feat: Support isin with bigframes.pandas.Index arg

bigframes/core/indexes/base.py

@@ -504,6 +504,10 @@ def unique(self, level: Hashable | int | None = None) -> Index:
         return self.get_level_values(level).drop_duplicates()
 
     def isin(self, values) -> Index:
+        import bigframes.series as series
+
+        if isinstance(values, (series.Series, Index)):
+            return Index(self.to_series().isin(values))
         if not utils.is_list_like(values):
             raise TypeError(
                 "only list-like objects are allowed to be passed to "

bigframes/series.py

@@ -979,8 +979,10 @@ def nsmallest(self, n: int = 5, keep: str = "first") -> Series:
         )
 
     def isin(self, values) -> "Series" | None:
-        if isinstance(values, (Series,)):
+        if isinstance(values, Series):
             return Series(self._block.isin(values._block))
+        if isinstance(values, indexes.Index):
+            return Series(self._block.isin(values.to_series()._block))
         if not _is_list_like(values):
             raise TypeError(
                 "only list-like objects are allowed to be passed to "

tests/system/small/test_index.py

@@ -375,7 +375,7 @@ def test_index_drop_duplicates(scalars_df_index, scalars_pandas_df_index, keep):
     )
 
 
-def test_index_isin(scalars_df_index, scalars_pandas_df_index):
+def test_index_isin_list(scalars_df_index, scalars_pandas_df_index):
     col_name = "int64_col"
     bf_series = (
         scalars_df_index.set_index(col_name).index.isin([2, 55555, 4]).to_pandas()
@@ -389,6 +389,38 @@ def test_index_isin(scalars_df_index, scalars_pandas_df_index):
     )
 
 
+def test_index_isin_bf_series(scalars_df_index, scalars_pandas_df_index, session):
+    col_name = "int64_col"
+    bf_series = (
+        scalars_df_index.set_index(col_name)
+        .index.isin(bpd.Series([2, 55555, 4], session=session))
+        .to_pandas()
+    )
+    pd_result_array = scalars_pandas_df_index.set_index(col_name).index.isin(
+        [2, 55555, 4]
+    )
+    pd.testing.assert_index_equal(
+        pd.Index(pd_result_array).set_names(col_name),
+        bf_series,
+    )
+
+
+def test_index_isin_bf_index(scalars_df_index, scalars_pandas_df_index, session):
+    col_name = "int64_col"
+    bf_series = (
+        scalars_df_index.set_index(col_name)
+        .index.isin(bpd.Index([2, 55555, 4], session=session))
+        .to_pandas()
+    )
+    pd_result_array = scalars_pandas_df_index.set_index(col_name).index.isin(
+        [2, 55555, 4]
+    )
+    pd.testing.assert_index_equal(
+        pd.Index(pd_result_array).set_names(col_name),
+        bf_series,
+    )
+
+
 def test_multiindex_name_is_none(session):
     df = pd.DataFrame(
         {

tests/system/small/test_series.py

@@ -1380,6 +1380,24 @@ def test_isin_bigframes_values(scalars_dfs, col_name, test_set, session):
     )
 
 
+def test_isin_bigframes_index(scalars_dfs, session):
+    scalars_df, scalars_pandas_df = scalars_dfs
+    bf_result = (
+        scalars_df["string_col"]
+        .isin(bigframes.pandas.Index(["Hello, World!", "Hi", "こんにちは"], session=session))
+        .to_pandas()
+    )
+    pd_result = (
+        scalars_pandas_df["string_col"]
+        .isin(pd.Index(["Hello, World!", "Hi", "こんにちは"]))
+        .astype("boolean")
+    )
+    pd.testing.assert_series_equal(
+        pd_result,
+        bf_result,
+    )
+
+
 @pytest.mark.parametrize(
     (
         "col_name",