BUG/WIP: segfault manifesting with dateutil=2.6 w.r.t. replace when timezones are present

ci/requirements-3.5_OSX.pip

@@ -1 +1 @@
-python-dateutil>=2.5.0
+python-dateutil==2.5.3

doc/source/whatsnew/v0.19.2.txt

@@ -22,3 +22,6 @@ Performance Improvements
 
 Bug Fixes
 ~~~~~~~~~
+
+- compat with ``dateutil==2.6.0`` for testing (:issue:`14621`)
+- allow ``nanoseconds`` in ``Timestamp.replace`` kwargs (:issue:`14621`)

pandas/tseries/offsets.py

@@ -68,6 +68,7 @@ def wrapper(self, other):
                 other = other.tz_localize(None)
 
             result = func(self, other)
+
             if self._adjust_dst:
                 result = tslib._localize_pydatetime(result, tz)
 

pandas/tseries/tests/test_offsets.py

@@ -1,4 +1,5 @@
 import os
+from distutils.version import LooseVersion
 from datetime import date, datetime, timedelta
 from dateutil.relativedelta import relativedelta
 from pandas.compat import range, iteritems
@@ -4851,6 +4852,7 @@ def _test_all_offsets(self, n, **kwds):
 
     def _test_offset(self, offset_name, offset_n, tstart, expected_utc_offset):
         offset = DateOffset(**{offset_name: offset_n})
+
         t = tstart + offset
         if expected_utc_offset is not None:
             self.assertTrue(get_utc_offset_hours(t) == expected_utc_offset)
@@ -4890,17 +4892,23 @@ def _make_timestamp(self, string, hrs_offset, tz):
         return Timestamp(string + offset_string).tz_convert(tz)
 
     def test_fallback_plural(self):
-        """test moving from daylight savings to standard time"""
+        # test moving from daylight savings to standard time
+        import dateutil
         for tz, utc_offsets in self.timezone_utc_offsets.items():
             hrs_pre = utc_offsets['utc_offset_daylight']
             hrs_post = utc_offsets['utc_offset_standard']
-            self._test_all_offsets(
-                n=3, tstart=self._make_timestamp(self.ts_pre_fallback,
-                                                 hrs_pre, tz),
-                expected_utc_offset=hrs_post)
+
+            if dateutil.__version__ != LooseVersion('2.6.0'):
+                # buggy ambiguous behavior in 2.6.0
+                # GH 14621
+                # https://github.com/dateutil/dateutil/issues/321
+                self._test_all_offsets(
+                    n=3, tstart=self._make_timestamp(self.ts_pre_fallback,
+                                                     hrs_pre, tz),
+                    expected_utc_offset=hrs_post)
 
     def test_springforward_plural(self):
-        """test moving from standard to daylight savings"""
+        # test moving from standard to daylight savings
         for tz, utc_offsets in self.timezone_utc_offsets.items():
             hrs_pre = utc_offsets['utc_offset_standard']
             hrs_post = utc_offsets['utc_offset_daylight']

pandas/tseries/tests/test_timezones.py

@@ -4,7 +4,7 @@
 
 import numpy as np
 import pytz
-
+from distutils.version import LooseVersion
 from pandas.types.dtypes import DatetimeTZDtype
 from pandas import (Index, Series, DataFrame, isnull, Timestamp)
 
@@ -518,8 +518,12 @@ def f():
 
         times = date_range("2013-10-26 23:00", "2013-10-27 01:00", freq="H",
                            tz=tz, ambiguous='infer')
-        self.assertEqual(times[0], Timestamp('2013-10-26 23:00', tz=tz))
-        self.assertEqual(times[-1], Timestamp('2013-10-27 01:00', tz=tz))
+        self.assertEqual(times[0], Timestamp('2013-10-26 23:00', tz=tz,
+                                             freq="H"))
+        if dateutil.__version__ != LooseVersion('2.6.0'):
+            # GH 14621
+            self.assertEqual(times[-1], Timestamp('2013-10-27 01:00', tz=tz,
+                                                  freq="H"))
 
     def test_ambiguous_nat(self):
         tz = self.tz('US/Eastern')
@@ -1163,6 +1167,85 @@ class TestTimeZones(tm.TestCase):
     def setUp(self):
         tm._skip_if_no_pytz()
 
+    def test_replace(self):
+        # GH 14621
+        # GH 7825
+        # replacing datetime components with and w/o presence of a timezone
+        dt = Timestamp('2016-01-01 09:00:00')
+        result = dt.replace(hour=0)
+        expected = Timestamp('2016-01-01 00:00:00')
+        self.assertEqual(result, expected)
+
+        for tz in self.timezones:
+            dt = Timestamp('2016-01-01 09:00:00', tz=tz)
+            result = dt.replace(hour=0)
+            expected = Timestamp('2016-01-01 00:00:00', tz=tz)
+            self.assertEqual(result, expected)
+
+        # we preserve nanoseconds
+        dt = Timestamp('2016-01-01 09:00:00.000000123', tz=tz)
+        result = dt.replace(hour=0)
+        expected = Timestamp('2016-01-01 00:00:00.000000123', tz=tz)
+        self.assertEqual(result, expected)
+
+        # test all
+        dt = Timestamp('2016-01-01 09:00:00.000000123', tz=tz)
+        result = dt.replace(year=2015, month=2, day=2, hour=0, minute=5,
+                            second=5, microsecond=5, nanosecond=5)
+        expected = Timestamp('2015-02-02 00:05:05.000005005', tz=tz)
+        self.assertEqual(result, expected)
+
+        # error
+        def f():
+            dt.replace(foo=5)
+        self.assertRaises(ValueError, f)
+
+        def f():
+            dt.replace(hour=0.1)
+        self.assertRaises(ValueError, f)
+
+        # assert conversion to naive is the same as replacing tzinfo with None
+        dt = Timestamp('2013-11-03 01:59:59.999999-0400', tz='US/Eastern')
+        self.assertEqual(dt.tz_localize(None), dt.replace(tzinfo=None))
+
+    def test_ambiguous_compat(self):
+        # validate that pytz and dateutil are compat for dst
+        # when the transition happens
+        tm._skip_if_no_dateutil()
+        tm._skip_if_no_pytz()
+
+        pytz_zone = 'Europe/London'
+        dateutil_zone = 'dateutil/Europe/London'
+        result_pytz = (Timestamp('2013-10-27 01:00:00')
+                       .tz_localize(pytz_zone, ambiguous=0))
+        result_dateutil = (Timestamp('2013-10-27 01:00:00')
+                           .tz_localize(dateutil_zone, ambiguous=0))
+        self.assertEqual(result_pytz.value, result_dateutil.value)
+        self.assertEqual(result_pytz.value, 1382835600000000000)
+
+        # dateutil 2.6 buggy w.r.t. ambiguous=0
+        if dateutil.__version__ != LooseVersion('2.6.0'):
+            # GH 14621
+            # https://github.com/dateutil/dateutil/issues/321
+            self.assertEqual(result_pytz.to_pydatetime().tzname(),
+                             result_dateutil.to_pydatetime().tzname())
+            self.assertEqual(str(result_pytz), str(result_dateutil))
+
+        # 1 hour difference
+        result_pytz = (Timestamp('2013-10-27 01:00:00')
+                       .tz_localize(pytz_zone, ambiguous=1))
+        result_dateutil = (Timestamp('2013-10-27 01:00:00')
+                           .tz_localize(dateutil_zone, ambiguous=1))
+        self.assertEqual(result_pytz.value, result_dateutil.value)
+        self.assertEqual(result_pytz.value, 1382832000000000000)
+
+        # dateutil < 2.6 is buggy w.r.t. ambiguous timezones
+        if dateutil.__version__ > LooseVersion('2.5.3'):
+            # GH 14621
+            self.assertEqual(str(result_pytz), str(result_dateutil))
+            self.assertEqual(result_pytz.to_pydatetime().tzname(),
+                             result_dateutil.to_pydatetime().tzname())
+
     def test_index_equals_with_tz(self):
         left = date_range('1/1/2011', periods=100, freq='H', tz='utc')
         right = date_range('1/1/2011', periods=100, freq='H', tz='US/Eastern')

pandas/tseries/tests/test_tslib.py

@@ -327,8 +327,9 @@ def test_repr(self):
 
         # dateutil zone change (only matters for repr)
         import dateutil
-        if dateutil.__version__ >= LooseVersion(
-                '2.3') and dateutil.__version__ <= LooseVersion('2.4.0'):
+        if (dateutil.__version__ >= LooseVersion('2.3') and
+            (dateutil.__version__ <= LooseVersion('2.4.0') or
+             dateutil.__version__ >= LooseVersion('2.6.0'))):
             timezones = ['UTC', 'Asia/Tokyo', 'US/Eastern',
                          'dateutil/US/Pacific']
         else:

pandas/tslib.pyx

@@ -98,6 +98,7 @@ except NameError: # py3
 cdef inline object create_timestamp_from_ts(
         int64_t value, pandas_datetimestruct dts,
         object tz, object freq):
+    """ convenience routine to construct a Timestamp from its parts """
     cdef _Timestamp ts_base
     ts_base = _Timestamp.__new__(Timestamp, dts.year, dts.month,
                                  dts.day, dts.hour, dts.min,
@@ -112,6 +113,7 @@ cdef inline object create_timestamp_from_ts(
 cdef inline object create_datetime_from_ts(
         int64_t value, pandas_datetimestruct dts,
         object tz, object freq):
+    """ convenience routine to construct a datetime.datetime from its parts """
     return datetime(dts.year, dts.month, dts.day, dts.hour,
                     dts.min, dts.sec, dts.us, tz)
 
@@ -378,7 +380,6 @@ class Timestamp(_Timestamp):
         # Mixing pydatetime positional and keyword arguments is forbidden!
 
         cdef _TSObject ts
-        cdef _Timestamp ts_base
 
         if offset is not None:
             # deprecate offset kwd in 0.19.0, GH13593
@@ -412,17 +413,7 @@ class Timestamp(_Timestamp):
             from pandas.tseries.frequencies import to_offset
             freq = to_offset(freq)
 
-        # make datetime happy
-        ts_base = _Timestamp.__new__(cls, ts.dts.year, ts.dts.month,
-                                     ts.dts.day, ts.dts.hour, ts.dts.min,
-                                     ts.dts.sec, ts.dts.us, ts.tzinfo)
-
-        # fill out rest of data
-        ts_base.value = ts.value
-        ts_base.freq = freq
-        ts_base.nanosecond = ts.dts.ps / 1000
-
-        return ts_base
+        return create_timestamp_from_ts(ts.value, ts.dts, ts.tzinfo, freq)
 
     def _round(self, freq, rounder):
 
@@ -660,8 +651,80 @@ class Timestamp(_Timestamp):
     astimezone = tz_convert
 
     def replace(self, **kwds):
-        return Timestamp(datetime.replace(self, **kwds),
-                         freq=self.freq)
+        """
+        implements datetime.replace, handles nanoseconds
+
+        Parameters
+        ----------
+        kwargs: key-value dict
+
+        accepted keywords are:
+        year, month, day, hour, minute, second, microsecond, nanosecond, tzinfo
+
+        values must be integer, or for tzinfo, a tz-convertible
+
+        Returns
+        -------
+        Timestamp with fields replaced
+        """
+
+        cdef:
+            pandas_datetimestruct dts
+            int64_t value
+            object tzinfo, result, k, v
+            _TSObject ts
+
+        # set to naive if needed
+        tzinfo = self.tzinfo
+        value = self.value
+        if tzinfo is not None:
+            value = tz_convert_single(value, 'UTC', tzinfo)
+
+        # setup components
+        pandas_datetime_to_datetimestruct(value, PANDAS_FR_ns, &dts)
+        dts.ps = self.nanosecond * 1000
+
+        # replace
+        def validate(k, v):
+            """ validate integers """
+            if not isinstance(v, int):
+                raise ValueError("value must be an integer, received {v} for {k}".format(v=type(v), k=k))
+            return v
+
+        for k, v in kwds.items():
+            if k == 'year':
+                dts.year = validate(k, v)
+            elif k == 'month':
+                dts.month = validate(k, v)
+            elif k == 'day':
+                dts.day = validate(k, v)
+            elif k == 'hour':
+                dts.hour = validate(k, v)
+            elif k == 'minute':
+                dts.min = validate(k, v)
+            elif k == 'second':
+                dts.sec = validate(k, v)
+            elif k == 'microsecond':
+                dts.us = validate(k, v)
+            elif k == 'nanosecond':
+                dts.ps = validate(k, v) * 1000
+            elif k == 'tzinfo':
+                tzinfo = v
+            else:
+                raise ValueError("invalid name {} passed".format(k))
+
+        # reconstruct & check bounds
+        value = pandas_datetimestruct_to_datetime(PANDAS_FR_ns, &dts)
+        if value != NPY_NAT:
+            _check_dts_bounds(&dts)
+
+        # set tz if needed
+        if tzinfo is not None:
+            value = tz_convert_single(value, tzinfo, 'UTC')
+
+        result = create_timestamp_from_ts(value, dts, tzinfo, self.freq)
+
+        return result
 
     def isoformat(self, sep='T'):
         base = super(_Timestamp, self).isoformat(sep=sep)
@@ -5041,7 +5104,9 @@ cpdef normalize_date(object dt):
     -------
     normalized : datetime.datetime or Timestamp
     """
-    if PyDateTime_Check(dt):
+    if is_timestamp(dt):
+        return dt.replace(hour=0, minute=0, second=0, microsecond=0, nanosecond=0)
+    elif PyDateTime_Check(dt):
         return dt.replace(hour=0, minute=0, second=0, microsecond=0)
     elif PyDate_Check(dt):
         return datetime(dt.year, dt.month, dt.day)