chore: adjusts type hints to account for complications with mypy part 6

Author: chalmerlowe

packages/bigframes/tests/unit/core/compile/sqlglot/expressions/test_datetime_ops.py

@@ -62,37 +62,37 @@ def test_datetime_to_integer_label(scalar_types_df: bpd.DataFrame, snapshot):
     bf_df = scalar_types_df[col_names]
     ops_map = {
         "fixed_freq": ops.DatetimeToIntegerLabelOp(
-            freq=pd.tseries.offsets.Day(),
+            freq=pd.tseries.offsets.Day(),  # type: ignore[arg-type]
             origin="start",
             closed="left",  # type: ignore
         ).as_expr("datetime_col", "timestamp_col"),
         "origin_epoch": ops.DatetimeToIntegerLabelOp(
-            freq=pd.tseries.offsets.Day(),
+            freq=pd.tseries.offsets.Day(),  # type: ignore[arg-type]
             origin="epoch",
             closed="left",  # type: ignore
         ).as_expr("datetime_col", "timestamp_col"),
         "origin_start_day": ops.DatetimeToIntegerLabelOp(
-            freq=pd.tseries.offsets.Day(),
+            freq=pd.tseries.offsets.Day(),  # type: ignore[arg-type]
             origin="start_day",
             closed="left",  # type: ignore
         ).as_expr("datetime_col", "timestamp_col"),
         "non_fixed_freq_weekly": ops.DatetimeToIntegerLabelOp(
-            freq=pd.tseries.offsets.Week(weekday=6),
+            freq=pd.tseries.offsets.Week(weekday=6),  # type: ignore[arg-type]
             origin="start",
             closed="left",  # type: ignore
         ).as_expr("datetime_col", "timestamp_col"),
         "non_fixed_freq_monthly": ops.DatetimeToIntegerLabelOp(
-            freq=pd.tseries.offsets.MonthEnd(),
+            freq=pd.tseries.offsets.MonthEnd(),  # type: ignore[arg-type]
             origin="start",
             closed="left",  # type: ignore
         ).as_expr("datetime_col", "timestamp_col"),
         "non_fixed_freq_quarterly": ops.DatetimeToIntegerLabelOp(
-            freq=pd.tseries.offsets.QuarterEnd(startingMonth=12),
+            freq=pd.tseries.offsets.QuarterEnd(startingMonth=12),  # type: ignore[arg-type]
             origin="start",
             closed="left",  # type: ignore
         ).as_expr("datetime_col", "timestamp_col"),
         "non_fixed_freq_yearly": ops.DatetimeToIntegerLabelOp(
-            freq=pd.tseries.offsets.YearEnd(),
+            freq=pd.tseries.offsets.YearEnd(),  # type: ignore[arg-type]
             origin="start",
             closed="left",  # type: ignore
         ).as_expr("datetime_col", "timestamp_col"),
@@ -334,7 +334,7 @@ def test_integer_label_to_datetime_fixed(scalar_types_df: bpd.DataFrame, snapsho
     bf_df = scalar_types_df[col_names]
     ops_map = {
         "fixed_freq": ops.IntegerLabelToDatetimeOp(
-            freq=pd.tseries.offsets.Day(),
+            freq=pd.tseries.offsets.Day(),  # type: ignore[arg-type]
             origin="start",
             label="left",  # type: ignore
         ).as_expr("rowindex", "timestamp_col"),
@@ -349,7 +349,7 @@ def test_integer_label_to_datetime_week(scalar_types_df: bpd.DataFrame, snapshot
     bf_df = scalar_types_df[col_names]
     ops_map = {
         "non_fixed_freq_weekly": ops.IntegerLabelToDatetimeOp(
-            freq=pd.tseries.offsets.Week(weekday=6),
+            freq=pd.tseries.offsets.Week(weekday=6),  # type: ignore[arg-type]
             origin="start",
             label="left",  # type: ignore
         ).as_expr("rowindex", "timestamp_col"),