fix for column name comparison in pandas bin op

Author: tswast

bigframes/core/blocks.py

@@ -2471,7 +2471,7 @@ def _align_series_block_axis_1(
     def _align_pd_series_axis_1(
         self, other: pd.Series, how: str
     ) -> Tuple[Block, pd.Index, Sequence[Tuple[ex.RefOrConstant, ex.RefOrConstant]]]:
-        if self.column_labels.equals(other.index):
+        if self.column_labels.astype("object").equals(other.index.astype("object")):
             columns, lcol_indexer, rcol_indexer = self.column_labels, None, None
         else:
             if not (self.column_labels.is_unique and other.index.is_unique):

noxfile.py

@@ -46,9 +46,7 @@
     "3.11",
 ]
 
-# pytest-retry is not yet compatible with pytest 8.x.
-# https://github.com/str0zzapreti/pytest-retry/issues/32
-PYTEST_VERSION = "pytest<8.0.0dev"
+PYTEST_VERSION = "pytest==8.4.2"
 SPHINX_VERSION = "sphinx==4.5.0"
 LINT_PATHS = [
     "docs",

tests/unit/core/compile/sqlglot/expressions/snapshots/test_blob_ops/test_obj_get_access_url/out.sql

@@ -21,5 +21,5 @@ WITH `bfcte_0` AS (
 )
 SELECT
   `bfcol_0` AS `rowindex`,
-  `bfcol_10` AS `0`
+  `bfcol_10` AS `string_col`
 FROM `bfcte_3`

tests/unit/test_dataframe_polars.py

@@ -2319,7 +2319,8 @@ def test_binop_with_self_aggregate(session, scalars_dfs):
     df_columns = ["int64_col", "float64_col", "int64_too"]
 
     bf_df = scalars_df[df_columns]
-    bf_result = (bf_df - bf_df.mean()).to_pandas()
+    bf_deviation = bf_df - bf_df.mean()
+    bf_result = bf_deviation.to_pandas()
 
     pd_df = scalars_pandas_df[df_columns]
     pd_result = pd_df - pd_df.mean()