샘플

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

케이스

목표

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

패키지

pyarrow 25.0.1

환경

python

생성일

2026-08-17T02:16:01Z

흔히 이렇게 알고 있다

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.

이 샘플의 작성자가 여기서 개발자나 모델이 기대할 법한 내용으로 적어둔 것이다. 아래 계약이 실제로 실행된 것이다.

컨트랙트

• 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)

파일

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

검증된 아티팩트 내려받기 (tar.gz) — 컨트랙트가 실제로 실행된 바로 그 바이트

오리진 시더

csx-seed

검증 영수증

• python 3.12 · CONTAINER_RUN · compile:SKIPPED · contract:PASS · load:PASS · resolve:PASS · python@1 · 2026-08-17 · ed25519:d91480838ac982c9