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datasets.filesystems: fix is_remote_filesystems #6334

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merged 1 commit into from
Oct 23, 2023

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@ap-- ap-- commented Oct 23, 2023

Close #6330, close #6333.

fsspec.implementations.LocalFilesystem.protocol
was changed from str "file" to tuple[str,...] ("file", "local") in fsspec>=2023.10.0

This commit supports both styles.

Close huggingface#6330

`fsspec.implementations.LocalFilesystem.protocol`
was changed from `str` "file" to `tuple[str,...]` ("file", "local")
in `fsspec>=2023.10.0`

This commit supports both styles.
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HuggingFaceDocBuilderDev commented Oct 23, 2023

The documentation is not available anymore as the PR was closed or merged.

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Thanks !

@lhoestq lhoestq merged commit 4bedb7d into huggingface:main Oct 23, 2023
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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) 0.006648 / 0.011353 (-0.004705) 0.004104 / 0.011008 (-0.006904) 0.084718 / 0.038508 (0.046210) 0.075342 / 0.023109 (0.052232) 0.332624 / 0.275898 (0.056726) 0.376758 / 0.323480 (0.053278) 0.005371 / 0.007986 (-0.002614) 0.003317 / 0.004328 (-0.001011) 0.065153 / 0.004250 (0.060902) 0.055270 / 0.037052 (0.018218) 0.342410 / 0.258489 (0.083920) 0.397484 / 0.293841 (0.103643) 0.031168 / 0.128546 (-0.097379) 0.008545 / 0.075646 (-0.067101) 0.297641 / 0.419271 (-0.121631) 0.052404 / 0.043533 (0.008871) 0.327633 / 0.255139 (0.072494) 0.362177 / 0.283200 (0.078977) 0.025056 / 0.141683 (-0.116627) 1.459023 / 1.452155 (0.006868) 1.529651 / 1.492716 (0.036935)

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) 0.242838 / 0.018006 (0.224832) 0.451007 / 0.000490 (0.450517) 0.013732 / 0.000200 (0.013532) 0.000345 / 0.000054 (0.000290)

Benchmark: benchmark_indices_mapping.json

metric select shard shuffle sort train_test_split
new / old (diff) 0.028068 / 0.037411 (-0.009343) 0.081970 / 0.014526 (0.067444) 0.096148 / 0.176557 (-0.080409) 0.151758 / 0.737135 (-0.585377) 0.095617 / 0.296338 (-0.200721)

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) 0.389188 / 0.215209 (0.173979) 3.867506 / 2.077655 (1.789852) 1.941912 / 1.504120 (0.437792) 1.759270 / 1.541195 (0.218076) 1.774714 / 1.468490 (0.306224) 0.476587 / 4.584777 (-4.108190) 3.539342 / 3.745712 (-0.206370) 3.434389 / 5.269862 (-1.835472) 2.047581 / 4.565676 (-2.518096) 0.056322 / 0.424275 (-0.367954) 0.007286 / 0.007607 (-0.000321) 0.461826 / 0.226044 (0.235781) 4.604179 / 2.268929 (2.335251) 2.405267 / 55.444624 (-53.039357) 2.133998 / 6.876477 (-4.742479) 2.187724 / 2.142072 (0.045652) 0.566578 / 4.805227 (-4.238650) 0.130007 / 6.500664 (-6.370657) 0.059685 / 0.075469 (-0.015784)

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) 1.256204 / 1.841788 (-0.585584) 18.829475 / 8.074308 (10.755167) 13.937879 / 10.191392 (3.746487) 0.163948 / 0.680424 (-0.516475) 0.018118 / 0.534201 (-0.516083) 0.389369 / 0.579283 (-0.189914) 0.399988 / 0.434364 (-0.034376) 0.459504 / 0.540337 (-0.080834) 0.674696 / 1.386936 (-0.712240)
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) 0.006806 / 0.011353 (-0.004547) 0.004103 / 0.011008 (-0.006905) 0.064477 / 0.038508 (0.025969) 0.079514 / 0.023109 (0.056405) 0.391657 / 0.275898 (0.115759) 0.422997 / 0.323480 (0.099517) 0.005485 / 0.007986 (-0.002501) 0.003461 / 0.004328 (-0.000868) 0.064621 / 0.004250 (0.060371) 0.057686 / 0.037052 (0.020633) 0.396885 / 0.258489 (0.138396) 0.431508 / 0.293841 (0.137667) 0.032305 / 0.128546 (-0.096241) 0.008617 / 0.075646 (-0.067030) 0.071577 / 0.419271 (-0.347694) 0.047769 / 0.043533 (0.004236) 0.394037 / 0.255139 (0.138898) 0.412593 / 0.283200 (0.129393) 0.023800 / 0.141683 (-0.117883) 1.479114 / 1.452155 (0.026959) 1.562422 / 1.492716 (0.069706)

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) 0.229822 / 0.018006 (0.211816) 0.452465 / 0.000490 (0.451975) 0.005877 / 0.000200 (0.005677) 0.000097 / 0.000054 (0.000043)

Benchmark: benchmark_indices_mapping.json

metric select shard shuffle sort train_test_split
new / old (diff) 0.033528 / 0.037411 (-0.003884) 0.091819 / 0.014526 (0.077294) 0.106188 / 0.176557 (-0.070368) 0.159480 / 0.737135 (-0.577655) 0.106326 / 0.296338 (-0.190013)

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) 0.427396 / 0.215209 (0.212187) 4.275196 / 2.077655 (2.197541) 2.287446 / 1.504120 (0.783326) 2.137089 / 1.541195 (0.595894) 2.198439 / 1.468490 (0.729949) 0.491006 / 4.584777 (-4.093771) 3.531067 / 3.745712 (-0.214645) 3.264357 / 5.269862 (-2.005505) 2.047760 / 4.565676 (-2.517916) 0.057982 / 0.424275 (-0.366293) 0.007278 / 0.007607 (-0.000329) 0.507471 / 0.226044 (0.281426) 5.073901 / 2.268929 (2.804973) 2.781799 / 55.444624 (-52.662825) 2.410759 / 6.876477 (-4.465718) 2.623331 / 2.142072 (0.481258) 0.601601 / 4.805227 (-4.203626) 0.131461 / 6.500664 (-6.369204) 0.060045 / 0.075469 (-0.015424)

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) 1.372946 / 1.841788 (-0.468842) 19.560818 / 8.074308 (11.486509) 14.388468 / 10.191392 (4.197076) 0.177310 / 0.680424 (-0.503114) 0.020233 / 0.534201 (-0.513967) 0.395938 / 0.579283 (-0.183345) 0.418336 / 0.434364 (-0.016028) 0.471731 / 0.540337 (-0.068607) 0.684679 / 1.386936 (-0.702257)

lhoestq pushed a commit that referenced this pull request Oct 23, 2023
Close #6330

`fsspec.implementations.LocalFilesystem.protocol`
was changed from `str` "file" to `tuple[str,...]` ("file", "local")
in `fsspec>=2023.10.0`

This commit supports both styles.
lhoestq pushed a commit that referenced this pull request Oct 23, 2023
Close #6330

`fsspec.implementations.LocalFilesystem.protocol`
was changed from `str` "file" to `tuple[str,...]` ("file", "local")
in `fsspec>=2023.10.0`

This commit supports both styles.
@lhoestq
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lhoestq commented Oct 23, 2023

We did a patch release containing your fix @ap-- !

albertvillanova pushed a commit that referenced this pull request Oct 24, 2023
Close #6330

`fsspec.implementations.LocalFilesystem.protocol`
was changed from `str` "file" to `tuple[str,...]` ("file", "local")
in `fsspec>=2023.10.0`

This commit supports both styles.
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Support fsspec 2023.10.0 Latest fsspec==2023.10.0 issue with streaming datasets
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