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This PR properly exposes `TableRow` as a public API (API docs + the "Public" tag), since it's already exposed to the user in our row-based ops. In addition, the following changes are made: 1. During row-based ops, we also choose a batch format that lines up with the current dataset format in order to eliminate unnecessary copies and type conversions. 2. `TableRow` now derives from `collections.abc.Mapping`, which lets `TableRow` better interop with code expecting a mapping, and includes a few helpful mixins so we only have to implement `__getitem__`, `__iter__`, and `__len__`. |
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| .. | ||
| _examples | ||
| images | ||
| modin | ||
| .gitignore | ||
| advanced-pipelines.rst | ||
| big_data_ingestion.yaml | ||
| custom-data.rst | ||
| dask-on-ray.rst | ||
| dataset-ml-preprocessing.rst | ||
| dataset-tensor-support.rst | ||
| dataset.rst | ||
| getting-started.rst | ||
| key-concepts.rst | ||
| mars-on-ray.rst | ||
| package-ref.rst | ||
| performance-tips.rst | ||
| raydp.rst | ||
| user-guide.rst | ||