feat(bigframes): Add ai_generate functions to the dataframe bq accessor#17302
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This pull request introduces AI generation accessor methods (generate, generate_bool, generate_int, and generate_double) to the AbstractBigQueryDataFrameAccessor class, along with corresponding unit tests. The feedback highlights a critical issue in several of the new unit tests where a mocked bpd.DataFrame is used, causing the tests to pass silently without actually executing the accessor code. It is recommended to use a real bpd.DataFrame fixture, such as scalar_types_df, to ensure the accessor implementations are properly exercised and verified.
TrevorBergeron
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May 29, 2026
sycai
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Jun 9, 2026
PR created by the Librarian CLI to initialize a release. Merging this PR will auto trigger a release. Librarian Version: v0.16.0 Language Image: us-central1-docker.pkg.dev/cloud-sdk-librarian-prod/images-prod/python-librarian-generator@sha256:234b9d1f2ddb057ed7ac6a38db0bf8163d839c65c6cf88ade52530cddebce59e <details><summary>bigframes: v2.42.0</summary> ## [v2.42.0](bigframes-v2.41.0...bigframes-v2.42.0) (2026-06-08) ### Features * Add ai_generate functions to the dataframe bq accessor (#17302) ([6b62cb6](6b62cb6f)) * support automatic per-cell execution history filtering and isolated callbacks (#17144) ([7d44011](7d440111)) * create `Series.bigquery.function_name` accessors for array and AEAD functions (#17279) ([d01a4ba](d01a4ba3)) ### Bug Fixes * include pyopenssl as a dependency (#17362) ([1f6205e](1f6205ee)) * Fix IsInOp literal bug with sqlglot (#17356) ([a3d93af](a3d93afe)) * nameless column to_frame bug for pandas 3.0 (#17371) ([b23bfa4](b23bfa4c)) </details>
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internal issue: b/517233441