LucasG0 commented on issue #37194:
URL: https://github.com/apache/arrow/issues/37194#issuecomment-1869644463
I could not reproduce with the following code:
```python
import time
import pyarrow as pa
start = time.time()
v = ['foo', None] * 100_000_000
s = pa.scalar(v, type=pa.list_(pa.string()))
after_creation = time.time()
print(f"Time to create ListScalar object: {after_creation - start}")
_ = len(s)
after_len_call = time.time()
print(f"Time to len: {after_len_call - after_creation}")
_ = pa.compute.list_value_length(s)
print(f"Time to list_value_length: {time.time() - after_len_call}")
```
Outputs:
```
Time to create: 4.116701126098633
Time to len: 6.651878356933594e-05
Time to list_value_length: 0.0003292560577392578
```
Time spent in `len` call looks negligible here, are there some specific
requirements needed to reproduce the issue?
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