[python] Start supporting Python 3.9 #3693

StrikerRUS · 2020-12-30T02:38:00Z

I'm not modifying Travis config in this PR due to #3519.

Marking as WIP because there are a lot of conflicts between some of our dependencies which do not allow us perform tests. We should wait before all packages respect Python 3.9.

Conflicts log example:

2020-12-30T02:20:56.8858451Z Preparing transaction: ...working... done
2020-12-30T02:20:58.0813560Z Verifying transaction: ...working... done
2020-12-30T02:21:02.0222123Z Executing transaction: ...working... done
2020-12-30T02:21:03.2391111Z Collecting package metadata (current_repodata.json): ...working... done
2020-12-30T02:21:04.3348387Z Solving environment: ...working... failed with initial frozen solve. Retrying with flexible solve.
2020-12-30T02:21:05.3825560Z Solving environment: ...working... failed with repodata from current_repodata.json, will retry with next repodata source.
2020-12-30T02:21:10.0621884Z Collecting package metadata (repodata.json): ...working... done
2020-12-30T02:21:24.0520655Z Solving environment: ...working... failed with initial frozen solve. Retrying with flexible solve.
2020-12-30T02:21:44.8188104Z Solving environment: ...working... 
2020-12-30T02:21:44.8189265Z Building graph of deps:   0%|          | 0/16 [00:00<?, ?it/s]
2020-12-30T02:21:59.0810203Z Examining dask:   0%|          | 0/16 [00:00<?, ?it/s]        
2020-12-30T02:21:59.0813063Z Examining psutil:   6%|в–‹         | 1/16 [00:14<03:33, 14.26s/it]
2020-12-30T02:21:59.4039606Z Examining psutil:  12%|в–€в–Ћ        | 2/16 [00:14<01:39,  7.13s/it]
2020-12-30T02:21:59.4042497Z Examining python=3.9:  12%|в–€в–Ћ        | 2/16 [00:14<01:39,  7.13s/it]
2020-12-30T02:21:59.4236210Z Examining python=3.9:  19%|в–€в–‰        | 3/16 [00:14<01:06,  5.09s/it]
2020-12-30T02:21:59.4238547Z Examining @/linux-64::__unix==0=0:  19%|в–€в–‰        | 3/16 [00:14<01:06,  5.09s/it]
2020-12-30T02:22:02.4057805Z Examining pytest:  25%|в–€в–€в–Њ       | 4/16 [00:14<01:01,  5.09s/it]                 
2020-12-30T02:22:02.4060199Z Examining matplotlib:  31%|в–€в–€в–€в–Џ      | 5/16 [00:17<00:55,  5.09s/it]
2020-12-30T02:22:05.5478102Z Examining matplotlib:  38%|в–€в–€в–€в–Љ      | 6/16 [00:17<00:38,  3.86s/it]
2020-12-30T02:22:05.5479688Z Examining python-graphviz:  38%|в–€в–€в–€в–Љ      | 6/16 [00:20<00:38,  3.86s/it]
2020-12-30T02:22:05.7988092Z Examining python-graphviz:  44%|в–€в–€в–€в–€в–Ќ     | 7/16 [00:20<00:32,  3.65s/it]
2020-12-30T02:22:05.7989757Z Examining distributed:  44%|в–€в–€в–€в–€в–Ќ     | 7/16 [00:20<00:32,  3.65s/it]    
2020-12-30T02:22:10.3049543Z Examining distributed:  50%|в–€в–€в–€в–€в–€     | 8/16 [00:20<00:21,  2.63s/it]
2020-12-30T02:22:10.3050974Z Examining joblib:  50%|в–€в–€в–€в–€в–€     | 8/16 [00:25<00:21,  2.63s/it]     
2020-12-30T02:22:10.6000444Z Examining joblib:  56%|в–€в–€в–€в–€в–€в–‹    | 9/16 [00:25<00:22,  3.19s/it]
2020-12-30T02:22:10.6001904Z Examining pandas:  56%|в–€в–€в–€в–€в–€в–‹    | 9/16 [00:25<00:22,  3.19s/it]
2020-12-30T02:22:14.0423264Z Examining pandas:  62%|в–€в–€в–€в–€в–€в–€в–Ћ   | 10/16 [00:25<00:13,  2.32s/it]
2020-12-30T02:22:14.0425398Z Examining @/linux-64::__archspec==1=x86_64:  62%|в–€в–€в–€в–€в–€в–€в–Ћ   | 10/16 [00:29<00:13,  2.32s/it]
2020-12-30T02:22:14.0426722Z Examining @/linux-64::__archspec==1=x86_64:  69%|в–€в–€в–€в–€в–€в–€в–‰   | 11/16 [00:29<00:13,  2.66s/it]
2020-12-30T02:22:14.0430029Z Examining @/linux-64::__glibc==2.19=0:  69%|в–€в–€в–€в–€в–€в–€в–‰   | 11/16 [00:29<00:13,  2.66s/it]     
2020-12-30T02:22:17.7249828Z Examining numpy:  75%|в–€в–€в–€в–€в–€в–€в–€в–Њ  | 12/16 [00:29<00:10,  2.66s/it]                      
2020-12-30T02:22:17.7251404Z Examining scipy:  81%|в–€в–€в–€в–€в–€в–€в–€в–€в–Џ | 13/16 [00:32<00:07,  2.66s/it]
2020-12-30T02:22:22.2742329Z Examining scipy:  88%|в–€в–€в–€в–€в–€в–€в–€в–€в–Љ | 14/16 [00:32<00:04,  2.23s/it]
2020-12-30T02:22:22.2744426Z Examining scikit-learn:  88%|в–€в–€в–€в–€в–€в–€в–€в–€в–Љ | 14/16 [00:37<00:04,  2.23s/it]
2020-12-30T02:22:28.8136263Z Examining scikit-learn:  94%|в–€в–€в–€в–€в–€в–€в–€в–€в–€в–Ќ| 15/16 [00:37<00:02,  2.93s/it]
2020-12-30T02:22:28.8138027Z Examining dask-ml:  94%|в–€в–€в–€в–€в–€в–€в–€в–€в–€в–Ќ| 15/16 [00:43<00:02,  2.93s/it]     
2020-12-30T02:22:34.1382385Z Examining dask-ml: 100%|в–€в–€в–€в–€в–€в–€в–€в–€в–€в–€| 16/16 [00:43<00:00,  4.01s/it]
2020-12-30T02:22:34.1456838Z                                                                   
2020-12-30T02:22:34.1457535Z 
2020-12-30T02:22:34.1457964Z Determining conflicts:   0%|          | 0/16 [00:00<?, ?it/s]
2020-12-30T02:22:36.2461388Z Examining conflict for dask dask-ml:   0%|          | 0/16 [00:00<?, ?it/s]
2020-12-30T02:22:36.2463072Z Examining conflict for dask matplotlib pandas numpy scipy scikit-learn dask-ml:   6%|в–‹         | 1/16 [00:02<00:31,  2.10s/it]
2020-12-30T02:22:41.5141985Z Examining conflict for dask matplotlib pandas numpy scipy scikit-learn dask-ml:  12%|в–€в–Ћ        | 2/16 [00:02<00:14,  1.05s/it]
2020-12-30T02:22:41.5144562Z Examining conflict for dask distributed dask-ml:  12%|в–€в–Ћ        | 2/16 [00:07<00:14,  1.05s/it]                               
2020-12-30T02:22:43.6196762Z Examining conflict for dask distributed dask-ml:  19%|в–€в–‰        | 3/16 [00:07<00:30,  2.32s/it]
2020-12-30T02:22:43.6198976Z Examining conflict for dask pandas dask-ml:  19%|в–€в–‰        | 3/16 [00:09<00:30,  2.32s/it]     
2020-12-30T02:22:45.7216350Z Examining conflict for dask pandas dask-ml:  25%|в–€в–€в–Њ       | 4/16 [00:09<00:27,  2.25s/it]
2020-12-30T02:22:45.7218454Z Examining conflict for dask python pytest distributed joblib matplotlib scikit-learn dask-ml:  25%|в–€в–€в–Њ       | 4/16 [00:11<00:27,  2.25s/it]
2020-12-30T02:22:50.0337028Z Examining conflict for dask python pytest distributed joblib matplotlib scikit-learn dask-ml:  31%|в–€в–€в–€в–Џ      | 5/16 [00:11<00:24,  2.21s/it]
2020-12-30T02:22:50.0338867Z Examining conflict for dask pandas dask-ml matplotlib:  31%|в–€в–€в–€в–Џ      | 5/16 [00:15<00:24,  2.21s/it]                                       
2020-12-30T02:23:01.6780571Z Examining conflict for dask pandas dask-ml matplotlib:  38%|в–€в–€в–€в–Љ      | 6/16 [00:15<00:28,  2.84s/it]
2020-12-30T02:23:01.6788879Z Examining conflict for dask psutil python scipy pytest python-graphviz distributed joblib pandas matplotlib numpy scikit-learn dask-ml:  38%|в–€в–€в–€в–Љ      | 6/16 [00:26<00:28,  2.84s/it]
2020-12-30T02:23:07.5123854Z Examining conflict for dask psutil python scipy pytest python-graphviz distributed joblib pandas matplotlib numpy scikit-learn dask-ml:  44%|в–€в–€в–€в–€в–Ќ     | 7/16 [00:26<00:47,  5.27s/it]
2020-12-30T02:23:07.5126180Z Examining conflict for dask distributed psutil dask-ml:  44%|в–€в–€в–€в–€в–Ќ     | 7/16 [00:33<00:47,  5.27s/it]                                                                                
2020-12-30T02:23:09.7940319Z Examining conflict for dask distributed psutil dask-ml:  50%|в–€в–€в–€в–€в–€     | 8/16 [00:33<00:45,  5.65s/it]
2020-12-30T02:23:09.7942012Z Examining conflict for dask dask-ml pytest:  50%|в–€в–€в–€в–€в–€     | 8/16 [00:35<00:45,  5.65s/it]            
2020-12-30T02:23:13.3897918Z Examining conflict for dask dask-ml pytest:  56%|в–€в–€в–€в–€в–€в–‹    | 9/16 [00:35<00:32,  4.64s/it]
2020-12-30T02:23:13.3900098Z Examining conflict for dask scipy pytest distributed pandas matplotlib numpy scikit-learn dask-ml:  56%|в–€в–€в–€в–€в–€в–‹    | 9/16 [00:39<00:32,  4.64s/it]
2020-12-30T02:23:21.0349771Z Examining conflict for dask scipy pytest distributed pandas matplotlib numpy scikit-learn dask-ml:  62%|в–€в–€в–€в–€в–€в–€в–Ћ   | 10/16 [00:39<00:25,  4.33s/it]
2020-12-30T02:23:21.0352439Z Examining conflict for dask matplotlib:  62%|в–€в–€в–€в–€в–€в–€в–Ћ   | 10/16 [00:46<00:25,  4.33s/it]                                                           
2020-12-30T02:23:21.0353852Z Examining conflict for dask matplotlib:  69%|в–€в–€в–€в–€в–€в–€в–‰   | 11/16 [00:46<00:26,  5.32s/it]
2020-12-30T02:23:34.0679061Z Examining conflict for dask distributed dask-ml matplotlib:  69%|в–€в–€в–€в–€в–€в–€в–‰   | 11/16 [00:46<00:26,  5.32s/it]
2020-12-30T02:23:34.0681309Z Examining conflict for dask psutil python pytest python-graphviz distributed joblib pandas numpy scipy scikit-learn dask-ml:  75%|в–€в–€в–€в–€в–€в–€в–€в–Њ  | 12/16 [00:59<00:21,  5.32s/it]
2020-12-30T02:23:43.6212410Z Examining conflict for dask psutil python pytest python-graphviz distributed joblib pandas numpy scipy scikit-learn dask-ml:  81%|в–€в–€в–€в–€в–€в–€в–€в–€в–Џ | 13/16 [00:59<00:17,  5.68s/it]
2020-12-30T02:23:43.6218890Z Examining conflict for psutil python matplotlib pandas numpy scipy scikit-learn dask-ml:  81%|в–€в–€в–€в–€в–€в–€в–€в–€в–Џ | 13/16 [01:09<00:17,  5.68s/it]                                    
2020-12-30T02:23:49.7070244Z Examining conflict for psutil python matplotlib pandas numpy scipy scikit-learn dask-ml:  88%|в–€в–€в–€в–€в–€в–€в–€в–€в–Љ | 14/16 [01:09<00:13,  6.84s/it]
2020-12-30T02:23:49.7072416Z Examining conflict for dask-ml pytest:  88%|в–€в–€в–€в–€в–€в–€в–€в–€в–Љ | 14/16 [01:15<00:13,  6.84s/it]                                                  
2020-12-30T02:23:51.8851691Z Examining conflict for dask-ml pytest:  94%|в–€в–€в–€в–€в–€в–€в–€в–€в–€в–Ќ| 15/16 [01:15<00:06,  6.62s/it]
2020-12-30T02:23:51.8853381Z Examining conflict for pytest distributed joblib matplotlib dask-ml:  94%|в–€в–€в–€в–€в–€в–€в–€в–€в–€в–Ќ| 15/16 [01:17<00:06,  6.62s/it]
2020-12-30T02:23:54.7594261Z Examining conflict for pytest distributed joblib matplotlib dask-ml: 100%|в–€в–€в–€в–€в–€в–€в–€в–€в–€в–€| 16/16 [01:17<00:00,  5.28s/it]
2020-12-30T02:23:54.7596492Z Examining conflict for matplotlib dask-ml pytest: 100%|в–€в–€в–€в–€в–€в–€в–€в–€в–€в–€| 16/16 [01:20<00:00,  5.28s/it]                   
2020-12-30T02:23:57.5402873Z Examining conflict for matplotlib dask-ml pytest: : 17it [01:20,  4.56s/it]                      
2020-12-30T02:23:57.5405161Z Examining conflict for matplotlib python-graphviz: : 17it [01:23,  4.56s/it]
2020-12-30T02:23:58.7400498Z Examining conflict for matplotlib python-graphviz: : 18it [01:23,  4.03s/it]
2020-12-30T02:23:58.7401643Z Examining conflict for matplotlib distributed: : 18it [01:24,  4.03s/it]    
2020-12-30T02:23:59.9881432Z Examining conflict for matplotlib distributed: : 19it [01:24,  3.18s/it]
2020-12-30T02:23:59.9884634Z Examining conflict for joblib scikit-learn dask-ml: : 19it [01:25,  3.18s/it]
2020-12-30T02:24:02.0556773Z Examining conflict for joblib scikit-learn dask-ml: : 20it [01:25,  2.60s/it]
2020-12-30T02:24:02.0558147Z Examining conflict for numpy scipy scikit-learn: : 20it [01:27,  2.60s/it]   
2020-12-30T02:24:04.2056795Z Examining conflict for numpy scipy scikit-learn: : 21it [01:27,  2.44s/it]
2020-12-30T02:24:04.2058237Z Examining conflict for scipy scikit-learn dask-ml: : 21it [01:30,  2.44s/it]
2020-12-30T02:24:06.3409550Z Examining conflict for scipy scikit-learn dask-ml: : 22it [01:30,  2.35s/it]
2020-12-30T02:24:06.3411557Z Examining conflict for scikit-learn dask-ml: : 22it [01:32,  2.35s/it]      
2020-12-30T02:24:08.4925909Z Examining conflict for scikit-learn dask-ml: : 23it [01:32,  2.29s/it]
2020-12-30T02:24:08.5361961Z                                                                       
2020-12-30T02:24:08.5363743Z Found conflicts! Looking for incompatible packages.
2020-12-30T02:24:08.5365611Z This can take several minutes.  Press CTRL-C to abort.
2020-12-30T02:24:08.5366428Z failed
2020-12-30T02:24:08.5366678Z 
2020-12-30T02:24:08.5367368Z UnsatisfiableError: The following specifications were found
2020-12-30T02:24:08.5368283Z to be incompatible with the existing python installation in your environment:
2020-12-30T02:24:08.5369035Z 
2020-12-30T02:24:08.5369322Z Specifications:
2020-12-30T02:24:08.5370044Z 
2020-12-30T02:24:08.5371115Z   - matplotlib -> python[version='>=2.7,<2.8.0a0|>=3.5,<3.6.0a0|>=3.6,<3.7.0a0|>=3.7,<3.8.0a0|>=3.8,<3.9.0a0']
2020-12-30T02:24:08.5372889Z   - python-graphviz -> python[version='>=2.7,<2.8.0a0|>=3.5,<3.6.0a0|>=3.7,<3.8.0a0|>=3.8,<3.9.0a0|>=3.6,<3.7.0a0']
2020-12-30T02:24:08.5374152Z 
2020-12-30T02:24:08.5374810Z Your python: python=3.9
2020-12-30T02:24:08.5375425Z 
2020-12-30T02:24:08.5376529Z If python is on the left-most side of the chain, that's the version you've asked for.
2020-12-30T02:24:08.5377494Z When python appears to the right, that indicates that the thing on the left is somehow
2020-12-30T02:24:08.5380612Z not available for the python version you are constrained to. Note that conda will not
2020-12-30T02:24:08.5387256Z change your python version to a different minor version unless you explicitly specify
2020-12-30T02:24:08.5388950Z that.
2020-12-30T02:24:08.5391680Z 
2020-12-30T02:24:08.5392683Z The following specifications were found to be incompatible with each other:
2020-12-30T02:24:08.5393417Z 
2020-12-30T02:24:08.5394507Z Output in format: Requested package -> Available versions
2020-12-30T02:24:08.5395449Z 
2020-12-30T02:24:08.5396297Z Package packaging conflicts for:
2020-12-30T02:24:08.5407490Z dask -> bokeh[version='>=1.0.0,!=2.0.0'] -> packaging[version='>=16.8']
2020-12-30T02:24:08.5408839Z pytest -> packaging
2020-12-30T02:24:08.5412347Z dask-ml -> packaging
2020-12-30T02:24:08.5412735Z 
2020-12-30T02:24:08.5413050Z Package six conflicts for:
2020-12-30T02:24:08.5413674Z scikit-learn -> mkl-service[version='>=2,<3.0a0'] -> six
2020-12-30T02:24:08.5414312Z scipy -> mkl-service[version='>=2,<3.0a0'] -> six
2020-12-30T02:24:08.5414981Z matplotlib -> cycler[version='>=0.10'] -> six[version='>=1.5']
2020-12-30T02:24:08.5415535Z distributed -> six
2020-12-30T02:24:08.5416185Z pytest -> more-itertools[version='>=4.0.0'] -> six[version='>=1.0.0,<2.0.0']
2020-12-30T02:24:08.5416905Z pandas -> python-dateutil[version='>=2.7.3'] -> six[version='>=1.5']
2020-12-30T02:24:08.5417524Z pytest -> six[version='>=1.10.0']
2020-12-30T02:24:08.5418323Z numpy -> mkl-service[version='>=2,<3.0a0'] -> six
2020-12-30T02:24:08.5418862Z dask-ml -> six
2020-12-30T02:24:08.5419476Z dask -> bokeh[version='>=1.0.0,!=2.0.0'] -> six[version='>=1.5.2']
2020-12-30T02:24:08.5419828Z 
2020-12-30T02:24:08.5420325Z Package python-dateutil conflicts for:
2020-12-30T02:24:08.5420988Z pandas -> python-dateutil[version='>=2.5.*|>=2.6.1|>=2.7.3']
2020-12-30T02:24:08.5421574Z matplotlib -> python-dateutil
2020-12-30T02:24:08.5422263Z dask-ml -> pandas[version='>=0.23.0'] -> python-dateutil[version='>=2.5.*|>=2.6.1|>=2.7.3']
2020-12-30T02:24:08.5423546Z matplotlib -> matplotlib-base[version='>=3.3.2,<3.3.3.0a0'] -> python-dateutil[version='>=2.1']
2020-12-30T02:24:08.5424489Z dask -> bokeh[version='>=1.0.0,!=2.0.0'] -> python-dateutil[version='>=2.1|>=2.7.3|>=2.6.1|>=2.5.*']
2020-12-30T02:24:08.5424957Z 
2020-12-30T02:24:08.5425293Z Package _libgcc_mutex conflicts for:
2020-12-30T02:24:08.5426013Z python=3.9 -> libgcc-ng[version='>=7.3.0'] -> _libgcc_mutex=[build=main]
2020-12-30T02:24:08.5426741Z matplotlib -> libgcc-ng[version='>=7.3.0'] -> _libgcc_mutex=[build=main]
2020-12-30T02:24:08.5427469Z pandas -> libgcc-ng[version='>=7.3.0'] -> _libgcc_mutex=[build=main]
2020-12-30T02:24:08.5428159Z numpy -> libgcc-ng[version='>=7.3.0'] -> _libgcc_mutex=[build=main]
2020-12-30T02:24:08.5428882Z scikit-learn -> libgcc-ng[version='>=7.3.0'] -> _libgcc_mutex=[build=main]
2020-12-30T02:24:08.5429608Z psutil -> libgcc-ng[version='>=7.3.0'] -> _libgcc_mutex=[build=main]
2020-12-30T02:24:08.5430296Z scipy -> libgcc-ng[version='>=7.3.0'] -> _libgcc_mutex=[build=main]
2020-12-30T02:24:08.5431004Z dask-ml -> libgcc-ng[version='>=7.2.0'] -> _libgcc_mutex=[build=main]
2020-12-30T02:24:08.5431510Z 
2020-12-30T02:24:08.5432029Z Package psutil conflicts for:
2020-12-30T02:24:08.5432705Z dask-ml -> distributed[version='>=1.25.0'] -> psutil[version='>=5.0']
2020-12-30T02:24:08.5433347Z distributed -> psutil[version='>=5.0']
2020-12-30T02:24:08.5433652Z 
2020-12-30T02:24:08.5433974Z Package tornado conflicts for:
2020-12-30T02:24:08.5434483Z matplotlib -> tornado
2020-12-30T02:24:08.5435315Z distributed -> tornado[version='>=4.5.1|>=5|>=6.0.3']
2020-12-30T02:24:08.5436601Z dask -> bokeh[version='>=1.0.0,!=2.0.0'] -> tornado[version='>=4.3|>=5|>=5.1|>=6.0.3|>=4.5.1']
2020-12-30T02:24:08.5437410Z dask-ml -> distributed[version='>=1.25.0'] -> tornado[version='>=4.5.1|>=5|>=6.0.3']
2020-12-30T02:24:08.5437807Z 
2020-12-30T02:24:08.5438128Z Package tzdata conflicts for:
2020-12-30T02:24:08.5438720Z numpy -> python[version='>=3.9,<3.10.0a0'] -> tzdata
2020-12-30T02:24:08.5439339Z dask-ml -> python[version='>=3'] -> tzdata
2020-12-30T02:24:08.5440250Z python-graphviz -> python -> tzdata
2020-12-30T02:24:08.5442064Z pandas -> python[version='>=3.9,<3.10.0a0'] -> tzdata
2020-12-30T02:24:08.5442772Z distributed -> python[version='>=3.9,<3.10.0a0'] -> tzdata
2020-12-30T02:24:08.5443603Z pytest -> python[version='>=3.9,<3.10.0a0'] -> tzdata
2020-12-30T02:24:08.5444246Z scikit-learn -> python[version='>=3.9,<3.10.0a0'] -> tzdata
2020-12-30T02:24:08.5444827Z python=3.9 -> tzdata
2020-12-30T02:24:08.5445397Z joblib -> python[version='>=3.6'] -> tzdata
2020-12-30T02:24:08.5446009Z psutil -> python[version='>=3.9,<3.10.0a0'] -> tzdata
2020-12-30T02:24:08.5446617Z dask -> python[version='>=3.6'] -> tzdata
2020-12-30T02:24:08.5447229Z scipy -> python[version='>=3.9,<3.10.0a0'] -> tzdata
2020-12-30T02:24:08.5447575Z 
2020-12-30T02:24:08.5447880Z Package dask conflicts for:
2020-12-30T02:24:08.5448465Z dask-ml -> dask-searchcv -> dask[version='>=0.14.0']
2020-12-30T02:24:08.5449065Z dask-ml -> dask[version='>=0.18.2|>=1.0.0']
2020-12-30T02:24:08.5449373Z 
2020-12-30T02:24:08.5449869Z Package intel-openmp conflicts for:
2020-12-30T02:24:08.5450514Z numpy -> mkl[version='>=2019.4,<2021.0a0'] -> intel-openmp
2020-12-30T02:24:08.5451194Z scikit-learn -> mkl[version='>=2019.4,<2021.0a0'] -> intel-openmp
2020-12-30T02:24:08.5451874Z scipy -> mkl[version='>=2019.4,<2021.0a0'] -> intel-openmp
2020-12-30T02:24:08.5452207Z 
2020-12-30T02:24:08.5452636Z Package freetype conflicts for:
2020-12-30T02:24:08.5453263Z matplotlib -> freetype[version='>=2.8,<2.9.0a0|>=2.9.1,<3.0a0']
2020-12-30T02:24:08.5454085Z matplotlib -> matplotlib-base[version='>=3.3.2,<3.3.3.0a0'] -> freetype[version='>=2.10.2,<3.0a0|>=2.10.4,<3.0a0']
2020-12-30T02:24:08.5454521Z 
2020-12-30T02:24:08.5454849Z Package setuptools conflicts for:
2020-12-30T02:24:08.5455446Z scikit-learn -> joblib[version='>=0.11'] -> setuptools
2020-12-30T02:24:08.5456371Z dask-ml -> setuptools
2020-12-30T02:24:08.5457008Z distributed -> setuptools
2020-12-30T02:24:08.5457552Z python=3.9 -> pip -> setuptools
2020-12-30T02:24:08.5458079Z matplotlib -> setuptools
2020-12-30T02:24:08.5458592Z joblib -> setuptools
2020-12-30T02:24:08.5459126Z pytest -> setuptools[version='>=40.0']
2020-12-30T02:24:08.5459770Z dask -> distributed[version='>=2020.12.0'] -> setuptools
2020-12-30T02:24:08.5460105Z 
2020-12-30T02:24:08.5460423Z Package scipy conflicts for:
2020-12-30T02:24:08.5461067Z dask-ml -> dask-glm[version='>=0.2.0'] -> scipy[version='>=0.13.0|>=0.18.1']
2020-12-30T02:24:08.5461658Z dask-ml -> scipy
2020-12-30T02:24:08.5462137Z scikit-learn -> scipy
2020-12-30T02:24:08.5462422Z 
2020-12-30T02:24:08.5462733Z Package pyparsing conflicts for:
2020-12-30T02:24:08.5463371Z pytest -> packaging -> pyparsing[version='>=2.0.2']
2020-12-30T02:24:08.5464025Z dask-ml -> packaging -> pyparsing[version='>=2.0.2']
2020-12-30T02:24:08.5465367Z matplotlib -> matplotlib-base[version='>=3.3.2,<3.3.3.0a0'] -> pyparsing[version='>=2.0.3,!=2.0.4,!=2.1.2,!=2.1.6']
2020-12-30T02:24:08.5466244Z matplotlib -> pyparsing
2020-12-30T02:24:08.5466549Z 
2020-12-30T02:24:08.5466871Z Package backports_abc conflicts for:
2020-12-30T02:24:08.5467491Z matplotlib -> tornado -> backports_abc[version='>=0.4']
2020-12-30T02:24:08.5468181Z distributed -> tornado[version='>=5'] -> backports_abc[version='>=0.4']
2020-12-30T02:24:08.5468558Z 
2020-12-30T02:24:08.5468866Z Package certifi conflicts for:
2020-12-30T02:24:08.5469501Z joblib -> setuptools -> certifi[version='>=2016.09|>=2016.9.26']
2020-12-30T02:24:08.5470201Z distributed -> setuptools -> certifi[version='>=2016.09|>=2016.9.26']
2020-12-30T02:24:08.5470958Z pytest -> setuptools[version='>=40.0'] -> certifi[version='>=2016.09|>=2016.9.26']
2020-12-30T02:24:08.5471997Z dask-ml -> setuptools -> certifi[version='>=2016.09|>=2016.9.26']
2020-12-30T02:24:08.5472889Z matplotlib -> matplotlib-base[version='>=3.3.2,<3.3.3.0a0'] -> certifi[version='>=2016.09|>=2016.9.26|>=2020.06.20']
2020-12-30T02:24:08.5473327Z 
2020-12-30T02:24:08.5473643Z Package icu conflicts for:
2020-12-30T02:24:08.5474234Z python-graphviz -> graphviz -> icu[version='>=58.2,<59.0a0']
2020-12-30T02:24:08.5474869Z matplotlib -> icu[version='>=58.2,<59.0a0']
2020-12-30T02:24:08.5475178Z 
2020-12-30T02:24:08.5475507Z Package distributed conflicts for:
2020-12-30T02:24:08.5476210Z dask-ml -> distributed[version='>=1.25.0']
2020-12-30T02:24:08.5478384Z dask-ml -> dask[version='>=1.0.0'] -> distributed[version='>=1.16.0|>=1.19.0|>=1.20.0|>=1.21.0|>=1.22.0|>=1.23.0|>=1.23.1|>=1.23.2|>=1.23.3|>=1.24.2|>=1.25.3|>=1.26.0|>=1.26.1|>=1.27.0|>=1.28.0|>=2|>=2.10.0|>=2.11.0|>=2.12.0|>=2.13.0|>=2.14.0|>=2.15.0|>=2.16.0|>=2.17.0|>=2.18.0|>=2.19.0|>=2.20.0|>=2.22.0|>=2.23.0|>=2.24.0|>=2.25.0|>=2.26.0|>=2.27.0|>=2.29.0|>=2.30.0|>=2020.12.0|>=2.9.2|>=2.9.1|>=2.9.0|>=2.8.1|>=2.8.0|>=2.7.0|>=2.6.0|>=2.5.2|>=2.5.0|>=2.4.0|>=2.3.0|>=2.2.0|>=1.21.1']
2020-12-30T02:24:08.5479588Z 
2020-12-30T02:24:08.5479915Z Package numpy conflicts for:
2020-12-30T02:24:08.5480793Z pandas -> numpy[version='>=1.11.3,<2.0a0|>=1.12.1,<2.0a0|>=1.13.3,<2.0a0|>=1.14.6,<2.0a0|>=1.15.4,<2.0a0|>=1.16.6,<2.0a0|>=1.9.3,<2.0a0|>=1.9']
2020-12-30T02:24:08.5482297Z dask-ml -> dask[version='>=1.0.0'] -> numpy[version='1.13.*|>=1.10,<1.11.0a0|>=1.11.0|>=1.13.0|>=1.15.1|>=1.14.6,<2.0a0|>=1.12,<1.13.0a0|>=1.14,<1.15.0a0|>=1.13,<1.14.0a0|>=1.11,<1.12.0a0|>=1.16.6,<2.0a0|>=1.15.4,<2.0a0|>=1.13.3,<2.0a0|>=1.12.1,<2.0a0|>=1.15.1,<2.0a0|>=1.10.4|>=1.10|>=1.9|>=1.8.0']
2020-12-30T02:24:08.5483498Z matplotlib -> numpy[version='>=1.14.6,<2.0a0']
2020-12-30T02:24:08.5484298Z matplotlib -> matplotlib-base[version='>=3.3.2,<3.3.3.0a0'] -> numpy[version='>=1.15.4,<2.0a0|>=1.16.6,<2.0a0']
2020-12-30T02:24:08.5485153Z scikit-learn -> numpy[version='>=1.11.3,<2.0a0|>=1.14.6,<2.0a0|>=1.16.6,<2.0a0|>=1.9.3,<2.0a0']
2020-12-30T02:24:08.5485893Z scikit-learn -> scipy -> numpy[version='>=1.15.1,<2.0a0']
2020-12-30T02:24:08.5486549Z dask-ml -> numpy[version='>=1.11.3,<2.0a0|>=1.9.3,<2.0a0']
2020-12-30T02:24:08.5487386Z scipy -> numpy[version='>=1.11.3,<2.0a0|>=1.14.6,<2.0a0|>=1.16.6,<2.0a0|>=1.15.1,<2.0a0|>=1.9.3,<2.0a0']
2020-12-30T02:24:08.5487804Z 
2020-12-30T02:24:08.5488132Z Package funcsigs conflicts for:
2020-12-30T02:24:08.5488664Z pytest -> funcsigs[version='>=1.0']
2020-12-30T02:24:08.5489208Z dask-ml -> numba -> funcsigs
2020-12-30T02:24:08.5489495Z 
2020-12-30T02:24:08.5489813Z Package joblib conflicts for:
2020-12-30T02:24:08.5490448Z dask-ml -> scikit-learn[version='>=0.23.0'] -> joblib[version='>=0.11']
2020-12-30T02:24:08.5491100Z scikit-learn -> joblib[version='>=0.11']
2020-12-30T02:24:08.5491405Z 
2020-12-30T02:24:08.5491898Z Package scikit-learn conflicts for:
2020-12-30T02:24:08.5492589Z dask-ml -> dask-glm[version='>=0.2.0'] -> scikit-learn[version='>=0.18|>=0.18.0']
2020-12-30T02:24:08.5493279Z dask-ml -> scikit-learn[version='>=0.20.0|>=0.23.0']
2020-12-30T02:24:08.5493604Z 
2020-12-30T02:24:08.5493922Z Package pandas conflicts for:
2020-12-30T02:24:08.5494558Z dask-ml -> dask[version='>=1.0.0'] -> pandas[version='>=0.19.0|>=0.25.0']
2020-12-30T02:24:08.5495221Z dask-ml -> pandas[version='>=0.21.0|>=0.23.0']

StrikerRUS · 2021-01-29T20:19:47Z

I think this PR is ready for review.

jameslamb

Looks from the tests like everything is going well! I agree with the choices you made in which jobs get version changes in .vsts-ci.yml. Looks good to me!

github-actions · 2023-08-24T01:27:46Z

This pull request has been automatically locked since there has not been any recent activity since it was closed. To start a new related discussion, open a new issue at https://github.com/microsoft/LightGBM/issues including a reference to this.

StrikerRUS added 6 commits December 30, 2020 05:05

start supporting Python 3.9

3add3d7

Update .vsts-ci.yml

17c9e4f

Update .vsts-ci.yml

6963d58

Update .appveyor.yml

2eca5c0

Update .vsts-ci.yml

7313e47

Update .appveyor.yml

264aea8

StrikerRUS added the feature label Dec 30, 2020

StrikerRUS requested review from chivee, henry0312, Laurae2 and wxchan as code owners December 30, 2020 02:38

StrikerRUS added 2 commits January 11, 2021 14:55

Merge remote-tracking branch 'origin/master' into py39

0190ae7

fixed conflicts

3613f5f

StrikerRUS requested review from guolinke and jameslamb as code owners January 29, 2021 19:18

StrikerRUS added 2 commits January 29, 2021 22:19

Merge branch 'master' into py39

d435945

continue

053aee2

StrikerRUS changed the title ~~[WIP][python] Start supporting Python 3.9~~ [python] Start supporting Python 3.9 Jan 29, 2021

jameslamb approved these changes Jan 29, 2021

View reviewed changes

Merge branch 'master' into py39

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StrikerRUS merged commit be2fe2f into master Jan 31, 2021

StrikerRUS deleted the py39 branch January 31, 2021 15:18

jayfurmanek mentioned this pull request Jun 1, 2021

Update LightGBM to 3.2.1 open-ce/LightGBM-feedstock#16

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[python] Start supporting Python 3.9 #3693

[python] Start supporting Python 3.9 #3693

StrikerRUS commented Dec 30, 2020

StrikerRUS commented Jan 29, 2021 •

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[python] Start supporting Python 3.9 #3693

[python] Start supporting Python 3.9 #3693

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