Fix `FixedSizeListArray` casting
<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) | 0.006213 / 0.011353 (-0.005140) | 0.004230 / 0.011008 (-0.006778) | 0.098014 / 0.038508 (0.059506) | 0.028659 / 0.023109 (0.005550) | 0.303272 / 0.275898 (0.027374) | 0.337186 / 0.323480 (0.013706) | 0.005126 / 0.007986 (-0.002860) | 0.003563 / 0.004328 (-0.000765) | 0.075295 / 0.004250 (0.071045) | 0.036836 / 0.037052 (-0.000216) | 0.309612 / 0.258489 (0.051123) | 0.346484 / 0.293841 (0.052643) | 0.025714 / 0.128546 (-0.102832) | 0.008562 / 0.075646 (-0.067085) | 0.323475 / 0.419271 (-0.095796) | 0.044072 / 0.043533 (0.000539) | 0.308261 / 0.255139 (0.053122) | 0.330903 / 0.283200 (0.047703) | 0.091805 / 0.141683 (-0.049878) | 1.517011 / 1.452155 (0.064856) | 1.570815 / 1.492716 (0.078099) |

### 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) | 0.211265 / 0.018006 (0.193259) | 0.438860 / 0.000490 (0.438370) | 0.001127 / 0.000200 (0.000927) | 0.000069 / 0.000054 (0.000015) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.023337 / 0.037411 (-0.014074) | 0.096243 / 0.014526 (0.081717) | 0.103529 / 0.176557 (-0.073028) | 0.161171 / 0.737135 (-0.575964) | 0.105904 / 0.296338 (-0.190435) |

### 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) | 0.417042 / 0.215209 (0.201833) | 4.155067 / 2.077655 (2.077412) | 1.879657 / 1.504120 (0.375537) | 1.669341 / 1.541195 (0.128146) | 1.717623 / 1.468490 (0.249133) | 0.556246 / 4.584777 (-4.028531) | 3.484535 / 3.745712 (-0.261177) | 1.728845 / 5.269862 (-3.541017) | 0.997477 / 4.565676 (-3.568199) | 0.068355 / 0.424275 (-0.355920) | 0.012445 / 0.007607 (0.004837) | 0.519023 / 0.226044 (0.292978) | 5.173506 / 2.268929 (2.904577) | 2.332435 / 55.444624 (-53.112190) | 1.986348 / 6.876477 (-4.890129) | 2.076885 / 2.142072 (-0.065187) | 0.656738 / 4.805227 (-4.148489) | 0.135308 / 6.500664 (-6.365356) | 0.065486 / 0.075469 (-0.009984) |

### 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) | 1.208874 / 1.841788 (-0.632914) | 13.994200 / 8.074308 (5.919892) | 14.160978 / 10.191392 (3.969586) | 0.146009 / 0.680424 (-0.534415) | 0.016573 / 0.534201 (-0.517628) | 0.356082 / 0.579283 (-0.223202) | 0.387766 / 0.434364 (-0.046598) | 0.419130 / 0.540337 (-0.121208) | 0.508634 / 1.386936 (-0.878302) |

</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) | 0.006238 / 0.011353 (-0.005115) | 0.004221 / 0.011008 (-0.006788) | 0.075155 / 0.038508 (0.036646) | 0.028491 / 0.023109 (0.005382) | 0.355606 / 0.275898 (0.079708) | 0.388986 / 0.323480 (0.065506) | 0.005941 / 0.007986 (-0.002044) | 0.003510 / 0.004328 (-0.000819) | 0.074905 / 0.004250 (0.070655) | 0.039111 / 0.037052 (0.002059) | 0.358492 / 0.258489 (0.100003) | 0.398763 / 0.293841 (0.104922) | 0.025535 / 0.128546 (-0.103012) | 0.008580 / 0.075646 (-0.067067) | 0.080461 / 0.419271 (-0.338811) | 0.041381 / 0.043533 (-0.002152) | 0.355498 / 0.255139 (0.100359) | 0.379163 / 0.283200 (0.095963) | 0.096450 / 0.141683 (-0.045233) | 1.503248 / 1.452155 (0.051093) | 1.595616 / 1.492716 (0.102900) |

### 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) | 0.238065 / 0.018006 (0.220058) | 0.422800 / 0.000490 (0.422311) | 0.002274 / 0.000200 (0.002074) | 0.000074 / 0.000054 (0.000020) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.025746 / 0.037411 (-0.011665) | 0.103319 / 0.014526 (0.088793) | 0.112155 / 0.176557 (-0.064401) | 0.163034 / 0.737135 (-0.574101) | 0.113377 / 0.296338 (-0.182962) |

### 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) | 0.440522 / 0.215209 (0.225313) | 4.398123 / 2.077655 (2.320468) | 2.143538 / 1.504120 (0.639418) | 1.946084 / 1.541195 (0.404890) | 1.996556 / 1.468490 (0.528066) | 0.550108 / 4.584777 (-4.034669) | 3.455774 / 3.745712 (-0.289938) | 2.862474 / 5.269862 (-2.407387) | 1.213446 / 4.565676 (-3.352230) | 0.067987 / 0.424275 (-0.356288) | 0.012413 / 0.007607 (0.004806) | 0.543990 / 0.226044 (0.317945) | 5.454807 / 2.268929 (3.185879) | 2.669195 / 55.444624 (-52.775429) | 2.332948 / 6.876477 (-4.543528) | 2.383870 / 2.142072 (0.241797) | 0.652017 / 4.805227 (-4.153210) | 0.135508 / 6.500664 (-6.365156) | 0.068238 / 0.075469 (-0.007231) |

### 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) | 1.322669 / 1.841788 (-0.519118) | 14.368136 / 8.074308 (6.293828) | 14.167431 / 10.191392 (3.976039) | 0.159371 / 0.680424 (-0.521052) | 0.016638 / 0.534201 (-0.517563) | 0.357106 / 0.579283 (-0.222177) | 0.392491 / 0.434364 (-0.041873) | 0.419458 / 0.540337 (-0.120880) | 0.504662 / 1.386936 (-0.882274) |

</details>
</details>

![](https://cml.dev/watermark.png#bf764819ba6754cb7edf15899db517be0548676f "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) | 0.006296 / 0.011353 (-0.005057) | 0.004185 / 0.011008 (-0.006823) | 0.096170 / 0.038508 (0.057662) | 0.029212 / 0.023109 (0.006102) | 0.315356 / 0.275898 (0.039458) | 0.335214 / 0.323480 (0.011734) | 0.005108 / 0.007986 (-0.002877) | 0.003634 / 0.004328 (-0.000694) | 0.074186 / 0.004250 (0.069936) | 0.038716 / 0.037052 (0.001663) | 0.311041 / 0.258489 (0.052551) | 0.341202 / 0.293841 (0.047361) | 0.025584 / 0.128546 (-0.102962) | 0.008499 / 0.075646 (-0.067148) | 0.318660 / 0.419271 (-0.100611) | 0.043745 / 0.043533 (0.000212) | 0.314824 / 0.255139 (0.059685) | 0.328117 / 0.283200 (0.044917) | 0.093425 / 0.141683 (-0.048258) | 1.478732 / 1.452155 (0.026578) | 1.531743 / 1.492716 (0.039027) |

### 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) | 0.203484 / 0.018006 (0.185478) | 0.416131 / 0.000490 (0.415641) | 0.007352 / 0.000200 (0.007152) | 0.000211 / 0.000054 (0.000156) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.022908 / 0.037411 (-0.014503) | 0.098641 / 0.014526 (0.084115) | 0.103426 / 0.176557 (-0.073131) | 0.161658 / 0.737135 (-0.575477) | 0.106506 / 0.296338 (-0.189832) |

### 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) | 0.430781 / 0.215209 (0.215572) | 4.315677 / 2.077655 (2.238022) | 2.022302 / 1.504120 (0.518182) | 1.832043 / 1.541195 (0.290849) | 1.789302 / 1.468490 (0.320812) | 0.560484 / 4.584777 (-4.024293) | 3.448204 / 3.745712 (-0.297508) | 1.725016 / 5.269862 (-3.544846) | 1.002649 / 4.565676 (-3.563027) | 0.068480 / 0.424275 (-0.355795) | 0.012617 / 0.007607 (0.005010) | 0.532291 / 0.226044 (0.306246) | 5.319352 / 2.268929 (3.050423) | 2.520730 / 55.444624 (-52.923894) | 2.213881 / 6.876477 (-4.662596) | 2.352477 / 2.142072 (0.210404) | 0.662516 / 4.805227 (-4.142711) | 0.136481 / 6.500664 (-6.364183) | 0.066597 / 0.075469 (-0.008872) |

### 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) | 1.224537 / 1.841788 (-0.617251) | 13.849920 / 8.074308 (5.775612) | 14.026358 / 10.191392 (3.834966) | 0.131018 / 0.680424 (-0.549405) | 0.016756 / 0.534201 (-0.517445) | 0.358091 / 0.579283 (-0.221192) | 0.397709 / 0.434364 (-0.036655) | 0.450024 / 0.540337 (-0.090314) | 0.542609 / 1.386936 (-0.844327) |

</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) | 0.006179 / 0.011353 (-0.005174) | 0.004145 / 0.011008 (-0.006863) | 0.077482 / 0.038508 (0.038974) | 0.028005 / 0.023109 (0.004896) | 0.400010 / 0.275898 (0.124112) | 0.408206 / 0.323480 (0.084726) | 0.005049 / 0.007986 (-0.002937) | 0.003608 / 0.004328 (-0.000721) | 0.076841 / 0.004250 (0.072590) | 0.036714 / 0.037052 (-0.000338) | 0.406020 / 0.258489 (0.147531) | 0.412392 / 0.293841 (0.118551) | 0.025626 / 0.128546 (-0.102920) | 0.008560 / 0.075646 (-0.067087) | 0.084088 / 0.419271 (-0.335183) | 0.039707 / 0.043533 (-0.003826) | 0.396909 / 0.255139 (0.141770) | 0.403623 / 0.283200 (0.120424) | 0.095137 / 0.141683 (-0.046546) | 1.515670 / 1.452155 (0.063515) | 1.568379 / 1.492716 (0.075662) |

### 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) | 0.181802 / 0.018006 (0.163795) | 0.408778 / 0.000490 (0.408289) | 0.000393 / 0.000200 (0.000193) | 0.000060 / 0.000054 (0.000006) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.025940 / 0.037411 (-0.011471) | 0.099992 / 0.014526 (0.085466) | 0.106280 / 0.176557 (-0.070276) | 0.161729 / 0.737135 (-0.575406) | 0.108625 / 0.296338 (-0.187713) |

### 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) | 0.459802 / 0.215209 (0.244593) | 4.603002 / 2.077655 (2.525347) | 2.406851 / 1.504120 (0.902732) | 2.265422 / 1.541195 (0.724227) | 2.306305 / 1.468490 (0.837815) | 0.553903 / 4.584777 (-4.030874) | 3.482052 / 3.745712 (-0.263660) | 2.969855 / 5.269862 (-2.300007) | 1.309285 / 4.565676 (-3.256391) | 0.068130 / 0.424275 (-0.356145) | 0.012189 / 0.007607 (0.004582) | 0.571299 / 0.226044 (0.345254) | 5.711420 / 2.268929 (3.442492) | 2.716748 / 55.444624 (-52.727876) | 2.369869 / 6.876477 (-4.506608) | 2.544240 / 2.142072 (0.402167) | 0.659955 / 4.805227 (-4.145272) | 0.136684 / 6.500664 (-6.363980) | 0.068962 / 0.075469 (-0.006507) |

### 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) | 1.297659 / 1.841788 (-0.544129) | 14.012758 / 8.074308 (5.938449) | 14.324644 / 10.191392 (4.133252) | 0.144894 / 0.680424 (-0.535530) | 0.016751 / 0.534201 (-0.517450) | 0.361547 / 0.579283 (-0.217736) | 0.396595 / 0.434364 (-0.037769) | 0.422375 / 0.540337 (-0.117962) | 0.508209 / 1.386936 (-0.878727) |

</details>
</details>

![](https://cml.dev/watermark.png#ba5f81357b53099b1bedfbb277211dba3952257b "CML watermark")
 _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) | 0.006303 / 0.011353 (-0.005050) | 0.004043 / 0.011008 (-0.006965) | 0.096239 / 0.038508 (0.057731) | 0.029608 / 0.023109 (0.006498) | 0.321058 / 0.275898 (0.045160) | 0.367066 / 0.323480 (0.043587) | 0.005236 / 0.007986 (-0.002749) | 0.003342 / 0.004328 (-0.000987) | 0.074407 / 0.004250 (0.070157) | 0.038810 / 0.037052 (0.001757) | 0.332597 / 0.258489 (0.074108) | 0.363562 / 0.293841 (0.069721) | 0.025460 / 0.128546 (-0.103086) | 0.008426 / 0.075646 (-0.067221) | 0.316998 / 0.419271 (-0.102273) | 0.043621 / 0.043533 (0.000088) | 0.338043 / 0.255139 (0.082904) | 0.366441 / 0.283200 (0.083241) | 0.092061 / 0.141683 (-0.049622) | 1.461531 / 1.452155 (0.009376) | 1.538047 / 1.492716 (0.045331) |

### 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) | 0.206796 / 0.018006 (0.188790) | 0.517959 / 0.000490 (0.517469) | 0.002745 / 0.000200 (0.002545) | 0.000070 / 0.000054 (0.000015) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.022902 / 0.037411 (-0.014510) | 0.097901 / 0.014526 (0.083375) | 0.103664 / 0.176557 (-0.072893) | 0.163516 / 0.737135 (-0.573619) | 0.108561 / 0.296338 (-0.187778) |

### 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) | 0.418964 / 0.215209 (0.203755) | 4.159113 / 2.077655 (2.081458) | 1.843946 / 1.504120 (0.339827) | 1.641083 / 1.541195 (0.099888) | 1.686848 / 1.468490 (0.218358) | 0.554583 / 4.584777 (-4.030194) | 3.409862 / 3.745712 (-0.335850) | 2.647904 / 5.269862 (-2.621958) | 1.355424 / 4.565676 (-3.210253) | 0.068229 / 0.424275 (-0.356046) | 0.012217 / 0.007607 (0.004610) | 0.515895 / 0.226044 (0.289851) | 5.144920 / 2.268929 (2.875991) | 2.298046 / 55.444624 (-53.146579) | 1.964735 / 6.876477 (-4.911741) | 2.075580 / 2.142072 (-0.066492) | 0.657104 / 4.805227 (-4.148123) | 0.134759 / 6.500664 (-6.365905) | 0.067545 / 0.075469 (-0.007924) |

### 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) | 1.233075 / 1.841788 (-0.608713) | 13.896762 / 8.074308 (5.822454) | 14.055143 / 10.191392 (3.863751) | 0.145507 / 0.680424 (-0.534917) | 0.016702 / 0.534201 (-0.517499) | 0.365157 / 0.579283 (-0.214126) | 0.385842 / 0.434364 (-0.048522) | 0.459993 / 0.540337 (-0.080344) | 0.547115 / 1.386936 (-0.839821) |

</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) | 0.006174 / 0.011353 (-0.005179) | 0.004191 / 0.011008 (-0.006817) | 0.078311 / 0.038508 (0.039803) | 0.028038 / 0.023109 (0.004928) | 0.360056 / 0.275898 (0.084158) | 0.398081 / 0.323480 (0.074602) | 0.005069 / 0.007986 (-0.002916) | 0.003464 / 0.004328 (-0.000864) | 0.077858 / 0.004250 (0.073608) | 0.039420 / 0.037052 (0.002367) | 0.361743 / 0.258489 (0.103254) | 0.404829 / 0.293841 (0.110988) | 0.025604 / 0.128546 (-0.102943) | 0.008573 / 0.075646 (-0.067074) | 0.084944 / 0.419271 (-0.334328) | 0.042652 / 0.043533 (-0.000881) | 0.368549 / 0.255139 (0.113410) | 0.385682 / 0.283200 (0.102482) | 0.099085 / 0.141683 (-0.042598) | 1.495815 / 1.452155 (0.043661) | 1.548168 / 1.492716 (0.055452) |

### 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) | 0.193737 / 0.018006 (0.175730) | 0.421871 / 0.000490 (0.421381) | 0.002306 / 0.000200 (0.002106) | 0.000073 / 0.000054 (0.000018) |

### Benchmark: benchmark_indices_mapping.json

| metric | select | shard | shuffle | sort | train_test_split |
|--------|---|---|---|---|---|
| new / old (diff) | 0.025928 / 0.037411 (-0.011483) | 0.103410 / 0.014526 (0.088885) | 0.107931 / 0.176557 (-0.068626) | 0.157127 / 0.737135 (-0.580008) | 0.111892 / 0.296338 (-0.184446) |

### 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) | 0.477562 / 0.215209 (0.262353) | 4.772711 / 2.077655 (2.695056) | 2.458725 / 1.504120 (0.954605) | 2.269871 / 1.541195 (0.728676) | 2.365502 / 1.468490 (0.897012) | 0.556182 / 4.584777 (-4.028595) | 3.408016 / 3.745712 (-0.337697) | 1.730639 / 5.269862 (-3.539222) | 1.000973 / 4.565676 (-3.564704) | 0.068293 / 0.424275 (-0.355982) | 0.012119 / 0.007607 (0.004512) | 0.581281 / 0.226044 (0.355236) | 5.811930 / 2.268929 (3.543001) | 2.890337 / 55.444624 (-52.554288) | 2.592156 / 6.876477 (-4.284321) | 2.687764 / 2.142072 (0.545691) | 0.664282 / 4.805227 (-4.140946) | 0.136029 / 6.500664 (-6.364635) | 0.067493 / 0.075469 (-0.007976) |

### 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) | 1.330723 / 1.841788 (-0.511064) | 14.379172 / 8.074308 (6.304864) | 14.153286 / 10.191392 (3.961894) | 0.142942 / 0.680424 (-0.537482) | 0.016698 / 0.534201 (-0.517503) | 0.361044 / 0.579283 (-0.218239) | 0.393174 / 0.434364 (-0.041190) | 0.423107 / 0.540337 (-0.117231) | 0.514299 / 1.386936 (-0.872637) |

</details>
</details>

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Fix cast on sliced `FixedSizeListArray`s.

Fix #5866