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-10
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7 files changed

+11
-10
lines changed

packages/pandas-gbq/noxfile.py

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@@ -35,7 +35,11 @@
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DEFAULT_PYTHON_VERSION = "3.14"
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UNIT_TEST_PYTHON_VERSIONS = [
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"3.10", "3.11", "3.12", "3.13", "3.14",
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"3.10",
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"3.11",
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"3.12",
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"3.13",
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"3.14",
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# Not supported, but included so that we can explicitly skip the session
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# from here. Keep unsupported versions last so that they don't conflict with
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# the prerelease_deps session.
@@ -232,7 +236,7 @@ def default(session):
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def unit(session):
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"""Run the unit test suite."""
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if session.python == "3.9":
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session.skip("Python 3.9 is not supported.")
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session.skip("Python 3.9 is not supported.")
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default(session)
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packages/pandas-gbq/pandas_gbq/core/biglake.py

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import pandas_gbq.core.resource_references
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_DRY_RUN_TEMPLATE = """
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SELECT *
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FROM `{project}.{catalog}.{namespace}.{table}`

packages/pandas-gbq/pandas_gbq/core/resource_references.py

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import re
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from typing import Union
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_TABLE_REFEREENCE_PATTERN = re.compile(
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# In the past, organizations could prefix their project IDs with a domain
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# name. Such projects still exist, especially at Google.

packages/pandas-gbq/pandas_gbq/core/sample.py

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@@ -13,10 +13,10 @@
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import psutil
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import pandas_gbq.constants
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import pandas_gbq.core.read
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import pandas_gbq.core.biglake
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import pandas_gbq.gbq_connector
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import pandas_gbq.core.read
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import pandas_gbq.core.resource_references
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import pandas_gbq.gbq_connector
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# Only import at module-level at type checking time to avoid circular
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# dependencies in the pandas package, which has an optional dependency on

packages/pandas-gbq/setup.py

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@@ -22,7 +22,7 @@
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release_status = "Development Status :: 4 - Beta"
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dependencies = [
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"setuptools",
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"db-dtypes >=1.0.4,<2.0.0",
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"db-dtypes >=1.1.1,<2.0.0",
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"numpy >=1.26.4",
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"pandas >=1.5.3",
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"pyarrow >= 12.0.0",

packages/pandas-gbq/testing/constraints-3.10.txt

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#
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# e.g., if setup.py has "foo >= 1.14.0, < 2.0.0dev",
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# Then this file should have foo==1.14.0
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db-dtypes==1.0.4
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db-dtypes==1.1.1
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numpy==1.26.4
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pandas==1.5.3
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psutil==5.9.8

packages/pandas-gbq/tests/unit/core/test_biglake.py

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import google.cloud.bigquery
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from pandas_gbq.core import biglake
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from pandas_gbq.core import resource_references
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from pandas_gbq.core import biglake, resource_references
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def test_get_table_metadata(mock_bigquery_client):

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