deps: support shapely 1.8.5+ again

bigframes/bigquery/_operations/geo.py

@@ -106,7 +106,9 @@ def st_area(
 def st_difference(
     series: Union[bigframes.series.Series, bigframes.geopandas.GeoSeries],
     other: Union[
-        bigframes.series.Series, bigframes.geopandas.GeoSeries, shapely.Geometry
+        bigframes.series.Series,
+        bigframes.geopandas.GeoSeries,
+        shapely.geometry.base.BaseGeometry,
     ],
 ) -> bigframes.series.Series:
     """
@@ -207,7 +209,9 @@ def st_difference(
 def st_distance(
     series: Union[bigframes.series.Series, bigframes.geopandas.GeoSeries],
     other: Union[
-        bigframes.series.Series, bigframes.geopandas.GeoSeries, shapely.Geometry
+        bigframes.series.Series,
+        bigframes.geopandas.GeoSeries,
+        shapely.geometry.base.BaseGeometry,
     ],
     *,
     use_spheroid: bool = False,
@@ -282,7 +286,9 @@ def st_distance(
 def st_intersection(
     series: Union[bigframes.series.Series, bigframes.geopandas.GeoSeries],
     other: Union[
-        bigframes.series.Series, bigframes.geopandas.GeoSeries, shapely.Geometry
+        bigframes.series.Series,
+        bigframes.geopandas.GeoSeries,
+        shapely.geometry.base.BaseGeometry,
     ],
 ) -> bigframes.series.Series:
     """

bigframes/dtypes.py

@@ -607,7 +607,7 @@ def _infer_dtype_from_python_type(type_: type) -> Dtype:
         return DATE_DTYPE
     if issubclass(type_, datetime.time):
         return TIME_DTYPE
-    if issubclass(type_, shapely.Geometry):
+    if issubclass(type_, shapely.geometry.base.BaseGeometry):
         return GEO_DTYPE
     else:
         raise TypeError(

setup.py

@@ -53,7 +53,7 @@
     "pyarrow >=15.0.2",
     "pydata-google-auth >=1.8.2",
     "requests >=2.27.1",
-    "shapely >=2.0.0",
+    "shapely >=1.8.5",
     "sqlglot >=23.6.3",
     "tabulate >=0.9",
     "ipywidgets >=7.7.1",

testing/constraints-3.9.txt

@@ -19,7 +19,7 @@ pyarrow==15.0.2
 pydata-google-auth==1.8.2
 requests==2.27.1
 scikit-learn==1.2.2
-shapely==2.0.0
+shapely==1.8.5
 sqlglot==23.6.3
 tabulate==0.9
 ipywidgets==7.7.1

tests/system/small/bigquery/test_geo.py

@@ -15,6 +15,7 @@
 import geopandas  # type: ignore
 import pandas as pd
 import pandas.testing
+import pytest
 from shapely.geometry import (  # type: ignore
     GeometryCollection,
     LineString,
@@ -94,6 +95,12 @@ def test_geo_st_difference_with_geometry_objects():
 
 
 def test_geo_st_difference_with_single_geometry_object():
+    pytest.importorskip(
+        "shapely",
+        minversion="2.0.0",
+        reason="shapely objects must be hashable to include in our expression trees",
+    )
+
     data1 = [
         Polygon([(0, 0), (10, 0), (10, 10), (0, 10), (0, 0)]),
         Polygon([(0, 1), (10, 1), (10, 9), (0, 9), (0, 1)]),
@@ -205,6 +212,12 @@ def test_geo_st_distance_with_geometry_objects():
 
 
 def test_geo_st_distance_with_single_geometry_object():
+    pytest.importorskip(
+        "shapely",
+        minversion="2.0.0",
+        reason="shapely objects must be hashable to include in our expression trees",
+    )
+
     data1 = [
         # 0.00001 is approximately 1 meter.
         Polygon([(0, 0), (0.00001, 0), (0.00001, 0.00001), (0, 0.00001), (0, 0)]),
@@ -279,6 +292,12 @@ def test_geo_st_intersection_with_geometry_objects():
 
 
 def test_geo_st_intersection_with_single_geometry_object():
+    pytest.importorskip(
+        "shapely",
+        minversion="2.0.0",
+        reason="shapely objects must be hashable to include in our expression trees",
+    )
+
     data1 = [
         Polygon([(0, 0), (10, 0), (10, 10), (0, 10), (0, 0)]),
         Polygon([(0, 1), (10, 1), (10, 9), (0, 9), (0, 1)]),

tests/unit/core/test_dtypes.py

@@ -20,7 +20,7 @@
 import pandas as pd
 import pyarrow as pa  # type: ignore
 import pytest
-import shapely  # type: ignore
+import shapely.geometry  # type: ignore
 
 import bigframes.core.compile.ibis_types
 import bigframes.dtypes
@@ -231,9 +231,9 @@ def test_bigframes_string_dtype_converts(ibis_dtype, bigframes_dtype_str):
         (bool, bigframes.dtypes.BOOL_DTYPE),
         (int, bigframes.dtypes.INT_DTYPE),
         (str, bigframes.dtypes.STRING_DTYPE),
-        (shapely.Point, bigframes.dtypes.GEO_DTYPE),
-        (shapely.Polygon, bigframes.dtypes.GEO_DTYPE),
-        (shapely.Geometry, bigframes.dtypes.GEO_DTYPE),
+        (shapely.geometry.Point, bigframes.dtypes.GEO_DTYPE),
+        (shapely.geometry.Polygon, bigframes.dtypes.GEO_DTYPE),
+        (shapely.geometry.base.BaseGeometry, bigframes.dtypes.GEO_DTYPE),
     ],
 )
 def test_bigframes_type_supports_python_types(python_type, expected_dtype):

tests/unit/core/test_sql.py

@@ -74,43 +74,45 @@ def test_simple_literal(value, expected_pattern):
 
 
 @pytest.mark.parametrize(
-    ("value", "expected"),
+    ("value", "expected_pattern"),
     (
         # Try to have some list of literals for each scalar data type:
         # https://cloud.google.com/bigquery/docs/reference/standard-sql/data-types
-        ([None, None], "[NULL, NULL]"),
-        ([True, False], "[True, False]"),
+        ([None, None], re.escape("[NULL, NULL]")),
+        ([True, False], re.escape("[True, False]")),
         (
             [b"\x01\x02\x03ABC", b"\x01\x02\x03ABC"],
-            "[b'\\x01\\x02\\x03ABC', b'\\x01\\x02\\x03ABC']",
+            re.escape("[b'\\x01\\x02\\x03ABC', b'\\x01\\x02\\x03ABC']"),
         ),
         (
             [datetime.date(2025, 1, 1), datetime.date(2025, 1, 1)],
-            "[DATE('2025-01-01'), DATE('2025-01-01')]",
+            re.escape("[DATE('2025-01-01'), DATE('2025-01-01')]"),
         ),
         (
             [datetime.datetime(2025, 1, 2, 3, 45, 6, 789123)],
-            "[DATETIME('2025-01-02T03:45:06.789123')]",
+            re.escape("[DATETIME('2025-01-02T03:45:06.789123')]"),
         ),
         (
-            [shapely.Point(0, 1), shapely.Point(0, 2)],
-            "[ST_GEOGFROMTEXT('POINT (0 1)'), ST_GEOGFROMTEXT('POINT (0 2)')]",
+            [shapely.geometry.Point(0, 1), shapely.geometry.Point(0, 2)],
+            r"\[ST_GEOGFROMTEXT\('POINT \(0[.]?0* 1[.]?0*\)'\), ST_GEOGFROMTEXT\('POINT \(0[.]?0* 2[.]?0*\)'\)\]",
         ),
         # TODO: INTERVAL type (e.g. from dateutil.relativedelta)
         # TODO: JSON type (TBD what Python object that would correspond to)
-        ([123, 456], "[123, 456]"),
+        ([123, 456], re.escape("[123, 456]")),
         (
             [decimal.Decimal("123.75"), decimal.Decimal("456.78")],
-            "[CAST('123.75' AS NUMERIC), CAST('456.78' AS NUMERIC)]",
+            re.escape("[CAST('123.75' AS NUMERIC), CAST('456.78' AS NUMERIC)]"),
         ),
         # TODO: support BIGNUMERIC by looking at precision/scale of the DECIMAL
-        ([123.75, 456.78], "[123.75, 456.78]"),
+        ([123.75, 456.78], re.escape("[123.75, 456.78]")),
         # TODO: support RANGE type
-        (["abc", "def"], "['abc', 'def']"),
+        (["abc", "def"], re.escape("['abc', 'def']")),
         # TODO: support STRUCT type (possibly another method?)
         (
             [datetime.time(12, 34, 56, 789123), datetime.time(11, 25, 56, 789123)],
-            "[TIME(DATETIME('1970-01-01 12:34:56.789123')), TIME(DATETIME('1970-01-01 11:25:56.789123'))]",
+            re.escape(
+                "[TIME(DATETIME('1970-01-01 12:34:56.789123')), TIME(DATETIME('1970-01-01 11:25:56.789123'))]"
+            ),
         ),
         (
             [
@@ -121,13 +123,15 @@ def test_simple_literal(value, expected_pattern):
                     2025, 2, 1, 4, 45, 6, 789123, tzinfo=datetime.timezone.utc
                 ),
             ],
-            "[TIMESTAMP('2025-01-02T03:45:06.789123+00:00'), TIMESTAMP('2025-02-01T04:45:06.789123+00:00')]",
+            re.escape(
+                "[TIMESTAMP('2025-01-02T03:45:06.789123+00:00'), TIMESTAMP('2025-02-01T04:45:06.789123+00:00')]"
+            ),
         ),
     ),
 )
-def test_simple_literal_w_list(value: list, expected: str):
+def test_simple_literal_w_list(value: list, expected_pattern: str):
     got = sql.simple_literal(value)
-    assert got == expected
+    assert re.match(expected_pattern, got) is not None
 
 
 def test_create_vector_search_sql_simple():