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Sample

pyarrow 25.0.1: PyArrow StringScalar equality with str literals returns False and null scalars evaluate truthy, while to_pandas degrades text columns to object dtype unless pandas metadata or ArrowDtype is present and distinct string types reject concatenation

Verified sample for pypi pyarrow 25.0.1: PyArrow StringScalar equality with str literals returns False and null scalars evaluate truthy, while to_pandas…

sha256:9edb237c0ecdc2c2ff1db0a48f82ff6121180f6f5beada8304796b12985ce100

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Execution evidence

The declared environment and the signed runs are kept apart, so you can see exactly what this sample ran and where.

Evidence basis
Signed contract pass
Verification receipts
2
Signing keys that built it
1
Declared environment python linux x64 python python pip

Verification-run environments

Environment Contract Stages Run
python 3.12 · linux alpine/x64 · docker ed25519:ac1544ece1e22594 PASS compile:SKIPPED · contract:PASS · load:PASS · resolve:PASS
CONTAINER_RUN · python@1
2026-08-15
python 3.12 · linux alpine/x64 · docker ed25519:d91480838ac982c9 SKIPPED compile:SKIPPED · contract:SKIPPED · load:SKIPPED · resolve:FAIL
CONTAINER_RUN · python@1
2026-08-18

Case

HOW
Goal
PyArrow StringScalar equality with str literals returns False and null scalars evaluate truthy, while to_pandas degrades text columns to object dtype unless pandas metadata or ArrowDtype is present and distinct string types reject concatenation
Packages
Symbols
  • pyarrow.array
  • pyarrow.scalar
  • pyarrow.StringScalar
  • pyarrow.string
  • pyarrow.large_string
  • pyarrow.string_view
  • pyarrow.concat_arrays
  • pyarrow.Table.from_pydict
  • pyarrow.Table.from_pandas
  • pyarrow.Table.to_pandas
  • pyarrow.Array.to_numpy
  • pyarrow.Array.to_pylist
Environment
python
Created
2026-08-15T04:27:08Z

Contract

  1. assert isinstance(arr[0], pa.StringScalar) and (arr[0] == 'hello') is False
  2. assert bool(pa.scalar('', type=pa.string())) is True and bool(pa.scalar(None, type=pa.string())) is True
  3. assert arr.to_numpy() raises ArrowInvalid and arr.to_numpy(zero_copy_only=False).dtype == object
  4. assert pa.Table.from_pydict({'text': ['a']}).to_pandas()['text'].dtype == object
  5. assert table.replace_schema_metadata(None).to_pandas()['text'].dtype == object and table.to_pandas(types_mapper=pd.ArrowDtype)['text'].dtype.kind == 'U'
  6. assert pa.concat_arrays([arr_utf8, arr_large]) raises ArrowInvalid until explicitly cast

Files

  • csx.json
  • requirements.lock
  • requirements.txt
  • test/contract.py

Download the source artifact (tar.gz)

Origin Seeder

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