chore: sync v3 with main branch

google/cloud/__init__.py

@@ -21,4 +21,4 @@
 except ImportError:
     import pkgutil
 
-    __path__ = pkgutil.extend_path(__path__, __name__)
+    __path__ = pkgutil.extend_path(__path__, __name__)  # type: ignore

google/cloud/bigquery/_helpers.py

@@ -22,7 +22,7 @@
 from typing import Optional, Union
 
 from dateutil import relativedelta
-from google.cloud._helpers import UTC
+from google.cloud._helpers import UTC  # type: ignore
 from google.cloud._helpers import _date_from_iso8601_date
 from google.cloud._helpers import _datetime_from_microseconds
 from google.cloud._helpers import _RFC3339_MICROS
@@ -93,7 +93,7 @@ def __init__(self):
     def installed_version(self) -> packaging.version.Version:
         """Return the parsed version of pyarrow."""
         if self._installed_version is None:
-            import pyarrow
+            import pyarrow  # type: ignore
 
             self._installed_version = packaging.version.parse(
                 # Use 0.0.0, since it is earlier than any released version.

google/cloud/bigquery/_http.py

@@ -17,7 +17,7 @@
 import os
 import pkg_resources
 
-from google.cloud import _http  # pytype: disable=import-error
+from google.cloud import _http  # type: ignore  # pytype: disable=import-error
 from google.cloud.bigquery import __version__
 
 
@@ -52,8 +52,8 @@ def __init__(self, client, client_info=None, api_endpoint=None):
         self._client_info.gapic_version = __version__
         self._client_info.client_library_version = __version__
 
-    API_VERSION = "v2"
+    API_VERSION = "v2"  # type: ignore
     """The version of the API, used in building the API call's URL."""
 
-    API_URL_TEMPLATE = "{api_base_url}/bigquery/{api_version}{path}"
+    API_URL_TEMPLATE = "{api_base_url}/bigquery/{api_version}{path}"  # type: ignore
     """A template for the URL of a particular API call."""

google/cloud/bigquery/_pandas_helpers.py

@@ -22,18 +22,18 @@
 import warnings
 
 try:
-    import pandas
+    import pandas  # type: ignore
 except ImportError:  # pragma: NO COVER
     pandas = None
 else:
     import numpy
 
-import pyarrow
-import pyarrow.parquet
+import pyarrow  # type: ignore
+import pyarrow.parquet  # type: ignore
 
 try:
     # _BaseGeometry is used to detect shapely objevys in `bq_to_arrow_array`
-    from shapely.geometry.base import BaseGeometry as _BaseGeometry
+    from shapely.geometry.base import BaseGeometry as _BaseGeometry  # type: ignore
 except ImportError:  # pragma: NO COVER
     # No shapely, use NoneType for _BaseGeometry as a placeholder.
     _BaseGeometry = type(None)
@@ -47,7 +47,7 @@ def _to_wkb():
             # - Avoid extra work done by `shapely.wkb.dumps` that we don't need.
             # - Caches the WKBWriter (and write method lookup :) )
             # - Avoids adding WKBWriter, lgeos, and notnull to the module namespace.
-            from shapely.geos import WKBWriter, lgeos
+            from shapely.geos import WKBWriter, lgeos  # type: ignore
 
             write = WKBWriter(lgeos).write
             notnull = pandas.notnull
@@ -593,7 +593,7 @@ def dataframe_to_parquet(
 
             This argument is ignored for ``pyarrow`` versions earlier than ``4.0.0``.
     """
-    import pyarrow.parquet
+    import pyarrow.parquet  # type: ignore
 
     kwargs = (
         {"use_compliant_nested_type": parquet_use_compliant_nested_type}

google/cloud/bigquery/_tqdm_helpers.py

@@ -21,7 +21,7 @@
 import warnings
 
 try:
-    import tqdm
+    import tqdm  # type: ignore
 except ImportError:  # pragma: NO COVER
     tqdm = None