[
https://issues.apache.org/jira/browse/ARROW-10494?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Artem KOZHEVNIKOV updated ARROW-10494:
--------------------------------------
Summary: .take silently overflow on list array (when casting to large_list
is needed) (was: list_array.take silently overflow on list array (when casting
to large_list is needed))
> .take silently overflow on list array (when casting to large_list is needed)
> ----------------------------------------------------------------------------
>
> Key: ARROW-10494
> URL: https://issues.apache.org/jira/browse/ARROW-10494
> Project: Apache Arrow
> Issue Type: Bug
> Components: Python
> Affects Versions: 2.0.0
> Reporter: Artem KOZHEVNIKOV
> Priority: Major
>
> reproducer below
> {code:python}
> import numpy as np
> import pyarrow as pa
> arr = pa.array([np.arange(x).astype(np.int8) for x in range(6)])
> nb_repeat = 2**32 // arr.offsets.to_numpy()[-1]
> indices = pa.array(np.repeat(np.arange(len(arr)), nb_repeat))
> big_arr = arr.take(indices)
> print(big_arr.offsets[-5:])
> big_arr.validate() # hopefully this can catch it
> [
> -21,
> -16,
> -11,
> -6,
> -1
> ]
> ---------------------------------------------------------------------------
> ArrowInvalid Traceback (most recent call last)
> <ipython-input-1-09503f9cbb04> in <module>
> 6 big_arr = arr.take(indices)
> 7 print(big_arr.offsets[-5:])
> ----> 8 big_arr.validate()
> /opt/conda/envs/model/lib/python3.7/site-packages/pyarrow/array.pxi in
> pyarrow.lib.Array.validate()
> /opt/conda/envs/model/lib/python3.7/site-packages/pyarrow/error.pxi in
> pyarrow.lib.check_status()
> ArrowInvalid: Negative offsets in list array
> {code}
> and it works fine with large_array (as expected) :
> {code:python}
> import numpy as np
> import pyarrow as pa
> arr = pa.array([np.arange(x).astype(np.int8) for x in range(6)],
> type=pa.large_list(pa.int8()))
> nb_repeat = 2**32 // arr.offsets.to_numpy()[-1]
> indices = pa.array(np.repeat(np.arange(len(arr)), nb_repeat))
> big_arr = arr.take(indices)
> print(big_arr.offsets[-5:])
> big_arr.validate()
> [
> 4294967275,
> 4294967280,
> 4294967285,
> 4294967290,
> 4294967295
> ]
> {code}
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