added coverage for datetime with timezone in extension_array test

Author: justinessert

pandas/tests/dtypes/cast/test_infer_dtype.py

@@ -9,7 +9,7 @@
     infer_dtype_from_scalar,
 )
 from pandas.core.dtypes.common import is_dtype_equal
-from pandas.core.dtypes.dtypes import IntervalDtype, PeriodDtype
+from pandas.core.dtypes.dtypes import DatetimeTZDtype, IntervalDtype, PeriodDtype
 
 from pandas import (
     Categorical,
@@ -205,6 +205,10 @@ def test_cast_scalar_to_numpy_array(obj, dtype):
     [
         (Period("2011-01-01", freq="D"), PeriodDtype("D")),
         (Interval(left=0, right=5), IntervalDtype("int64")),
+        (
+            Timestamp("2011-01-01", tz="US/Eastern"),
+            DatetimeTZDtype(unit="ns", tz="US/Eastern"),
+        ),
     ],
 )
 def test_cast_scalar_to_extension_array(obj, dtype):
@@ -215,3 +219,6 @@ def test_cast_scalar_to_extension_array(obj, dtype):
 
     arr = cast_scalar_to_array(shape, obj, dtype=dtype)
     tm.assert_extension_array_equal(arr[0], exp)
+
+    arr = cast_scalar_to_array(shape, obj, dtype=None)
+    tm.assert_extension_array_equal(arr[0], exp)