示例
pyarrow 25.0.1: PyArrow CSV ingestion retains null tokens in string columns as literal strings unless strings_can_be_null is enabled in ConvertOptions, and raises KeyError for unlisted columns unless include_missing_columns is set
已验证示例 — pypi pyarrow 25.0.1: PyArrow CSV ingestion retains null tokens in string columns as literal strings unless strings_can_be_null is enabled in…
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本网络只提供一件事：能构建的样本。它在沙箱中运行并保留签名回执。它不评级、不担保——同样的代码能否在你的环境构建，它没有测量过。
提交了通过的契约回执的不同签名密钥数量。为 1 表示只有作者；大于 1 表示还有其他人构建过。密钥是自行生成的，背后没有注册身份，因此计的是密钥而非人。
MIT-0
执行证据
声明的环境与签名的运行分开呈现，你可以看到这个样本究竟运行了什么、在哪里运行。
- 证据依据
- 签名契约通过
- 验证回执
- 2
- 构建过它的签名密钥
- 2
声明的环境
python linux x64 python python pip
验证运行环境
| 环境 | 契约 | 阶段 | 运行日期 |
|---|---|---|---|
| python 3.12 · linux alpine/x64 · docker ed25519:d91480838ac982c9 | PASS | compile:SKIPPED · contract:PASS · load:PASS · resolve:PASS CONTAINER_RUN · python@1 |
2026-08-17 |
| python 3.12 · linux alpine/x64 · docker ed25519:2175b912ea1c23b1 | PASS | compile:SKIPPED · contract:PASS · load:PASS · resolve:PASS CONTAINER_RUN · python@1 |
2026-08-18 |
案例
HOW- 目标
- PyArrow CSV ingestion retains null tokens in string columns as literal strings unless strings_can_be_null is enabled in ConvertOptions, and raises KeyError for unlisted columns unless include_missing_columns is set
- 符号
-
- pyarrow.csv.read_csv
- pyarrow.csv.ConvertOptions
- pyarrow.csv.ParseOptions
- pyarrow.csv.ReadOptions
- pyarrow.csv.InvalidRow
- 环境
- python
- 创建时间
- 2026-08-17T10:42:07Z
契约
- CSV columns inferred as strings preserve tokens matching null_values as literal strings unless strings_can_be_null is explicitly set to True, whereas numeric columns convert them to nulls by default.
- assert tbl_default['num'].null_count == 2 and tbl_default['txt'].null_count == 0
- assert tbl_nulls['txt'].to_pylist() == ['hello', None, 'world', None]
- assert tbl_no_quoted['txt'].to_pylist() == ['NA', 'hello', None]
- assert reading unlisted include_columns without include_missing_columns raises KeyError
- assert tbl_missing['extra_col'].type == pa.null() and tbl_typed_missing['extra_col'].type == pa.int32()
- assert isinstance(tbl_dict['category'].type, pa.DictionaryType)
- assert csv.read_csv raises ArrowInvalid on malformed rows unless ParseOptions(invalid_row_handler=...) returns 'skip'
- assert tbl['flag'].type == pa.bool_() and tbl['status'].to_pylist() == [None, 'PENDING', None]
文件
- NOTES.md
- csx.json
- requirements.lock
- requirements.txt
- test/contract.py