14 more ... actual | expected [2426] 0.92531882425364909 | 0.92531882425364909 [2426] [2427] 0.92299168702612178 | 0.92299168702612178 [2427] [2428] 0.93335163538195554 | 0.93335163538195554 [2428] [2429] 0.92180820502759075 - 0.92180820502759098 [2429] [2430] 0.93320745159713259 | 0.93320745159713259 [2430] [2431] 0.90224636457683804 | 0.90224636457683804 [2431] [2432] 0.91676473727305752 | 0.91676473727305752 [2432] actual | expected [2438] 0.88833130250666925 | 0.88833130250666925 [2438] [2439] 0.90045216550571172 | 0.90045216550571172 [2439] [2440] 0.91041325083109903 | 0.91041325083109903 [2440] [2441] 0.91820082520051294 - 0.91820082520051249 [2441] [2442] 0.91873034376541041 | 0.91873034376541041 [2442] [2443] 0.90595198155897061 | 0.90595198155897061 [2443] [2444] 0.91553886320235622 | 0.91553886320235622 [2444] [2445] 0.91061845221992743 | 0.91061845221992743 [2445] [2446] 0.93376448363878128 - 0.93376448363878117 [2446] [2447] 0.91767522968485582 | 0.91767522968485582 [2447] ... ... ... and 2 more ... actual | expected [2452] 0.92903003064380574 | 0.92903003064380574 [2452] [2453] 0.92928552517219321 | 0.92928552517219321 [2453] [2454] 0.93485432067083452 | 0.93485432067083452 [2454] [2455] 0.90877711396348815 - 0.90877711396348793 [2455] [2456] 0.90978455107204270 | 0.90978455107204270 [2456] [2457] 0.91008805223723821 | 0.91008805223723821 [2457] [2458] 0.90949772216961722 | 0.90949772216961722 [2458] actual | expected [2466] 0.92763248321774883 | 0.92763248321774883 [2466] [2467] 0.95190152261884187 | 0.95190152261884187 [2467] [2468] 0.92523367920997268 | 0.92523367920997268 [2468] [2469] 0.91400665833038353 - 0.91400665833038408 [2469] [2470] 0.94226397883234647 | 0.94226397883234647 [2470] [2471] 0.93174741407669071 | 0.93174741407669071 [2471] [2472] 0.89838605668911298 | 0.89838605668911298 [2472] actual | expected [2478] 0.92895499647294477 | 0.92895499647294477 [2478] [2479] 0.90931708945004963 | 0.90931708945004963 [2479] [2480] 0.92639425789438057 | 0.92639425789438057 [2480] [2481] 0.90786072991519173 - 0.90786072991519162 [2481] [2482] 0.90589402118069262 | 0.90589402118069262 [2482] [2483] 0.91962351419672450 | 0.91962351419672450 [2483] [2484] 0.91651784226724753 | 0.91651784226724753 [2484] actual | expected [2489] 0.94111705227327980 | 0.94111705227327980 [2489] [2490] 0.89067718414397345 | 0.89067718414397345 [2490] [2491] 0.89001268403725531 | 0.89001268403725531 [2491] [2492] 0.92440069402452041 - 0.92440069402452107 [2492] [2493] 0.92789845618175781 | 0.92789845618175781 [2493] [2494] 0.92923951400422911 | 0.92923951400422911 [2494] [2495] 0.92922009847646492 | 0.92922009847646492 [2495] actual | expected [2498] 0.90854136286370879 | 0.90854136286370879 [2498] [2499] 0.91529549694625190 | 0.91529549694625190 [2499] [2500] 0.90925979284016600 | 0.90925979284016600 [2500] [2501] 0.91241392795028875 - 0.91241392795028897 [2501] [2502] 0.93022302451128502 | 0.93022302451128502 [2502] [2503] 0.94073182639526165 | 0.94073182639526165 [2503] [2504] 0.92079095897421059 | 0.92079095897421059 [2504] [2505] 0.90560284102546862 | 0.90560284102546862 [2505] [2506] 0.90297057616002685 | 0.90297057616002685 [2506] [2507] 0.95016139615570649 - 0.95016139615570661 [2507] ... ... ... and 3 more ... actual | expected [2513] 0.91144852561290535 | 0.91144852561290535 [2513] [2514] 0.92668185178794837 | 0.92668185178794837 [2514] [2515] 0.92163891804438403 | 0.92163891804438403 [2515] [2516] 0.91455432399894476 - 0.91455432399894454 [2516] [2517] 0.92393042910563972 | 0.92393042910563972 [2517] [2518] 0.93333484653603371 | 0.93333484653603371 [2518] [2519] 0.92082234974429111 | 0.92082234974429111 [2519] [2520] 0.91104361063737216 - 0.91104361063737205 [2520] [2521] 0.89875292307057786 | 0.89875292307057786 [2521] [2522] 0.91219257655209296 - 0.91219257655209274 [2522] ... ... ... and 5 more ... actual | expected [2534] 0.90333251419454774 | 0.90333251419454774 [2534] [2535] 0.91132893509473945 | 0.91132893509473945 [2535] [2536] 0.91546506187459786 | 0.91546506187459786 [2536] [2537] 0.91510565628304719 - 0.91510565628304708 [2537] [2538] 0.92435256668060539 | 0.92435256668060539 [2538] [2539] 0.91358457021742290 | 0.91358457021742290 [2539] [2540] 0.93216801494584345 | 0.93216801494584345 [2540] [2541] 0.91320170533905110 | 0.91320170533905110 [2541] [2542] 0.91181170621500673 | 0.91181170621500673 [2542] [2543] 0.90969434254553028 - 0.90969434254552983 [2543] ... ... ... and 3 more ... actual | expected [2552] 0.93490198313242445 | 0.93490198313242445 [2552] [2553] 0.91885812109282949 | 0.91885812109282949 [2553] [2554] 0.90417840060438215 | 0.90417840060438215 [2554] [2555] 0.91173672199772215 - 0.91173672199772260 [2555] [2556] 0.91384040301462099 - 0.91384040301462066 [2556] [2557] 0.91019723436877165 | 0.91019723436877165 [2557] [2558] 0.89991767147049184 | 0.89991767147049184 [2558] [2559] 0.92951087292309953 | 0.92951087292309953 [2559] actual | expected [2560] 0.90520383795430770 | 0.90520383795430770 [2560] [2561] 0.94354087200151715 | 0.94354087200151715 [2561] [2562] 0.92552801359106351 | 0.92552801359106351 [2562] [2563] 0.92971204583474121 - 0.92971204583474010 [2563] [2564] 0.91760233300721017 - 0.91760233300721050 [2564] [2565] 0.92854413847534523 | 0.92854413847534523 [2565] [2566] 0.92432863462812509 | 0.92432863462812509 [2566] [2567] 0.89301988344653527 | 0.89301988344653527 [2567] actual | expected [2569] 0.92095016919518258 | 0.92095016919518258 [2569] [2570] 0.94575111241767973 | 0.94575111241767973 [2570] [2571] 0.88203309874565239 | 0.88203309874565239 [2571] [2572] 0.91247859809791065 - 0.91247859809791054 [2572] [2573] 0.92226155602342141 | 0.92226155602342141 [2573] [2574] 0.93578807838741429 | 0.93578807838741429 [2574] [2575] 0.87219537158666038 | 0.87219537158666038 [2575] [2576] 0.89467171353438457 | 0.89467171353438457 [2576] [2577] 0.93087657776138200 | 0.93087657776138200 [2577] [2578] 0.90972395204693002 - 0.90972395204693013 [2578] ... ... ... and 3 more ... actual | expected [2612] 0.93951108648486414 | 0.93951108648486414 [2612] [2613] 0.92978373937199810 | 0.92978373937199810 [2613] [2614] 0.94788351346744582 | 0.94788351346744582 [2614] [2615] 0.88638469075216875 - 0.88638469075216852 [2615] [2616] 0.91686207763703076 | 0.91686207763703076 [2616] [2617] 0.88213141932892569 | 0.88213141932892569 [2617] [2618] 0.91012301741173318 | 0.91012301741173318 [2618] [2619] 0.93785565795424763 | 0.93785565795424763 [2619] [2620] 0.91039040653386727 | 0.91039040653386727 [2620] [2621] 0.89694696542950214 - 0.89694696542950236 [2621] ... ... ... and 3 more ... actual | expected [2625] 0.89749688009953310 | 0.89749688009953310 [2625] [2626] 0.89831722211437048 | 0.89831722211437048 [2626] [2627] 0.92549280501818476 | 0.92549280501818476 [2627] [2628] 0.91239792077409776 - 0.91239792077409765 [2628] [2629] 0.90460916221694154 | 0.90460916221694154 [2629] [2630] 0.89917069076825440 | 0.89917069076825440 [2630] [2631] 0.90476152589780512 | 0.90476152589780512 [2631] actual | expected [2634] 0.91638574405579676 | 0.91638574405579676 [2634] [2635] 0.89971439387212482 | 0.89971439387212482 [2635] [2636] 0.90964793040373348 | 0.90964793040373348 [2636] [2637] 0.91489132314009236 - 0.91489132314009225 [2637] [2638] 0.88157445710017646 | 0.88157445710017646 [2638] [2639] 0.90926430365707211 | 0.90926430365707211 [2639] [2640] 0.90324755806108004 | 0.90324755806108004 [2640] [2641] 0.92136340085669566 | 0.92136340085669566 [2641] [2642] 0.93320363557880182 | 0.93320363557880182 [2642] [2643] 0.91071678552275526 - 0.91071678552275515 [2643] ... ... ... and 8 more ... actual | expected [2659] 0.92808873312713680 | 0.92808873312713680 [2659] [2660] 0.92525037966523827 | 0.92525037966523827 [2660] [2661] 0.91879790402481509 | 0.91879790402481509 [2661] [2662] 0.92731875870985803 - 0.92731875870985736 [2662] [2663] 0.92906295035896236 | 0.92906295035896236 [2663] [2664] 0.91535067132969250 | 0.91535067132969250 [2664] [2665] 0.88936782515564150 | 0.88936782515564150 [2665] [2666] 0.89743705136541885 | 0.89743705136541885 [2666] [2667] 0.93189838780585255 | 0.93189838780585255 [2667] [2668] 0.89172044630555369 - 0.89172044630555358 [2668] ... ... ... and 3 more ... actual | expected [2673] 0.90767544374252440 | 0.90767544374252440 [2673] [2674] 0.91521110421092067 | 0.91521110421092067 [2674] [2675] 0.93558822880109116 | 0.93558822880109116 [2675] [2676] 0.89420236420328980 - 0.89420236420329047 [2676] [2677] 0.87847106248081386 | 0.87847106248081386 [2677] [2678] 0.92303154083982175 | 0.92303154083982175 [2678] [2679] 0.90895275863605207 | 0.90895275863605207 [2679] actual | expected [2683] 0.91879876769048485 | 0.91879876769048485 [2683] [2684] 0.90648570781877602 | 0.90648570781877602 [2684] [2685] 0.90858615691255218 | 0.90858615691255218 [2685] [2686] 0.91643113211266169 - 0.91643113211266181 [2686] [2687] 0.90850464877371562 | 0.90850464877371562 [2687] [2688] 0.96455615191999777 | 0.96455615191999777 [2688] [2689] 0.89924985670158497 | 0.89924985670158497 [2689] actual | expected [2694] 0.91515520619332513 | 0.91515520619332513 [2694] [2695] 0.89952982054057229 | 0.89952982054057229 [2695] [2696] 0.90906735050973431 | 0.90906735050973431 [2696] [2697] 0.92827036467549251 - 0.92827036467549218 [2697] [2698] 0.89878773675044554 | 0.89878773675044554 [2698] [2699] 0.91836940255911914 | 0.91836940255911914 [2699] [2700] 0.91850710850775763 - 0.91850710850775774 [2700] [2701] 0.89767717838829009 | 0.89767717838829009 [2701] [2702] 0.86290847360294543 | 0.86290847360294543 [2702] [2703] 0.89649026285472055 | 0.89649026285472055 [2703] ... ... ... and 14 more ... actual | expected [2726] 0.89935719725172847 | 0.89935719725172847 [2726] [2727] 0.87307160585932342 | 0.87307160585932342 [2727] [2728] 0.84513422909718816 | 0.84513422909718816 [2728] [2729] 0.91043862505669315 - 0.91043862505669282 [2729] [2730] 0.87747005645310405 | 0.87747005645310405 [2730] [2731] 0.86173606941639735 | 0.86173606941639735 [2731] [2732] 0.90699453318650280 | 0.90699453318650280 [2732] actual | expected [2738] 0.87954124247055010 | 0.87954124247055010 [2738] [2739] 0.87910367696936076 | 0.87910367696936076 [2739] [2740] 0.88577022461168353 | 0.88577022461168353 [2740] [2741] 0.91017326022116951 - 0.91017326022116929 [2741] [2742] 0.86944908346315042 | 0.86944908346315042 [2742] [2743] 0.88229711706927316 | 0.88229711706927316 [2743] [2744] 0.90330113659348987 | 0.90330113659348987 [2744] [2745] 0.89404723912244077 | 0.89404723912244077 [2745] [2746] 0.90372661000174903 - 0.90372661000174936 [2746] [2747] 0.89377087918623910 | 0.89377087918623910 [2747] ... ... ... and 2 more ... actual | expected [2752] 0.91386478305172836 | 0.91386478305172836 [2752] [2753] 0.88165699750706161 | 0.88165699750706161 [2753] [2754] 0.89353939543460092 | 0.89353939543460092 [2754] [2755] 0.90094795077695677 - 0.90094795077695655 [2755] [2756] 0.90095216785837029 | 0.90095216785837029 [2756] [2757] 0.89161384659603871 | 0.89161384659603871 [2757] [2758] 0.88309642326709015 | 0.88309642326709015 [2758] actual | expected [2789] 0.91625966195149577 | 0.91625966195149577 [2789] [2790] 0.85162337847688208 | 0.85162337847688208 [2790] [2791] 0.87521969814872635 | 0.87521969814872635 [2791] [2792] 0.89231342737858099 - 0.89231342737858066 [2792] [2793] 0.90280135094100367 | 0.90280135094100367 [2793] [2794] 0.88905489073443256 | 0.88905489073443256 [2794] [2795] 0.87469193691276959 - 0.87469193691276914 [2795] [2796] 0.89836078331712588 | 0.89836078331712588 [2796] [2797] 0.87893535841981896 | 0.87893535841981896 [2797] [2798] 0.86395908675187882 | 0.86395908675187882 [2798] ... ... ... and 14 more ... actual | expected [2813] 0.88926030510793530 | 0.88926030510793530 [2813] [2814] 0.90322692692842543 | 0.90322692692842543 [2814] [2815] 0.90027762601024675 | 0.90027762601024675 [2815] [2816] 0.87057746494541999 - 0.87057746494541977 [2816] [2817] 0.88808112522864235 | 0.88808112522864235 [2817] [2818] 0.91370170121593386 | 0.91370170121593386 [2818] [2819] 0.90317270872268829 | 0.90317270872268829 [2819] [2820] 0.89276643289560953 - 0.89276643289561008 [2820] [2821] 0.88249413830494050 | 0.88249413830494050 [2821] [2822] 0.87932717297819607 - 0.87932717297819618 [2822] ... ... ... and 5 more ... actual | expected [2834] 0.89308188249619558 | 0.89308188249619558 [2834] [2835] 0.88760227888234766 | 0.88760227888234766 [2835] [2836] 0.89698181528425591 | 0.89698181528425591 [2836] [2837] 0.89453207114642863 - 0.89453207114642896 [2837] [2838] 0.89835162517448275 | 0.89835162517448275 [2838] [2839] 0.89864921115635454 | 0.89864921115635454 [2839] [2840] 0.91373899018100169 | 0.91373899018100169 [2840] [2841] 0.86885895890431608 | 0.86885895890431608 [2841] [2842] 0.87227686099488666 | 0.87227686099488666 [2842] [2843] 0.88316817276106774 - 0.88316817276106740 [2843] ... ... ... and 3 more ... actual | expected [2852] 0.86301836682216237 | 0.86301836682216237 [2852] [2853] 0.87385209810934650 | 0.87385209810934650 [2853] [2854] 0.88943908426860629 | 0.88943908426860629 [2854] [2855] 0.87840833215870529 - 0.87840833215870540 [2855] [2856] 0.88316095284637974 - 0.88316095284637985 [2856] [2857] 0.84869642874057027 | 0.84869642874057027 [2857] [2858] 0.85927576230296010 | 0.85927576230296010 [2858] [2859] 0.86843237800667883 | 0.86843237800667883 [2859] actual | expected [2860] 0.85661314210898198 | 0.85661314210898198 [2860] [2861] 0.87105713008857977 | 0.87105713008857977 [2861] [2862] 0.90123704612164868 | 0.90123704612164868 [2862] [2863] 0.86931749820227366 - 0.86931749820227355 [2863] [2864] 0.89007490031990188 - 0.89007490031990222 [2864] [2865] 0.89367341751269813 | 0.89367341751269813 [2865] [2866] 0.87311549584580517 | 0.87311549584580517 [2866] [2867] 0.86325103646536450 | 0.86325103646536450 [2867] actual | expected [2869] 0.88826891051043744 | 0.88826891051043744 [2869] [2870] 0.92024344811442793 | 0.92024344811442793 [2870] [2871] 0.83958015446689782 | 0.83958015446689782 [2871] [2872] 0.89558038436754306 - 0.89558038436754273 [2872] [2873] 0.85458524037905104 | 0.85458524037905104 [2873] [2874] 0.91320370881843826 | 0.91320370881843826 [2874] [2875] 0.85925626349292805 | 0.85925626349292805 [2875] [2876] 0.88497740054308571 | 0.88497740054308571 [2876] [2877] 0.85765296221159393 | 0.85765296221159393 [2877] [2878] 0.87441184468194499 - 0.87441184468194488 [2878] ... ... ... and 3 more ... actual | expected [2918] 0.90190206503151438 | 0.90190206503151438 [2918] [2919] 0.90289796540856371 | 0.90289796540856371 [2919] [2920] 0.84724105092914048 | 0.84724105092914048 [2920] [2921] 0.89396931738938978 - 0.89396931738939034 [2921] [2922] 0.87934666117329796 | 0.87934666117329796 [2922] [2923] 0.90618408148916518 | 0.90618408148916518 [2923] [2924] 0.87002359987416655 | 0.87002359987416655 [2924] actual | expected [2925] 0.86732964931396594 | 0.86732964931396594 [2925] [2926] 0.85336046160600643 | 0.85336046160600643 [2926] [2927] 0.90214072357628938 | 0.90214072357628938 [2927] [2928] 0.86782775247573196 - 0.86782775247573185 [2928] [2929] 0.87667970433973863 | 0.87667970433973863 [2929] [2930] 0.87532660751440272 | 0.87532660751440272 [2930] [2931] 0.85277387415309092 | 0.85277387415309092 [2931] actual | expected [2943] 0.90750876336656461 | 0.90750876336656461 [2943] [2944] 0.91873977430696696 | 0.91873977430696696 [2944] [2945] 0.86282291108220077 | 0.86282291108220077 [2945] [2946] 0.90239985816071933 - 0.90239985816072033 [2946] [2947] 0.90590266331925740 | 0.90590266331925740 [2947] [2948] 0.89686345831956660 - 0.89686345831956649 [2948] [2949] 0.87638674916722148 | 0.87638674916722148 [2949] [2950] 0.87047680699581831 | 0.87047680699581831 [2950] [2951] 0.89307430935972854 | 0.89307430935972854 [2951] actual | expected [2954] 0.89684040744230886 | 0.89684040744230886 [2954] [2955] 0.88398661242304288 | 0.88398661242304288 [2955] [2956] 0.89520887057857612 | 0.89520887057857612 [2956] [2957] 0.88259598568828612 - 0.88259598568828623 [2957] [2958] 0.90653847331321147 | 0.90653847331321147 [2958] [2959] 0.90589463373949841 | 0.90589463373949841 [2959] [2960] 0.90539802044767781 | 0.90539802044767781 [2960] actual | expected [2965] 0.87774219347321003 | 0.87774219347321003 [2965] [2966] 0.88124495546588799 | 0.88124495546588799 [2966] [2967] 0.87475305470841980 | 0.87475305470841980 [2967] [2968] 0.86574605139260663 - 0.86574605139260674 [2968] [2969] 0.86568418390547641 | 0.86568418390547641 [2969] [2970] 0.85345329059119113 | 0.85345329059119113 [2970] [2971] 0.88210325971089365 | 0.88210325971089365 [2971] actual | expected [2973] 0.86221441969259505 | 0.86221441969259505 [2973] [2974] 0.87988131505153078 | 0.87988131505153078 [2974] [2975] 0.87746252391702506 | 0.87746252391702506 [2975] [2976] 0.88016181623805523 - 0.88016181623805501 [2976] [2977] 0.87489463836385961 | 0.87489463836385961 [2977] [2978] 0.88903960539916915 | 0.88903960539916915 [2978] [2979] 0.86665892574692416 | 0.86665892574692416 [2979] actual | expected [2982] 0.84454549244552879 | 0.84454549244552879 [2982] [2983] 0.89196982360737231 | 0.89196982360737231 [2983] [2984] 0.87338809356668257 | 0.87338809356668257 [2984] [2985] 0.84222100164660219 - 0.84222100164660196 [2985] [2986] 0.90568207431243286 - 0.90568207431243297 [2986] [2987] 0.86801570870654532 - 0.86801570870654610 [2987] [2988] 0.85187694593296626 | 0.85187694593296626 [2988] [2989] 0.86214937164551497 | 0.86214937164551497 [2989] [2990] 0.88802709258164603 | 0.88802709258164603 [2990] actual | expected [2994] 0.88085400932899771 | 0.88085400932899771 [2994] [2995] 0.87434422499642461 | 0.87434422499642461 [2995] [2996] 0.83833857710810955 | 0.83833857710810955 [2996] [2997] 0.85848337637999950 - 0.85848337637999994 [2997] [2998] 0.86531117783560818 - 0.86531117783560807 [2998] [2999] 0.88244983728531901 | 0.88244983728531901 [2999] [3000] 0.90026121937110903 | 0.90026121937110903 [3000] [3001] 0.84942513156186883 | 0.84942513156186883 [3001] actual | expected [3003] 0.84902494622276747 | 0.84902494622276747 [3003] [3004] 0.86442712001862887 | 0.86442712001862887 [3004] [3005] 0.82521414765823609 | 0.82521414765823609 [3005] [3006] 0.83463048781790361 - 0.83463048781790383 [3006] [3007] 0.83122987238931656 | 0.83122987238931656 [3007] [3008] 0.84829435209265880 | 0.84829435209265880 [3008] [3009] 0.80529595022556821 | 0.80529595022556821 [3009] [3010] 0.84202804323874891 | 0.84202804323874891 [3010] [3011] 0.82995400501044503 | 0.82995400501044503 [3011] [3012] 0.82121826896184702 - 0.82121826896184713 [3012] ... ... ... and 5 more ... actual | expected [3026] 0.83713560082996230 | 0.83713560082996230 [3026] [3027] 0.84561273956719263 | 0.84561273956719263 [3027] [3028] 0.84030420677570516 | 0.84030420677570516 [3028] [3029] 0.86961977119717770 - 0.86961977119717793 [3029] [3030] 0.84124275708708940 | 0.84124275708708940 [3030] [3031] 0.83722118847464455 | 0.83722118847464455 [3031] [3032] 0.84587719403581052 | 0.84587719403581052 [3032] actual | expected [3038] 0.84857753705766070 | 0.84857753705766070 [3038] [3039] 0.83912258563321973 | 0.83912258563321973 [3039] [3040] 0.81819753194124489 | 0.81819753194124489 [3040] [3041] 0.88843829811762354 - 0.88843829811762343 [3041] [3042] 0.83701538659990515 | 0.83701538659990515 [3042] [3043] 0.85298794980507175 | 0.85298794980507175 [3043] [3044] 0.85866649444896348 | 0.85866649444896348 [3044] actual | expected [3052] 0.84871902115398001 | 0.84871902115398001 [3052] [3053] 0.82018151450303500 | 0.82018151450303500 [3053] [3054] 0.86821603861876806 | 0.86821603861876806 [3054] [3055] 0.85219391016265289 - 0.85219391016265311 [3055] [3056] 0.85760063381605034 | 0.85760063381605034 [3056] [3057] 0.83040358405116088 | 0.83040358405116088 [3057] [3058] 0.86469874587842144 | 0.86469874587842144 [3058] actual | expected [3066] 0.85140559335238963 | 0.85140559335238963 [3066] [3067] 0.85391475323954147 | 0.85391475323954147 [3067] [3068] 0.84294925750777605 | 0.84294925750777605 [3068] [3069] 0.82684751427348679 - 0.82684751427348624 [3069] [3070] 0.86806117114931425 | 0.86806117114931425 [3070] [3071] 0.82750607622853756 | 0.82750607622853756 [3071] [3072] 0.84758987148858211 | 0.84758987148858211 [3072] actual | expected [3078] 0.84684200412273192 | 0.84684200412273192 [3078] [3079] 0.84997522659827929 | 0.84997522659827929 [3079] [3080] 0.87037255380449519 | 0.87037255380449519 [3080] [3081] 0.86502052982140099 - 0.86502052982140176 [3081] [3082] 0.82413974129612810 | 0.82413974129612810 [3082] [3083] 0.83246104639308127 | 0.83246104639308127 [3083] [3084] 0.83241987065762002 | 0.83241987065762002 [3084] actual | expected [3089] 0.81321993641190549 | 0.81321993641190549 [3089] [3090] 0.81561681024621757 | 0.81561681024621757 [3090] [3091] 0.84441667593919489 | 0.84441667593919489 [3091] [3092] 0.86347150046789611 - 0.86347150046789622 [3092] [3093] 0.81497556186234510 | 0.81497556186234510 [3093] [3094] 0.82293302856247641 | 0.82293302856247641 [3094] [3095] 0.85550423164726097 - 0.85550423164726064 [3095] [3096] 0.81932221599449484 | 0.81932221599449484 [3096] [3097] 0.84300632882162985 | 0.84300632882162985 [3097] [3098] 0.82613350396448815 | 0.82613350396448815 [3098] ... ... ... and 6 more ... actual | expected [3106] 0.83220888884519661 | 0.83220888884519661 [3106] [3107] 0.86151115194175054 | 0.86151115194175054 [3107] [3108] 0.84260148870134732 | 0.84260148870134732 [3108] [3109] 0.83560680726726144 - 0.83560680726726100 [3109] [3110] 0.81355092849256294 | 0.81355092849256294 [3110] [3111] 0.86760936057818139 | 0.86760936057818139 [3111] [3112] 0.84564627453529095 | 0.84564627453529095 [3112] actual | expected [3113] 0.84433270100003499 | 0.84433270100003499 [3113] [3114] 0.86527103485557300 | 0.86527103485557300 [3114] [3115] 0.87085871719851016 | 0.87085871719851016 [3115] [3116] 0.82114714989139193 - 0.82114714989139204 [3116] [3117] 0.87011658852869145 | 0.87011658852869145 [3117] [3118] 0.87949414293316386 | 0.87949414293316386 [3118] [3119] 0.85853558566251165 | 0.85853558566251165 [3119] [3120] 0.85893885092702882 - 0.85893885092702871 [3120] [3121] 0.85133149767630967 | 0.85133149767630967 [3121] [3122] 0.84878309696890164 - 0.84878309696890175 [3122] ... ... ... and 5 more ... actual | expected [3134] 0.85024031313803250 | 0.85024031313803250 [3134] [3135] 0.85839732058472351 | 0.85839732058472351 [3135] [3136] 0.88618900270010459 | 0.88618900270010459 [3136] [3137] 0.82394852424051834 - 0.82394852424051890 [3137] [3138] 0.86758427226904333 | 0.86758427226904333 [3138] [3139] 0.86737860540294032 | 0.86737860540294032 [3139] [3140] 0.86945130620210154 | 0.86945130620210154 [3140] [3141] 0.82408276315458195 | 0.82408276315458195 [3141] [3142] 0.84788814287128278 | 0.84788814287128278 [3142] [3143] 0.85800949840880236 - 0.85800949840880192 [3143] ... ... ... and 3 more ... actual | expected [3152] 0.85097634877407091 | 0.85097634877407091 [3152] [3153] 0.85218189119239263 | 0.85218189119239263 [3153] [3154] 0.85482872910102459 | 0.85482872910102459 [3154] [3155] 0.81865105938971661 - 0.81865105938971672 [3155] [3156] 0.86589800222887348 - 0.86589800222887259 [3156] [3157] 0.84017524571572844 | 0.84017524571572844 [3157] [3158] 0.84720479538879556 | 0.84720479538879556 [3158] [3159] 0.83723491631493441 | 0.83723491631493441 [3159] actual | expected [3160] 0.82032432447826564 | 0.82032432447826564 [3160] [3161] 0.82047552717939942 | 0.82047552717939942 [3161] [3162] 0.83535564315425592 | 0.83535564315425592 [3162] [3163] 0.79682972678948927 - 0.79682972678948893 [3163] [3164] 0.88188392255677106 - 0.88188392255677073 [3164] [3165] 0.84918617671642105 | 0.84918617671642105 [3165] [3166] 0.84962945357871544 | 0.84962945357871544 [3166] [3167] 0.82079021878971126 | 0.82079021878971126 [3167] actual | expected [3169] 0.86355012018062649 | 0.86355012018062649 [3169] [3170] 0.87407108731924910 | 0.87407108731924910 [3170] [3171] 0.81517263535754536 | 0.81517263535754536 [3171] [3172] 0.84657565081702046 - 0.84657565081702080 [3172] [3173] 0.83073271676316551 | 0.83073271676316551 [3173] [3174] 0.84521518950095331 | 0.84521518950095331 [3174] [3175] 0.82920226353596282 | 0.82920226353596282 [3175] [3176] 0.82034709779688930 | 0.82034709779688930 [3176] [3177] 0.85410308415950464 | 0.85410308415950464 [3177] [3178] 0.86662055426378271 - 0.86662055426378259 [3178] ... ... ... and 5 more ... actual | expected [3212] 0.86187546469970877 | 0.86187546469970877 [3212] [3213] 0.87048977847607378 | 0.87048977847607378 [3213] [3214] 0.85788198078118427 | 0.85788198078118427 [3214] [3215] 0.82437216957367565 - 0.82437216957367609 [3215] [3216] 0.84096239895888014 | 0.84096239895888014 [3216] [3217] 0.84958672214901365 | 0.84958672214901365 [3217] [3218] 0.85073993904016676 | 0.85073993904016676 [3218] [3219] 0.84672465194094138 | 0.84672465194094138 [3219] [3220] 0.80926579331165038 | 0.80926579331165038 [3220] [3221] 0.89068720968732829 - 0.89068720968732851 [3221] ... ... ... and 3 more ... actual | expected [3234] 0.87061704738725854 | 0.87061704738725854 [3234] [3235] 0.84639296748871684 | 0.84639296748871684 [3235] [3236] 0.81123656068568695 | 0.81123656068568695 [3236] [3237] 0.86513714451967416 - 0.86513714451967372 [3237] [3238] 0.80501667642043839 | 0.80501667642043839 [3238] [3239] 0.86017984840443618 | 0.86017984840443618 [3239] [3240] 0.80965997024379099 | 0.80965997024379099 [3240] [3241] 0.86304605268625612 | 0.86304605268625612 [3241] [3242] 0.87781193076684261 | 0.87781193076684261 [3242] [3243] 0.89098442810208067 - 0.89098442810208012 [3243] ... ... ... and 8 more ... actual | expected [3254] 0.83439531243629461 | 0.83439531243629461 [3254] [3255] 0.82922457499460256 | 0.82922457499460256 [3255] [3256] 0.84591547583806559 | 0.84591547583806559 [3256] [3257] 0.84968471687181291 - 0.84968471687181313 [3257] [3258] 0.88211283547368946 | 0.88211283547368946 [3258] [3259] 0.84910598393520342 | 0.84910598393520342 [3259] [3260] 0.82095244121447353 | 0.82095244121447353 [3260] [3261] 0.86450754550083053 | 0.86450754550083053 [3261] [3262] 0.82916623879185070 - 0.82916623879185014 [3262] [3263] 0.86323095905600378 | 0.86323095905600378 [3263] ... ... ... and 8 more ... actual | expected [3273] 0.85993634717198242 | 0.85993634717198242 [3273] [3274] 0.82069085580259071 | 0.82069085580259071 [3274] [3275] 0.84694856508107208 | 0.84694856508107208 [3275] [3276] 0.81395251728547158 - 0.81395251728547191 [3276] [3277] 0.83620662452669092 | 0.83620662452669092 [3277] [3278] 0.86592582051218114 | 0.86592582051218114 [3278] [3279] 0.83138424197706673 | 0.83138424197706673 [3279] actual | expected [3282] 0.83128127123456652 | 0.83128127123456652 [3282] [3283] 0.87649731585332902 | 0.87649731585332902 [3283] [3284] 0.83288249383734447 | 0.83288249383734447 [3284] [3285] 0.81781870601533235 - 0.81781870601533180 [3285] [3286] 0.87103842079537597 - 0.87103842079537741 [3286] [3287] 0.82896402175629935 - 0.82896402175629991 [3287] [3288] 0.82456923695961815 | 0.82456923695961815 [3288] [3289] 0.81848768101961800 | 0.81848768101961800 [3289] [3290] 0.84016179332381857 | 0.84016179332381857 [3290] actual | expected [3294] 0.87191137550856779 | 0.87191137550856779 [3294] [3295] 0.83217254089776682 | 0.83217254089776682 [3295] [3296] 0.81853487094661836 | 0.81853487094661836 [3296] [3297] 0.83067166118474400 - 0.83067166118474411 [3297] [3298] 0.85776534041735608 - 0.85776534041735597 [3298] [3299] 0.84693500073248662 | 0.84693500073248662 [3299] [3300] 0.85418330095080885 - 0.85418330095080897 [3300] [3301] 0.80770978493180479 | 0.80770978493180479 [3301] [3302] 0.80355718429000700 | 0.80355718429000700 [3302] [3303] 0.80672370312245478 | 0.80672370312245478 [3303] ... ... ... and 14 more ... actual | expected [3326] 0.79835837979730284 | 0.79835837979730284 [3326] [3327] 0.79424102328513246 | 0.79424102328513246 [3327] [3328] 0.79063551861320303 | 0.79063551861320303 [3328] [3329] 0.83469334309956400 - 0.83469334309956333 [3329] [3330] 0.77564939743494365 | 0.77564939743494365 [3330] [3331] 0.81292040408162580 | 0.81292040408162580 [3331] [3332] 0.79640887245376946 | 0.79640887245376946 [3332] actual | expected [3338] 0.78720694474323549 | 0.78720694474323549 [3338] [3339] 0.79169889706222030 | 0.79169889706222030 [3339] [3340] 0.78078567333130222 | 0.78078567333130222 [3340] [3341] 0.81613988226063650 - 0.81613988226063683 [3341] [3342] 0.81825275894711047 | 0.81825275894711047 [3342] [3343] 0.77196469066199902 | 0.77196469066199902 [3343] [3344] 0.81250089292817740 | 0.81250089292817740 [3344] [3345] 0.83234922428673774 | 0.83234922428673774 [3345] [3346] 0.75835860792220600 - 0.75835860792220589 [3346] [3347] 0.79149385224358149 | 0.79149385224358149 [3347] ... ... ... and 2 more ... actual | expected [3352] 0.76897790879368322 | 0.76897790879368322 [3352] [3353] 0.79669946930158309 | 0.79669946930158309 [3353] [3354] 0.81707656867734191 | 0.81707656867734191 [3354] [3355] 0.72345340425407945 - 0.72345340425408011 [3355] [3356] 0.80735421133029828 | 0.80735421133029828 [3356] [3357] 0.77753277785663522 | 0.77753277785663522 [3357] [3358] 0.76635736944399668 | 0.76635736944399668 [3358] actual | expected [3378] 0.79815948559959582 | 0.79815948559959582 [3378] [3379] 0.76064258546084584 | 0.76064258546084584 [3379] [3380] 0.81211709858677039 | 0.81211709858677039 [3380] [3381] 0.85033742178476257 - 0.85033742178476235 [3381] [3382] 0.80318611999184464 | 0.80318611999184464 [3382] [3383] 0.81546963898376912 | 0.81546963898376912 [3383] [3384] 0.79723051629434050 | 0.79723051629434050 [3384] actual | expected [3389] 0.80093119737514484 | 0.80093119737514484 [3389] [3390] 0.79047046214767480 | 0.79047046214767480 [3390] [3391] 0.82761805015506995 | 0.82761805015506995 [3391] [3392] 0.78440218929682515 - 0.78440218929682537 [3392] [3393] 0.79699994993850398 | 0.79699994993850398 [3393] [3394] 0.80865238596930478 | 0.80865238596930478 [3394] [3395] 0.82549694735295909 - 0.82549694735295842 [3395] [3396] 0.81254062198217736 | 0.81254062198217736 [3396] [3397] 0.77533565072385879 | 0.77533565072385879 [3397] [3398] 0.78354335035822187 | 0.78354335035822187 [3398] ... ... ... and 14 more ... actual | expected [3413] 0.80755135688603363 | 0.80755135688603363 [3413] [3414] 0.80140731689279243 | 0.80140731689279243 [3414] [3415] 0.78386030350847014 | 0.78386030350847014 [3415] [3416] 0.78661751376443023 - 0.78661751376443056 [3416] [3417] 0.78619683636562043 | 0.78619683636562043 [3417] [3418] 0.77439436494107994 | 0.77439436494107994 [3418] [3419] 0.80227571031155687 | 0.80227571031155687 [3419] [3420] 0.81657889893009750 - 0.81657889893009683 [3420] [3421] 0.76233867547520806 | 0.76233867547520806 [3421] [3422] 0.82922937978272238 - 0.82922937978272293 [3422] ... ... ... and 5 more ... actual | expected [3434] 0.78672897347785442 | 0.78672897347785442 [3434] [3435] 0.81545647344580996 | 0.81545647344580996 [3435] [3436] 0.82962451092643397 | 0.82962451092643397 [3436] [3437] 0.80958361566666626 - 0.80958361566666637 [3437] [3438] 0.75156310537121829 | 0.75156310537121829 [3438] [3439] 0.79038867639666865 | 0.79038867639666865 [3439] [3440] 0.82116278208042237 | 0.82116278208042237 [3440] [3441] 0.78086374170605344 | 0.78086374170605344 [3441] [3442] 0.79288609719206415 | 0.79288609719206415 [3442] [3443] 0.80883794758938055 - 0.80883794758938110 [3443] ... ... ... and 3 more ... actual | expected [3452] 0.80234325288966946 | 0.80234325288966946 [3452] [3453] 0.75887553598943969 | 0.75887553598943969 [3453] [3454] 0.81331404828046272 | 0.81331404828046272 [3454] [3455] 0.78834199269851224 - 0.78834199269851235 [3455] [3456] 0.78789576757018387 - 0.78789576757018409 [3456] [3457] 0.76301949215196230 | 0.76301949215196230 [3457] [3458] 0.77215951198524546 | 0.77215951198524546 [3458] [3459] 0.81378372573414393 | 0.81378372573414393 [3459] actual | expected [3460] 0.80493683124897097 | 0.80493683124897097 [3460] [3461] 0.77629258129531220 | 0.77629258129531220 [3461] [3462] 0.77355380092225534 | 0.77355380092225534 [3462] [3463] 0.75859177960567592 - 0.75859177960567536 [3463] [3464] 0.82921067482539368 - 0.82921067482539323 [3464] [3465] 0.78002146568496322 | 0.78002146568496322 [3465] [3466] 0.79385197302432031 | 0.79385197302432031 [3466] [3467] 0.79666018072603351 | 0.79666018072603351 [3467] actual | expected [3469] 0.82563904349170281 | 0.82563904349170281 [3469] [3470] 0.79862857856190117 | 0.79862857856190117 [3470] [3471] 0.78877986623893737 | 0.78877986623893737 [3471] [3472] 0.81920812632088302 - 0.81920812632088280 [3472] [3473] 0.78537356366524280 | 0.78537356366524280 [3473] [3474] 0.78717489507167282 | 0.78717489507167282 [3474] [3475] 0.79787416411327172 | 0.79787416411327172 [3475] [3476] 0.80718169341896839 | 0.80718169341896839 [3476] [3477] 0.76224894920750985 | 0.76224894920750985 [3477] [3478] 0.80309828337643629 - 0.80309828337643652 [3478] ... ... ... and 5 more ... actual | expected [3512] 0.79087725913451412 | 0.79087725913451412 [3512] [3513] 0.82887639101549904 | 0.82887639101549904 [3513] [3514] 0.77660694463417401 | 0.77660694463417401 [3514] [3515] 0.77910813308071503 - 0.77910813308071458 [3515] [3516] 0.75565961186503861 | 0.75565961186503861 [3516] [3517] 0.78697890499051781 | 0.78697890499051781 [3517] [3518] 0.83759140250280684 | 0.83759140250280684 [3518] [3519] 0.82351530082692692 | 0.82351530082692692 [3519] [3520] 0.80092531276544465 | 0.80092531276544465 [3520] [3521] 0.81399743329862606 - 0.81399743329862595 [3521] ... ... ... and 3 more ... actual | expected [3525] 0.80630526986160644 | 0.80630526986160644 [3525] [3526] 0.78857260863185763 | 0.78857260863185763 [3526] [3527] 0.80670790623429978 | 0.80670790623429978 [3527] [3528] 0.82097626614387265 - 0.82097626614387242 [3528] [3529] 0.81315491053433187 | 0.81315491053433187 [3529] [3530] 0.78850021584964880 | 0.78850021584964880 [3530] [3531] 0.79925456645690296 | 0.79925456645690296 [3531] actual | expected [3534] 0.82910969475135965 | 0.82910969475135965 [3534] [3535] 0.80941914760339240 | 0.80941914760339240 [3535] [3536] 0.74025548686006482 | 0.74025548686006482 [3536] [3537] 0.80140606680591098 - 0.80140606680591120 [3537] [3538] 0.77617962518339312 | 0.77617962518339312 [3538] [3539] 0.80061196492644937 | 0.80061196492644937 [3539] [3540] 0.75172418219296555 | 0.75172418219296555 [3540] actual | expected [3543] 0.83529239912544406 | 0.83529239912544406 [3543] [3544] 0.81497097248362060 | 0.81497097248362060 [3544] [3545] 0.82752228481379453 | 0.82752228481379453 [3545] [3546] 0.78291025856131680 - 0.78291025856131746 [3546] [3547] 0.82831222765840018 | 0.82831222765840018 [3547] [3548] 0.80498757736415683 | 0.80498757736415683 [3548] [3549] 0.84385280416649189 | 0.84385280416649189 [3549] actual | expected [3554] 0.77100621334047237 | 0.77100621334047237 [3554] [3555] 0.73509553535892347 | 0.73509553535892347 [3555] [3556] 0.80431302902538837 | 0.80431302902538837 [3556] [3557] 0.81919914217651568 - 0.81919914217651579 [3557] [3558] 0.82231074956986772 | 0.82231074956986772 [3558] [3559] 0.79889419235621473 | 0.79889419235621473 [3559] [3560] 0.78297609798187828 | 0.78297609798187828 [3560] [3561] 0.81747642013566590 | 0.81747642013566590 [3561] [3562] 0.79949585755538599 - 0.79949585755538699 [3562] [3563] 0.84556602854052665 | 0.84556602854052665 [3563] ... ... ... and 8 more ... actual | expected [3573] 0.79604114249483449 | 0.79604114249483449 [3573] [3574] 0.80345353267025099 | 0.80345353267025099 [3574] [3575] 0.82267957716496176 | 0.82267957716496176 [3575] [3576] 0.79484673416299212 - 0.79484673416299223 [3576] [3577] 0.78093358942835889 | 0.78093358942835889 [3577] [3578] 0.76448142298745292 | 0.76448142298745292 [3578] [3579] 0.79556694288172281 | 0.79556694288172281 [3579] actual | expected [3582] 0.79354943703647829 | 0.79354943703647829 [3582] [3583] 0.84041024770819406 | 0.84041024770819406 [3583] [3584] 0.81588958689699487 | 0.81588958689699487 [3584] [3585] 0.81397157173962986 - 0.81397157173962975 [3585] [3586] 0.83081617051504408 - 0.83081617051504386 [3586] [3587] 0.75200183522773434 - 0.75200183522773423 [3587] [3588] 0.74552300051275211 | 0.74552300051275211 [3588] [3589] 0.78281578972541932 | 0.78281578972541932 [3589] [3590] 0.79768061729081641 | 0.79768061729081641 [3590] actual | expected [3594] 0.79879297295090446 | 0.79879297295090446 [3594] [3595] 0.82083313503062882 | 0.82083313503062882 [3595] [3596] 0.79129526997262434 | 0.79129526997262434 [3596] [3597] 0.77691656753199456 - 0.77691656753199412 [3597] [3598] 0.80377243303599355 - 0.80377243303599288 [3598] [3599] 0.81927745056364154 | 0.81927745056364154 [3599] [3600] 0.81757093758560129 | 0.81757093758560129 [3600] [ FAIL 1 | WARN 0 | SKIP 3 | PASS 4249 ] Error: ! Test failures. Execution halted * checking for unstated dependencies in vignettes ... OK * checking package vignettes ... OK * checking re-building of vignette outputs ... [10s/31s] OK * checking PDF version of manual ... [6s/16s] OK * checking HTML version of manual ... [3s/10s] 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/localhost/ripley/R/packages/tests-MKL/EpiQuestionR.Rcheck/00check.log’ for details. Command exited with non-zero status 1 Time 10:11.18, 183.07 + 13.88