Title: fix tqdm lock
Author: lhoestq (MEMBER)
State: closed
Created: 2023-07-25T09:32:16Z

close https://github.com/huggingface/datasets/issues/6066

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) | 0.006578 / 0.011353 (-0.004775) | 0.003953 / 0.011008 (-0.007055) | 0.084417 / 0.038508 (0.045908) | 0.076729 / 0.023109 (0.053620) | 0.315369 / 0.275898 (0.039471) | 0.347012 / 0.323480 (0.023533) | 0.005299 / 0.007986 (-0.002686) | 0.003321 / 0.004328 (-0.001007) | 0.063954 / 0.004250 (0.059704) | 0.055810 / 0.037052 (0.018758) | 0.317651 / 0.258489 (0.059162) | 0.352603 / 0.293841 (0.058762) | 0.031355 / 0.128546 (-0.097192) | 0.008493 / 0.075646 (-0.067153) | 0.287295 / 0.419271 (-0.131977) | 0.052716 / 0.043533 (0.009183) | 0.316410 / 0.255139 (0.061271) | 0.328893 / 0.283200 (0.045693) | 0.024005 / 0.141683 (-0.117678) | 1.520333 / 1.452155 (0.068178) | 1.601268 / 1.492716 (0.108552) |

### 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) | 0.205144 / 0.018006 (0.187138) | 0.459160 / 0.000490 (0.458670) | 0.000321 / 0.000200 (0.000121) | 0.000054 / 0.000054 (-0.000000) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.027503 / 0.037411 (-0.009908) | 0.081476 / 0.014526 (0.066950) | 0.096759 / 0.176557 (-0.079798) | 0.157888 / 0.737135 (-0.579247) | 0.094592 / 0.296338 (-0.201746) |

### 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) | 0.384762 / 0.215209 (0.169553) | 3.843503 / 2.077655 (1.765849) | 1.921685 / 1.504120 (0.417565) | 1.752441 / 1.541195 (0.211246) | 1.822105 / 1.468490 (0.353615) | 0.480243 / 4.584777 (-4.104534) | 3.577220 / 3.745712 (-0.168492) | 5.047560 / 5.269862 (-0.222302) | 2.988008 / 4.565676 (-1.577669) | 0.056430 / 0.424275 (-0.367845) | 0.007180 / 0.007607 (-0.000427) | 0.458113 / 0.226044 (0.232069) | 4.584096 / 2.268929 (2.315168) | 2.395307 / 55.444624 (-53.049317) | 2.080530 / 6.876477 (-4.795947) | 2.239000 / 2.142072 (0.096927) | 0.575822 / 4.805227 (-4.229405) | 0.133303 / 6.500664 (-6.367361) | 0.059449 / 0.075469 (-0.016020) |

### 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) | 1.256496 / 1.841788 (-0.585291) | 19.651614 / 8.074308 (11.577306) | 14.232480 / 10.191392 (4.041088) | 0.146461 / 0.680424 (-0.533963) | 0.018632 / 0.534201 (-0.515569) | 0.399844 / 0.579283 (-0.179439) | 0.411225 / 0.434364 (-0.023139) | 0.458203 / 0.540337 (-0.082135) | 0.669916 / 1.386936 (-0.717020) |

</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) | 0.006463 / 0.011353 (-0.004890) | 0.003898 / 0.011008 (-0.007110) | 0.064037 / 0.038508 (0.025529) | 0.071982 / 0.023109 (0.048873) | 0.361936 / 0.275898 (0.086038) | 0.393165 / 0.323480 (0.069685) | 0.005207 / 0.007986 (-0.002779) | 0.003231 / 0.004328 (-0.001098) | 0.064318 / 0.004250 (0.060068) | 0.055776 / 0.037052 (0.018724) | 0.383087 / 0.258489 (0.124598) | 0.402428 / 0.293841 (0.108587) | 0.031587 / 0.128546 (-0.096959) | 0.008527 / 0.075646 (-0.067119) | 0.070495 / 0.419271 (-0.348777) | 0.048806 / 0.043533 (0.005273) | 0.369932 / 0.255139 (0.114793) | 0.385268 / 0.283200 (0.102068) | 0.023183 / 0.141683 (-0.118500) | 1.491175 / 1.452155 (0.039020) | 1.534191 / 1.492716 (0.041475) |

### 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) | 0.224526 / 0.018006 (0.206520) | 0.445460 / 0.000490 (0.444970) | 0.003612 / 0.000200 (0.003412) | 0.000089 / 0.000054 (0.000034) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.029829 / 0.037411 (-0.007583) | 0.087951 / 0.014526 (0.073425) | 0.100069 / 0.176557 (-0.076487) | 0.154944 / 0.737135 (-0.582192) | 0.101271 / 0.296338 (-0.195067) |

### 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) | 0.412385 / 0.215209 (0.197175) | 4.108038 / 2.077655 (2.030384) | 2.163578 / 1.504120 (0.659459) | 2.031934 / 1.541195 (0.490740) | 2.155857 / 1.468490 (0.687367) | 0.481132 / 4.584777 (-4.103645) | 3.620868 / 3.745712 (-0.124844) | 5.222175 / 5.269862 (-0.047687) | 3.115637 / 4.565676 (-1.450039) | 0.056480 / 0.424275 (-0.367795) | 0.007761 / 0.007607 (0.000154) | 0.483553 / 0.226044 (0.257509) | 4.830087 / 2.268929 (2.561159) | 2.629919 / 55.444624 (-52.814705) | 2.327551 / 6.876477 (-4.548926) | 2.539934 / 2.142072 (0.397861) | 0.587963 / 4.805227 (-4.217265) | 0.131085 / 6.500664 (-6.369579) | 0.060807 / 0.075469 (-0.014662) |

### 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) | 1.350003 / 1.841788 (-0.491785) | 19.491713 / 8.074308 (11.417405) | 14.030429 / 10.191392 (3.839037) | 0.174762 / 0.680424 (-0.505662) | 0.018523 / 0.534201 (-0.515678) | 0.394946 / 0.579283 (-0.184337) | 0.407652 / 0.434364 (-0.026712) | 0.465806 / 0.540337 (-0.074531) | 0.605417 / 1.386936 (-0.781519) |

</details>
</details>

![](https://cml.dev/watermark.png#cc85979df3a39657079fdf0844c7e64547507f1a "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) | 0.006235 / 0.011353 (-0.005118) | 0.003675 / 0.011008 (-0.007333) | 0.080680 / 0.038508 (0.042171) | 0.064378 / 0.023109 (0.041268) | 0.394312 / 0.275898 (0.118414) | 0.428143 / 0.323480 (0.104663) | 0.004794 / 0.007986 (-0.003191) | 0.002899 / 0.004328 (-0.001429) | 0.062592 / 0.004250 (0.058342) | 0.050957 / 0.037052 (0.013904) | 0.396831 / 0.258489 (0.138342) | 0.438280 / 0.293841 (0.144439) | 0.027743 / 0.128546 (-0.100804) | 0.008068 / 0.075646 (-0.067578) | 0.262541 / 0.419271 (-0.156730) | 0.060837 / 0.043533 (0.017304) | 0.397941 / 0.255139 (0.142802) | 0.417012 / 0.283200 (0.133813) | 0.030153 / 0.141683 (-0.111530) | 1.477115 / 1.452155 (0.024960) | 1.516642 / 1.492716 (0.023926) |

### 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) | 0.178032 / 0.018006 (0.160026) | 0.445775 / 0.000490 (0.445286) | 0.004275 / 0.000200 (0.004075) | 0.000080 / 0.000054 (0.000026) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.025025 / 0.037411 (-0.012386) | 0.074113 / 0.014526 (0.059587) | 0.083814 / 0.176557 (-0.092743) | 0.148860 / 0.737135 (-0.588275) | 0.085408 / 0.296338 (-0.210931) |

### 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) | 0.393714 / 0.215209 (0.178505) | 3.936589 / 2.077655 (1.858934) | 1.910501 / 1.504120 (0.406381) | 1.729670 / 1.541195 (0.188475) | 1.777647 / 1.468490 (0.309156) | 0.499532 / 4.584777 (-4.085245) | 3.002385 / 3.745712 (-0.743327) | 2.906916 / 5.269862 (-2.362945) | 1.883321 / 4.565676 (-2.682356) | 0.057546 / 0.424275 (-0.366730) | 0.006492 / 0.007607 (-0.001115) | 0.463605 / 0.226044 (0.237560) | 4.620215 / 2.268929 (2.351287) | 2.399021 / 55.444624 (-53.045603) | 2.182962 / 6.876477 (-4.693514) | 2.357344 / 2.142072 (0.215272) | 0.583946 / 4.805227 (-4.221282) | 0.124644 / 6.500664 (-6.376021) | 0.060831 / 0.075469 (-0.014638) |

### 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) | 1.276412 / 1.841788 (-0.565375) | 18.462522 / 8.074308 (10.388214) | 13.877375 / 10.191392 (3.685983) | 0.150584 / 0.680424 (-0.529840) | 0.016675 / 0.534201 (-0.517526) | 0.331711 / 0.579283 (-0.247573) | 0.366659 / 0.434364 (-0.067705) | 0.396400 / 0.540337 (-0.143938) | 0.555418 / 1.386936 (-0.831518) |

</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) | 0.005995 / 0.011353 (-0.005358) | 0.003610 / 0.011008 (-0.007399) | 0.061802 / 0.038508 (0.023294) | 0.059265 / 0.023109 (0.036156) | 0.392628 / 0.275898 (0.116730) | 0.413143 / 0.323480 (0.089663) | 0.004687 / 0.007986 (-0.003299) | 0.002843 / 0.004328 (-0.001486) | 0.061932 / 0.004250 (0.057682) | 0.049466 / 0.037052 (0.012413) | 0.402718 / 0.258489 (0.144229) | 0.415039 / 0.293841 (0.121198) | 0.027352 / 0.128546 (-0.101194) | 0.007965 / 0.075646 (-0.067682) | 0.067456 / 0.419271 (-0.351815) | 0.042336 / 0.043533 (-0.001196) | 0.405543 / 0.255139 (0.150404) | 0.403209 / 0.283200 (0.120010) | 0.021459 / 0.141683 (-0.120224) | 1.442861 / 1.452155 (-0.009293) | 1.491213 / 1.492716 (-0.001503) |

### 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) | 0.248225 / 0.018006 (0.230219) | 0.434174 / 0.000490 (0.433684) | 0.001973 / 0.000200 (0.001773) | 0.000070 / 0.000054 (0.000015) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.025475 / 0.037411 (-0.011936) | 0.077865 / 0.014526 (0.063339) | 0.086980 / 0.176557 (-0.089577) | 0.143682 / 0.737135 (-0.593453) | 0.088634 / 0.296338 (-0.207705) |

### 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) | 0.417591 / 0.215209 (0.202382) | 4.168700 / 2.077655 (2.091045) | 2.335743 / 1.504120 (0.831623) | 2.208174 / 1.541195 (0.666980) | 2.256658 / 1.468490 (0.788168) | 0.503164 / 4.584777 (-4.081613) | 3.026667 / 3.745712 (-0.719045) | 4.496675 / 5.269862 (-0.773187) | 2.741049 / 4.565676 (-1.824628) | 0.057781 / 0.424275 (-0.366494) | 0.006810 / 0.007607 (-0.000797) | 0.490803 / 0.226044 (0.264759) | 4.914369 / 2.268929 (2.645441) | 2.594250 / 55.444624 (-52.850375) | 2.274552 / 6.876477 (-4.601925) | 2.397529 / 2.142072 (0.255456) | 0.593008 / 4.805227 (-4.212220) | 0.126194 / 6.500664 (-6.374470) | 0.062261 / 0.075469 (-0.013208) |

### 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) | 1.357561 / 1.841788 (-0.484227) | 18.622995 / 8.074308 (10.548687) | 14.142569 / 10.191392 (3.951177) | 0.146527 / 0.680424 (-0.533897) | 0.016863 / 0.534201 (-0.517338) | 0.336219 / 0.579283 (-0.243064) | 0.348650 / 0.434364 (-0.085714) | 0.385958 / 0.540337 (-0.154380) | 0.517958 / 1.386936 (-0.868978) |

</details>
</details>

![](https://cml.dev/watermark.png#f3da7a5a7d0d0415476ecebb0458e7c60df24445 "CML watermark")