diff --git a/tests/test_frame.py b/tests/test_frame.py
index c2e4ef4f7..3c26c9088 100644
--- a/tests/test_frame.py
+++ b/tests/test_frame.py
@@ -1561,12 +1561,12 @@ class ReadCsvKwargs(TypedDict):
             assert_type(pd.read_csv(path, parse_dates=parse_dates_4), pd.DataFrame),
             pd.DataFrame,
         )
-        parse_dates_5 = [2]
+        parse_dates_5 = [0]
         check(
             assert_type(pd.read_csv(path, parse_dates=parse_dates_5), pd.DataFrame),
             pd.DataFrame,
         )
-        parse_dates_6 = [[1, 2], [1, 2, 3]]
+        parse_dates_6 = [[1, 2, 3]]
         check(
             assert_type(pd.read_csv(path, parse_dates=parse_dates_6), pd.DataFrame),
             pd.DataFrame,
diff --git a/tests/test_pandas.py b/tests/test_pandas.py
index a605e80c3..3b146c0b5 100644
--- a/tests/test_pandas.py
+++ b/tests/test_pandas.py
@@ -31,9 +31,14 @@
 def test_types_to_datetime() -> None:
     df = pd.DataFrame({"year": [2015, 2016], "month": [2, 3], "day": [4, 5]})
     r1: pd.Series = pd.to_datetime(df)
-    r2: pd.Series = pd.to_datetime(
-        df, unit="s", origin="unix", infer_datetime_format=True
-    )
+    with pytest_warns_bounded(
+        UserWarning,
+        match="The argument 'infer_datetime_format' is deprecated",
+        lower="1.5.99",
+    ):
+        r2: pd.Series = pd.to_datetime(
+            df, unit="s", origin="unix", infer_datetime_format=True
+        )
     r3: pd.Series = pd.to_datetime(
         df, unit="ns", dayfirst=True, utc=None, format="%M:%D", exact=False
     )
diff --git a/tests/test_scalars.py b/tests/test_scalars.py
index 48c21e7c9..19425c480 100644
--- a/tests/test_scalars.py
+++ b/tests/test_scalars.py
@@ -26,6 +26,7 @@
 from pandas._libs.tslibs.timedeltas import Components
 
 from tests import (
+    PD_LTE_15,
     TYPE_CHECKING_INVALID_USAGE,
     check,
     pytest_warns_bounded,
@@ -1761,7 +1762,12 @@ def test_period_add_subtract() -> None:
     check(assert_type(p + p.freq, pd.Period), pd.Period)
     # offset_index is tested below
     offset_index = p - as_period_index
-    check(assert_type(p + offset_index, pd.PeriodIndex), pd.PeriodIndex)
+    if PD_LTE_15:
+        check(assert_type(p + offset_index, pd.PeriodIndex), pd.PeriodIndex)
+    else:
+        # https://github.com/pandas-dev/pandas/issues/50162
+        check(assert_type(p + offset_index, pd.PeriodIndex), pd.Index)
+
     check(assert_type(p + as_td_series, PeriodSeries), pd.Series, pd.Period)
     check(assert_type(p + as_timedelta_idx, pd.PeriodIndex), pd.PeriodIndex)
     check(assert_type(p + as_nat, NaTType), NaTType)
diff --git a/tests/test_timefuncs.py b/tests/test_timefuncs.py
index 91c1be634..866815126 100644
--- a/tests/test_timefuncs.py
+++ b/tests/test_timefuncs.py
@@ -30,6 +30,7 @@
 from tests import (
     TYPE_CHECKING_INVALID_USAGE,
     check,
+    pytest_warns_bounded,
 )
 
 from pandas.tseries.holiday import USFederalHolidayCalendar
@@ -307,13 +308,18 @@ def test_to_datetime_nat() -> None:
         ),
         pd.Timestamp,
     )
-    check(
-        assert_type(
-            pd.to_datetime("not a date", errors="coerce"),
-            "Union[pd.Timestamp, NaTType]",
-        ),
-        NaTType,
-    )
+    with pytest_warns_bounded(
+        UserWarning,
+        match="Could not infer format, so each element",
+        lower="1.5.99",
+    ):
+        check(
+            assert_type(
+                pd.to_datetime("not a date", errors="coerce"),
+                "Union[pd.Timestamp, NaTType]",
+            ),
+            NaTType,
+        )
 
 
 def test_series_dt_accessors() -> None: