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This repository was archived by the owner on May 7, 2026. It is now read-only.

chore: librarian release pull request: 20251210T234907Z#2324

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tswast merged 1 commit into
maingoogleapis/python-bigquery-dataframes:mainfrom
librarian-20251210T234907Zgoogleapis/python-bigquery-dataframes:librarian-20251210T234907ZCopy head branch name to clipboard
Dec 11, 2025
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chore: librarian release pull request: 20251210T234907Z#2324
tswast merged 1 commit into
maingoogleapis/python-bigquery-dataframes:mainfrom
librarian-20251210T234907Zgoogleapis/python-bigquery-dataframes:librarian-20251210T234907ZCopy head branch name to clipboard

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@TrevorBergeron

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PR created by the Librarian CLI to initialize a release. Merging this PR will auto trigger a release.

Librarian Version: v0.7.0
Language Image: us-central1-docker.pkg.dev/cloud-sdk-librarian-prod/images-prod/python-librarian-generator@sha256:c8612d3fffb3f6a32353b2d1abd16b61e87811866f7ec9d65b59b02eb452a620

bigframes: 2.31.0

2.31.0 (2025-12-10)

Features

Bug Fixes

Reverts

@TrevorBergeron TrevorBergeron requested review from a team and chelsea-lin December 10, 2025 23:49
@product-auto-label product-auto-label Bot added size: s Pull request size is small. api: bigquery Issues related to the googleapis/python-bigquery-dataframes API. labels Dec 10, 2025
@tswast

tswast commented Dec 11, 2025

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e2e failures are the llm timeouts plus one new one

____________ ERROR at setup of test_linear_reg_model_global_explain ____________
[gw5] linux -- Python 3.12.7 /tmpfs/src/github/python-bigquery-dataframes/.nox/e2e/bin/python
file /tmpfs/src/github/python-bigquery-dataframes/tests/system/large/ml/test_linear_model.py, line 457
  def test_linear_reg_model_global_explain(
E       fixture 'penguins_linear_model_w_global_explain' not found
>       available fixtures: audio_gcs_path, audio_mm_df, baseball_schedules_df, bigquery_client, bigquery_client_tokyo, bigqueryconnection_client, bq_connection, bq_connection_name, cache, capfd, capfdbinary, caplog, capsys, capsysbinary, capteesys, cleanup_cloud_functions, cleanup_datasets, cloudfunctions_client, cov, dataset_id, dataset_id_not_created, dataset_id_permanent, dataset_id_permanent_tokyo, default_doctest_imports, doctest_namespace, floats_bf, floats_pd, floats_product_bf, floats_product_pd, gcs_client, gcs_folder, hockey_df, hockey_pandas_df, hockey_table_id, images_gcs_path, images_mm_df, images_uris, json_df, json_pandas_df, json_table_id, llm_fine_tune_df_default_index, llm_text_df, llm_text_pandas_df, matrix_2by3_df, matrix_2by3_pandas_df, matrix_2by3_table_id, matrix_3by4_df, matrix_3by4_pandas_df, matrix_3by4_table_id, maybe_ordered_session, missing_values_penguins_df, monkeypatch, nested_df, nested_pandas_df, nested_structs_df, nested_structs_pandas_df, nested_structs_pandas_type, nested_structs_table_id, nested_table_id, new_penguins_df, new_penguins_pandas_df, new_time_series_df, new_time_series_df_w_id, new_time_series_pandas_df, new_time_series_pandas_df_w_id, no_cover, pdf_gcs_path, pdf_mm_df, penguins_df_default_index, penguins_df_null_index, penguins_kmeans_model_name, penguins_linear_model_name, penguins_logistic_model_name, penguins_pandas_df_default_index, penguins_pca_model_name, penguins_randomforest_classifier_model_name, penguins_randomforest_regressor_model_name, penguins_table_id, penguins_xgbclassifier_model_name, penguins_xgbregressor_model_name, polars_session_or_bpd, project_id, pytestconfig, ratings_df_default_index, ratings_table_id, record_property, record_testsuite_property, record_xml_attribute, recwarn, repeated_df, repeated_pandas_df, repeated_table_id, reset_default_session_and_location, resourcemanager_client, restore_sampling_settings, routine_id_unique, scalars_df_2_default_index, scalars_df_2_index, scalars_df_default_index, scalars_df_index, scalars_df_null_index, scalars_df_numeric_150_columns_maybe_ordered, scalars_df_partial_ordering, scalars_df_unordered, scalars_dfs, scalars_dfs_maybe_ordered, scalars_pandas_df_default_index, scalars_pandas_df_index, scalars_pandas_df_multi_index, scalars_schema, scalars_table_id, scalars_table_id_2, scalars_table_tokyo, session, session_load, session_tokyo, snapshot, table_id_not_created, table_id_unique, test_data_tables, test_data_tables_tokyo, test_session, testrun_uid, time_series_arima_plus_model_name, time_series_arima_plus_model_name_w_id, time_series_df_default_index, time_series_table_id, tmp_path, tmp_path_factory, tmpdir, tmpdir_factory, tokyo_location, unordered_session, urban_areas_table_id, usa_names_grouped_table, use_fast_query_path, weird_strings, weird_strings_pd, with_multiquery_execution, worker_id
>       use 'pytest --fixtures [testpath]' for help on them.

Nothing here looks loke worth blocking the release.

Likewise, doctest failures look like a problem with the local engine / samples that should be using the bq engine.

_________ [doctest] indexes.accessor.DatetimeProperties.total_seconds __________
[gw1] linux -- Python 3.12.7 /tmpfs/src/github/python-bigquery-dataframes/.nox/doctest/bin/python
467 Return total duration of each element expressed in seconds.
468 
469         **Examples:**
470 
471             >>> s = bpd.Series([pd.Timedelta("1d1m1s1us")])
472             >>> s
473             0    1 days 00:01:01.000001
474             dtype: duration[us][pyarrow]
475             >>> s.dt.total_seconds()
UNEXPECTED EXCEPTION: TypeError("cannot parse input <class 'pandas._libs.tslibs.timedeltas.Timedelta'> into Polars data type")

@tswast tswast enabled auto-merge (squash) December 11, 2025 15:17
@tswast tswast merged commit fd5eae0 into main Dec 11, 2025
23 of 25 checks passed
@tswast tswast deleted the librarian-20251210T234907Z branch December 11, 2025 15:17
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