Replace list_files_info with list_repo_tree in push_to_hub

[mariosasko]

Starting from huggingface_hub 0.20.0, list_files_info will be deprecated in favor of list_repo_tree (see huggingface/huggingface_hub#1910)

[HuggingFaceDocBuilderDev]

The docs for this PR live here. All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.

[albertvillanova]

Thanks for the update. I think we need this merged for the imminent hfh release.

[lhoestq]

lgtm :)

[mariosasko]

CI errors are unrelated to the changes, so I'm merging.

[github-actions]

Show benchmarks

PyArrow==8.0.0

Show updated benchmarks!

Benchmark: benchmark_array_xd.json

metric	read_batch_formatted_as_numpy after write_array2d	read_batch_formatted_as_numpy after write_flattened_sequence	read_batch_formatted_as_numpy after write_nested_sequence	read_batch_unformated after write_array2d	read_batch_unformated after write_flattened_sequence	read_batch_unformated after write_nested_sequence	read_col_formatted_as_numpy after write_array2d	read_col_formatted_as_numpy after write_flattened_sequence	read_col_formatted_as_numpy after write_nested_sequence	read_col_unformated after write_array2d	read_col_unformated after write_flattened_sequence	read_col_unformated after write_nested_sequence	read_formatted_as_numpy after write_array2d	read_formatted_as_numpy after write_flattened_sequence	read_formatted_as_numpy after write_nested_sequence	read_unformated after write_array2d	read_unformated after write_flattened_sequence	read_unformated after write_nested_sequence	write_array2d	write_flattened_sequence	write_nested_sequence
new / old (diff)	0.005161 / 0.011353 (-0.006192)	0.003494 / 0.011008 (-0.007515)	0.062601 / 0.038508 (0.024093)	0.052876 / 0.023109 (0.029767)	0.255595 / 0.275898 (-0.020303)	0.283108 / 0.323480 (-0.040371)	0.003856 / 0.007986 (-0.004130)	0.002686 / 0.004328 (-0.001642)	0.048604 / 0.004250 (0.044353)	0.037886 / 0.037052 (0.000834)	0.252902 / 0.258489 (-0.005587)	0.286906 / 0.293841 (-0.006935)	0.028570 / 0.128546 (-0.099976)	0.010684 / 0.075646 (-0.064962)	0.208154 / 0.419271 (-0.211118)	0.036169 / 0.043533 (-0.007364)	0.276026 / 0.255139 (0.020887)	0.272274 / 0.283200 (-0.010925)	0.017690 / 0.141683 (-0.123993)	1.202400 / 1.452155 (-0.249755)	1.231223 / 1.492716 (-0.261494)

Benchmark: benchmark_getitem_100B.json

metric	get_batch_of_1024_random_rows	get_batch_of_1024_rows	get_first_row	get_last_row
new / old (diff)	0.095229 / 0.018006 (0.077222)	0.302205 / 0.000490 (0.301716)	0.000226 / 0.000200 (0.000026)	0.000045 / 0.000054 (-0.000010)

Benchmark: benchmark_indices_mapping.json

metric	select	shard	shuffle	sort	train_test_split
new / old (diff)	0.018877 / 0.037411 (-0.018534)	0.062286 / 0.014526 (0.047760)	0.075191 / 0.176557 (-0.101366)	0.121419 / 0.737135 (-0.615716)	0.075641 / 0.296338 (-0.220697)

Benchmark: benchmark_iterating.json

metric	read 5000	read 50000	read_batch 50000 10	read_batch 50000 100	read_batch 50000 1000	read_formatted numpy 5000	read_formatted pandas 5000	read_formatted tensorflow 5000	read_formatted torch 5000	read_formatted_batch numpy 5000 10	read_formatted_batch numpy 5000 1000	shuffled read 5000	shuffled read 50000	shuffled read_batch 50000 10	shuffled read_batch 50000 100	shuffled read_batch 50000 1000	shuffled read_formatted numpy 5000	shuffled read_formatted_batch numpy 5000 10	shuffled read_formatted_batch numpy 5000 1000
new / old (diff)	0.282914 / 0.215209 (0.067705)	2.769156 / 2.077655 (0.691501)	1.480219 / 1.504120 (-0.023901)	1.355742 / 1.541195 (-0.185453)	1.399740 / 1.468490 (-0.068750)	0.556365 / 4.584777 (-4.028412)	2.399679 / 3.745712 (-1.346033)	2.850510 / 5.269862 (-2.419351)	1.781428 / 4.565676 (-2.784249)	0.063045 / 0.424275 (-0.361230)	0.004931 / 0.007607 (-0.002676)	0.343743 / 0.226044 (0.117698)	3.374907 / 2.268929 (1.105978)	1.857774 / 55.444624 (-53.586851)	1.577154 / 6.876477 (-5.299323)	1.626597 / 2.142072 (-0.515475)	0.653991 / 4.805227 (-4.151236)	0.121306 / 6.500664 (-6.379358)	0.042131 / 0.075469 (-0.033339)

Benchmark: benchmark_map_filter.json

metric	filter	map fast-tokenizer batched	map identity	map identity batched	map no-op batched	map no-op batched numpy	map no-op batched pandas	map no-op batched pytorch	map no-op batched tensorflow
new / old (diff)	0.948826 / 1.841788 (-0.892962)	11.922497 / 8.074308 (3.848188)	10.592334 / 10.191392 (0.400942)	0.129145 / 0.680424 (-0.551279)	0.014652 / 0.534201 (-0.519549)	0.286074 / 0.579283 (-0.293210)	0.265338 / 0.434364 (-0.169026)	0.346872 / 0.540337 (-0.193466)	0.450480 / 1.386936 (-0.936456)

PyArrow==latest

Show updated benchmarks!

Benchmark: benchmark_array_xd.json

metric	read_batch_formatted_as_numpy after write_array2d	read_batch_formatted_as_numpy after write_flattened_sequence	read_batch_formatted_as_numpy after write_nested_sequence	read_batch_unformated after write_array2d	read_batch_unformated after write_flattened_sequence	read_batch_unformated after write_nested_sequence	read_col_formatted_as_numpy after write_array2d	read_col_formatted_as_numpy after write_flattened_sequence	read_col_formatted_as_numpy after write_nested_sequence	read_col_unformated after write_array2d	read_col_unformated after write_flattened_sequence	read_col_unformated after write_nested_sequence	read_formatted_as_numpy after write_array2d	read_formatted_as_numpy after write_flattened_sequence	read_formatted_as_numpy after write_nested_sequence	read_unformated after write_array2d	read_unformated after write_flattened_sequence	read_unformated after write_nested_sequence	write_array2d	write_flattened_sequence	write_nested_sequence
new / old (diff)	0.005305 / 0.011353 (-0.006048)	0.003583 / 0.011008 (-0.007426)	0.049855 / 0.038508 (0.011347)	0.052882 / 0.023109 (0.029773)	0.268429 / 0.275898 (-0.007469)	0.293375 / 0.323480 (-0.030105)	0.004052 / 0.007986 (-0.003934)	0.002685 / 0.004328 (-0.001644)	0.049206 / 0.004250 (0.044955)	0.040187 / 0.037052 (0.003135)	0.270112 / 0.258489 (0.011623)	0.306380 / 0.293841 (0.012539)	0.029161 / 0.128546 (-0.099386)	0.010948 / 0.075646 (-0.064698)	0.057721 / 0.419271 (-0.361550)	0.032628 / 0.043533 (-0.010905)	0.267458 / 0.255139 (0.012319)	0.291905 / 0.283200 (0.008705)	0.018096 / 0.141683 (-0.123587)	1.112744 / 1.452155 (-0.339410)	1.161962 / 1.492716 (-0.330754)

Benchmark: benchmark_getitem_100B.json

metric	get_batch_of_1024_random_rows	get_batch_of_1024_rows	get_first_row	get_last_row
new / old (diff)	0.097449 / 0.018006 (0.079443)	0.304270 / 0.000490 (0.303780)	0.000235 / 0.000200 (0.000035)	0.000060 / 0.000054 (0.000006)

Benchmark: benchmark_indices_mapping.json

metric	select	shard	shuffle	sort	train_test_split
new / old (diff)	0.023550 / 0.037411 (-0.013861)	0.078246 / 0.014526 (0.063720)	0.091229 / 0.176557 (-0.085327)	0.130624 / 0.737135 (-0.606511)	0.092767 / 0.296338 (-0.203571)

Benchmark: benchmark_iterating.json

metric	read 5000	read 50000	read_batch 50000 10	read_batch 50000 100	read_batch 50000 1000	read_formatted numpy 5000	read_formatted pandas 5000	read_formatted tensorflow 5000	read_formatted torch 5000	read_formatted_batch numpy 5000 10	read_formatted_batch numpy 5000 1000	shuffled read 5000	shuffled read 50000	shuffled read_batch 50000 10	shuffled read_batch 50000 100	shuffled read_batch 50000 1000	shuffled read_formatted numpy 5000	shuffled read_formatted_batch numpy 5000 10	shuffled read_formatted_batch numpy 5000 1000
new / old (diff)	0.284962 / 0.215209 (0.069753)	2.761090 / 2.077655 (0.683435)	1.545409 / 1.504120 (0.041289)	1.424573 / 1.541195 (-0.116622)	1.438869 / 1.468490 (-0.029621)	0.571281 / 4.584777 (-4.013496)	2.419493 / 3.745712 (-1.326219)	2.802611 / 5.269862 (-2.467251)	1.749880 / 4.565676 (-2.815796)	0.062566 / 0.424275 (-0.361709)	0.005243 / 0.007607 (-0.002364)	0.344653 / 0.226044 (0.118608)	3.367488 / 2.268929 (1.098559)	1.925871 / 55.444624 (-53.518754)	1.624258 / 6.876477 (-5.252219)	1.663742 / 2.142072 (-0.478330)	0.634553 / 4.805227 (-4.170675)	0.116745 / 6.500664 (-6.383919)	0.041734 / 0.075469 (-0.033735)

Benchmark: benchmark_map_filter.json

metric	filter	map fast-tokenizer batched	map identity	map identity batched	map no-op batched	map no-op batched numpy	map no-op batched pandas	map no-op batched pytorch	map no-op batched tensorflow
new / old (diff)	1.006808 / 1.841788 (-0.834980)	12.499711 / 8.074308 (4.425403)	10.956260 / 10.191392 (0.764868)	0.132393 / 0.680424 (-0.548031)	0.015924 / 0.534201 (-0.518277)	0.289837 / 0.579283 (-0.289446)	0.281565 / 0.434364 (-0.152799)	0.337393 / 0.540337 (-0.202945)	0.560385 / 1.386936 (-0.826551)