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feat: add support for Python 3.14 (#2232) · google/bigframes@c25a6d0 · GitHub

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feat: add support for Python 3.14 (#2232)
Co-authored-by: Lingqing Gan <lingqing.gan@gmail.com> Co-authored-by: Shuowei Li <shuowei@google.com> Co-authored-by: Tim Swena <swast@google.com> Co-authored-by: Trevor Bergeron <tbergeron@google.com>
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‎.github/workflows/lint.yml‎

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- name: Setup Python
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uses: actions/setup-python@v5
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with:
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python-version: "3.10"
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python-version: "3.14"
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- name: Install nox
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run: |
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python -m pip install --upgrade setuptools pip wheel

‎.github/workflows/unittest.yml‎

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runs-on: ubuntu-22.04
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strategy:
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matrix:
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python: ['3.10', '3.11', '3.12', '3.13']
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python: ['3.10', '3.11', '3.12', '3.13', '3.14']
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steps:
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- name: Checkout
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uses: actions/checkout@v4
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- name: Setup Python
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uses: actions/setup-python@v5
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with:
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python-version: "3.10"
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python-version: "3.14"
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- name: Install coverage
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run: |
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python -m pip install --upgrade setuptools pip wheel

‎.pre-commit-config.yaml‎

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- id: isort
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name: isort (python)
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- repo: https://github.com/psf/black
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rev: 22.3.0
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rev: 23.7.0
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hooks:
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- id: black
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- repo: https://github.com/pycqa/flake8

‎CONTRIBUTING.rst‎

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documentation.
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- The feature must work fully on the following CPython versions:
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3.10, 3.11, 3.12 and 3.13 on both UNIX and Windows.
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3.10, 3.11, 3.12, 3.13 and 3.14 on both UNIX and Windows.
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- The feature must not add unnecessary dependencies (where
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"unnecessary" is of course subjective, but new dependencies should
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- To run a single unit test::
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$ nox -s unit-3.13 -- -k <name of test>
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$ nox -s unit-3.14 -- -k <name of test>
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.. note::
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$ nox -s system
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# Run a single system test
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$ nox -s system-3.13 -- -k <name of test>
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$ nox -s system-3.14 -- -k <name of test>
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.. note::
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System tests are only configured to run under Python 3.10, 3.11, 3.12 and 3.13.
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System tests are only configured to run under Python 3.10, 3.12 and 3.14.
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For expediency, we do not run them in older versions of Python 3.
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This alone will not run the tests. You'll need to change some local
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- `Python 3.11`_
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- `Python 3.12`_
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- `Python 3.13`_
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- `Python 3.14`_
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.. _Python 3.10: https://docs.python.org/3.10/
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.. _Python 3.11: https://docs.python.org/3.11/
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.. _Python 3.12: https://docs.python.org/3.12/
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.. _Python 3.13: https://docs.python.org/3.13/
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.. _Python 3.14: https://docs.python.org/3.14/
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Supported versions can be found in our ``noxfile.py`` `config`_.

‎GEMINI.md‎

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- To run a single unit test:
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```bash
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nox -r -s unit-3.13 -- -k <name of test>
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nox -r -s unit-3.14 -- -k <name of test>
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```
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- Ignore this step if you lack access to Google Cloud resources. To run system
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$ nox -r -s system
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# Run a single system test
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$ nox -r -s system-3.13 -- -k <name of test>
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$ nox -r -s system-3.14 -- -k <name of test>
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- The codebase must have better coverage than it had previously after each
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change. You can test coverage via `nox -s unit system cover` (takes a long

‎bigframes/_config/auth.py‎

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_cached_project_default: Optional[str] = None
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def get_default_credentials_with_project() -> tuple[
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google.auth.credentials.Credentials, Optional[str]
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]:
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def get_default_credentials_with_project() -> (
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tuple[google.auth.credentials.Credentials, Optional[str]]
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):
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global _AUTH_LOCK, _cached_credentials, _cached_project_default
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with _AUTH_LOCK:

‎bigframes/core/block_transforms.py‎

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skew_column_ids: typing.Sequence[str],
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grouping_column_ids: typing.Sequence[str] = (),
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) -> blocks.Block:
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original_columns = skew_column_ids
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column_labels = block.select_columns(original_columns).column_labels
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‎bigframes/core/blocks.py‎

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sampling_method: Optional[str] = None,
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random_state: Optional[int] = None,
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) -> sampling_options.SamplingOptions:
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if (sampling_method is not None) and (sampling_method not in _SAMPLING_METHODS):
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raise NotImplementedError(
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f"The downsampling method {sampling_method} is not implemented, "
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"""Download results one message at a time.
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page_size and max_results determine the size and number of batches,
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see https://cloud.google.com/python/docs/reference/bigquery/latest/google.cloud.bigquery.job.QueryJob#google_cloud_bigquery_job_QueryJob_result"""
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see https://cloud.google.com/python/docs/reference/bigquery/latest/google.cloud.bigquery.job.QueryJob#google_cloud_bigquery_job_QueryJob_result
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"""
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under_10gb = (
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(not allow_large_results)

‎bigframes/core/compile/ibis_compiler/scalar_op_registry.py‎

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else timestamp(x)
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)
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elif x.type() == ibis_dtypes.Timestamp(None): # type: ignore
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return timestamp(x)
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# Numerical inputs.
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def ai_generate(
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*values: ibis_types.Value, op: ops.AIGenerate
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) -> ibis_types.StructValue:
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return ai_ops.AIGenerate(
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_construct_prompt(values, op.prompt_context), # type: ignore
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op.connection_id, # type: ignore
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def ai_generate_bool(
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*values: ibis_types.Value, op: ops.AIGenerateBool
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) -> ibis_types.StructValue:
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return ai_ops.AIGenerateBool(
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_construct_prompt(values, op.prompt_context), # type: ignore
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op.connection_id, # type: ignore
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def ai_generate_int(
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*values: ibis_types.Value, op: ops.AIGenerateInt
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) -> ibis_types.StructValue:
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return ai_ops.AIGenerateInt(
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_construct_prompt(values, op.prompt_context), # type: ignore
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op.connection_id, # type: ignore
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def ai_generate_double(
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*values: ibis_types.Value, op: ops.AIGenerateDouble
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) -> ibis_types.StructValue:
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return ai_ops.AIGenerateDouble(
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_construct_prompt(values, op.prompt_context), # type: ignore
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op.connection_id, # type: ignore
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@scalar_op_compiler.register_nary_op(ops.AIIf, pass_op=True)
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def ai_if(*values: ibis_types.Value, op: ops.AIIf) -> ibis_types.StructValue:
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return ai_ops.AIIf(
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_construct_prompt(values, op.prompt_context), # type: ignore
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op.connection_id, # type: ignore
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def ai_classify(
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*values: ibis_types.Value, op: ops.AIClassify
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) -> ibis_types.StructValue:
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_construct_prompt(values, op.prompt_context), # type: ignore
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op.categories, # type: ignore
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@scalar_op_compiler.register_nary_op(ops.AIScore, pass_op=True)
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def ai_score(*values: ibis_types.Value, op: ops.AIScore) -> ibis_types.StructValue:
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return ai_ops.AIScore(
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_construct_prompt(values, op.prompt_context), # type: ignore
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op.connection_id, # type: ignore

‎bigframes/core/expression_factoring.py‎

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return tuple(nodes.ColumnDef(expr, id) for id, expr in results.items())
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def graph_extract_window_expr() -> Optional[
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Tuple[Sequence[nodes.ColumnDef], window_spec.WindowSpec]
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]:
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def graph_extract_window_expr() -> (
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Optional[Tuple[Sequence[nodes.ColumnDef], window_spec.WindowSpec]]
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):
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for id in graph.sinks:
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next_def = by_id[id]
389389
if isinstance(next_def.expression, agg_expressions.WindowExpression):

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