--- /srv/reproducible-results/rbuild-debian/r-b-build.ZCtb0N97/b1/statsmodels_0.14.5+dfsg-1_arm64.changes +++ /srv/reproducible-results/rbuild-debian/r-b-build.ZCtb0N97/b2/statsmodels_0.14.5+dfsg-1_arm64.changes ├── Files │ @@ -1,5 +1,5 @@ │ │ - eca56edee6516f3de31ae9a5bbf2cb10 52046024 doc optional python-statsmodels-doc_0.14.5+dfsg-1_all.deb │ + 26de29bc89c051bf21c0aebf17837b3a 52045852 doc optional python-statsmodels-doc_0.14.5+dfsg-1_all.deb │ c06b40bf1b506f3756474ec81c5aa765 13204564 debug optional python3-statsmodels-lib-dbgsym_0.14.5+dfsg-1_arm64.deb │ e96293c45dfbe595b43a0bc325b422f2 1387008 python optional python3-statsmodels-lib_0.14.5+dfsg-1_arm64.deb │ 0da89b43338da46767b12d96610c1449 4826540 python optional python3-statsmodels_0.14.5+dfsg-1_all.deb ├── python-statsmodels-doc_0.14.5+dfsg-1_all.deb │ ├── file list │ │ @@ -1,3 +1,3 @@ │ │ -rw-r--r-- 0 0 0 4 2025-08-10 13:13:47.000000 debian-binary │ │ --rw-r--r-- 0 0 0 334752 2025-08-10 13:13:47.000000 control.tar.xz │ │ --rw-r--r-- 0 0 0 51711080 2025-08-10 13:13:47.000000 data.tar.xz │ │ +-rw-r--r-- 0 0 0 334776 2025-08-10 13:13:47.000000 control.tar.xz │ │ +-rw-r--r-- 0 0 0 51710884 2025-08-10 13:13:47.000000 data.tar.xz │ ├── control.tar.xz │ │ ├── control.tar │ │ │ ├── ./md5sums │ │ │ │ ├── ./md5sums │ │ │ │ │┄ Files differ │ ├── data.tar.xz │ │ ├── data.tar │ │ │ ├── file list │ │ │ │ @@ -1181,25 +1181,25 @@ │ │ │ │ drwxr-xr-x 0 root (0) root (0) 0 2025-08-10 13:13:47.000000 ./usr/share/doc/python-statsmodels-doc/html/_sources/examples/notebooks/generated/ │ │ │ │ -rw-r--r-- 0 root (0) root (0) 31085 2025-08-10 13:13:47.000000 ./usr/share/doc/python-statsmodels-doc/html/_sources/examples/notebooks/generated/categorical_interaction_plot.ipynb.txt │ │ │ │ -rw-r--r-- 0 root (0) root (0) 12005 2025-08-10 13:13:47.000000 ./usr/share/doc/python-statsmodels-doc/html/_sources/examples/notebooks/generated/chi2_fitting.ipynb.txt │ │ │ │ -rw-r--r-- 0 root (0) root (0) 341654 2025-08-10 13:13:47.000000 ./usr/share/doc/python-statsmodels-doc/html/_sources/examples/notebooks/generated/copula.ipynb.txt │ │ │ │ -rw-r--r-- 0 root (0) root (0) 216169 2025-08-10 13:13:47.000000 ./usr/share/doc/python-statsmodels-doc/html/_sources/examples/notebooks/generated/count_hurdle.ipynb.txt │ │ │ │ -rw-r--r-- 0 root (0) root (0) 333113 2025-08-10 13:13:47.000000 ./usr/share/doc/python-statsmodels-doc/html/_sources/examples/notebooks/generated/deterministics.ipynb.txt │ │ │ │ -rw-r--r-- 0 root (0) root (0) 354966 2025-08-10 13:13:47.000000 ./usr/share/doc/python-statsmodels-doc/html/_sources/examples/notebooks/generated/discrete_choice_example.ipynb.txt │ │ │ │ --rw-r--r-- 0 root (0) root (0) 24860 2025-08-10 13:13:47.000000 ./usr/share/doc/python-statsmodels-doc/html/_sources/examples/notebooks/generated/discrete_choice_overview.ipynb.txt │ │ │ │ +-rw-r--r-- 0 root (0) root (0) 24850 2025-08-10 13:13:47.000000 ./usr/share/doc/python-statsmodels-doc/html/_sources/examples/notebooks/generated/discrete_choice_overview.ipynb.txt │ │ │ │ -rw-r--r-- 0 root (0) root (0) 5359 2025-08-10 13:13:47.000000 ./usr/share/doc/python-statsmodels-doc/html/_sources/examples/notebooks/generated/distributed_estimation.ipynb.txt │ │ │ │ -rw-r--r-- 0 root (0) root (0) 856920 2025-08-10 13:13:47.000000 ./usr/share/doc/python-statsmodels-doc/html/_sources/examples/notebooks/generated/ets.ipynb.txt │ │ │ │ -rw-r--r-- 0 root (0) root (0) 867457 2025-08-10 13:13:47.000000 ./usr/share/doc/python-statsmodels-doc/html/_sources/examples/notebooks/generated/exponential_smoothing.ipynb.txt │ │ │ │ -rw-r--r-- 0 root (0) root (0) 21348 2025-08-10 13:13:47.000000 ./usr/share/doc/python-statsmodels-doc/html/_sources/examples/notebooks/generated/formulas.ipynb.txt │ │ │ │ -rw-r--r-- 0 root (0) root (0) 7769 2025-08-10 13:13:47.000000 ./usr/share/doc/python-statsmodels-doc/html/_sources/examples/notebooks/generated/gee_nested_simulation.ipynb.txt │ │ │ │ -rw-r--r-- 0 root (0) root (0) 28450 2025-08-10 13:13:47.000000 ./usr/share/doc/python-statsmodels-doc/html/_sources/examples/notebooks/generated/gee_score_test_simulation.ipynb.txt │ │ │ │ --rw-r--r-- 0 root (0) root (0) 30433 2025-08-10 13:13:47.000000 ./usr/share/doc/python-statsmodels-doc/html/_sources/examples/notebooks/generated/generic_mle.ipynb.txt │ │ │ │ +-rw-r--r-- 0 root (0) root (0) 30530 2025-08-10 13:13:47.000000 ./usr/share/doc/python-statsmodels-doc/html/_sources/examples/notebooks/generated/generic_mle.ipynb.txt │ │ │ │ -rw-r--r-- 0 root (0) root (0) 316694 2025-08-10 13:13:47.000000 ./usr/share/doc/python-statsmodels-doc/html/_sources/examples/notebooks/generated/glm.ipynb.txt │ │ │ │ -rw-r--r-- 0 root (0) root (0) 11313 2025-08-10 13:13:47.000000 ./usr/share/doc/python-statsmodels-doc/html/_sources/examples/notebooks/generated/glm_formula.ipynb.txt │ │ │ │ --rw-r--r-- 0 root (0) root (0) 81442 2025-08-10 13:13:47.000000 ./usr/share/doc/python-statsmodels-doc/html/_sources/examples/notebooks/generated/glm_weights.ipynb.txt │ │ │ │ +-rw-r--r-- 0 root (0) root (0) 81345 2025-08-10 13:13:47.000000 ./usr/share/doc/python-statsmodels-doc/html/_sources/examples/notebooks/generated/glm_weights.ipynb.txt │ │ │ │ -rw-r--r-- 0 root (0) root (0) 11125 2025-08-10 13:13:47.000000 ./usr/share/doc/python-statsmodels-doc/html/_sources/examples/notebooks/generated/gls.ipynb.txt │ │ │ │ -rw-r--r-- 0 root (0) root (0) 303187 2025-08-10 13:13:47.000000 ./usr/share/doc/python-statsmodels-doc/html/_sources/examples/notebooks/generated/influence_glm_logit.ipynb.txt │ │ │ │ -rw-r--r-- 0 root (0) root (0) 630185 2025-08-10 13:13:47.000000 ./usr/share/doc/python-statsmodels-doc/html/_sources/examples/notebooks/generated/kernel_density.ipynb.txt │ │ │ │ -rw-r--r-- 0 root (0) root (0) 241275 2025-08-10 13:13:47.000000 ./usr/share/doc/python-statsmodels-doc/html/_sources/examples/notebooks/generated/lowess.ipynb.txt │ │ │ │ -rw-r--r-- 0 root (0) root (0) 604023 2025-08-10 13:13:47.000000 ./usr/share/doc/python-statsmodels-doc/html/_sources/examples/notebooks/generated/markov_regression.ipynb.txt │ │ │ │ -rw-r--r-- 0 root (0) root (0) 9488 2025-08-10 13:13:47.000000 ./usr/share/doc/python-statsmodels-doc/html/_sources/examples/notebooks/generated/mediation_survival.ipynb.txt │ │ │ │ -rw-r--r-- 0 root (0) root (0) 282418 2025-08-10 13:13:47.000000 ./usr/share/doc/python-statsmodels-doc/html/_sources/examples/notebooks/generated/metaanalysis1.ipynb.txt │ │ │ │ @@ -1217,19 +1217,19 @@ │ │ │ │ -rw-r--r-- 0 root (0) root (0) 898727 2025-08-10 13:13:47.000000 ./usr/share/doc/python-statsmodels-doc/html/_sources/examples/notebooks/generated/robust_models_1.ipynb.txt │ │ │ │ -rw-r--r-- 0 root (0) root (0) 397491 2025-08-10 13:13:47.000000 ./usr/share/doc/python-statsmodels-doc/html/_sources/examples/notebooks/generated/statespace_arma_0.ipynb.txt │ │ │ │ -rw-r--r-- 0 root (0) root (0) 18502 2025-08-10 13:13:47.000000 ./usr/share/doc/python-statsmodels-doc/html/_sources/examples/notebooks/generated/statespace_concentrated_scale.ipynb.txt │ │ │ │ -rw-r--r-- 0 root (0) root (0) 168040 2025-08-10 13:13:47.000000 ./usr/share/doc/python-statsmodels-doc/html/_sources/examples/notebooks/generated/statespace_forecasting.ipynb.txt │ │ │ │ -rw-r--r-- 0 root (0) root (0) 115080 2025-08-10 13:13:47.000000 ./usr/share/doc/python-statsmodels-doc/html/_sources/examples/notebooks/generated/statespace_sarimax_faq.ipynb.txt │ │ │ │ -rw-r--r-- 0 root (0) root (0) 1795454 2025-08-10 13:13:47.000000 ./usr/share/doc/python-statsmodels-doc/html/_sources/examples/notebooks/generated/statespace_seasonal.ipynb.txt │ │ │ │ -rw-r--r-- 0 root (0) root (0) 267368 2025-08-10 13:13:47.000000 ./usr/share/doc/python-statsmodels-doc/html/_sources/examples/notebooks/generated/stationarity_detrending_adf_kpss.ipynb.txt │ │ │ │ --rw-r--r-- 0 root (0) root (0) 35625 2025-08-10 13:13:47.000000 ./usr/share/doc/python-statsmodels-doc/html/_sources/examples/notebooks/generated/stats_poisson.ipynb.txt │ │ │ │ +-rw-r--r-- 0 root (0) root (0) 35712 2025-08-10 13:13:47.000000 ./usr/share/doc/python-statsmodels-doc/html/_sources/examples/notebooks/generated/stats_poisson.ipynb.txt │ │ │ │ -rw-r--r-- 0 root (0) root (0) 34572 2025-08-10 13:13:47.000000 ./usr/share/doc/python-statsmodels-doc/html/_sources/examples/notebooks/generated/stats_rankcompare.ipynb.txt │ │ │ │ -rw-r--r-- 0 root (0) root (0) 2081677 2025-08-10 13:13:47.000000 ./usr/share/doc/python-statsmodels-doc/html/_sources/examples/notebooks/generated/stl_decomposition.ipynb.txt │ │ │ │ -rw-r--r-- 0 root (0) root (0) 40239 2025-08-10 13:13:47.000000 ./usr/share/doc/python-statsmodels-doc/html/_sources/examples/notebooks/generated/treatment_effect.ipynb.txt │ │ │ │ --rw-r--r-- 0 root (0) root (0) 561514 2025-08-10 13:13:47.000000 ./usr/share/doc/python-statsmodels-doc/html/_sources/examples/notebooks/generated/tsa_arma_0.ipynb.txt │ │ │ │ +-rw-r--r-- 0 root (0) root (0) 561611 2025-08-10 13:13:47.000000 ./usr/share/doc/python-statsmodels-doc/html/_sources/examples/notebooks/generated/tsa_arma_0.ipynb.txt │ │ │ │ -rw-r--r-- 0 root (0) root (0) 86105 2025-08-10 13:13:47.000000 ./usr/share/doc/python-statsmodels-doc/html/_sources/examples/notebooks/generated/tsa_arma_1.ipynb.txt │ │ │ │ -rw-r--r-- 0 root (0) root (0) 97250 2025-08-10 13:13:47.000000 ./usr/share/doc/python-statsmodels-doc/html/_sources/examples/notebooks/generated/tsa_dates.ipynb.txt │ │ │ │ -rw-r--r-- 0 root (0) root (0) 372188 2025-08-10 13:13:47.000000 ./usr/share/doc/python-statsmodels-doc/html/_sources/examples/notebooks/generated/tsa_filters.ipynb.txt │ │ │ │ -rw-r--r-- 0 root (0) root (0) 16256 2025-08-10 13:13:47.000000 ./usr/share/doc/python-statsmodels-doc/html/_sources/examples/notebooks/generated/variance_components.ipynb.txt │ │ │ │ -rw-r--r-- 0 root (0) root (0) 91896 2025-08-10 13:13:47.000000 ./usr/share/doc/python-statsmodels-doc/html/_sources/examples/notebooks/generated/wls.ipynb.txt │ │ │ │ -rw-r--r-- 0 root (0) root (0) 2874 2025-07-07 10:23:58.000000 ./usr/share/doc/python-statsmodels-doc/html/_sources/faq.rst.txt │ │ │ │ -rw-r--r-- 0 root (0) root (0) 3558 2025-07-07 10:23:58.000000 ./usr/share/doc/python-statsmodels-doc/html/_sources/gam.rst.txt │ │ │ │ @@ -7691,35 +7691,35 @@ │ │ │ │ -rw-r--r-- 0 root (0) root (0) 55661 2025-08-10 13:13:47.000000 ./usr/share/doc/python-statsmodels-doc/html/examples/notebooks/generated/count_hurdle.html │ │ │ │ -rw-r--r-- 0 root (0) root (0) 139161 2025-08-10 13:13:47.000000 ./usr/share/doc/python-statsmodels-doc/html/examples/notebooks/generated/count_hurdle.ipynb.gz │ │ │ │ -rw-r--r-- 0 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./usr/share/doc/python-statsmodels-doc/html/examples/notebooks/generated/discrete_choice_overview.ipynb.gz │ │ │ │ +-rw-r--r-- 0 root (0) root (0) 4389 2025-08-10 13:13:47.000000 ./usr/share/doc/python-statsmodels-doc/html/examples/notebooks/generated/discrete_choice_overview.ipynb.gz │ │ │ │ -rw-r--r-- 0 root (0) root (0) 20786 2025-08-10 13:13:47.000000 ./usr/share/doc/python-statsmodels-doc/html/examples/notebooks/generated/distributed_estimation.html │ │ │ │ -rw-r--r-- 0 root (0) root (0) 1363 2025-08-10 13:13:47.000000 ./usr/share/doc/python-statsmodels-doc/html/examples/notebooks/generated/distributed_estimation.ipynb.gz │ │ │ │ -rw-r--r-- 0 root (0) root (0) 54614 2025-08-10 13:13:47.000000 ./usr/share/doc/python-statsmodels-doc/html/examples/notebooks/generated/ets.html │ │ │ │ -rw-r--r-- 0 root (0) root (0) 625738 2025-08-10 13:13:47.000000 ./usr/share/doc/python-statsmodels-doc/html/examples/notebooks/generated/ets.ipynb.gz │ │ │ │ -rw-r--r-- 0 root (0) root (0) 104333 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(0) root (0) 32995 2025-08-10 13:13:47.000000 ./usr/share/doc/python-statsmodels-doc/html/examples/notebooks/generated/gee_score_test_simulation.html │ │ │ │ -rw-r--r-- 0 root (0) root (0) 15647 2025-08-10 13:13:47.000000 ./usr/share/doc/python-statsmodels-doc/html/examples/notebooks/generated/gee_score_test_simulation.ipynb.gz │ │ │ │ -rw-r--r-- 0 root (0) root (0) 49891 2025-08-10 13:13:47.000000 ./usr/share/doc/python-statsmodels-doc/html/examples/notebooks/generated/generic_mle.html │ │ │ │ --rw-r--r-- 0 root (0) root (0) 6335 2025-08-10 13:13:47.000000 ./usr/share/doc/python-statsmodels-doc/html/examples/notebooks/generated/generic_mle.ipynb.gz │ │ │ │ +-rw-r--r-- 0 root (0) root (0) 6338 2025-08-10 13:13:47.000000 ./usr/share/doc/python-statsmodels-doc/html/examples/notebooks/generated/generic_mle.ipynb.gz │ │ │ │ -rw-r--r-- 0 root (0) root (0) 52151 2025-08-10 13:13:47.000000 ./usr/share/doc/python-statsmodels-doc/html/examples/notebooks/generated/glm.html │ │ │ │ -rw-r--r-- 0 root (0) root (0) 209126 2025-08-10 13:13:47.000000 ./usr/share/doc/python-statsmodels-doc/html/examples/notebooks/generated/glm.ipynb.gz │ │ │ │ -rw-r--r-- 0 root (0) root (0) 21429 2025-08-10 13:13:47.000000 ./usr/share/doc/python-statsmodels-doc/html/examples/notebooks/generated/glm_formula.html │ │ │ │ -rw-r--r-- 0 root (0) root (0) 2121 2025-08-10 13:13:47.000000 ./usr/share/doc/python-statsmodels-doc/html/examples/notebooks/generated/glm_formula.ipynb.gz │ │ │ │ -rw-r--r-- 0 root (0) root (0) 119987 2025-08-10 13:13:47.000000 ./usr/share/doc/python-statsmodels-doc/html/examples/notebooks/generated/glm_weights.html │ │ │ │ --rw-r--r-- 0 root (0) root (0) 9780 2025-08-10 13:13:47.000000 ./usr/share/doc/python-statsmodels-doc/html/examples/notebooks/generated/glm_weights.ipynb.gz │ │ │ │ +-rw-r--r-- 0 root (0) root (0) 9773 2025-08-10 13:13:47.000000 ./usr/share/doc/python-statsmodels-doc/html/examples/notebooks/generated/glm_weights.ipynb.gz │ │ │ │ -rw-r--r-- 0 root (0) root (0) 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2025-08-10 13:13:47.000000 ./usr/share/doc/python-statsmodels-doc/html/examples/notebooks/generated/kernel_density.ipynb.gz │ │ │ │ @@ -7783,24 +7783,24 @@ │ │ │ │ -rw-r--r-- 0 root (0) root (0) 1313441 2025-08-10 13:13:47.000000 ./usr/share/doc/python-statsmodels-doc/html/examples/notebooks/generated/statespace_seasonal.ipynb.gz │ │ │ │ -rw-r--r-- 0 root (0) root (0) 45205 2025-08-10 13:13:47.000000 ./usr/share/doc/python-statsmodels-doc/html/examples/notebooks/generated/statespace_structural_harvey_jaeger.html │ │ │ │ -rw-r--r-- 0 root (0) root (0) 87047 2025-08-10 13:13:47.000000 ./usr/share/doc/python-statsmodels-doc/html/examples/notebooks/generated/statespace_tvpvar_mcmc_cfa.html │ │ │ │ -rw-r--r-- 0 root (0) root (0) 21666 2025-08-10 13:13:47.000000 ./usr/share/doc/python-statsmodels-doc/html/examples/notebooks/generated/statespace_varmax.html │ │ │ │ -rw-r--r-- 0 root (0) root (0) 28026 2025-08-10 13:13:47.000000 ./usr/share/doc/python-statsmodels-doc/html/examples/notebooks/generated/stationarity_detrending_adf_kpss.html │ │ │ │ -rw-r--r-- 0 root (0) root (0) 192785 2025-08-10 13:13:47.000000 ./usr/share/doc/python-statsmodels-doc/html/examples/notebooks/generated/stationarity_detrending_adf_kpss.ipynb.gz │ │ │ │ -rw-r--r-- 0 root (0) root (0) 62145 2025-08-10 13:13:47.000000 ./usr/share/doc/python-statsmodels-doc/html/examples/notebooks/generated/stats_poisson.html │ │ │ │ --rw-r--r-- 0 root (0) root (0) 6963 2025-08-10 13:13:47.000000 ./usr/share/doc/python-statsmodels-doc/html/examples/notebooks/generated/stats_poisson.ipynb.gz │ │ │ │ +-rw-r--r-- 0 root (0) root (0) 6970 2025-08-10 13:13:47.000000 ./usr/share/doc/python-statsmodels-doc/html/examples/notebooks/generated/stats_poisson.ipynb.gz │ │ │ │ -rw-r--r-- 0 root (0) root (0) 51125 2025-08-10 13:13:47.000000 ./usr/share/doc/python-statsmodels-doc/html/examples/notebooks/generated/stats_rankcompare.html │ │ │ │ -rw-r--r-- 0 root (0) root (0) 6766 2025-08-10 13:13:47.000000 ./usr/share/doc/python-statsmodels-doc/html/examples/notebooks/generated/stats_rankcompare.ipynb.gz │ │ │ │ -rw-r--r-- 0 root (0) root (0) 62608 2025-08-10 13:13:47.000000 ./usr/share/doc/python-statsmodels-doc/html/examples/notebooks/generated/stl_decomposition.html │ │ │ │ -rw-r--r-- 0 root (0) root (0) 1531969 2025-08-10 13:13:47.000000 ./usr/share/doc/python-statsmodels-doc/html/examples/notebooks/generated/stl_decomposition.ipynb.gz │ │ │ │ -rw-r--r-- 0 root (0) root (0) 33287 2025-08-10 13:13:47.000000 ./usr/share/doc/python-statsmodels-doc/html/examples/notebooks/generated/theta-model.html │ │ │ │ -rw-r--r-- 0 root (0) root (0) 52442 2025-08-10 13:13:47.000000 ./usr/share/doc/python-statsmodels-doc/html/examples/notebooks/generated/treatment_effect.html │ │ │ │ -rw-r--r-- 0 root (0) root (0) 7250 2025-08-10 13:13:47.000000 ./usr/share/doc/python-statsmodels-doc/html/examples/notebooks/generated/treatment_effect.ipynb.gz │ │ │ │ -rw-r--r-- 0 root (0) root (0) 61202 2025-08-10 13:13:47.000000 ./usr/share/doc/python-statsmodels-doc/html/examples/notebooks/generated/tsa_arma_0.html │ │ │ │ --rw-r--r-- 0 root (0) root (0) 393416 2025-08-10 13:13:47.000000 ./usr/share/doc/python-statsmodels-doc/html/examples/notebooks/generated/tsa_arma_0.ipynb.gz │ │ │ │ +-rw-r--r-- 0 root (0) root (0) 393426 2025-08-10 13:13:47.000000 ./usr/share/doc/python-statsmodels-doc/html/examples/notebooks/generated/tsa_arma_0.ipynb.gz │ │ │ │ -rw-r--r-- 0 root (0) root (0) 17787 2025-08-10 13:13:47.000000 ./usr/share/doc/python-statsmodels-doc/html/examples/notebooks/generated/tsa_arma_1.html │ │ │ │ -rw-r--r-- 0 root (0) root (0) 61249 2025-08-10 13:13:47.000000 ./usr/share/doc/python-statsmodels-doc/html/examples/notebooks/generated/tsa_arma_1.ipynb.gz │ │ │ │ -rw-r--r-- 0 root (0) root (0) 15524 2025-08-10 13:13:47.000000 ./usr/share/doc/python-statsmodels-doc/html/examples/notebooks/generated/tsa_dates.html │ │ │ │ -rw-r--r-- 0 root (0) root (0) 68630 2025-08-10 13:13:47.000000 ./usr/share/doc/python-statsmodels-doc/html/examples/notebooks/generated/tsa_dates.ipynb.gz │ │ │ │ -rw-r--r-- 0 root (0) root (0) 35739 2025-08-10 13:13:47.000000 ./usr/share/doc/python-statsmodels-doc/html/examples/notebooks/generated/tsa_filters.html │ │ │ │ -rw-r--r-- 0 root (0) root (0) 267907 2025-08-10 13:13:47.000000 ./usr/share/doc/python-statsmodels-doc/html/examples/notebooks/generated/tsa_filters.ipynb.gz │ │ │ │ -rw-r--r-- 0 root (0) root (0) 42771 2025-08-10 13:13:47.000000 ./usr/share/doc/python-statsmodels-doc/html/examples/notebooks/generated/variance_components.html │ │ │ │ @@ -14003,15 +14003,15 @@ │ │ │ │ -rw-r--r-- 0 root (0) root (0) 27594 2025-08-10 13:13:47.000000 ./usr/share/doc/python-statsmodels-doc/html/release/version0.7.html │ │ │ │ -rw-r--r-- 0 root (0) root (0) 23354 2025-08-10 13:13:47.000000 ./usr/share/doc/python-statsmodels-doc/html/release/version0.8.html │ │ │ │ -rw-r--r-- 0 root (0) root (0) 28739 2025-08-10 13:13:47.000000 ./usr/share/doc/python-statsmodels-doc/html/release/version0.9.html │ │ │ │ -rw-r--r-- 0 root (0) root (0) 19857 2025-08-10 13:13:47.000000 ./usr/share/doc/python-statsmodels-doc/html/rlm.html │ │ │ │ -rw-r--r-- 0 root (0) root (0) 7250 2025-08-10 13:13:47.000000 ./usr/share/doc/python-statsmodels-doc/html/rlm_techn1.html │ │ │ │ -rw-r--r-- 0 root (0) root (0) 24328 2025-08-10 13:13:47.000000 ./usr/share/doc/python-statsmodels-doc/html/sandbox.html │ │ │ │ -rw-r--r-- 0 root (0) root (0) 5526 2025-08-10 13:13:47.000000 ./usr/share/doc/python-statsmodels-doc/html/search.html │ │ │ │ --rw-r--r-- 0 root (0) root (0) 5164981 2025-08-10 13:13:47.000000 ./usr/share/doc/python-statsmodels-doc/html/searchindex.js │ │ │ │ +-rw-r--r-- 0 root (0) root (0) 5164940 2025-08-10 13:13:47.000000 ./usr/share/doc/python-statsmodels-doc/html/searchindex.js │ │ │ │ -rw-r--r-- 0 root (0) root (0) 112815 2025-08-10 13:13:47.000000 ./usr/share/doc/python-statsmodels-doc/html/statespace.html │ │ │ │ -rw-r--r-- 0 root (0) root (0) 129649 2025-08-10 13:13:47.000000 ./usr/share/doc/python-statsmodels-doc/html/stats.html │ │ │ │ -rw-r--r-- 0 root (0) root (0) 23215 2025-08-10 13:13:47.000000 ./usr/share/doc/python-statsmodels-doc/html/tools.html │ │ │ │ -rw-r--r-- 0 root (0) root (0) 9553 2025-08-10 13:13:47.000000 ./usr/share/doc/python-statsmodels-doc/html/treatment.html │ │ │ │ -rw-r--r-- 0 root (0) root (0) 69564 2025-08-10 13:13:47.000000 ./usr/share/doc/python-statsmodels-doc/html/tsa.html │ │ │ │ -rw-r--r-- 0 root (0) root (0) 13463 2025-08-10 13:13:47.000000 ./usr/share/doc/python-statsmodels-doc/html/user-guide.html │ │ │ │ -rw-r--r-- 0 root (0) root (0) 60604 2025-08-10 13:13:47.000000 ./usr/share/doc/python-statsmodels-doc/html/vector_ar.html │ │ │ ├── ./usr/share/doc/python-statsmodels-doc/html/_sources/examples/notebooks/generated/discrete_choice_overview.ipynb.txt │ │ │ │ ├── Pretty-printed │ │ │ │ │┄ Similarity: 0.9999625206782465% │ │ │ │ │┄ Differences: {"'cells'": "{26: {'outputs': {0: {'text': ['Optimization terminated successfully.\\n', ' " │ │ │ │ │┄ "Current function value: 3.091609\\n', ' Iterations 6\\n']}, 1: {'text': " │ │ │ │ │┄ '{delete: [2, 1, 0]}}}}}'} │ │ │ │ │ @@ -446,24 +446,23 @@ │ │ │ │ │ } │ │ │ │ │ }, │ │ │ │ │ "outputs": [ │ │ │ │ │ { │ │ │ │ │ "name": "stdout", │ │ │ │ │ "output_type": "stream", │ │ │ │ │ "text": [ │ │ │ │ │ - "Optimization terminated successfully." │ │ │ │ │ + "Optimization terminated successfully.\n", │ │ │ │ │ + " Current function value: 3.091609\n", │ │ │ │ │ + " Iterations 6\n" │ │ │ │ │ ] │ │ │ │ │ }, │ │ │ │ │ { │ │ │ │ │ "name": "stdout", │ │ │ │ │ "output_type": "stream", │ │ │ │ │ "text": [ │ │ │ │ │ - "\n", │ │ │ │ │ - " Current function value: 3.091609\n", │ │ │ │ │ - " Iterations 6\n", │ │ │ │ │ " Poisson Regression Results \n", │ │ │ │ │ "==============================================================================\n", │ │ │ │ │ "Dep. Variable: mdvis No. Observations: 20190\n", │ │ │ │ │ "Model: Poisson Df Residuals: 20180\n", │ │ │ │ │ "Method: MLE Df Model: 9\n", │ │ │ │ │ "Date: Sun, 10 Aug 2025 Pseudo R-squ.: 0.06343\n", │ │ │ │ │ "Time: 13:13:47 Log-Likelihood: -62420.\n", │ │ │ ├── ./usr/share/doc/python-statsmodels-doc/html/_sources/examples/notebooks/generated/generic_mle.ipynb.txt │ │ │ │ ├── Pretty-printed │ │ │ │ │┄ Similarity: 0.9998966408268735% │ │ │ │ │┄ Differences: {"'cells'": "{29: {'outputs': {1: {'text': {insert: [(0, '\\n')], delete: [0]}}, insert: [(0, " │ │ │ │ │┄ "OrderedDict({'name': 'stdout', 'output_type': 'stream', 'text': ['Optimization " │ │ │ │ │┄ "terminated successfully.']}))]}}}"} │ │ │ │ │ @@ -622,15 +622,22 @@ │ │ │ │ │ } │ │ │ │ │ }, │ │ │ │ │ "outputs": [ │ │ │ │ │ { │ │ │ │ │ "name": "stdout", │ │ │ │ │ "output_type": "stream", │ │ │ │ │ "text": [ │ │ │ │ │ - "Optimization terminated successfully.\n", │ │ │ │ │ + "Optimization terminated successfully." │ │ │ │ │ + ] │ │ │ │ │ + }, │ │ │ │ │ + { │ │ │ │ │ + "name": "stdout", │ │ │ │ │ + "output_type": "stream", │ │ │ │ │ + "text": [ │ │ │ │ │ + "\n", │ │ │ │ │ " Current function value: 3.967477\n", │ │ │ │ │ " Iterations: 249\n", │ │ │ │ │ " Function evaluations: 412\n" │ │ │ │ │ ] │ │ │ │ │ }, │ │ │ │ │ { │ │ │ │ │ "name": "stderr", │ │ │ ├── ./usr/share/doc/python-statsmodels-doc/html/_sources/examples/notebooks/generated/glm_weights.ipynb.txt │ │ │ │ ├── Pretty-printed │ │ │ │ │┄ Similarity: 0.9999163925438597% │ │ │ │ │┄ Differences: {"'cells'": "{27: {'outputs': {0: {'text': {insert: [(18, " │ │ │ │ │┄ "'=================================================================================\\n')], " │ │ │ │ │┄ 'delete: [18]}}, delete: [1]}}}'} │ │ │ │ │ @@ -1075,22 +1075,15 @@ │ │ │ │ │ "=================================================================================\n", │ │ │ │ │ " coef std err z P>|z| [0.025 0.975]\n", │ │ │ │ │ "---------------------------------------------------------------------------------\n", │ │ │ │ │ "Intercept 2.7155 0.107 25.294 0.000 2.505 2.926\n", │ │ │ │ │ "rate_marriage -0.4952 0.012 -41.702 0.000 -0.518 -0.472\n", │ │ │ │ │ "age -0.0299 0.004 -6.691 0.000 -0.039 -0.021\n", │ │ │ │ │ "yrs_married -0.0108 0.004 -2.507 0.012 -0.019 -0.002\n", │ │ │ │ │ - "=================================================================================" │ │ │ │ │ - ] │ │ │ │ │ - }, │ │ │ │ │ - { │ │ │ │ │ - "name": "stdout", │ │ │ │ │ - "output_type": "stream", │ │ │ │ │ - "text": [ │ │ │ │ │ - "\n" │ │ │ │ │ + "=================================================================================\n" │ │ │ │ │ ] │ │ │ │ │ } │ │ │ │ │ ], │ │ │ │ │ "source": [ │ │ │ │ │ "glm = smf.glm(\n", │ │ │ │ │ " \"affairs ~ rate_marriage + age + yrs_married\",\n", │ │ │ │ │ " data=dc,\n", │ │ │ ├── ./usr/share/doc/python-statsmodels-doc/html/_sources/examples/notebooks/generated/stats_poisson.ipynb.txt │ │ │ │ ├── Pretty-printed │ │ │ │ │┄ Similarity: 0.9998643663194444% │ │ │ │ │┄ Differences: {"'cells'": "{28: {'outputs': {1: {'text': {delete: [2, 1, 0]}}, insert: [(0, OrderedDict({'name': " │ │ │ │ │┄ "'stdout', 'output_type': 'stream', 'text': ['ratio\\n', ' waldcc " │ │ │ │ │┄ "(np.float64(1.354190544703406), np.float64(3.233964238781885))\\n', ' score " │ │ │ │ │┄ "(np.float64(1.3659624311981189), np.float64(3.2593061483872257))\\n']}))]}}}"} │ │ │ │ │ @@ -647,15 +647,21 @@ │ │ │ │ │ "outputs": [ │ │ │ │ │ { │ │ │ │ │ "name": "stdout", │ │ │ │ │ "output_type": "stream", │ │ │ │ │ "text": [ │ │ │ │ │ "ratio\n", │ │ │ │ │ " waldcc (np.float64(1.354190544703406), np.float64(3.233964238781885))\n", │ │ │ │ │ - " score (np.float64(1.3659624311981189), np.float64(3.2593061483872257))\n", │ │ │ │ │ + " score (np.float64(1.3659624311981189), np.float64(3.2593061483872257))\n" │ │ │ │ │ + ] │ │ │ │ │ + }, │ │ │ │ │ + { │ │ │ │ │ + "name": "stdout", │ │ │ │ │ + "output_type": "stream", │ │ │ │ │ + "text": [ │ │ │ │ │ " score-log (np.float64(1.3903411228996467), np.float64(3.4348249508085043))\n", │ │ │ │ │ " wald-log (np.float64(1.3612801263025065), np.float64(3.2705169691290763))\n", │ │ │ │ │ " sqrtcc (np.float64(1.29635711135392), np.float64(3.132234781692197))\n", │ │ │ │ │ " mover (np.float64(1.3614682485833316), np.float64(3.258622814678696))\n", │ │ │ │ │ "diff\n", │ │ │ │ │ " wald (np.float64(0.02581223514639487), np.float64(0.09681978201711487))\n", │ │ │ │ │ " score (np.float64(0.026579645509259224), np.float64(0.0989192191413259))\n", │ │ │ ├── ./usr/share/doc/python-statsmodels-doc/html/_sources/examples/notebooks/generated/tsa_arma_0.ipynb.txt │ │ │ │ ├── Pretty-printed │ │ │ │ │ @@ -858,15 +858,22 @@ │ │ │ │ │ "19.0 -0.023378 6.789205 0.995255\n", │ │ │ │ │ "20.0 0.002398 6.792213 0.997313\n", │ │ │ │ │ "21.0 0.000488 6.792338 0.998515\n", │ │ │ │ │ "22.0 0.017953 6.961578 0.999024\n", │ │ │ │ │ "23.0 -0.038576 7.744617 0.998744\n", │ │ │ │ │ "24.0 -0.029817 8.213410 0.998859\n", │ │ │ │ │ "25.0 0.077850 11.415980 0.990674\n", │ │ │ │ │ - "26.0 0.040407 12.280577 0.989478\n" │ │ │ │ │ + "26.0 0.040407 12.280577 0.989478" │ │ │ │ │ + ] │ │ │ │ │ + }, │ │ │ │ │ + { │ │ │ │ │ + "name": "stdout", │ │ │ │ │ + "output_type": "stream", │ │ │ │ │ + "text": [ │ │ │ │ │ + "\n" │ │ │ │ │ ] │ │ │ │ │ } │ │ │ │ │ ], │ │ │ │ │ "source": [ │ │ │ │ │ "arma41 = ARIMA(arma_rvs, order=(4, 0, 1)).fit()\n", │ │ │ │ │ "resid = arma41.resid\n", │ │ │ │ │ "r, q, p = sm.tsa.acf(resid, nlags=lags, fft=True, qstat=True)\n", │ │ │ ├── ./usr/share/doc/python-statsmodels-doc/html/examples/notebooks/generated/discrete_choice_overview.ipynb.gz │ │ │ │ ├── discrete_choice_overview.ipynb │ │ │ │ │ ├── Pretty-printed │ │ │ │ │ │┄ Similarity: 0.9999625206782465% │ │ │ │ │ │┄ Differences: {"'cells'": "{26: {'outputs': {0: {'text': ['Optimization terminated successfully.\\n', ' " │ │ │ │ │ │┄ "Current function value: 3.091609\\n', ' Iterations 6\\n']}, 1: {'text': " │ │ │ │ │ │┄ '{delete: [2, 1, 0]}}}}}'} │ │ │ │ │ │ @@ -446,24 +446,23 @@ │ │ │ │ │ │ } │ │ │ │ │ │ }, │ │ │ │ │ │ "outputs": [ │ │ │ │ │ │ { │ │ │ │ │ │ "name": "stdout", │ │ │ │ │ │ "output_type": "stream", │ │ │ │ │ │ "text": [ │ │ │ │ │ │ - "Optimization terminated successfully." │ │ │ │ │ │ + "Optimization terminated successfully.\n", │ │ │ │ │ │ + " Current function value: 3.091609\n", │ │ │ │ │ │ + " Iterations 6\n" │ │ │ │ │ │ ] │ │ │ │ │ │ }, │ │ │ │ │ │ { │ │ │ │ │ │ "name": "stdout", │ │ │ │ │ │ "output_type": "stream", │ │ │ │ │ │ "text": [ │ │ │ │ │ │ - "\n", │ │ │ │ │ │ - " Current function value: 3.091609\n", │ │ │ │ │ │ - " Iterations 6\n", │ │ │ │ │ │ " Poisson Regression Results \n", │ │ │ │ │ │ "==============================================================================\n", │ │ │ │ │ │ "Dep. Variable: mdvis No. Observations: 20190\n", │ │ │ │ │ │ "Model: Poisson Df Residuals: 20180\n", │ │ │ │ │ │ "Method: MLE Df Model: 9\n", │ │ │ │ │ │ "Date: Sun, 10 Aug 2025 Pseudo R-squ.: 0.06343\n", │ │ │ │ │ │ "Time: 13:13:47 Log-Likelihood: -62420.\n", │ │ │ ├── ./usr/share/doc/python-statsmodels-doc/html/examples/notebooks/generated/generic_mle.ipynb.gz │ │ │ │ ├── generic_mle.ipynb │ │ │ │ │ ├── Pretty-printed │ │ │ │ │ │┄ Similarity: 0.9998966408268735% │ │ │ │ │ │┄ Differences: {"'cells'": "{29: {'outputs': {1: {'text': {insert: [(0, '\\n')], delete: [0]}}, insert: [(0, " │ │ │ │ │ │┄ "OrderedDict({'name': 'stdout', 'output_type': 'stream', 'text': ['Optimization " │ │ │ │ │ │┄ "terminated successfully.']}))]}}}"} │ │ │ │ │ │ @@ -622,15 +622,22 @@ │ │ │ │ │ │ } │ │ │ │ │ │ }, │ │ │ │ │ │ "outputs": [ │ │ │ │ │ │ { │ │ │ │ │ │ "name": "stdout", │ │ │ │ │ │ "output_type": "stream", │ │ │ │ │ │ "text": [ │ │ │ │ │ │ - "Optimization terminated successfully.\n", │ │ │ │ │ │ + "Optimization terminated successfully." │ │ │ │ │ │ + ] │ │ │ │ │ │ + }, │ │ │ │ │ │ + { │ │ │ │ │ │ + "name": "stdout", │ │ │ │ │ │ + "output_type": "stream", │ │ │ │ │ │ + "text": [ │ │ │ │ │ │ + "\n", │ │ │ │ │ │ " Current function value: 3.967477\n", │ │ │ │ │ │ " Iterations: 249\n", │ │ │ │ │ │ " Function evaluations: 412\n" │ │ │ │ │ │ ] │ │ │ │ │ │ }, │ │ │ │ │ │ { │ │ │ │ │ │ "name": "stderr", │ │ │ ├── ./usr/share/doc/python-statsmodels-doc/html/examples/notebooks/generated/glm_weights.ipynb.gz │ │ │ │ ├── glm_weights.ipynb │ │ │ │ │ ├── Pretty-printed │ │ │ │ │ │┄ Similarity: 0.9999163925438597% │ │ │ │ │ │┄ Differences: {"'cells'": "{27: {'outputs': {0: {'text': {insert: [(18, " │ │ │ │ │ │┄ "'=================================================================================\\n')], " │ │ │ │ │ │┄ 'delete: [18]}}, delete: [1]}}}'} │ │ │ │ │ │ @@ -1075,22 +1075,15 @@ │ │ │ │ │ │ "=================================================================================\n", │ │ │ │ │ │ " coef std err z P>|z| [0.025 0.975]\n", │ │ │ │ │ │ "---------------------------------------------------------------------------------\n", │ │ │ │ │ │ "Intercept 2.7155 0.107 25.294 0.000 2.505 2.926\n", │ │ │ │ │ │ "rate_marriage -0.4952 0.012 -41.702 0.000 -0.518 -0.472\n", │ │ │ │ │ │ "age -0.0299 0.004 -6.691 0.000 -0.039 -0.021\n", │ │ │ │ │ │ "yrs_married -0.0108 0.004 -2.507 0.012 -0.019 -0.002\n", │ │ │ │ │ │ - "=================================================================================" │ │ │ │ │ │ - ] │ │ │ │ │ │ - }, │ │ │ │ │ │ - { │ │ │ │ │ │ - "name": "stdout", │ │ │ │ │ │ - "output_type": "stream", │ │ │ │ │ │ - "text": [ │ │ │ │ │ │ - "\n" │ │ │ │ │ │ + "=================================================================================\n" │ │ │ │ │ │ ] │ │ │ │ │ │ } │ │ │ │ │ │ ], │ │ │ │ │ │ "source": [ │ │ │ │ │ │ "glm = smf.glm(\n", │ │ │ │ │ │ " \"affairs ~ rate_marriage + age + yrs_married\",\n", │ │ │ │ │ │ " data=dc,\n", │ │ │ ├── ./usr/share/doc/python-statsmodels-doc/html/examples/notebooks/generated/stats_poisson.ipynb.gz │ │ │ │ ├── stats_poisson.ipynb │ │ │ │ │ ├── Pretty-printed │ │ │ │ │ │┄ Similarity: 0.9998643663194444% │ │ │ │ │ │┄ Differences: {"'cells'": "{28: {'outputs': {1: {'text': {delete: [2, 1, 0]}}, insert: [(0, OrderedDict({'name': " │ │ │ │ │ │┄ "'stdout', 'output_type': 'stream', 'text': ['ratio\\n', ' waldcc " │ │ │ │ │ │┄ "(np.float64(1.354190544703406), np.float64(3.233964238781885))\\n', ' score " │ │ │ │ │ │┄ "(np.float64(1.3659624311981189), np.float64(3.2593061483872257))\\n']}))]}}}"} │ │ │ │ │ │ @@ -647,15 +647,21 @@ │ │ │ │ │ │ "outputs": [ │ │ │ │ │ │ { │ │ │ │ │ │ "name": "stdout", │ │ │ │ │ │ "output_type": "stream", │ │ │ │ │ │ "text": [ │ │ │ │ │ │ "ratio\n", │ │ │ │ │ │ " waldcc (np.float64(1.354190544703406), np.float64(3.233964238781885))\n", │ │ │ │ │ │ - " score (np.float64(1.3659624311981189), np.float64(3.2593061483872257))\n", │ │ │ │ │ │ + " score (np.float64(1.3659624311981189), np.float64(3.2593061483872257))\n" │ │ │ │ │ │ + ] │ │ │ │ │ │ + }, │ │ │ │ │ │ + { │ │ │ │ │ │ + "name": "stdout", │ │ │ │ │ │ + "output_type": "stream", │ │ │ │ │ │ + "text": [ │ │ │ │ │ │ " score-log (np.float64(1.3903411228996467), np.float64(3.4348249508085043))\n", │ │ │ │ │ │ " wald-log (np.float64(1.3612801263025065), np.float64(3.2705169691290763))\n", │ │ │ │ │ │ " sqrtcc (np.float64(1.29635711135392), np.float64(3.132234781692197))\n", │ │ │ │ │ │ " mover (np.float64(1.3614682485833316), np.float64(3.258622814678696))\n", │ │ │ │ │ │ "diff\n", │ │ │ │ │ │ " wald (np.float64(0.02581223514639487), np.float64(0.09681978201711487))\n", │ │ │ │ │ │ " score (np.float64(0.026579645509259224), np.float64(0.0989192191413259))\n", │ │ │ ├── ./usr/share/doc/python-statsmodels-doc/html/examples/notebooks/generated/tsa_arma_0.ipynb.gz │ │ │ │ ├── tsa_arma_0.ipynb │ │ │ │ │ ├── Pretty-printed │ │ │ │ │ │ @@ -858,15 +858,22 @@ │ │ │ │ │ │ "19.0 -0.023378 6.789205 0.995255\n", │ │ │ │ │ │ "20.0 0.002398 6.792213 0.997313\n", │ │ │ │ │ │ "21.0 0.000488 6.792338 0.998515\n", │ │ │ │ │ │ "22.0 0.017953 6.961578 0.999024\n", │ │ │ │ │ │ "23.0 -0.038576 7.744617 0.998744\n", │ │ │ │ │ │ "24.0 -0.029817 8.213410 0.998859\n", │ │ │ │ │ │ "25.0 0.077850 11.415980 0.990674\n", │ │ │ │ │ │ - "26.0 0.040407 12.280577 0.989478\n" │ │ │ │ │ │ + "26.0 0.040407 12.280577 0.989478" │ │ │ │ │ │ + ] │ │ │ │ │ │ + }, │ │ │ │ │ │ + { │ │ │ │ │ │ + "name": "stdout", │ │ │ │ │ │ + "output_type": "stream", │ │ │ │ │ │ + "text": [ │ │ │ │ │ │ + "\n" │ │ │ │ │ │ ] │ │ │ │ │ │ } │ │ │ │ │ │ ], │ │ │ │ │ │ "source": [ │ │ │ │ │ │ "arma41 = ARIMA(arma_rvs, order=(4, 0, 1)).fit()\n", │ │ │ │ │ │ "resid = arma41.resid\n", │ │ │ │ │ │ "r, q, p = sm.tsa.acf(resid, nlags=lags, fft=True, qstat=True)\n", │ │ │ ├── ./usr/share/doc/python-statsmodels-doc/html/searchindex.js │ │ │ │ ├── js-beautify {} │ │ │ │ │ @@ -51933,15 +51933,15 @@ │ │ │ │ │ "0099": [198, 207], │ │ │ │ │ "009925": 207, │ │ │ │ │ "00994468": 226, │ │ │ │ │ "009958": 218, │ │ │ │ │ "009996": 243, │ │ │ │ │ "009999999999999981": 255, │ │ │ │ │ "009d91": 225, │ │ │ │ │ - "01": [26, 34, 183, 188, 190, 196, 197, 201, 202, 203, 206, 210, 214, 216, 217, 219, 220, 221, 229, 230, 233, 234, 236, 239, 240, 241, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 257, 258, 260, 261, 265, 267, 268, 371, 388, 446, 504, 563, 619, 674, 727, 791, 854, 874, 931, 949, 1013, 1034, 1096, 1151, 1168, 1468, 1476, 1506, 1596, 1771, 1886, 1925, 2023, 2052, 2078, 2546, 3731, 3736, 3885, 4144, 4197, 4692, 4956, 5070, 6096, 6104, 6339, 6409, 6413, 6414, 6418, 6431, 6441, 6453, 6454, 6466], │ │ │ │ │ + "01": [26, 190, 196, 197, 201, 202, 203, 206, 210, 214, 216, 217, 219, 220, 221, 229, 230, 233, 234, 236, 239, 240, 241, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 257, 258, 260, 261, 265, 371, 388, 446, 504, 563, 619, 674, 727, 791, 854, 874, 931, 949, 1013, 1034, 1096, 1151, 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267, 6460], │ │ │ │ │ "0300": 207, │ │ │ │ │ "030006e": 259, │ │ │ │ │ "03008666": 226, │ │ │ │ │ "030107620863485878": 263, │ │ │ │ │ "0302": 232, │ │ │ │ │ "030257": 219, │ │ │ │ │ @@ -52437,15 +52437,15 @@ │ │ │ │ │ "039353": 196, │ │ │ │ │ "039434": 218, │ │ │ │ │ "03959242": 196, │ │ │ │ │ "039813": 2671, │ │ │ │ │ "03994274": [66, 104, 275, 347, 404, 462, 520, 577, 632, 687, 745, 810, 888, 967, 1053, 1109, 1183, 1223, 1430, 1535, 2102, 2168, 2384, 2575, 2858, 2910, 3063, 3134, 3227, 3503, 3564, 4305, 4384, 4470, 4573, 4767, 5021, 5128, 5231, 5541, 5704, 5922, 6037], │ │ │ │ │ "0399661": 196, │ │ │ │ │ "039972": 260, │ │ │ │ │ - "04": [34, 188, 196, 197, 201, 203, 205, 207, 209, 210, 216, 217, 243, 245, 246, 247, 250, 253, 255, 257, 258, 3736, 5070, 6453, 6460], │ │ │ │ │ + "04": [34, 188, 196, 197, 201, 203, 205, 207, 209, 210, 216, 217, 243, 245, 246, 247, 250, 253, 255, 257, 258, 3736, 5070, 6413, 6414, 6418, 6431, 6441, 6453, 6460, 6466], │ │ │ │ │ "040": [34, 198, 199, 207, 208, 209, 222, 2671, 6414, 6441], │ │ │ │ │ "0400": 198, │ │ │ │ │ "040010": 260, │ │ │ │ │ "040056": 222, │ │ │ │ │ "0402": 222, │ │ │ │ │ "04024948": 222, │ │ │ │ │ "040258": 219, │ │ │ │ │ @@ -52548,15 +52548,15 @@ │ │ │ │ │ "049379621506455": 195, │ │ │ │ │ "049393": 234, │ │ │ │ │ "0495": 246, │ │ │ │ │ "04986002": 226, │ │ │ │ │ "0499": 217, │ │ │ │ │ "04992618e": 246, │ │ │ │ │ "049956": 219, │ │ │ │ │ - "05": [34, 66, 84, 86, 90, 104, 117, 121, 144, 145, 147, 148, 178, 188, 191, 196, 197, 198, 201, 202, 203, 207, 208, 210, 217, 219, 222, 228, 229, 234, 236, 244, 246, 247, 250, 252, 254, 255, 256, 257, 260, 261, 268, 275, 288, 292, 347, 358, 360, 364, 404, 432, 433, 435, 439, 462, 490, 491, 493, 497, 520, 548, 549, 551, 555, 577, 605, 606, 608, 612, 632, 660, 661, 663, 667, 687, 713, 714, 716, 720, 745, 775, 776, 778, 782, 810, 839, 840, 842, 846, 888, 917, 918, 920, 924, 967, 997, 998, 1000, 1004, 1053, 1082, 1083, 1085, 1089, 1109, 1137, 1138, 1140, 1144, 1183, 1211, 1212, 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│ "05101921": 226, │ │ │ │ │ @@ -53019,17 +53019,17 @@ │ │ │ │ │ "0x01": [5347, 5444, 5445, 5446, 5833, 5834, 5835], │ │ │ │ │ "0x02": [5444, 5445, 5833, 5834], │ │ │ │ │ "0x04": [5444, 5445, 5833, 5834], │ │ │ │ │ "0x08": [5444, 5445, 5833, 5834], │ │ │ │ │ "0x10": [5445, 5834], │ │ │ │ │ "0xa4fd94bc": 257, │ │ │ │ │ "0xadde5de1e8": [196, 198, 201, 202, 213, 222, 226, 227, 233, 234, 260, 265], │ │ │ │ │ - "0xffff3bebc440": 6466, │ │ │ │ │ - "0xffff3bebcad0": 6466, │ │ │ │ │ - "0xffff3bebd160": 6466, │ │ │ │ │ + "0xffff2c865940": 6466, │ │ │ │ │ + "0xffff2c865a90": 6466, │ │ │ │ │ + "0xffff2c866120": 6466, │ │ │ │ │ "1": [1, 4, 5, 6, 11, 13, 14, 15, 17, 20, 21, 23, 24, 26, 27, 28, 31, 32, 33, 34, 39, 46, 47, 50, 59, 62, 66, 67, 71, 85, 86, 90, 95, 97, 102, 104, 105, 106, 116, 117, 121, 122, 126, 131, 177, 178, 179, 183, 185, 186, 188, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 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│ │ │ │ │ "2208": 250, │ │ │ │ │ @@ -54694,15 +54694,15 @@ │ │ │ │ │ "229": [210, 217, 259, 1703], │ │ │ │ │ "2295": 250, │ │ │ │ │ "229501": 222, │ │ │ │ │ "2297": 6455, │ │ │ │ │ "2298": 250, │ │ │ │ │ "2299988524962664": 1475, │ │ │ │ │ "229998852496268": 1475, │ │ │ │ │ - "23": [4, 5, 6, 185, 188, 197, 198, 199, 201, 202, 203, 206, 207, 209, 211, 219, 222, 225, 226, 232, 234, 236, 243, 246, 247, 255, 256, 257, 259, 260, 262, 267, 2188, 2189, 3736, 3824, 3974, 3981, 4804, 4805, 6166, 6170, 6198, 6206, 6267, 6271, 6298, 6306, 6418, 6466], │ │ │ │ │ + "23": [4, 5, 6, 185, 188, 197, 198, 199, 201, 202, 203, 206, 207, 209, 211, 219, 222, 225, 226, 232, 234, 236, 243, 246, 247, 255, 256, 257, 259, 260, 262, 267, 2188, 2189, 3736, 3824, 3974, 3981, 4804, 4805, 6166, 6170, 6198, 6206, 6267, 6271, 6298, 6306, 6418, 6441, 6466], │ │ │ │ │ "230": [229, 259, 267], │ │ │ │ │ "230003": [86, 117, 288, 360, 435, 493, 551, 608, 663, 716, 778, 842, 920, 1000, 1085, 1140, 1214, 1254, 1448, 1582, 2012, 2142, 2182, 2410, 2608, 2741, 2805, 2882, 2932, 3003, 3116, 3244, 3520, 3584, 3639, 4334, 4413, 4499, 4616, 4792, 5061, 5169, 5269, 5579, 5747, 5966, 6075], │ │ │ │ │ "2302": 250, │ │ │ │ │ "230390": 219, │ │ │ │ │ "230588e": 260, │ │ │ │ │ "23061844": 2653, │ │ │ │ │ "23065363652113885": 255, │ │ │ │ │ @@ -54833,15 +54833,15 @@ │ │ │ │ │ "249": [85, 116, 206, 287, 359, 434, 492, 550, 607, 662, 715, 777, 841, 919, 999, 1084, 1139, 1213, 1253, 1447, 1581, 2011, 2141, 2181, 2409, 2607, 2740, 2804, 2931, 3002, 3115, 3243, 3519, 3583, 3638, 4333, 4412, 4498, 4615, 4791, 5060, 5168, 5268, 5578, 5746, 5965, 6074], │ │ │ │ │ "249677": 219, │ │ │ │ │ "2497": 201, │ │ │ │ │ "249741": 263, │ │ │ │ │ "24988624": 233, │ │ │ │ │ "249997": 219, │ │ │ │ │ "24e": [209, 6414], │ │ │ │ │ - "25": [4, 5, 6, 12, 185, 188, 193, 197, 198, 200, 201, 206, 207, 208, 209, 213, 214, 219, 220, 222, 226, 227, 228, 229, 232, 234, 243, 246, 247, 250, 252, 255, 256, 257, 259, 260, 261, 262, 265, 267, 1398, 1399, 2189, 2197, 2198, 2212, 2487, 2488, 2498, 2516, 2523, 3736, 3775, 3777, 3890, 3898, 4001, 4179, 4183, 4184, 4625, 4631, 4633, 4647, 4692, 4808, 6087, 6413, 6414, 6418, 6427, 6431, 6434, 6441, 6452, 6460, 6466], │ │ │ │ │ + "25": [4, 5, 6, 12, 185, 188, 193, 197, 198, 200, 201, 206, 207, 208, 209, 213, 214, 219, 220, 222, 226, 227, 228, 229, 232, 234, 243, 246, 247, 250, 252, 255, 256, 257, 259, 260, 261, 262, 265, 267, 1398, 1399, 2189, 2197, 2198, 2212, 2487, 2488, 2498, 2516, 2523, 3736, 3775, 3777, 3890, 3898, 4001, 4179, 4183, 4184, 4625, 4631, 4633, 4647, 4692, 4808, 6087, 6413, 6427, 6434, 6452, 6460, 6466], │ │ │ │ │ "250": [199, 213, 219, 224, 249, 260, 261, 267, 4625, 4647, 6087], │ │ │ │ │ "250076": 219, │ │ │ │ │ "25013583": 226, │ │ │ │ │ "25021179e": 196, │ │ │ │ │ "2504": 219, │ │ │ │ │ "250425": 219, │ │ │ │ │ "2505": 219, │ │ │ │ │ @@ -54913,15 +54913,15 @@ │ │ │ │ │ "259014": 219, │ │ │ │ │ "259120": 211, │ │ │ │ │ "2593061483872257": 255, │ │ │ │ │ "259426": [34, 210], │ │ │ │ │ "2595": 219, │ │ │ │ │ "25987342": 227, │ │ │ │ │ "259890": 198, │ │ │ │ │ - "26": [4, 5, 185, 188, 193, 197, 198, 199, 201, 202, 207, 209, 219, 222, 226, 229, 232, 234, 238, 243, 246, 247, 250, 252, 255, 257, 259, 260, 267, 2531, 2533, 2541, 2543, 3736, 4013, 6413, 6414, 6418, 6448, 6449, 6460, 6466], │ │ │ │ │ + "26": [4, 5, 185, 188, 193, 197, 198, 199, 201, 202, 207, 209, 219, 222, 226, 229, 232, 234, 238, 243, 246, 247, 250, 252, 255, 257, 259, 260, 267, 2531, 2533, 2541, 2543, 3736, 4013, 6448, 6449, 6460, 6466], │ │ │ │ │ "260": [188, 201, 202, 203, 206, 263, 6413], │ │ │ │ │ "260000": 219, │ │ │ │ │ "26004685": [3779, 4635, 4648], │ │ │ │ │ "26010": 198, │ │ │ │ │ "2603": 3885, │ │ │ │ │ "26032253": 233, │ │ │ │ │ "260401": 5070, │ │ │ │ │ @@ -55118,15 +55118,15 @@ │ │ │ │ │ "288e": 220, │ │ │ │ │ "289": [5, 34, 191, 217, 259, 263, 4460, 6367, 6423], │ │ │ │ │ "289091": 222, │ │ │ │ │ "28916": 198, │ │ │ │ │ "2896": 6434, │ │ │ │ │ "289765": 201, │ │ │ │ │ "28th": 4880, │ │ │ │ │ - "29": [4, 5, 6, 185, 188, 198, 201, 202, 207, 209, 211, 219, 226, 229, 234, 243, 245, 246, 247, 250, 257, 260, 261, 262, 263, 265, 2195, 2196, 2197, 3096, 3184, 3736, 4601, 4692, 5047, 5070, 5155, 5256, 5478, 5566, 5597, 5732, 5950, 6062, 6441, 6466], │ │ │ │ │ + "29": [4, 5, 6, 185, 188, 198, 201, 202, 207, 209, 211, 219, 226, 229, 234, 243, 245, 246, 247, 250, 257, 260, 261, 262, 263, 265, 2195, 2196, 2197, 3096, 3184, 3736, 4601, 4692, 5047, 5070, 5155, 5256, 5478, 5566, 5597, 5732, 5950, 6062, 6466], │ │ │ │ │ "290": [198, 202, 217, 246, 258, 267, 4820, 4828], │ │ │ │ │ "2900": 4, │ │ │ │ │ "2902": 232, │ │ │ │ │ "2904": 34, │ │ │ │ │ "290458": 6466, │ │ │ │ │ "29048685": 222, │ │ │ │ │ "290908": 5070, │ │ │ │ │ @@ -55357,15 +55357,15 @@ │ │ │ │ │ "3192": 6441, │ │ │ │ │ "3193": 6456, │ │ │ │ │ "3197": 202, │ │ │ │ │ "3198": 229, │ │ │ │ │ "31983274e": 196, │ │ │ │ │ "319913": 6466, │ │ │ │ │ "31e": 207, │ │ │ │ │ - "32": [4, 5, 27, 28, 183, 185, 188, 198, 199, 201, 202, 206, 207, 209, 212, 219, 222, 226, 234, 243, 246, 247, 257, 260, 262, 263, 267, 1356, 1459, 3736, 4001, 4801, 4802, 6414, 6431, 6437, 6441], │ │ │ │ │ + "32": [4, 5, 27, 28, 183, 185, 188, 198, 199, 201, 202, 206, 207, 209, 212, 219, 222, 226, 234, 243, 246, 247, 257, 260, 262, 263, 1356, 1459, 3736, 4001, 4801, 4802, 6414, 6431, 6437, 6441], │ │ │ │ │ "320": [198, 229, 233, 257, 6234, 6332, 6399], │ │ │ │ │ "320310": 198, │ │ │ │ │ "3204": 6456, │ │ │ │ │ "3206": 259, │ │ │ │ │ "320758": 260, │ │ │ │ │ "321": [34, 198, 202, 207, 211, 224, 229, 257, 4004, 6234, 6332, 6399], │ │ │ │ │ "321058": 197, │ │ │ │ │ @@ -55427,15 +55427,15 @@ │ │ │ │ │ "32867305": 226, │ │ │ │ │ "3287": 202, │ │ │ │ │ "328975": [34, 210], │ │ │ │ │ "329": [199, 202, 224, 257, 6453], │ │ │ │ │ "32am": 243, │ │ │ │ │ "32e": [188, 203], │ │ │ │ │ "32pm": 243, │ │ │ │ │ - "33": [4, 5, 185, 188, 196, 198, 201, 202, 206, 208, 209, 211, 219, 220, 226, 234, 237, 246, 257, 260, 263, 2642, 2659, 2677, 2818, 2835, 3736, 4142, 4143, 4144, 4146, 5344, 5441, 5444, 5830, 5833, 6431, 6466], │ │ │ │ │ + "33": [4, 5, 185, 188, 196, 198, 201, 202, 206, 208, 209, 211, 219, 220, 226, 234, 237, 246, 257, 260, 263, 2642, 2659, 2677, 2818, 2835, 3736, 4142, 4143, 4144, 4146, 5344, 5441, 5444, 5830, 5833, 6431], │ │ │ │ │ "330": [71, 106, 222, 229, 257, 260, 277, 349, 406, 464, 522, 579, 634, 689, 747, 812, 890, 969, 1055, 1111, 1185, 1225, 1432, 1540, 1964, 2105, 2170, 2389, 2580, 2712, 2778, 2863, 2917, 2974, 3075, 3229, 3505, 3566, 3611, 4310, 4389, 4475, 4582, 4771, 5030, 5137, 5240, 5550, 5713, 5932, 6046], │ │ │ │ │ "3301": 1353, │ │ │ │ │ "3303": 6456, │ │ │ │ │ "330875": 262, │ │ │ │ │ "331": [198, 207, 217, 224, 229, 246, 257, 263, 6452], │ │ │ │ │ "3311": 202, │ │ │ │ │ "331351": 222, │ │ │ │ │ @@ -55944,15 +55944,15 @@ │ │ │ │ │ "409": [34, 206, 6452], │ │ │ │ │ "4096": [201, 3779, 4635, 4648], │ │ │ │ │ "409646": 226, │ │ │ │ │ "40976931": 2504, │ │ │ │ │ "409830": 219, │ │ │ │ │ "409877": 198, │ │ │ │ │ "40e": [188, 203], │ │ │ │ │ - "41": [4, 5, 22, 185, 188, 197, 198, 201, 202, 203, 209, 219, 227, 233, 234, 246, 250, 257, 260, 268, 1353, 3210, 3736, 6413, 6447, 6457], │ │ │ │ │ + "41": [4, 5, 22, 185, 188, 197, 198, 201, 202, 203, 209, 219, 227, 233, 234, 246, 250, 257, 260, 267, 1353, 3210, 3736, 6413, 6447, 6457], │ │ │ │ │ "410": [208, 224, 265, 6452], │ │ │ │ │ "4100": 185, │ │ │ │ │ "4101": 185, │ │ │ │ │ "4102": 185, │ │ │ │ │ "4103": 185, │ │ │ │ │ "4104": [185, 6456], │ │ │ │ │ "4107": 6439, │ │ │ │ │ @@ -56707,15 +56707,15 @@ │ │ │ │ │ "50918122": 227, │ │ │ │ │ "5092": 267, │ │ │ │ │ "50927459": 233, │ │ │ │ │ "5093": 6434, │ │ │ │ │ "5096": 6434, │ │ │ │ │ "5099": 6434, │ │ │ │ │ "50k": 225, │ │ │ │ │ - "51": [4, 5, 25, 31, 90, 121, 188, 201, 202, 203, 209, 219, 222, 224, 228, 232, 234, 246, 256, 260, 265, 267, 292, 364, 439, 497, 555, 612, 667, 720, 782, 846, 924, 1004, 1089, 1144, 1218, 1258, 1452, 1587, 2016, 2146, 2186, 2414, 2612, 2746, 2810, 2886, 2936, 3008, 3124, 3248, 3524, 3588, 3644, 3736, 4001, 4140, 4148, 4341, 4420, 4506, 4623, 4799, 5068, 5176, 5276, 5586, 5754, 5974, 6082, 6413], │ │ │ │ │ + "51": [4, 5, 25, 31, 90, 121, 183, 188, 201, 202, 203, 209, 219, 222, 224, 228, 232, 234, 246, 256, 260, 265, 267, 268, 292, 364, 439, 497, 555, 612, 667, 720, 782, 846, 924, 1004, 1089, 1144, 1218, 1258, 1452, 1587, 2016, 2146, 2186, 2414, 2612, 2746, 2810, 2886, 2936, 3008, 3124, 3248, 3524, 3588, 3644, 3736, 4001, 4140, 4148, 4341, 4420, 4506, 4623, 4799, 5068, 5176, 5276, 5586, 5754, 5974, 6082, 6413], │ │ │ │ │ "510": [193, 217, 231, 246, 6418, 6452], │ │ │ │ │ "5103": 6434, │ │ │ │ │ "5105": 6434, │ │ │ │ │ "5109": 226, │ │ │ │ │ "511": [246, 247], │ │ │ │ │ "511024": 263, │ │ │ │ │ "51136093": 227, │ │ │ │ │ @@ -56937,15 +56937,15 @@ │ │ │ │ │ "5390": 6434, │ │ │ │ │ "53906618": 227, │ │ │ │ │ "5392": 220, │ │ │ │ │ "539418": 201, │ │ │ │ │ "5395": 6434, │ │ │ │ │ "5397": 6434, │ │ │ │ │ "5399": 6434, │ │ │ │ │ - "54": [4, 5, 34, 195, 196, 197, 201, 206, 209, 226, 234, 247, 257, 260, 263, 3736, 4120, 6096], │ │ │ │ │ + "54": [4, 5, 188, 195, 196, 197, 201, 206, 209, 226, 234, 247, 257, 260, 263, 3736, 4120, 6096], │ │ │ │ │ "540": 259, │ │ │ │ │ "54069522e": 206, │ │ │ │ │ "540955": 228, │ │ │ │ │ "540984": 219, │ │ │ │ │ "541": [198, 228, 252, 268, 6452], │ │ │ │ │ "5414": 6434, │ │ │ │ │ "5415": 6434, │ │ │ │ │ @@ -57086,15 +57086,15 @@ │ │ │ │ │ "5592": 6434, │ │ │ │ │ "5593": 6434, │ │ │ │ │ "5594": 6434, │ │ │ │ │ "5595": 6434, │ │ │ │ │ "5596": 6434, │ │ │ │ │ "5597": 6434, │ │ │ │ │ "5599": 6434, │ │ │ │ │ - "56": [5, 34, 197, 201, 206, 219, 234, 236, 247, 257, 260, 3099, 3736, 4137, 4183, 4184, 6413], │ │ │ │ │ + "56": [5, 34, 183, 188, 197, 201, 206, 219, 234, 236, 247, 257, 260, 3099, 3736, 4137, 4183, 4184, 6413], │ │ │ │ │ "5600": 6434, │ │ │ │ │ "5601": 6434, │ │ │ │ │ "5602": [228, 6434], │ │ │ │ │ "560379": [188, 203], │ │ │ │ │ "5604": 6434, │ │ │ │ │ "5605": [207, 6434], │ │ │ │ │ "5606": 6434, │ │ │ │ │ @@ -57200,15 +57200,15 @@ │ │ │ │ │ "5696": [220, 6434], │ │ │ │ │ "5697": [229, 6434], │ │ │ │ │ "569703249168": 236, │ │ │ │ │ "5698": 6434, │ │ │ │ │ "5699": 6434, │ │ │ │ │ "56992": [198, 207], │ │ │ │ │ "56e": [34, 6414], │ │ │ │ │ - "57": [5, 182, 183, 188, 197, 198, 201, 203, 207, 209, 217, 234, 235, 236, 246, 257, 260, 268, 1941, 2039, 2068, 2198, 3736, 6413, 6452, 6466], │ │ │ │ │ + "57": [5, 182, 188, 197, 198, 201, 203, 207, 209, 217, 234, 235, 236, 246, 257, 260, 268, 1941, 2039, 2068, 2198, 3736, 6413, 6452, 6466], │ │ │ │ │ "570": [197, 6452], │ │ │ │ │ "5700": 6434, │ │ │ │ │ "5700608835629815": 255, │ │ │ │ │ "5701": 6434, │ │ │ │ │ "57011015": 246, │ │ │ │ │ "5702": 6434, │ │ │ │ │ "5703": 6434, │ │ │ │ │ @@ -57303,15 +57303,15 @@ │ │ │ │ │ "5792": 6434, │ │ │ │ │ "5793": 6434, │ │ │ │ │ "5796": 6434, │ │ │ │ │ "5797": [202, 207, 6437], │ │ │ │ │ "5798": 6434, │ │ │ │ │ "579835": 228, │ │ │ │ │ "5799": 6437, │ │ │ │ │ - "58": [4, 5, 18, 188, 193, 197, 198, 201, 207, 224, 234, 246, 247, 257, 260, 2195, 3736], │ │ │ │ │ + "58": [4, 5, 18, 193, 197, 198, 201, 207, 224, 234, 246, 247, 257, 260, 2195, 3736], │ │ │ │ │ "580": [237, 6452], │ │ │ │ │ "5801": 6434, │ │ │ │ │ "580245": 219, │ │ │ │ │ "5803": 6434, │ │ │ │ │ "580351e": 260, │ │ │ │ │ "580455": 197, │ │ │ │ │ "5805": 6434, │ │ │ │ │ @@ -57392,15 +57392,15 @@ │ │ │ │ │ "58959162e": 206, │ │ │ │ │ "5897": [6435, 6437], │ │ │ │ │ "58974": 207, │ │ │ │ │ "589740": 198, │ │ │ │ │ "5898": 6437, │ │ │ │ │ "589923": 226, │ │ │ │ │ "58pdf": 185, │ │ │ │ │ - "59": [6, 196, 197, 198, 201, 202, 206, 207, 219, 227, 232, 234, 235, 236, 257, 260, 268, 1654, 3736, 3945, 4137, 5070, 6096], │ │ │ │ │ + "59": [6, 196, 197, 198, 201, 202, 206, 207, 219, 227, 232, 234, 235, 236, 257, 260, 267, 268, 1654, 3736, 3945, 4137, 5070, 6096], │ │ │ │ │ "590": [196, 925, 6452], │ │ │ │ │ "5901": 201, │ │ │ │ │ "590247": 228, │ │ │ │ │ "59026": 198, │ │ │ │ │ "590272": 201, │ │ │ │ │ "5903": [6435, 6437], │ │ │ │ │ "590682": 219, │ │ │ │ │ @@ -67140,15 +67140,15 @@ │ │ │ │ │ "occasion": [6419, 6438, 6439], │ │ │ │ │ "occup": [17, 34, 198, 209], │ │ │ │ │ "occupation_husb": [17, 198, 209], │ │ │ │ │ "occupi": 3727, │ │ │ │ │ "occur": [4, 5, 81, 113, 155, 185, 214, 256, 264, 284, 356, 425, 483, 541, 598, 653, 707, 768, 831, 910, 990, 1074, 1130, 1204, 1244, 1402, 1415, 1441, 1459, 1497, 1569, 1927, 1991, 2025, 2054, 2129, 2178, 2195, 2196, 2404, 2600, 2730, 2794, 2835, 2876, 2927, 2992, 3058, 3074, 3105, 3153, 3237, 3516, 3578, 3627, 3980, 4042, 4057, 4299, 4326, 4378, 4405, 4455, 4491, 4527, 4566, 4581, 4606, 4785, 5016, 5029, 5053, 5070, 5123, 5136, 5161, 5227, 5239, 5261, 5537, 5549, 5571, 5658, 5697, 5712, 5737, 5917, 5931, 5957, 6033, 6045, 6067, 6430, 6432, 6453], │ │ │ │ │ "occurr": [9, 2075, 2282, 2294, 4423], │ │ │ │ │ "ocean": [15, 2195, 2196, 2197], │ │ │ │ │ - "oct": [202, 249, 258, 6460], │ │ │ │ │ + "oct": [34, 183, 188, 202, 249, 258, 267, 268, 6413, 6414, 6418, 6431, 6441, 6460, 6466], │ │ │ │ │ "octal": 2253, │ │ │ │ │ "octil": 4183, │ │ │ │ │ "octob": [2697, 2765, 2961, 3598], │ │ │ │ │ "odd": [4, 221, 257, 1672, 1675, 1677, 1678, 1680, 2046, 2353, 3805, 3806, 3811, 3812, 3822, 3823, 3824, 3825, 3826, 3829, 3830, 3833, 3834, 3838, 3839, 3847, 3848, 3853, 3854, 3855, 3856, 3857, 3858, 3864, 3865, 3866, 3952, 3960, 4115, 4120, 4134, 4135, 4136, 4809, 4956, 4958, 6439, 6453], │ │ │ │ │ "odds_ratio": 3960, │ │ │ │ │ "oddsratio": 4, │ │ │ │ │ "oddsratio_pool": 3822, │ │ │ │ │ @@ -69189,15 +69189,15 @@ │ │ │ │ │ "semidefinit": [3878, 3885, 3887, 3888, 3976], │ │ │ │ │ "semin": 216, │ │ │ │ │ "semiparametr": 268, │ │ │ │ │ "send": [5, 174, 185, 6438, 6439], │ │ │ │ │ "sens": [5, 174, 177, 179, 187, 191, 194, 210, 221, 234, 237, 241, 251, 256, 258, 583, 639, 693, 752, 816, 894, 974, 1059, 1116, 1190, 1230, 1546, 1919, 1929, 1969, 2017, 2027, 2046, 2056, 2075, 2110, 2285, 3912, 4808, 4897, 5639], │ │ │ │ │ "sensibl": [3358, 3359, 6439], │ │ │ │ │ "sensit": [239, 244, 2196, 3819, 3844, 3875, 3926, 4124, 5639], │ │ │ │ │ - "sep": [5, 34, 183, 188, 193, 212, 216, 244, 247, 267, 268, 2195, 2196, 2197, 6109, 6413, 6414, 6418, 6431, 6441, 6466], │ │ │ │ │ + "sep": [5, 193, 212, 216, 244, 247, 2195, 2196, 2197, 6109], │ │ │ │ │ "separ": [46, 94, 179, 182, 188, 193, 196, 203, 212, 223, 224, 237, 240, 245, 252, 263, 310, 324, 336, 370, 387, 430, 445, 488, 503, 546, 561, 583, 603, 618, 639, 658, 673, 693, 711, 726, 752, 773, 789, 816, 837, 852, 872, 894, 915, 930, 948, 974, 995, 1011, 1032, 1059, 1080, 1095, 1116, 1135, 1150, 1167, 1190, 1209, 1230, 1249, 1380, 1491, 1546, 1578, 1628, 1644, 1969, 2075, 2110, 2138, 2198, 2210, 2215, 2220, 2239, 2253, 2256, 2276, 2297, 2302, 2321, 2339, 2353, 2358, 2419, 2499, 2504, 2509, 2517, 2836, 3502, 3563, 3704, 3716, 3930, 3931, 4148, 4212, 4217, 4226, 4508, 4968, 5070, 5072, 6101, 6413, 6419, 6428, 6430, 6453, 6460, 6462, 6464], │ │ │ │ │ "separate_param": [241, 5059, 6073], │ │ │ │ │ "seq": 3478, │ │ │ │ │ "sequenc": [4, 5, 46, 90, 94, 121, 194, 195, 204, 225, 234, 256, 270, 271, 272, 292, 310, 324, 336, 364, 370, 387, 439, 445, 497, 503, 555, 561, 612, 618, 667, 673, 720, 726, 782, 789, 846, 852, 872, 924, 930, 948, 1004, 1011, 1032, 1089, 1095, 1144, 1150, 1167, 1218, 1258, 1372, 1380, 1452, 1587, 1672, 1981, 2005, 2016, 2146, 2186, 2188, 2189, 2192, 2195, 2196, 2197, 2210, 2223, 2235, 2253, 2289, 2302, 2321, 2339, 2358, 2414, 2419, 2470, 2516, 2523, 2546, 2547, 2612, 2746, 2810, 2830, 2834, 2886, 2894, 2936, 3008, 3124, 3248, 3279, 3304, 3329, 3354, 3385, 3410, 3441, 3466, 3524, 3588, 3644, 3747, 3760, 3890, 3898, 3930, 3931, 3982, 4341, 4343, 4354, 4420, 4429, 4460, 4506, 4623, 4657, 4692, 4799, 4809, 4958, 5068, 5176, 5276, 5586, 5754, 5974, 6082, 6159, 6233, 6234, 6260, 6299, 6331, 6332, 6398, 6399, 6434, 6456, 6464], │ │ │ │ │ "sequenti": [270, 272, 3728, 6434], │ │ │ │ │ "seri": [3, 4, 9, 18, 34, 66, 81, 104, 113, 173, 177, 178, 190, 191, 192, 201, 202, 210, 211, 216, 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5549, 5552, 5557, 5558, 5568, 5569, 5571, 5574, 5580, 5582, 5614, 5616, 5617, 5618, 5623, 5626, 5639, 5640, 5650, 5670, 5684, 5697, 5698, 5704, 5712, 5715, 5720, 5721, 5734, 5735, 5737, 5742, 5748, 5750, 5769, 5770, 5771, 5777, 5797, 5832, 5836, 5867, 5868, 5878, 5891, 5903, 5904, 5917, 5918, 5919, 5922, 5930, 5931, 5934, 5935, 5940, 5941, 5943, 5952, 5953, 5954, 5956, 5957, 5960, 5961, 5967, 5969, 5970, 5979, 5985, 5986, 5996, 6008, 6020, 6033, 6034, 6037, 6045, 6048, 6053, 6054, 6064, 6065, 6067, 6070, 6076, 6078, 6084, 6085, 6086, 6087, 6088, 6089, 6090, 6091, 6092, 6093, 6094, 6095, 6096, 6097, 6098, 6099, 6100, 6101, 6102, 6103, 6104, 6105, 6107, 6108, 6109, 6110, 6145, 6209, 6233, 6234, 6236, 6247, 6309, 6331, 6332, 6334, 6339, 6341, 6356, 6359, 6367, 6381, 6383, 6392, 6398, 6399, 6401, 6408, 6411, 6412, 6413, 6414, 6419, 6433, 6446, 6452, 6453, 6466], │ │ │ │ │ "serial": [226, 3119, 3900, 3901, 3902, 4178, 4309, 4337, 4388, 4416, 4474, 4502, 4619, 4795, 5064, 5070, 5172, 5272, 5582, 5750, 5969, 6078, 6086, 6105, 6439, 6455],