Re: [Sbcl-bugs] New failure on aarch64 from commit 7a19681d9 to sbcl-2.4.7
Hello,
Thanks. Well, firstly, that makes the test pass. So it would seem to
be a test suite issue. Here is the output I get:
392s // Running arenaheapwaste.impure.lisp in COMPILE evaluator mode
392s ::: Running :WASTE-HEAP
393s waste: 2.3311008
393s waste: 2.0334817
393s waste: 1.8150168
393s waste: 1.6478347
393s waste: 1.5157748
393s waste: 1.4088213
393s waste: 1.3204362
393s waste: 1.2461702
393s waste: 1.3288534
393s waste: 1.1283265
393s waste: 1.0807942
393s waste: 1.0390164
393s waste: 13.31113
393s waste: 7.789546
393s waste: 5.5743005
393s waste: 4.3799054
393s waste: 3.632849
393s waste: 3.4261066
393s waste: 3.0136772
393s waste: 2.4665814
393s waste: 2.2443162
393s waste: 2.2541061
393s waste: 2.0900672
393s waste: 1.793662
393s waste: 1.6884869
393s waste: 1.7350305
393s waste: 1.6475042
393s waste: 1.411832
393s waste: 19.824219
393s waste: 8.9064695
393s waste: 5.8200315
393s waste: 4.3741215
393s waste: 3.5308454
393s waste: 3.314251
393s waste: 2.5911314
393s waste: 2.5529597
393s waste: 2.0802561
393s waste: 1.9026993
393s waste: 1.7589448
393s waste: 1.6388094
393s waste: 1.5382006
393s waste: 1.4521938
393s waste: 1.3771976
393s waste: 1.3117067
393s waste: 1.1367397
393s waste: 11.700624
393s waste: 6.8256244
393s waste: 4.887372
393s waste: 3.846458
393s waste: 3.1968653
393s waste: 2.7528401
393s waste: 2.6959911
393s waste: 2.4195682
393s waste: 1.9924704
393s waste: 1.8372528
393s waste: 1.7094588
393s waste: 1.6024107
393s waste: 1.6590947
393s waste: 1.4331669
393s waste: 1.3651158
393s waste: 1.4262056
393s waste: 15.881632
393s waste: 7.553133
393s waste: 5.0487597
393s waste: 4.337649
393s waste: 3.1318318
393s waste: 2.6640492
393s waste: 2.6165629
393s waste: 2.0855697
393s waste: 2.1152256
393s waste: 1.7417675
393s waste: 1.617353
393s waste: 1.6797204
393s waste: 1.5796354
393s waste: 1.4939718
393s waste: 1.4198221
393s waste: 1.3550112
393s waste: 39.791593
393s waste: 12.4298096
393s waste: 7.495718
393s waste: 5.4302838
393s waste: 4.2952254
393s waste: 3.5774678
393s waste: 3.0826166
393s waste: 2.981592
393s waste: 2.4447039
393s waste: 2.2271108
393s waste: 2.0512022
393s waste: 1.9060468
393s waste: 1.7842283
393s waste: 1.6805377
393s waste: 1.5912086
393s waste: 1.5134505
393s waste: 1.4451521
393s waste: 15.629484
393s waste: 7.9330906
393s waste: 5.402062
393s waste: 4.142907
393s waste: 3.775879
393s waste: 2.8879631
393s waste: 2.8086634
393s waste: 2.5064087
393s waste: 2.2713216
393s waste: 2.083252
393s waste: 1.9293768
393s waste: 1.8011475
393s waste: 1.5008065
393s waste: 1.5591866
393s waste: 1.3469131
393s waste: 1.2838008
393s waste: 30.216157
393s waste: 10.594097
393s waste: 6.5451
393s waste: 4.7966696
393s waste: 3.821881
393s waste: 3.2002766
393s waste: 2.7693486
393s waste: 2.453029
393s waste: 2.2109628
393s waste: 2.0197507
393s waste: 1.864891
393s waste: 1.7369164
393s waste: 1.6293852
393s waste: 1.6832
393s waste: 1.4587571
393s waste: 1.3899341
393s waste: 1.3294432
393s waste: 23.386693
393s waste: 10.170562
393s waste: 6.601242
393s waste: 4.940649
393s waste: 3.9807282
393s waste: 3.3552747
393s waste: 2.9154157
393s waste: 2.5892153
393s waste: 2.3376605
393s waste: 2.1377595
393s waste: 1.9750841
393s waste: 1.8401217
393s waste: 1.7263463
393s waste: 1.6291322
393s waste: 1.5451087
393s waste: 1.4287965
393s waste: 1.3632789
393s waste: 16.855177
393s waste: 9.819044
393s waste: 8.096801
393s waste: 5.47415
393s waste: 4.8784398
393s waste: 4.1728087
393s waste: 3.3964153
393s waste: 3.0360088
393s waste: 2.9605702
393s waste: 2.712506
393s waste: 2.508115
393s waste: 2.1785099
393s waste: 2.1911256
393s waste: 1.9291535
393s waste: 1.8288584
393s waste: 1.9807883
393s waste: 18.5267
393s waste: 8.561824
393s waste: 5.6642357
393s waste: 5.275588
393s waste: 4.2704515
393s waste: 3.278257
393s waste: 3.1393066
393s waste: 2.7896017
393s waste: 2.5188368
393s waste: 2.5007611
393s waste: 2.126901
393s waste: 1.9805033
393s waste: 1.8568736
393s waste: 1.7510837
393s waste: 1.6595319
393s waste: 1.5795251
393s waste: 45.096627
393s waste: 12.700973
393s waste: 7.5285584
393s waste: 5.416744
393s waste: 4.7043677
393s waste: 3.548298
393s waste: 3.053365
393s waste: 2.6925601
393s waste: 2.4178661
393s waste: 2.2017425
393s waste: 2.0272609
393s waste: 1.883444
393s waste: 1.762861
393s waste: 1.807078
393s waste: 1.7087132
393s waste: 1.4493826
393s waste: 1.3808403
393s waste: 20.978516
393s waste: 10.684571
393s waste: 8.473607
393s waste: 6.933594
393s waste: 4.8886485
393s waste: 4.1414686
393s waste: 3.6071602
393s waste: 3.2060962
393s waste: 3.108796
393s waste: 2.6441257
393s waste: 2.439634
393s waste: 2.4315108
393s waste: 2.124886
393s waste: 2.0011868
393s waste: 2.0244192
393s waste: 1.800118
394s waste: 39.30212
394s waste: 14.034915
394s waste: 8.663148
394s waste: 6.326277
394s waste: 5.0188646
394s waste: 4.183442
394s waste: 3.603501
394s waste: 3.17739
394s waste: 2.8510708
394s waste: 2.7969424
394s waste: 2.384193
394s waste: 2.3806246
394s waste: 2.3776347
394s waste: 1.9424867
394s waste: 1.9705972
394s waste: 1.8690566
394s waste: 1.7797792
394s waste: 13.081054
394s waste: 7.6592475
394s waste: 5.875758
394s waste: 3.5632323
394s waste: 2.928711
394s waste: 2.8295979
394s waste: 2.482166
394s waste: 2.2213753
394s waste: 2.0184096
394s waste: 1.659668
394s waste: 1.5443005
394s waste: 1.6121406
394s waste: 1.5183222
394s waste: 1.2970842
394s waste: 1.2366536
394s waste: 1.1837768
394s waste: 25.784868
394s waste: 10.437012
394s waste: 6.512642
394s waste: 5.324857
394s waste: 3.827547
394s waste: 3.2093953
394s waste: 2.482395
394s waste: 2.4636889
394s waste: 2.2215085
394s waste: 2.0299936
394s waste: 1.6885543
394s waste: 1.7463658
394s waste: 1.6384246
394s waste: 1.691402
394s waste: 1.6021853
394s waste: 1.3978463
394s waste: 1.4560382
394s waste: 17.013705
394s waste: 10.212181
394s waste: 7.719696
394s waste: 5.9829496
394s waste: 4.5458984
394s waste: 3.875693
394s waste: 3.391656
394s waste: 3.0256765
394s waste: 2.9502356
394s waste: 2.5089998
394s waste: 2.493977
394s waste: 2.1617252
394s waste: 2.1757694
394s waste: 2.0502318
394s waste: 1.9411907
394s waste: 1.9664746
394s waste: 20.861423
394s waste: 8.225128
394s waste: 5.2348595
394s waste: 3.8966734
394s waste: 3.137788
394s waste: 2.606136
394s waste: 2.5570054
394s waste: 2.0104757
394s waste: 1.8167801
394s waste: 1.8664096
394s waste: 1.5370744
394s waste: 1.6034838
394s waste: 1.34749375
394s waste: 1.4176265
394s waste: 1.2090806
394s waste: 1.2798651
394s waste: 1.1039798
394s waste: 12.668458
394s waste: 8.746774
394s waste: 5.5849064
394s waste: 3.898577
394s waste: 3.223971
394s waste: 3.079626
394s waste: 2.7071882
394s waste: 2.4253678
394s waste: 2.2046799
394s waste: 2.0271795
394s waste: 1.881319
394s waste: 1.759331
394s waste: 1.6557978
394s waste: 1.5668266
394s waste: 1.4895465
394s waste: 1.4217955
394s waste: 19.187474
394s waste: 8.384687
394s waste: 5.4671463
394s waste: 4.619842
394s waste: 3.3251543
394s waste: 2.7701879
394s waste: 2.4095302
394s waste: 2.142066
394s waste: 1.935415
394s waste: 1.7715987
394s waste: 1.8211165
394s waste: 1.5273554
394s waste: 1.4333776
394s waste: 1.4968872
394s waste: 1.2840737
394s waste: 1.2240535
394s waste: 1.2891383
394s waste: 10.746694
394s waste: 6.2440556
394s waste: 5.045769
394s waste: 3.9681893
394s waste: 3.2957148
394s waste: 2.8360488
394s waste: 2.7676366
394s waste: 2.4826232
394s waste: 2.2586405
394s waste: 1.8882101
394s waste: 1.7559147
394s waste: 1.6450956
394s waste: 1.5509161
394s waste: 1.4698902
394s waste: 1.3994421
394s waste: 1.3376273
394s waste: 16.299292
394s waste: 7.653278
394s waste: 5.0626513
394s waste: 3.8327534
394s waste: 3.1090602
394s waste: 2.6347958
394s waste: 2.299205
394s waste: 2.2984628
394s waste: 1.8558554
394s waste: 1.9011276
394s waste: 1.5760584
394s waste: 1.4708236
394s waste: 1.382703
394s waste: 1.44973025
394s waste: 1.242123
394s waste: 1.1851301
394s waste: 39.588624
394s waste: 12.835264
394s waste: 6.923625
394s waste: 5.002154
394s waste: 4.3886762
394s waste: 3.2941803
394s waste: 2.8405
394s waste: 2.5094356
394s waste: 2.2571964
394s waste: 2.0586248
394s waste: 1.8982403
394s waste: 1.7659934
394s waste: 1.6550766
394s waste: 1.5607145
394s waste: 1.6161026
394s waste: 1.53662935
394s waste: 1.4668361
394s waste: 13.993503
394s waste: 6.908671
394s waste: 5.324923
394s waste: 4.072563
394s waste: 3.285619
394s waste: 2.789697
394s waste: 2.1547174
394s waste: 2.1726055
394s waste: 2.1863665
394s waste: 1.8037423
394s waste: 1.6698861
394s waste: 1.5576336
394s waste: 1.6154349
394s waste: 1.52392015
394s waste: 1.3120843
394s waste: 1.2509679
394s waste: 30.083176
394s waste: 12.399292
394s waste: 7.780574
394s waste: 5.20115
394s waste: 4.150817
394s waste: 3.4769475
394s waste: 3.0079015
394s waste: 2.6626144
394s waste: 2.3484165
394s waste: 2.1384986
394s waste: 2.152353
394s waste: 1.8266272
394s waste: 1.7082857
394s waste: 1.607337
394s waste: 1.5202358
394s waste: 1.4437517
394s waste: 1.37702385
394s waste: 17.669123
394s waste: 10.2955945
394s waste: 6.521705
394s waste: 5.4873567
394s waste: 4.11736
394s waste: 3.5064198
394s waste: 3.0675754
394s waste: 2.7370878
394s waste: 2.693096
394s waste: 2.2724416
394s waste: 2.2789825
394s waste: 2.1231774
394s waste: 1.9911231
394s waste: 1.738593
394s waste: 1.779417
394s waste: 1.6932636
394s waste: 22.986233
394s waste: 10.1476155
394s waste: 6.4517856
394s waste: 4.786632
394s waste: 3.7950188
394s waste: 3.182053
394s waste: 2.7536415
394s waste: 2.4374438
394s waste: 1.96638
394s waste: 1.7970476
395s waste: 1.6596505
395s waste: 1.5458598
395s waste: 1.6060358
395s waste: 1.5130275
395s waste: 1.4327252
395s waste: 1.4886654
395s waste: 1.3010759
395s waste: 13.728979
395s waste: 7.595461
395s waste: 6.505817
395s waste: 4.6046086
395s waste: 3.794227
395s waste: 3.5563674
395s waste: 3.117899
395s waste: 2.7861139
395s waste: 2.7372815
395s waste: 2.3173293
395s waste: 2.3197269
395s waste: 2.1621205
395s waste: 1.8801045
395s waste: 1.775359
395s waste: 1.6843779
395s waste: 1.604615
395s waste: 22.99886
395s waste: 9.993791
395s waste: 6.3284606
395s waste: 4.158664
395s waste: 3.757969
395s waste: 3.1587973
395s waste: 2.445919
395s waste: 2.3846323
395s waste: 1.9196266
395s waste: 2.162468
395s waste: 1.8063648
395s waste: 1.67999
395s waste: 1.5736043
395s waste: 1.3379984
395s waste: 1.4045266
395s waste: 1.2097168
395s waste: 1.1571677
395s waste: 16.182521
395s waste: 9.0690546
395s waste: 6.37389
395s waste: 4.9560547
395s waste: 4.081451
395s waste: 3.488071
395s waste: 3.0590618
395s waste: 2.7344344
395s waste: 2.480225
395s waste: 2.466631
395s waste: 2.1077475
395s waste: 1.96723
395s waste: 1.8479709
395s waste: 1.7454853
395s waste: 1.656467
395s waste: 1.6996337
395s waste: 22.380829
395s waste: 8.972168
395s waste: 5.7215836
395s waste: 4.2570345
395s waste: 4.2491946
395s waste: 3.2291263
395s waste: 2.802925
395s waste: 2.7419409
395s waste: 2.471052
395s waste: 2.2561317
395s waste: 2.0814588
395s ::: Success :WASTE-HEAP
395s ::: Running :HUGE-OBJECTS-SCAVENGED-IN-GC
395s ::: Success :HUGE-OBJECTS-SCAVENGED-IN-GC
--
Sean Whitton
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