Prevent OutOfBoundsDatetime error for tz-aware series

Author: AdrianDAlessandro

Diff for: pandas/_libs/tslib.pyx

@@ -681,7 +681,7 @@ cdef _array_to_datetime_object(
     return oresult_nd, None
 
 
-def array_to_datetime_with_tz(ndarray values, tzinfo tz):
+def array_to_datetime_with_tz(ndarray values, tzinfo tz, unit="ns"):
     """
     Vectorized analogue to pd.Timestamp(value, tz=tz)
 
@@ -717,7 +717,7 @@ def array_to_datetime_with_tz(ndarray values, tzinfo tz):
                 else:
                     # datetime64, tznaive pydatetime, int, float
                     ts = ts.tz_localize(tz)
-                ts = ts.as_unit("ns")
+                ts = ts.as_unit(unit)
                 ival = ts._value
 
         # Analogous to: result[i] = ival

Diff for: pandas/core/arrays/datetimes.py

@@ -336,7 +336,7 @@ def _from_sequence_not_strict(
                 # DatetimeTZDtype
                 unit = dtype.unit
 
-        subarr, tz, inferred_freq = _sequence_to_dt64ns(
+        subarr, tz, inferred_freq = _sequence_to_dt64(
             data,
             copy=copy,
             tz=tz,
@@ -2156,7 +2156,7 @@ def std(
 # Constructor Helpers
 
 
-def _sequence_to_dt64ns(
+def _sequence_to_dt64(
     data,
     *,
     copy: bool = False,
@@ -2218,8 +2218,8 @@ def _sequence_to_dt64ns(
         elif tz is not None and ambiguous == "raise":
             # TODO: yearfirst/dayfirst/etc?
             obj_data = np.asarray(data, dtype=object)
-            i8data = tslib.array_to_datetime_with_tz(obj_data, tz)
-            return i8data.view(DT64NS_DTYPE), tz, None
+            i8data = tslib.array_to_datetime_with_tz(obj_data, tz, out_unit)
+            return i8data.view(out_dtype), tz, None
         else:
             # data comes back here as either i8 to denote UTC timestamps
             #  or M8[ns] to denote wall times

Diff for: pandas/tests/series/test_constructors.py

@@ -1148,6 +1148,15 @@ def test_constructor_with_datetime_tz(self):
         result = DatetimeIndex(s, freq="infer")
         tm.assert_index_equal(result, dr)
 
+    def test_constructor_with_datetime_tz_ms(self):
+        # explicit frequency
+        result = Series([Timestamp("2999-01-01")], dtype="datetime64[ms, US/Pacific]")
+        expected = Series(
+            np.array(["2999-01-01"], dtype="datetime64[ms]")
+        ).dt.tz_localize("US/Pacific")
+        tm.assert_series_equal(result, expected)
+        assert result.dtype == "datetime64[ms, US/Pacific]"
+
     def test_constructor_with_datetime_tz4(self):
         # inference
         s = Series(