MichaelChirico
commented
12 months ago Output from revdep_compare_releases.R:
The following packages warned on main only:
None! 🎉
The following packages warned on v3.1.0 only:
None! 🎉
The following packages warned on both branches:
abbyyR, admiralophtha, admiralvaccine, BTYDplus, bupaR, cleaR, crunch, dampack, dashboardthemes, DBItest, DepthProc, designer, diffusr, DIZtools, DIZutils, dyn.log, edgarWebR, epigraphdb, fixtuRes, FSelectorRcpp, geofacet, geogrid, ggcharts, ggthemes, jpmesh, languageserver, mlflow, mlr, modules, openbankeR, opensensmapr, osfr, packager, physiology, prettyB, PWFSLSmoke, rbokeh, requiRements, RestRserve, RSQL, scriptexec, stencilaschema, tsviz, upsetjs, virustotal, WikidataQueryServiceR, WoodburyMatrix
The following packages failed on main only:
The following packages failed on v3.1.0 only:
The following packages failed on both branches:
abbyyR, DBItest, diffusr, geofacet, geogrid, opensensmapr, rbokeh, RestRserve, roadoi, tuber, virustotal
Count of lints found on main but not on v3.1.0: 5
Count of these by linter:
linter N
1: assignment_linter 5
Sample of <=10 hits from each linter:
line location
1: configList[["station_meta"]][["latitude"]] %<>% as.numeric() [assignment_linter] PWFSLSmoke:R/generic_parseData.R
2: configList[["station_meta"]][["longitude"]] %<>% as.numeric() [assignment_linter] PWFSLSmoke:R/generic_parseData.R
3: configList[["parsing_info"]][["header_rows"]] %<>% as.integer() [assignment_linter] PWFSLSmoke:R/generic_parseData.R
4: dat %<>% [assignment_linter] dat:tests/testthat/test-mutar.R
5: names(configList) %<>% tolower() [assignment_linter] PWFSLSmoke:R/generic_parseData.R
Count of lints found on v3.1.0 but not on main: 12
Count of these by linter:
linter N
1: object_name_linter 12
Sample of <=10 hits from each linter:
line location
1: attr(res, "SplitValues") <- control$breaks [object_name_linter] FSelectorRcpp:R/discretize.R
2: attr(ptest$data, "row.names") = as.integer(row.names(ptest$data)) [object_name_linter] mlr:tests/testthat/test_base_resample_operators.R
3: attr(self$def, "schema-graph") <- value [object_name_linter] DataFakeR:R/schema_source.R
4: attr(schema, "schema-graph") <- attr(schema, "schema-graph") %>% [object_name_linter] DataFakeR:tests/testthat/test-simulate_cols.R
5: S3Part(x, needClass = "data.frame") <- data.frame() [object_name_linter] dat:R/helper.R
6: attr(schema, "schema-graph") <- attr(schema, "schema-graph") %>% [object_name_linter] DataFakeR:tests/testthat/test-simulate_cols.R
7: attr(schema, "schema-graph") <- schema_graph [object_name_linter] DataFakeR:R/schema_source.R
8: attr(p, "nn.index") = NULL [object_name_linter] mlr:R/RLearner_classif_fnn.R
9: attr(p, "nn.dist") = NULL [object_name_linter] mlr:R/RLearner_classif_fnn.R
10: attr(data, "fsSplitPointsList") <- c( [object_name_linter] FSelectorRcpp:R/discretize.R
Comparison of total time to run lint_packages() across all repos:
2821m to run on main, 3116m to run on v3.1.0
Comparison of time to run lint_package() on each repo (new - old; negative -> faster)
package elapsed_main elapsed_v3.1.0 delta delta_pct
1: crunch 147.770 196.286 -48.516 -24.7169946
2: mlr 195.612 226.679 -31.067 -13.7052837
3: arrow 89.111 117.771 -28.660 -24.3353627
4: PWFSLSmoke 64.601 89.844 -25.243 -28.0964783
5: datarobot 78.258 95.673 -17.415 -18.2026277
6: EstimationTools 27.815 44.173 -16.358 -37.0316709
7: mlrCPO 103.742 119.787 -16.045 -13.3946088
8: languageserver 14.200 24.268 -10.068 -41.4867315
9: cmstatr 29.392 37.826 -8.434 -22.2968329
10: dampack 11.976 20.318 -8.342 -41.0571907
11: xgboost 35.774 43.921 -8.147 -18.5492134
12: smerc 48.586 56.692 -8.106 -14.2983137
13: secuTrialR 22.693 30.026 -7.333 -24.4221675
14: shiny.semantic 25.116 32.226 -7.110 -22.0629306
15: bupaR 30.241 36.945 -6.704 -18.1458925
16: epigraphdb 5.199 10.868 -5.669 -52.1623114
17: DQAstats 22.924 28.515 -5.591 -19.6072243
18: REDCapTidieR 12.041 17.506 -5.465 -31.2178682
19: lightgbm 43.447 48.773 -5.326 -10.9199762
20: autoharp 19.505 24.716 -5.211 -21.0835087
21: mpathsenser 21.305 26.308 -5.003 -19.0170290
22: shiny.telemetry 9.205 14.037 -4.832 -34.4233098
23: ggRandomForests 34.803 39.624 -4.821 -12.1668686
24: emayili 10.897 15.463 -4.566 -29.5285520
25: ggthemes 24.458 28.604 -4.146 -14.4944763
26: urlshorteneR 11.151 15.212 -4.061 -26.6960295
27: PaRe 12.138 16.086 -3.948 -24.5430809
28: mlexperiments 15.643 19.165 -3.522 -18.3772502
29: TDA 16.867 20.228 -3.361 -16.6155824
30: NHSRplotthedots 8.973 12.174 -3.201 -26.2937408
31: xportr 9.686 12.692 -3.006 -23.6842105
32: supernova 9.013 11.964 -2.951 -24.6656637
33: mlflow 13.552 16.365 -2.813 -17.1891231
34: datacutr 8.421 11.056 -2.635 -23.8332127
35: clugenr 11.515 14.108 -2.593 -18.3796428
36: rBiasCorrection 10.777 13.304 -2.527 -18.9942874
37: admiral 151.009 153.533 -2.524 -1.6439463
38: precommit 12.183 14.534 -2.351 -16.1758635
39: dyn.log 10.348 12.602 -2.254 -17.8860498
40: data.validator 5.610 7.803 -2.193 -28.1045752
41: DQAgui 11.938 14.119 -2.181 -15.4472696
42: rhino 4.747 6.851 -2.104 -30.7108451
43: BTYDplus 22.396 24.470 -2.074 -8.4756845
44: rextendr 9.643 11.597 -1.954 -16.8491851
45: designer 5.633 7.568 -1.935 -25.5681818
46: BiasCorrector 9.476 11.411 -1.935 -16.9573219
47: babette 20.591 22.442 -1.851 -8.2479280
48: shiny.benchmark 4.846 6.686 -1.840 -27.5201914
49: maraca 3.430 5.259 -1.829 -34.7784750
50: semantic.dashboard 5.339 6.931 -1.592 -22.9692685
51: Plasmidprofiler 4.417 6.006 -1.589 -26.4568765
52: DIZtools 9.322 10.748 -1.426 -13.2675847
53: shiny.blueprint 10.153 11.560 -1.407 -12.1712803
54: fst 8.890 10.262 -1.372 -13.3697135
55: fstcore 8.890 10.262 -1.372 -13.3697135
56: goodpractice 8.250 9.609 -1.359 -14.1429909
57: packager 20.146 21.454 -1.308 -6.0967652
58: jpmesh 7.600 8.826 -1.226 -13.8907772
59: cloudos 8.022 9.217 -1.195 -12.9651730
60: admiralvaccine 23.773 24.911 -1.138 -4.5682630
61: logrx 10.419 11.499 -1.080 -9.3921211
62: physiology 8.668 9.739 -1.071 -10.9970223
63: activatr 6.443 7.397 -0.954 -12.8971205
64: airnow 3.738 4.675 -0.937 -20.0427807
65: caretEnsemble 13.390 14.311 -0.921 -6.4356090
66: FSelectorRcpp 9.994 10.873 -0.879 -8.0842454
67: ConNEcT 6.052 6.926 -0.874 -12.6191164
68: newsmd 1.022 1.891 -0.869 -45.9545214
69: nLTT 10.547 11.377 -0.830 -7.2954206
70: modules 7.752 8.580 -0.828 -9.6503497
71: dittodb 12.084 12.823 -0.739 -5.7630820
72: upsetjs 6.880 7.592 -0.712 -9.3782929
73: ggfortify 36.763 37.457 -0.694 -1.8527912
74: fxTWAPLS 11.700 12.382 -0.682 -5.5079955
75: sjtable2df 2.546 3.225 -0.679 -21.0542636
76: biolink 3.322 3.995 -0.673 -16.8460576
77: DIZutils 4.208 4.871 -0.663 -13.6111681
78: shiny.i18n 2.916 3.576 -0.660 -18.4563758
79: rnrfa 5.562 6.141 -0.579 -9.4284319
80: DataFakeR 11.898 12.464 -0.566 -4.5410783
81: shiny.info 2.390 2.928 -0.538 -18.3743169
82: scriptexec 2.975 3.495 -0.520 -14.8783977
83: kdry 5.335 5.823 -0.488 -8.3805598
84: shiny.react 2.287 2.765 -0.478 -17.2875226
85: rasterpdf 1.402 1.864 -0.462 -24.7854077
86: foundry 4.111 4.563 -0.452 -9.9057638
87: rde 1.927 2.376 -0.449 -18.8973064
88: aws.alexa 2.089 2.531 -0.442 -17.4634532
89: connectwidgets 6.753 7.188 -0.435 -6.0517529
90: dupree 4.080 4.492 -0.412 -9.1718611
91: shiny.router 3.137 3.498 -0.361 -10.3201830
92: INSPECTumours 10.286 10.647 -0.361 -3.3906265
93: WoodburyMatrix 2.562 2.893 -0.331 -11.4414103
94: autonewsmd 2.766 3.077 -0.311 -10.1072473
95: adaptalint 1.376 1.687 -0.311 -18.4350919
96: rdomains 3.084 3.393 -0.309 -9.1069850
97: prettyB 2.517 2.814 -0.297 -10.5543710
98: cleaR 1.055 1.290 -0.235 -18.2170543
99: requiRements 1.130 1.344 -0.214 -15.9226190
100: dat 9.227 9.440 -0.213 -2.2563559
101: lineupjs 1.271 1.472 -0.201 -13.6548913
102: tsviz 1.268 1.412 -0.144 -10.1983003
103: WikidataQueryServiceR 0.702 0.817 -0.115 -14.0758874
104: wavefunction 0.592 0.700 -0.108 -15.4285714
105: simaerep 22.494 22.592 -0.098 -0.4337819
106: stencilaschema 1.406 1.473 -0.067 -4.5485404
107: abbyyR 0.153 0.206 -0.053 -25.7281553
108: roadoi 1.167 1.173 -0.006 -0.5115090
109: diffusr 0.059 0.064 -0.005 -7.8125000
110: rbokeh 0.051 0.055 -0.004 -7.2727273
111: geogrid 0.055 0.059 -0.004 -6.7796610
112: describer 1.026 1.028 -0.002 -0.1945525
113: opensensmapr 0.030 0.032 -0.002 -6.2500000
114: geofacet 0.016 0.017 -0.001 -5.8823529
115: DBItest 0.086 0.085 0.001 1.1764706
116: virustotal 0.041 0.039 0.002 5.1282051
117: fakemake 6.084 6.059 0.025 0.4126093
118: tuber 0.060 0.033 0.027 81.8181818
119: RSQL 5.222 5.180 0.042 0.8108108
120: admiralonco 14.758 14.713 0.045 0.3058520
121: RestRserve 0.111 0.054 0.057 105.5555556
122: fixtuRes 3.789 3.723 0.066 1.7727639
123: devtools 1.974 1.881 0.093 4.9441786
124: dashboardthemes 6.489 6.371 0.118 1.8521425
125: admiralophtha 8.120 7.958 0.162 2.0356874
126: admiral.test 1.704 1.506 0.198 13.1474104
127: mcbette 8.220 7.956 0.264 3.3182504
128: openbankeR 1.475 1.099 0.376 34.2129208
129: ggcharts 10.276 9.722 0.554 5.6984160
130: DepthProc 7.634 7.016 0.618 8.8084379
131: i18n 12.206 11.582 0.624 5.3876705
132: admiraldev 22.158 21.162 0.996 4.7065495
133: lifecycle 9.939 8.667 1.272 14.6763586
134: osfr 21.186 19.483 1.703 8.7409537
135: PosteriorBootstrap 5.217 3.024 2.193 72.5198413
136: latrend 86.630 84.432 2.198 2.6032784
137: pirouette 58.946 56.300 2.646 4.6998224
138: unifir 13.092 10.275 2.817 27.4160584
139: beautier 152.610 127.235 25.375 19.9434118
140: edgarWebR 443.570 382.073 61.497 16.0956152
package elapsed_main elapsed_v3.1.0 delta delta_pct
0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
-48.5160 -6.7446 -3.3932 -2.0830 -1.3284 -0.7835 -0.4716 -0.2287 -0.0020 0.2046 61.4970
Prepare for release:
3.1.1milestonedevtools::check(remote = TRUE, manual = TRUE)devtools::check_win_devel()ordevtools::check_win_devel(email = "your@email")rhub::check_for_cran()orrhub::check_for_cran(email = "your@email")revdepcheck::revdep_check(). #2189.dev/revdep_get_repos.Rand.dev/revdep_compare_releases.R.Submit to CRAN:
usethis::use_version('patch')devtools::submit_cran()Wait for CRAN...
cran-comments.mdusethis::use_github_release()usethis::use_dev_version()