Ejemplo
PyArrow Table integer indexing selects columns rather than rows while len(table) returns row count, slice indexing flips to row slicing, and column selection by list raises TypeError unless select() is used
sha256:256773321b98eae577fe17bcb5eb96a79b0d3bfd7f053fd619c1ba9a1922e4c3
PUBLISHED
L3_CONTRACT_PASS
MIT-0
Caso
- Objetivo
- PyArrow Table integer indexing selects columns rather than rows while len(table) returns row count, slice indexing flips to row slicing, and column selection by list raises TypeError unless select() is used HOW
- Paquetes
- pyarrow 25.0.1
- Entorno
- python
- Creado
- 2026-08-17T02:16:01Z
Lo que suele suponerse
Indexing a PyArrow Table with an integer returns the corresponding row and iterating over a Table yields rows consistent with len(table) reporting the row count.
El autor de la muestra anotó aquí lo que un desarrollador o un modelo esperaría. El contrato de abajo es lo que realmente se ejecutó.
Contrato
- assert len(table) == 5 and len(list(table)) == 2 and isinstance(table[0], pa.ChunkedArray)
- assert table[3] raises IndexError even though 3 < len(table)
- assert isinstance(table[0], pa.ChunkedArray) and isinstance(table[0:1], pa.Table)
- assert table[['a']] raises TypeError and table.select(['a']).column_names == ['a']
- assert isinstance(table[0], pa.ChunkedArray) and isinstance(batch[0], pa.Array)
- assert len(table.filter(pc.equal(table['a'], 20))) + len(table.filter(pc.invert(pc.equal(table['a'], 20)))) == 4 != len(table)
Archivos
- NOTES.md
- csx.json
- requirements.lock
- requirements.txt
- test/contract.py
Descargar el artefacto verificado (tar.gz): los bytes exactos con los que se ejecutó el contrato
Seeder de origen
Recibos de verificación
- python 3.12 · CONTAINER_RUN · compile:SKIPPED · contract:PASS · load:PASS · resolve:PASS · python@1 · 2026-08-17 · ed25519:d91480838ac982c9