Skip to content

Update .revdeprefs.yaml #1430

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
merged 1 commit into from
Jul 29, 2025
Merged

Update .revdeprefs.yaml #1430

merged 1 commit into from
Jul 29, 2025

Conversation

shajoezhu
Copy link
Contributor

Pull Request

Fixes #nnn

Copy link
Contributor

github-actions bot commented Jul 28, 2025

Unit Tests Summary

    1 files     85 suites   1m 19s ⏱️
  886 tests   877 ✅   9 💤 0 ❌
1 905 runs  1 205 ✅ 700 💤 0 ❌

Results for commit 283056e.

♻️ This comment has been updated with latest results.

Copy link
Contributor

Unit Test Performance Difference

Test Suite $Status$ Time on main $±Time$ $±Tests$ $±Skipped$ $±Failures$ $±Errors$
analyze_vars_in_cols 💔 $2.56$ $+3.20$ $+17$ $-7$ $0$ $0$
count_occurrences 💔 $0.90$ $+1.67$ $+10$ $-8$ $0$ $0$
summarize_coxreg 💔 $3.15$ $+2.22$ $+13$ $-13$ $0$ $0$
summarize_num_patients 💔 $1.15$ $+1.39$ $+18$ $-17$ $0$ $0$
survival_duration_subgroups 💔 $4.96$ $+1.47$ $+7$ $-14$ $0$ $0$
Additional test case details
Test Suite $Status$ Time on main $±Time$ Test Case
analyze_vars_in_cols 💔 $0.56$ $+1.54$ summarize_works_with_nested_analyze
summarize_coxreg 💔 $0.46$ $+1.01$ summarize_coxreg_adds_the_multivariate_Cox_regression_layer_to_rtables

Results for commit c8313cc

♻️ This comment has been updated with latest results.

Copy link
Contributor

badge

Code Coverage Summary

Filename                                   Stmts    Miss  Cover    Missing
---------------------------------------  -------  ------  -------  ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
R/abnormal_by_baseline.R                     101       3  97.03%   242, 244-245
R/abnormal_by_marked.R                        88       8  90.91%   94-98, 281, 283-284
R/abnormal_by_worst_grade.R                   94       3  96.81%   215, 217-218
R/abnormal_lab_worsen_by_baseline.R          159      10  93.71%   205-208, 213, 215-216, 459-461
R/abnormal.R                                  78       2  97.44%   222, 224
R/analyze_variables.R                        287       5  98.26%   587-590, 778
R/analyze_vars_in_cols.R                     178      14  92.13%   178, 221, 235-236, 238, 246-254
R/bland_altman.R                              92       1  98.91%   46
R/combination_function.R                       9       0  100.00%
R/compare_variables.R                         35       0  100.00%
R/control_incidence_rate.R                    10       0  100.00%
R/control_logistic.R                           7       0  100.00%
R/control_step.R                              23       1  95.65%   58
R/control_survival.R                          15       0  100.00%
R/count_cumulative.R                         115       4  96.52%   74, 270-271, 273
R/count_missed_doses.R                        89       4  95.51%   206-209
R/count_occurrences_by_grade.R               169       8  95.27%   178, 386, 388, 465, 467, 469, 473-474
R/count_occurrences.R                        137      10  92.70%   119, 262-264, 330-332, 334, 338-339
R/count_patients_events_in_cols.R             67       1  98.51%   60
R/count_patients_with_event.R                 73       2  97.26%   220, 223
R/count_patients_with_flags.R                 93       2  97.85%   234, 236
R/count_values.R                              61       2  96.72%   193, 196
R/cox_regression_inter.R                     154       0  100.00%
R/cox_regression.R                           161       0  100.00%
R/coxph.R                                    167       7  95.81%   191-195, 238, 253, 261, 267-268
R/d_pkparam.R                                406       0  100.00%
R/decorate_grob.R                            113       0  100.00%
R/desctools_binom_diff.R                     621      64  89.69%   53, 88-89, 125-126, 129, 199, 223-232, 264, 266, 286, 290, 294, 298, 353, 356, 359, 362, 422, 430, 439, 444-447, 454, 457, 466, 469, 516-517, 519-520, 522-523, 525-526, 593, 604-616, 620, 663, 676, 680
R/df_explicit_na.R                            30       0  100.00%
R/estimate_multinomial_rsp.R                  86       4  95.35%   65, 212, 214-215
R/estimate_proportion.R                      240       7  97.08%   88, 99, 255, 257-258, 389, 553
R/fit_rsp_step.R                              36       0  100.00%
R/fit_survival_step.R                         36       0  100.00%
R/formatting_functions.R                     183       2  98.91%   141, 276
R/g_forest.R                                 585      60  89.74%   240, 252-255, 260-261, 275, 277, 287-290, 335-338, 345, 414, 501, 514, 518-519, 524-525, 538, 554, 601, 630, 705, 714, 720, 739, 794-814, 817, 828, 847, 902, 905, 1040-1045
R/g_ipp.R                                    133       0  100.00%
R/g_km.R                                     350      57  83.71%   285-288, 307-309, 363-366, 400, 428, 432-475, 482-486
R/g_lineplot.R                               260      22  91.54%   222, 396-403, 442-452, 561, 569
R/g_step.R                                    68       1  98.53%   108
R/g_waterfall.R                               47       0  100.00%
R/h_adsl_adlb_merge_using_worst_flag.R        73       0  100.00%
R/h_biomarkers_subgroups.R                    91      23  74.73%   40-42, 84-103
R/h_cox_regression.R                         110       0  100.00%
R/h_incidence_rate.R                          45       0  100.00%
R/h_km.R                                     509      41  91.94%   137, 189-194, 287, 378, 380-381, 392-394, 413, 420-421, 423-425, 433-435, 460, 465-468, 651-654, 1108-1119
R/h_logistic_regression.R                    468       3  99.36%   203-204, 273
R/h_map_for_count_abnormal.R                  54       0  100.00%
R/h_pkparam_sort.R                            15       0  100.00%
R/h_response_biomarkers_subgroups.R           77      12  84.42%   50-55, 107-112
R/h_response_subgroups.R                     178      18  89.89%   257-270, 329-334
R/h_stack_by_baskets.R                        64       1  98.44%   89
R/h_step.R                                   180       0  100.00%
R/h_survival_biomarkers_subgroups.R           73       6  91.78%   111-116
R/h_survival_duration_subgroups.R            207      18  91.30%   259-271, 336-341
R/imputation_rule.R                           17       0  100.00%
R/incidence_rate.R                           103       7  93.20%   68-73, 242
R/logistic_regression.R                      102       0  100.00%
R/missing_data.R                              21       3  85.71%   32, 66, 76
R/odds_ratio.R                               157       4  97.45%   270-273
R/prop_diff_test.R                           144       2  98.61%   250, 252
R/prop_diff.R                                318      17  94.65%   71-74, 106, 299, 301, 387-394, 537, 702
R/prune_occurrences.R                         57       0  100.00%
R/response_biomarkers_subgroups.R            124      10  91.94%   88-91, 270-275
R/response_subgroups.R                       251      16  93.63%   100-105, 271-275, 280, 282-283, 310-311
R/riskdiff.R                                  65       4  93.85%   94-97
R/rtables_access.R                            38       0  100.00%
R/score_occurrences.R                         20       1  95.00%   124
R/split_cols_by_groups.R                      49       0  100.00%
R/stat.R                                      59       0  100.00%
R/summarize_ancova.R                         150       2  98.67%   327-328
R/summarize_change.R                          72       3  95.83%   175, 177-178
R/summarize_colvars.R                         13       1  92.31%   75
R/summarize_coxreg.R                         172       0  100.00%
R/summarize_glm_count.R                      269      10  96.28%   129-130, 202-203, 459-463, 596
R/summarize_num_patients.R                   121      10  91.74%   122-124, 244, 248, 252-253, 337-338, 340
R/summarize_patients_exposure_in_cols.R      155       7  95.48%   58, 232-233, 237, 357-358, 362
R/survival_biomarkers_subgroups.R            136      10  92.65%   117-122, 228-231
R/survival_coxph_pairwise.R                  124       5  95.97%   52-53, 248, 250-251
R/survival_duration_subgroups.R              249      15  93.98%   124-129, 268-273, 286, 288-289
R/survival_time.R                            120       1  99.17%   251
R/survival_timepoint.R                       153       2  98.69%   320, 322
R/utils_checkmate.R                           68       0  100.00%
R/utils_default_stats_formats_labels.R       196       0  100.00%
R/utils_factor.R                              87       1  98.85%   99
R/utils_ggplot.R                             110       0  100.00%
R/utils_grid.R                               126       5  96.03%   164, 279-286
R/utils_rtables.R                            125       9  92.80%   39, 46, 414-415, 537-541
R/utils_split_funs.R                          52       2  96.15%   82, 94
R/utils.R                                    143       7  95.10%   131, 134, 137, 141, 150-151, 345
TOTAL                                      11966     580  95.15%

Diff against main

Filename      Stmts    Miss  Cover
----------  -------  ------  --------
TOTAL             0       0  +100.00%

Results for commit: 283056e

Minimum allowed coverage is 80%

♻️ This comment has been updated with latest results

Copy link
Contributor

@Melkiades Melkiades left a comment

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Good to go! Thanks Joe

@Melkiades Melkiades merged commit 6f03202 into main Jul 29, 2025
31 of 32 checks passed
@Melkiades Melkiades deleted the shajoezhu-patch-1 branch July 29, 2025 14:37
@github-actions github-actions bot locked and limited conversation to collaborators Jul 29, 2025
Sign up for free to subscribe to this conversation on GitHub. Already have an account? Sign in.
Labels
None yet
Projects
None yet
Development

Successfully merging this pull request may close these issues.

2 participants