Temporarily pin fsspec < 2023.9.0
State: closed | Author: albertvillanova (MEMBER)

Temporarily pin fsspec < 2023.9.0 until permanent solution is found.

Hot fix #6209.

Comments: _The documentation is not available anymore as the PR was closed or merged._

<details>
<summary>Show benchmarks</summary>

PyArrow==8.0.0

<details>
<summary>Show updated benchmarks!</summary>

### 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) | 0.006494 / 0.011353 (-0.004859) | 0.003896 / 0.011008 (-0.007112) | 0.083940 / 0.038508 (0.045432) | 0.068335 / 0.023109 (0.045225) | 0.365770 / 0.275898 (0.089872) | 0.403702 / 0.323480 (0.080222) | 0.004005 / 0.007986 (-0.003981) | 0.003276 / 0.004328 (-0.001052) | 0.064877 / 0.004250 (0.060626) | 0.053524 / 0.037052 (0.016472) | 0.372951 / 0.258489 (0.114462) | 0.420935 / 0.293841 (0.127094) | 0.030656 / 0.128546 (-0.097890) | 0.009048 / 0.075646 (-0.066599) | 0.287607 / 0.419271 (-0.131665) | 0.052042 / 0.043533 (0.008509) | 0.371446 / 0.255139 (0.116307) | 0.408781 / 0.283200 (0.125581) | 0.024228 / 0.141683 (-0.117455) | 1.483325 / 1.452155 (0.031170) | 1.544321 / 1.492716 (0.051605) |

### 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) | 0.212355 / 0.018006 (0.194349) | 0.463298 / 0.000490 (0.462808) | 0.005170 / 0.000200 (0.004970) | 0.000087 / 0.000054 (0.000032) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.027824 / 0.037411 (-0.009587) | 0.081880 / 0.014526 (0.067354) | 0.094886 / 0.176557 (-0.081670) | 0.150024 / 0.737135 (-0.587111) | 0.096643 / 0.296338 (-0.199696) |

### 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) | 0.388521 / 0.215209 (0.173312) | 3.877251 / 2.077655 (1.799596) | 1.931085 / 1.504120 (0.426965) | 1.766525 / 1.541195 (0.225330) | 1.814802 / 1.468490 (0.346312) | 0.489478 / 4.584777 (-4.095299) | 3.570973 / 3.745712 (-0.174739) | 3.190211 / 5.269862 (-2.079651) | 2.015670 / 4.565676 (-2.550006) | 0.057773 / 0.424275 (-0.366503) | 0.007611 / 0.007607 (0.000004) | 0.462162 / 0.226044 (0.236117) | 4.616173 / 2.268929 (2.347244) | 2.360531 / 55.444624 (-53.084094) | 2.053680 / 6.876477 (-4.822797) | 2.228057 / 2.142072 (0.085985) | 0.584921 / 4.805227 (-4.220306) | 0.132470 / 6.500664 (-6.368194) | 0.060482 / 0.075469 (-0.014987) |

### 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) | 1.263393 / 1.841788 (-0.578394) | 19.416841 / 8.074308 (11.342532) | 14.049032 / 10.191392 (3.857640) | 0.162822 / 0.680424 (-0.517602) | 0.018189 / 0.534201 (-0.516012) | 0.391142 / 0.579283 (-0.188141) | 0.409367 / 0.434364 (-0.024997) | 0.454589 / 0.540337 (-0.085748) | 0.632946 / 1.386936 (-0.753990) |

</details>
PyArrow==latest

<details>
<summary>Show updated benchmarks!</summary>

### 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) | 0.006568 / 0.011353 (-0.004785) | 0.004026 / 0.011008 (-0.006982) | 0.064522 / 0.038508 (0.026014) | 0.071738 / 0.023109 (0.048629) | 0.395771 / 0.275898 (0.119873) | 0.421553 / 0.323480 (0.098073) | 0.005291 / 0.007986 (-0.002694) | 0.003266 / 0.004328 (-0.001063) | 0.064464 / 0.004250 (0.060214) | 0.054622 / 0.037052 (0.017569) | 0.395010 / 0.258489 (0.136521) | 0.433895 / 0.293841 (0.140054) | 0.031670 / 0.128546 (-0.096876) | 0.008536 / 0.075646 (-0.067111) | 0.071059 / 0.419271 (-0.348212) | 0.047117 / 0.043533 (0.003584) | 0.391210 / 0.255139 (0.136071) | 0.411685 / 0.283200 (0.128486) | 0.022779 / 0.141683 (-0.118904) | 1.479900 / 1.452155 (0.027746) | 1.551853 / 1.492716 (0.059137) |

### 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) | 0.332814 / 0.018006 (0.314807) | 0.460654 / 0.000490 (0.460164) | 0.062257 / 0.000200 (0.062057) | 0.000374 / 0.000054 (0.000319) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.031801 / 0.037411 (-0.005610) | 0.090730 / 0.014526 (0.076204) | 0.102955 / 0.176557 (-0.073602) | 0.155928 / 0.737135 (-0.581207) | 0.103028 / 0.296338 (-0.193310) |

### 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) | 0.434460 / 0.215209 (0.219251) | 4.331550 / 2.077655 (2.253895) | 2.335990 / 1.504120 (0.831870) | 2.183985 / 1.541195 (0.642790) | 2.233086 / 1.468490 (0.764595) | 0.488484 / 4.584777 (-4.096293) | 3.603856 / 3.745712 (-0.141856) | 3.229833 / 5.269862 (-2.040029) | 2.007366 / 4.565676 (-2.558311) | 0.057658 / 0.424275 (-0.366617) | 0.007339 / 0.007607 (-0.000268) | 0.512812 / 0.226044 (0.286768) | 5.141497 / 2.268929 (2.872569) | 2.847383 / 55.444624 (-52.597241) | 2.467010 / 6.876477 (-4.409467) | 2.644995 / 2.142072 (0.502923) | 0.581385 / 4.805227 (-4.223842) | 0.130755 / 6.500664 (-6.369909) | 0.058834 / 0.075469 (-0.016635) |

### 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) | 1.350162 / 1.841788 (-0.491626) | 19.768412 / 8.074308 (11.694104) | 15.079196 / 10.191392 (4.887804) | 0.167083 / 0.680424 (-0.513341) | 0.020372 / 0.534201 (-0.513829) | 0.402685 / 0.579283 (-0.176598) | 0.408338 / 0.434364 (-0.026026) | 0.476788 / 0.540337 (-0.063550) | 0.654765 / 1.386936 (-0.732171) |

</details>
</details>

![](https://cml.dev/watermark.png#ff803c7e9f256c5a137c25c090e18d844f9fc6e4 "CML watermark")


<details>
<summary>Show benchmarks</summary>

PyArrow==8.0.0

<details>
<summary>Show updated benchmarks!</summary>

### 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) | 0.008047 / 0.011353 (-0.003305) | 0.004662 / 0.011008 (-0.006346) | 0.102487 / 0.038508 (0.063978) | 0.096832 / 0.023109 (0.073723) | 0.375298 / 0.275898 (0.099400) | 0.420604 / 0.323480 (0.097124) | 0.004655 / 0.007986 (-0.003330) | 0.005699 / 0.004328 (0.001370) | 0.077681 / 0.004250 (0.073430) | 0.065987 / 0.037052 (0.028935) | 0.393146 / 0.258489 (0.134657) | 0.436324 / 0.293841 (0.142483) | 0.036168 / 0.128546 (-0.092378) | 0.010398 / 0.075646 (-0.065248) | 0.347579 / 0.419271 (-0.071693) | 0.061723 / 0.043533 (0.018190) | 0.377439 / 0.255139 (0.122300) | 0.416666 / 0.283200 (0.133467) | 0.031874 / 0.141683 (-0.109809) | 1.818885 / 1.452155 (0.366730) | 1.904749 / 1.492716 (0.412032) |

### 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) | 0.240497 / 0.018006 (0.222491) | 0.507907 / 0.000490 (0.507417) | 0.004574 / 0.000200 (0.004374) | 0.000098 / 0.000054 (0.000044) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.033504 / 0.037411 (-0.003907) | 0.102919 / 0.014526 (0.088393) | 0.113014 / 0.176557 (-0.063543) | 0.181111 / 0.737135 (-0.556024) | 0.115047 / 0.296338 (-0.181291) |

### 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) | 0.453640 / 0.215209 (0.238431) | 4.514604 / 2.077655 (2.436949) | 2.219758 / 1.504120 (0.715638) | 2.004735 / 1.541195 (0.463541) | 2.112817 / 1.468490 (0.644327) | 0.579534 / 4.584777 (-4.005243) | 4.095994 / 3.745712 (0.350282) | 3.887204 / 5.269862 (-1.382658) | 2.461755 / 4.565676 (-2.103921) | 0.068930 / 0.424275 (-0.355345) | 0.009102 / 0.007607 (0.001495) | 0.540031 / 0.226044 (0.313987) | 5.394324 / 2.268929 (3.125396) | 2.738906 / 55.444624 (-52.705719) | 2.332041 / 6.876477 (-4.544436) | 2.600764 / 2.142072 (0.458692) | 0.697859 / 4.805227 (-4.107368) | 0.159247 / 6.500664 (-6.341417) | 0.073339 / 0.075469 (-0.002130) |

### 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) | 1.561082 / 1.841788 (-0.280706) | 23.581031 / 8.074308 (15.506723) | 17.011085 / 10.191392 (6.819693) | 0.196115 / 0.680424 (-0.484308) | 0.022050 / 0.534201 (-0.512151) | 0.470865 / 0.579283 (-0.108418) | 0.480539 / 0.434364 (0.046175) | 0.546458 / 0.540337 (0.006120) | 0.744353 / 1.386936 (-0.642583) |

</details>
PyArrow==latest

<details>
<summary>Show updated benchmarks!</summary>

### 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) | 0.007884 / 0.011353 (-0.003468) | 0.004723 / 0.011008 (-0.006286) | 0.076431 / 0.038508 (0.037923) | 0.087016 / 0.023109 (0.063907) | 0.501880 / 0.275898 (0.225982) | 0.546286 / 0.323480 (0.222806) | 0.006224 / 0.007986 (-0.001762) | 0.003858 / 0.004328 (-0.000471) | 0.076485 / 0.004250 (0.072234) | 0.066758 / 0.037052 (0.029706) | 0.510090 / 0.258489 (0.251601) | 0.553935 / 0.293841 (0.260094) | 0.037785 / 0.128546 (-0.090761) | 0.009946 / 0.075646 (-0.065700) | 0.084001 / 0.419271 (-0.335270) | 0.056732 / 0.043533 (0.013199) | 0.490724 / 0.255139 (0.235585) | 0.528367 / 0.283200 (0.245168) | 0.026082 / 0.141683 (-0.115601) | 1.769200 / 1.452155 (0.317045) | 1.847559 / 1.492716 (0.354843) |

### 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) | 0.306752 / 0.018006 (0.288745) | 0.481215 / 0.000490 (0.480725) | 0.048231 / 0.000200 (0.048031) | 0.000249 / 0.000054 (0.000194) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.039517 / 0.037411 (0.002106) | 0.112884 / 0.014526 (0.098359) | 0.123858 / 0.176557 (-0.052698) | 0.188260 / 0.737135 (-0.548875) | 0.125819 / 0.296338 (-0.170520) |

### 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) | 0.515260 / 0.215209 (0.300051) | 5.125038 / 2.077655 (3.047383) | 2.785122 / 1.504120 (1.281003) | 2.590753 / 1.541195 (1.049558) | 2.682084 / 1.468490 (1.213594) | 0.581162 / 4.584777 (-4.003615) | 4.241776 / 3.745712 (0.496063) | 3.860979 / 5.269862 (-1.408883) | 2.434203 / 4.565676 (-2.131473) | 0.068580 / 0.424275 (-0.355695) | 0.008700 / 0.007607 (0.001093) | 0.604712 / 0.226044 (0.378667) | 6.044240 / 2.268929 (3.775311) | 3.379734 / 55.444624 (-52.064890) | 2.968906 / 6.876477 (-3.907571) | 3.195775 / 2.142072 (1.053703) | 0.702431 / 4.805227 (-4.102796) | 0.158752 / 6.500664 (-6.341912) | 0.072795 / 0.075469 (-0.002674) |

### 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) | 1.616354 / 1.841788 (-0.225434) | 24.258731 / 8.074308 (16.184423) | 17.505483 / 10.191392 (7.314091) | 0.173445 / 0.680424 (-0.506979) | 0.023215 / 0.534201 (-0.510986) | 0.472975 / 0.579283 (-0.106308) | 0.478425 / 0.434364 (0.044061) | 0.566950 / 0.540337 (0.026612) | 0.767648 / 1.386936 (-0.619288) |

</details>
</details>

![](https://cml.dev/watermark.png#a1d520a5226268f2c6f0303de3e8bfd72198b082 "CML watermark")