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Clean up lake.py, simplification, use prefetched metadata when possible
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#58:
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Support scan_iceberg and scan_delta in cudf-polars
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Expose Parquet schema field IDs in pylibcudf FileMetaData
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Adjust cudf.pandas pandas test failures for 3.0.6
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Add decimal testing, remove some redundant streaming test_scan tests
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Remove xpassing Polars tests
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Remove xpassing Polars tests, add test coverage
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Create and use Scan.slice_hive_parts instead
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Merge remote-tracking branch 'upstream/main' into benchmarks/duckdb-r…
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Allow DuckDB to read tables from S3 in cudf_polars benchmark runner
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Remove rapidsai channel for xgboost 3rd party pandas tests
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Remove strict=False for test_non_coalesce_join
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