Static code analysis and corrections

utils/venv/lib/python3.6/site-packages/pandas/tests/scalar/interval/test_interval.py

@@ -0,0 +1,225 @@
+from __future__ import division
+
+import numpy as np
+import pytest
+
+from pandas import Interval, Timedelta, Timestamp
+import pandas.core.common as com
+
+
+@pytest.fixture
+def interval():
+    return Interval(0, 1)
+
+
+class TestInterval(object):
+
+    def test_properties(self, interval):
+        assert interval.closed == 'right'
+        assert interval.left == 0
+        assert interval.right == 1
+        assert interval.mid == 0.5
+
+    def test_repr(self, interval):
+        assert repr(interval) == "Interval(0, 1, closed='right')"
+        assert str(interval) == "(0, 1]"
+
+        interval_left = Interval(0, 1, closed='left')
+        assert repr(interval_left) == "Interval(0, 1, closed='left')"
+        assert str(interval_left) == "[0, 1)"
+
+    def test_contains(self, interval):
+        assert 0.5 in interval
+        assert 1 in interval
+        assert 0 not in interval
+
+        msg = "__contains__ not defined for two intervals"
+        with pytest.raises(TypeError, match=msg):
+            interval in interval
+
+        interval_both = Interval(0, 1, closed='both')
+        assert 0 in interval_both
+        assert 1 in interval_both
+
+        interval_neither = Interval(0, 1, closed='neither')
+        assert 0 not in interval_neither
+        assert 0.5 in interval_neither
+        assert 1 not in interval_neither
+
+    def test_equal(self):
+        assert Interval(0, 1) == Interval(0, 1, closed='right')
+        assert Interval(0, 1) != Interval(0, 1, closed='left')
+        assert Interval(0, 1) != 0
+
+    def test_comparison(self):
+        with pytest.raises(TypeError, match='unorderable types'):
+            Interval(0, 1) < 2
+
+        assert Interval(0, 1) < Interval(1, 2)
+        assert Interval(0, 1) < Interval(0, 2)
+        assert Interval(0, 1) < Interval(0.5, 1.5)
+        assert Interval(0, 1) <= Interval(0, 1)
+        assert Interval(0, 1) > Interval(-1, 2)
+        assert Interval(0, 1) >= Interval(0, 1)
+
+    def test_hash(self, interval):
+        # should not raise
+        hash(interval)
+
+    @pytest.mark.parametrize('left, right, expected', [
+        (0, 5, 5),
+        (-2, 5.5, 7.5),
+        (10, 10, 0),
+        (10, np.inf, np.inf),
+        (-np.inf, -5, np.inf),
+        (-np.inf, np.inf, np.inf),
+        (Timedelta('0 days'), Timedelta('5 days'), Timedelta('5 days')),
+        (Timedelta('10 days'), Timedelta('10 days'), Timedelta('0 days')),
+        (Timedelta('1H10M'), Timedelta('5H5M'), Timedelta('3H55M')),
+        (Timedelta('5S'), Timedelta('1H'), Timedelta('59M55S'))])
+    def test_length(self, left, right, expected):
+        # GH 18789
+        iv = Interval(left, right)
+        result = iv.length
+        assert result == expected
+
+    @pytest.mark.parametrize('left, right, expected', [
+        ('2017-01-01', '2017-01-06', '5 days'),
+        ('2017-01-01', '2017-01-01 12:00:00', '12 hours'),
+        ('2017-01-01 12:00', '2017-01-01 12:00:00', '0 days'),
+        ('2017-01-01 12:01', '2017-01-05 17:31:00', '4 days 5 hours 30 min')])
+    @pytest.mark.parametrize('tz', (None, 'UTC', 'CET', 'US/Eastern'))
+    def test_length_timestamp(self, tz, left, right, expected):
+        # GH 18789
+        iv = Interval(Timestamp(left, tz=tz), Timestamp(right, tz=tz))
+        result = iv.length
+        expected = Timedelta(expected)
+        assert result == expected
+
+    @pytest.mark.parametrize('left, right', [
+        ('a', 'z'),
+        (('a', 'b'), ('c', 'd')),
+        (list('AB'), list('ab')),
+        (Interval(0, 1), Interval(1, 2))])
+    def test_length_errors(self, left, right):
+        # GH 18789
+        iv = Interval(left, right)
+        msg = 'cannot compute length between .* and .*'
+        with pytest.raises(TypeError, match=msg):
+            iv.length
+
+    def test_math_add(self, closed):
+        interval = Interval(0, 1, closed=closed)
+        expected = Interval(1, 2, closed=closed)
+
+        result = interval + 1
+        assert result == expected
+
+        result = 1 + interval
+        assert result == expected
+
+        result = interval
+        result += 1
+        assert result == expected
+
+        msg = r"unsupported operand type\(s\) for \+"
+        with pytest.raises(TypeError, match=msg):
+            interval + interval
+
+        with pytest.raises(TypeError, match=msg):
+            interval + 'foo'
+
+    def test_math_sub(self, closed):
+        interval = Interval(0, 1, closed=closed)
+        expected = Interval(-1, 0, closed=closed)
+
+        result = interval - 1
+        assert result == expected
+
+        result = interval
+        result -= 1
+        assert result == expected
+
+        msg = r"unsupported operand type\(s\) for -"
+        with pytest.raises(TypeError, match=msg):
+            interval - interval
+
+        with pytest.raises(TypeError, match=msg):
+            interval - 'foo'
+
+    def test_math_mult(self, closed):
+        interval = Interval(0, 1, closed=closed)
+        expected = Interval(0, 2, closed=closed)
+
+        result = interval * 2
+        assert result == expected
+
+        result = 2 * interval
+        assert result == expected
+
+        result = interval
+        result *= 2
+        assert result == expected
+
+        msg = r"unsupported operand type\(s\) for \*"
+        with pytest.raises(TypeError, match=msg):
+            interval * interval
+
+        msg = r"can\'t multiply sequence by non-int"
+        with pytest.raises(TypeError, match=msg):
+            interval * 'foo'
+
+    def test_math_div(self, closed):
+        interval = Interval(0, 1, closed=closed)
+        expected = Interval(0, 0.5, closed=closed)
+
+        result = interval / 2.0
+        assert result == expected
+
+        result = interval
+        result /= 2.0
+        assert result == expected
+
+        msg = r"unsupported operand type\(s\) for /"
+        with pytest.raises(TypeError, match=msg):
+            interval / interval
+
+        with pytest.raises(TypeError, match=msg):
+            interval / 'foo'
+
+    def test_math_floordiv(self, closed):
+        interval = Interval(1, 2, closed=closed)
+        expected = Interval(0, 1, closed=closed)
+
+        result = interval // 2
+        assert result == expected
+
+        result = interval
+        result //= 2
+        assert result == expected
+
+        msg = r"unsupported operand type\(s\) for //"
+        with pytest.raises(TypeError, match=msg):
+            interval // interval
+
+        with pytest.raises(TypeError, match=msg):
+            interval // 'foo'
+
+    def test_constructor_errors(self):
+        msg = "invalid option for 'closed': foo"
+        with pytest.raises(ValueError, match=msg):
+            Interval(0, 1, closed='foo')
+
+        msg = 'left side of interval must be <= right side'
+        with pytest.raises(ValueError, match=msg):
+            Interval(1, 0)
+
+    @pytest.mark.parametrize('tz_left, tz_right', [
+        (None, 'UTC'), ('UTC', None), ('UTC', 'US/Eastern')])
+    def test_constructor_errors_tz(self, tz_left, tz_right):
+        # GH 18538
+        left = Timestamp('2017-01-01', tz=tz_left)
+        right = Timestamp('2017-01-02', tz=tz_right)
+        error = TypeError if com._any_none(tz_left, tz_right) else ValueError
+        with pytest.raises(error):
+            Interval(left, right)

utils/venv/lib/python3.6/site-packages/pandas/tests/scalar/interval/test_ops.py

@@ -0,0 +1,60 @@
+"""Tests for Interval-Interval operations, such as overlaps, contains, etc."""
+import pytest
+
+from pandas import Interval, Timedelta, Timestamp
+
+
+@pytest.fixture(params=[
+    (Timedelta('0 days'), Timedelta('1 day')),
+    (Timestamp('2018-01-01'), Timedelta('1 day')),
+    (0, 1)], ids=lambda x: type(x[0]).__name__)
+def start_shift(request):
+    """
+    Fixture for generating intervals of types from a start value and a shift
+    value that can be added to start to generate an endpoint
+    """
+    return request.param
+
+
+class TestOverlaps(object):
+
+    def test_overlaps_self(self, start_shift, closed):
+        start, shift = start_shift
+        interval = Interval(start, start + shift, closed)
+        assert interval.overlaps(interval)
+
+    def test_overlaps_nested(self, start_shift, closed, other_closed):
+        start, shift = start_shift
+        interval1 = Interval(start, start + 3 * shift, other_closed)
+        interval2 = Interval(start + shift, start + 2 * shift, closed)
+
+        # nested intervals should always overlap
+        assert interval1.overlaps(interval2)
+
+    def test_overlaps_disjoint(self, start_shift, closed, other_closed):
+        start, shift = start_shift
+        interval1 = Interval(start, start + shift, other_closed)
+        interval2 = Interval(start + 2 * shift, start + 3 * shift, closed)
+
+        # disjoint intervals should never overlap
+        assert not interval1.overlaps(interval2)
+
+    def test_overlaps_endpoint(self, start_shift, closed, other_closed):
+        start, shift = start_shift
+        interval1 = Interval(start, start + shift, other_closed)
+        interval2 = Interval(start + shift, start + 2 * shift, closed)
+
+        # overlap if shared endpoint is closed for both (overlap at a point)
+        result = interval1.overlaps(interval2)
+        expected = interval1.closed_right and interval2.closed_left
+        assert result == expected
+
+    @pytest.mark.parametrize('other', [
+        10, True, 'foo', Timedelta('1 day'), Timestamp('2018-01-01')],
+        ids=lambda x: type(x).__name__)
+    def test_overlaps_invalid_type(self, other):
+        interval = Interval(0, 1)
+        msg = '`other` must be an Interval, got {other}'.format(
+            other=type(other).__name__)
+        with pytest.raises(TypeError, match=msg):
+            interval.overlaps(other)

utils/venv/lib/python3.6/site-packages/pandas/tests/scalar/period/test_asfreq.py

@@ -0,0 +1,747 @@
+import pytest
+
+from pandas._libs.tslibs.frequencies import (
+    INVALID_FREQ_ERR_MSG, _period_code_map)
+from pandas.errors import OutOfBoundsDatetime
+
+from pandas import Period, offsets
+
+
+class TestFreqConversion(object):
+    """Test frequency conversion of date objects"""
+    @pytest.mark.parametrize('freq', ['A', 'Q', 'M', 'W', 'B', 'D'])
+    def test_asfreq_near_zero(self, freq):
+        # GH#19643, GH#19650
+        per = Period('0001-01-01', freq=freq)
+        tup1 = (per.year, per.hour, per.day)
+
+        prev = per - 1
+        assert prev.ordinal == per.ordinal - 1
+        tup2 = (prev.year, prev.month, prev.day)
+        assert tup2 < tup1
+
+    def test_asfreq_near_zero_weekly(self):
+        # GH#19834
+        per1 = Period('0001-01-01', 'D') + 6
+        per2 = Period('0001-01-01', 'D') - 6
+        week1 = per1.asfreq('W')
+        week2 = per2.asfreq('W')
+        assert week1 != week2
+        assert week1.asfreq('D', 'E') >= per1
+        assert week2.asfreq('D', 'S') <= per2
+
+    @pytest.mark.xfail(reason='GH#19643 period_helper asfreq functions fail '
+                              'to check for overflows')
+    def test_to_timestamp_out_of_bounds(self):
+        # GH#19643, currently gives Timestamp('1754-08-30 22:43:41.128654848')
+        per = Period('0001-01-01', freq='B')
+        with pytest.raises(OutOfBoundsDatetime):
+            per.to_timestamp()
+
+    def test_asfreq_corner(self):
+        val = Period(freq='A', year=2007)
+        result1 = val.asfreq('5t')
+        result2 = val.asfreq('t')
+        expected = Period('2007-12-31 23:59', freq='t')
+        assert result1.ordinal == expected.ordinal
+        assert result1.freqstr == '5T'
+        assert result2.ordinal == expected.ordinal
+        assert result2.freqstr == 'T'
+
+    def test_conv_annual(self):
+        # frequency conversion tests: from Annual Frequency
+
+        ival_A = Period(freq='A', year=2007)
+
+        ival_AJAN = Period(freq="A-JAN", year=2007)
+        ival_AJUN = Period(freq="A-JUN", year=2007)
+        ival_ANOV = Period(freq="A-NOV", year=2007)
+
+        ival_A_to_Q_start = Period(freq='Q', year=2007, quarter=1)
+        ival_A_to_Q_end = Period(freq='Q', year=2007, quarter=4)
+        ival_A_to_M_start = Period(freq='M', year=2007, month=1)
+        ival_A_to_M_end = Period(freq='M', year=2007, month=12)
+        ival_A_to_W_start = Period(freq='W', year=2007, month=1, day=1)
+        ival_A_to_W_end = Period(freq='W', year=2007, month=12, day=31)
+        ival_A_to_B_start = Period(freq='B', year=2007, month=1, day=1)
+        ival_A_to_B_end = Period(freq='B', year=2007, month=12, day=31)
+        ival_A_to_D_start = Period(freq='D', year=2007, month=1, day=1)
+        ival_A_to_D_end = Period(freq='D', year=2007, month=12, day=31)
+        ival_A_to_H_start = Period(freq='H', year=2007, month=1, day=1, hour=0)
+        ival_A_to_H_end = Period(freq='H', year=2007, month=12, day=31,
+                                 hour=23)
+        ival_A_to_T_start = Period(freq='Min', year=2007, month=1, day=1,
+                                   hour=0, minute=0)
+        ival_A_to_T_end = Period(freq='Min', year=2007, month=12, day=31,
+                                 hour=23, minute=59)
+        ival_A_to_S_start = Period(freq='S', year=2007, month=1, day=1, hour=0,
+                                   minute=0, second=0)
+        ival_A_to_S_end = Period(freq='S', year=2007, month=12, day=31,
+                                 hour=23, minute=59, second=59)
+
+        ival_AJAN_to_D_end = Period(freq='D', year=2007, month=1, day=31)
+        ival_AJAN_to_D_start = Period(freq='D', year=2006, month=2, day=1)
+        ival_AJUN_to_D_end = Period(freq='D', year=2007, month=6, day=30)
+        ival_AJUN_to_D_start = Period(freq='D', year=2006, month=7, day=1)
+        ival_ANOV_to_D_end = Period(freq='D', year=2007, month=11, day=30)
+        ival_ANOV_to_D_start = Period(freq='D', year=2006, month=12, day=1)
+
+        assert ival_A.asfreq('Q', 'S') == ival_A_to_Q_start
+        assert ival_A.asfreq('Q', 'e') == ival_A_to_Q_end
+        assert ival_A.asfreq('M', 's') == ival_A_to_M_start
+        assert ival_A.asfreq('M', 'E') == ival_A_to_M_end
+        assert ival_A.asfreq('W', 'S') == ival_A_to_W_start
+        assert ival_A.asfreq('W', 'E') == ival_A_to_W_end
+        assert ival_A.asfreq('B', 'S') == ival_A_to_B_start
+        assert ival_A.asfreq('B', 'E') == ival_A_to_B_end
+        assert ival_A.asfreq('D', 'S') == ival_A_to_D_start
+        assert ival_A.asfreq('D', 'E') == ival_A_to_D_end
+        assert ival_A.asfreq('H', 'S') == ival_A_to_H_start
+        assert ival_A.asfreq('H', 'E') == ival_A_to_H_end
+        assert ival_A.asfreq('min', 'S') == ival_A_to_T_start
+        assert ival_A.asfreq('min', 'E') == ival_A_to_T_end
+        assert ival_A.asfreq('T', 'S') == ival_A_to_T_start
+        assert ival_A.asfreq('T', 'E') == ival_A_to_T_end
+        assert ival_A.asfreq('S', 'S') == ival_A_to_S_start
+        assert ival_A.asfreq('S', 'E') == ival_A_to_S_end
+
+        assert ival_AJAN.asfreq('D', 'S') == ival_AJAN_to_D_start
+        assert ival_AJAN.asfreq('D', 'E') == ival_AJAN_to_D_end
+
+        assert ival_AJUN.asfreq('D', 'S') == ival_AJUN_to_D_start
+        assert ival_AJUN.asfreq('D', 'E') == ival_AJUN_to_D_end
+
+        assert ival_ANOV.asfreq('D', 'S') == ival_ANOV_to_D_start
+        assert ival_ANOV.asfreq('D', 'E') == ival_ANOV_to_D_end
+
+        assert ival_A.asfreq('A') == ival_A
+
+    def test_conv_quarterly(self):
+        # frequency conversion tests: from Quarterly Frequency
+
+        ival_Q = Period(freq='Q', year=2007, quarter=1)
+        ival_Q_end_of_year = Period(freq='Q', year=2007, quarter=4)
+
+        ival_QEJAN = Period(freq="Q-JAN", year=2007, quarter=1)
+        ival_QEJUN = Period(freq="Q-JUN", year=2007, quarter=1)
+
+        ival_Q_to_A = Period(freq='A', year=2007)
+        ival_Q_to_M_start = Period(freq='M', year=2007, month=1)
+        ival_Q_to_M_end = Period(freq='M', year=2007, month=3)
+        ival_Q_to_W_start = Period(freq='W', year=2007, month=1, day=1)
+        ival_Q_to_W_end = Period(freq='W', year=2007, month=3, day=31)
+        ival_Q_to_B_start = Period(freq='B', year=2007, month=1, day=1)
+        ival_Q_to_B_end = Period(freq='B', year=2007, month=3, day=30)
+        ival_Q_to_D_start = Period(freq='D', year=2007, month=1, day=1)
+        ival_Q_to_D_end = Period(freq='D', year=2007, month=3, day=31)
+        ival_Q_to_H_start = Period(freq='H', year=2007, month=1, day=1, hour=0)
+        ival_Q_to_H_end = Period(freq='H', year=2007, month=3, day=31, hour=23)
+        ival_Q_to_T_start = Period(freq='Min', year=2007, month=1, day=1,
+                                   hour=0, minute=0)
+        ival_Q_to_T_end = Period(freq='Min', year=2007, month=3, day=31,
+                                 hour=23, minute=59)
+        ival_Q_to_S_start = Period(freq='S', year=2007, month=1, day=1, hour=0,
+                                   minute=0, second=0)
+        ival_Q_to_S_end = Period(freq='S', year=2007, month=3, day=31, hour=23,
+                                 minute=59, second=59)
+
+        ival_QEJAN_to_D_start = Period(freq='D', year=2006, month=2, day=1)
+        ival_QEJAN_to_D_end = Period(freq='D', year=2006, month=4, day=30)
+
+        ival_QEJUN_to_D_start = Period(freq='D', year=2006, month=7, day=1)
+        ival_QEJUN_to_D_end = Period(freq='D', year=2006, month=9, day=30)
+
+        assert ival_Q.asfreq('A') == ival_Q_to_A
+        assert ival_Q_end_of_year.asfreq('A') == ival_Q_to_A
+
+        assert ival_Q.asfreq('M', 'S') == ival_Q_to_M_start
+        assert ival_Q.asfreq('M', 'E') == ival_Q_to_M_end
+        assert ival_Q.asfreq('W', 'S') == ival_Q_to_W_start
+        assert ival_Q.asfreq('W', 'E') == ival_Q_to_W_end
+        assert ival_Q.asfreq('B', 'S') == ival_Q_to_B_start
+        assert ival_Q.asfreq('B', 'E') == ival_Q_to_B_end
+        assert ival_Q.asfreq('D', 'S') == ival_Q_to_D_start
+        assert ival_Q.asfreq('D', 'E') == ival_Q_to_D_end
+        assert ival_Q.asfreq('H', 'S') == ival_Q_to_H_start
+        assert ival_Q.asfreq('H', 'E') == ival_Q_to_H_end
+        assert ival_Q.asfreq('Min', 'S') == ival_Q_to_T_start
+        assert ival_Q.asfreq('Min', 'E') == ival_Q_to_T_end
+        assert ival_Q.asfreq('S', 'S') == ival_Q_to_S_start
+        assert ival_Q.asfreq('S', 'E') == ival_Q_to_S_end
+
+        assert ival_QEJAN.asfreq('D', 'S') == ival_QEJAN_to_D_start
+        assert ival_QEJAN.asfreq('D', 'E') == ival_QEJAN_to_D_end
+        assert ival_QEJUN.asfreq('D', 'S') == ival_QEJUN_to_D_start
+        assert ival_QEJUN.asfreq('D', 'E') == ival_QEJUN_to_D_end
+
+        assert ival_Q.asfreq('Q') == ival_Q
+
+    def test_conv_monthly(self):
+        # frequency conversion tests: from Monthly Frequency
+
+        ival_M = Period(freq='M', year=2007, month=1)
+        ival_M_end_of_year = Period(freq='M', year=2007, month=12)
+        ival_M_end_of_quarter = Period(freq='M', year=2007, month=3)
+        ival_M_to_A = Period(freq='A', year=2007)
+        ival_M_to_Q = Period(freq='Q', year=2007, quarter=1)
+        ival_M_to_W_start = Period(freq='W', year=2007, month=1, day=1)
+        ival_M_to_W_end = Period(freq='W', year=2007, month=1, day=31)
+        ival_M_to_B_start = Period(freq='B', year=2007, month=1, day=1)
+        ival_M_to_B_end = Period(freq='B', year=2007, month=1, day=31)
+        ival_M_to_D_start = Period(freq='D', year=2007, month=1, day=1)
+        ival_M_to_D_end = Period(freq='D', year=2007, month=1, day=31)
+        ival_M_to_H_start = Period(freq='H', year=2007, month=1, day=1, hour=0)
+        ival_M_to_H_end = Period(freq='H', year=2007, month=1, day=31, hour=23)
+        ival_M_to_T_start = Period(freq='Min', year=2007, month=1, day=1,
+                                   hour=0, minute=0)
+        ival_M_to_T_end = Period(freq='Min', year=2007, month=1, day=31,
+                                 hour=23, minute=59)
+        ival_M_to_S_start = Period(freq='S', year=2007, month=1, day=1, hour=0,
+                                   minute=0, second=0)
+        ival_M_to_S_end = Period(freq='S', year=2007, month=1, day=31, hour=23,
+                                 minute=59, second=59)
+
+        assert ival_M.asfreq('A') == ival_M_to_A
+        assert ival_M_end_of_year.asfreq('A') == ival_M_to_A
+        assert ival_M.asfreq('Q') == ival_M_to_Q
+        assert ival_M_end_of_quarter.asfreq('Q') == ival_M_to_Q
+
+        assert ival_M.asfreq('W', 'S') == ival_M_to_W_start
+        assert ival_M.asfreq('W', 'E') == ival_M_to_W_end
+        assert ival_M.asfreq('B', 'S') == ival_M_to_B_start
+        assert ival_M.asfreq('B', 'E') == ival_M_to_B_end
+        assert ival_M.asfreq('D', 'S') == ival_M_to_D_start
+        assert ival_M.asfreq('D', 'E') == ival_M_to_D_end
+        assert ival_M.asfreq('H', 'S') == ival_M_to_H_start
+        assert ival_M.asfreq('H', 'E') == ival_M_to_H_end
+        assert ival_M.asfreq('Min', 'S') == ival_M_to_T_start
+        assert ival_M.asfreq('Min', 'E') == ival_M_to_T_end
+        assert ival_M.asfreq('S', 'S') == ival_M_to_S_start
+        assert ival_M.asfreq('S', 'E') == ival_M_to_S_end
+
+        assert ival_M.asfreq('M') == ival_M
+
+    def test_conv_weekly(self):
+        # frequency conversion tests: from Weekly Frequency
+        ival_W = Period(freq='W', year=2007, month=1, day=1)
+
+        ival_WSUN = Period(freq='W', year=2007, month=1, day=7)
+        ival_WSAT = Period(freq='W-SAT', year=2007, month=1, day=6)
+        ival_WFRI = Period(freq='W-FRI', year=2007, month=1, day=5)
+        ival_WTHU = Period(freq='W-THU', year=2007, month=1, day=4)
+        ival_WWED = Period(freq='W-WED', year=2007, month=1, day=3)
+        ival_WTUE = Period(freq='W-TUE', year=2007, month=1, day=2)
+        ival_WMON = Period(freq='W-MON', year=2007, month=1, day=1)
+
+        ival_WSUN_to_D_start = Period(freq='D', year=2007, month=1, day=1)
+        ival_WSUN_to_D_end = Period(freq='D', year=2007, month=1, day=7)
+        ival_WSAT_to_D_start = Period(freq='D', year=2006, month=12, day=31)
+        ival_WSAT_to_D_end = Period(freq='D', year=2007, month=1, day=6)
+        ival_WFRI_to_D_start = Period(freq='D', year=2006, month=12, day=30)
+        ival_WFRI_to_D_end = Period(freq='D', year=2007, month=1, day=5)
+        ival_WTHU_to_D_start = Period(freq='D', year=2006, month=12, day=29)
+        ival_WTHU_to_D_end = Period(freq='D', year=2007, month=1, day=4)
+        ival_WWED_to_D_start = Period(freq='D', year=2006, month=12, day=28)
+        ival_WWED_to_D_end = Period(freq='D', year=2007, month=1, day=3)
+        ival_WTUE_to_D_start = Period(freq='D', year=2006, month=12, day=27)
+        ival_WTUE_to_D_end = Period(freq='D', year=2007, month=1, day=2)
+        ival_WMON_to_D_start = Period(freq='D', year=2006, month=12, day=26)
+        ival_WMON_to_D_end = Period(freq='D', year=2007, month=1, day=1)
+
+        ival_W_end_of_year = Period(freq='W', year=2007, month=12, day=31)
+        ival_W_end_of_quarter = Period(freq='W', year=2007, month=3, day=31)
+        ival_W_end_of_month = Period(freq='W', year=2007, month=1, day=31)
+        ival_W_to_A = Period(freq='A', year=2007)
+        ival_W_to_Q = Period(freq='Q', year=2007, quarter=1)
+        ival_W_to_M = Period(freq='M', year=2007, month=1)
+
+        if Period(freq='D', year=2007, month=12, day=31).weekday == 6:
+            ival_W_to_A_end_of_year = Period(freq='A', year=2007)
+        else:
+            ival_W_to_A_end_of_year = Period(freq='A', year=2008)
+
+        if Period(freq='D', year=2007, month=3, day=31).weekday == 6:
+            ival_W_to_Q_end_of_quarter = Period(freq='Q', year=2007, quarter=1)
+        else:
+            ival_W_to_Q_end_of_quarter = Period(freq='Q', year=2007, quarter=2)
+
+        if Period(freq='D', year=2007, month=1, day=31).weekday == 6:
+            ival_W_to_M_end_of_month = Period(freq='M', year=2007, month=1)
+        else:
+            ival_W_to_M_end_of_month = Period(freq='M', year=2007, month=2)
+
+        ival_W_to_B_start = Period(freq='B', year=2007, month=1, day=1)
+        ival_W_to_B_end = Period(freq='B', year=2007, month=1, day=5)
+        ival_W_to_D_start = Period(freq='D', year=2007, month=1, day=1)
+        ival_W_to_D_end = Period(freq='D', year=2007, month=1, day=7)
+        ival_W_to_H_start = Period(freq='H', year=2007, month=1, day=1, hour=0)
+        ival_W_to_H_end = Period(freq='H', year=2007, month=1, day=7, hour=23)
+        ival_W_to_T_start = Period(freq='Min', year=2007, month=1, day=1,
+                                   hour=0, minute=0)
+        ival_W_to_T_end = Period(freq='Min', year=2007, month=1, day=7,
+                                 hour=23, minute=59)
+        ival_W_to_S_start = Period(freq='S', year=2007, month=1, day=1, hour=0,
+                                   minute=0, second=0)
+        ival_W_to_S_end = Period(freq='S', year=2007, month=1, day=7, hour=23,
+                                 minute=59, second=59)
+
+        assert ival_W.asfreq('A') == ival_W_to_A
+        assert ival_W_end_of_year.asfreq('A') == ival_W_to_A_end_of_year
+
+        assert ival_W.asfreq('Q') == ival_W_to_Q
+        assert ival_W_end_of_quarter.asfreq('Q') == ival_W_to_Q_end_of_quarter
+
+        assert ival_W.asfreq('M') == ival_W_to_M
+        assert ival_W_end_of_month.asfreq('M') == ival_W_to_M_end_of_month
+
+        assert ival_W.asfreq('B', 'S') == ival_W_to_B_start
+        assert ival_W.asfreq('B', 'E') == ival_W_to_B_end
+
+        assert ival_W.asfreq('D', 'S') == ival_W_to_D_start
+        assert ival_W.asfreq('D', 'E') == ival_W_to_D_end
+
+        assert ival_WSUN.asfreq('D', 'S') == ival_WSUN_to_D_start
+        assert ival_WSUN.asfreq('D', 'E') == ival_WSUN_to_D_end
+        assert ival_WSAT.asfreq('D', 'S') == ival_WSAT_to_D_start
+        assert ival_WSAT.asfreq('D', 'E') == ival_WSAT_to_D_end
+        assert ival_WFRI.asfreq('D', 'S') == ival_WFRI_to_D_start
+        assert ival_WFRI.asfreq('D', 'E') == ival_WFRI_to_D_end
+        assert ival_WTHU.asfreq('D', 'S') == ival_WTHU_to_D_start
+        assert ival_WTHU.asfreq('D', 'E') == ival_WTHU_to_D_end
+        assert ival_WWED.asfreq('D', 'S') == ival_WWED_to_D_start
+        assert ival_WWED.asfreq('D', 'E') == ival_WWED_to_D_end
+        assert ival_WTUE.asfreq('D', 'S') == ival_WTUE_to_D_start
+        assert ival_WTUE.asfreq('D', 'E') == ival_WTUE_to_D_end
+        assert ival_WMON.asfreq('D', 'S') == ival_WMON_to_D_start
+        assert ival_WMON.asfreq('D', 'E') == ival_WMON_to_D_end
+
+        assert ival_W.asfreq('H', 'S') == ival_W_to_H_start
+        assert ival_W.asfreq('H', 'E') == ival_W_to_H_end
+        assert ival_W.asfreq('Min', 'S') == ival_W_to_T_start
+        assert ival_W.asfreq('Min', 'E') == ival_W_to_T_end
+        assert ival_W.asfreq('S', 'S') == ival_W_to_S_start
+        assert ival_W.asfreq('S', 'E') == ival_W_to_S_end
+
+        assert ival_W.asfreq('W') == ival_W
+
+        msg = INVALID_FREQ_ERR_MSG
+        with pytest.raises(ValueError, match=msg):
+            ival_W.asfreq('WK')
+
+    def test_conv_weekly_legacy(self):
+        # frequency conversion tests: from Weekly Frequency
+        msg = INVALID_FREQ_ERR_MSG
+        with pytest.raises(ValueError, match=msg):
+            Period(freq='WK', year=2007, month=1, day=1)
+
+        with pytest.raises(ValueError, match=msg):
+            Period(freq='WK-SAT', year=2007, month=1, day=6)
+        with pytest.raises(ValueError, match=msg):
+            Period(freq='WK-FRI', year=2007, month=1, day=5)
+        with pytest.raises(ValueError, match=msg):
+            Period(freq='WK-THU', year=2007, month=1, day=4)
+        with pytest.raises(ValueError, match=msg):
+            Period(freq='WK-WED', year=2007, month=1, day=3)
+        with pytest.raises(ValueError, match=msg):
+            Period(freq='WK-TUE', year=2007, month=1, day=2)
+        with pytest.raises(ValueError, match=msg):
+            Period(freq='WK-MON', year=2007, month=1, day=1)
+
+    def test_conv_business(self):
+        # frequency conversion tests: from Business Frequency"
+
+        ival_B = Period(freq='B', year=2007, month=1, day=1)
+        ival_B_end_of_year = Period(freq='B', year=2007, month=12, day=31)
+        ival_B_end_of_quarter = Period(freq='B', year=2007, month=3, day=30)
+        ival_B_end_of_month = Period(freq='B', year=2007, month=1, day=31)
+        ival_B_end_of_week = Period(freq='B', year=2007, month=1, day=5)
+
+        ival_B_to_A = Period(freq='A', year=2007)
+        ival_B_to_Q = Period(freq='Q', year=2007, quarter=1)
+        ival_B_to_M = Period(freq='M', year=2007, month=1)
+        ival_B_to_W = Period(freq='W', year=2007, month=1, day=7)
+        ival_B_to_D = Period(freq='D', year=2007, month=1, day=1)
+        ival_B_to_H_start = Period(freq='H', year=2007, month=1, day=1, hour=0)
+        ival_B_to_H_end = Period(freq='H', year=2007, month=1, day=1, hour=23)
+        ival_B_to_T_start = Period(freq='Min', year=2007, month=1, day=1,
+                                   hour=0, minute=0)
+        ival_B_to_T_end = Period(freq='Min', year=2007, month=1, day=1,
+                                 hour=23, minute=59)
+        ival_B_to_S_start = Period(freq='S', year=2007, month=1, day=1, hour=0,
+                                   minute=0, second=0)
+        ival_B_to_S_end = Period(freq='S', year=2007, month=1, day=1, hour=23,
+                                 minute=59, second=59)
+
+        assert ival_B.asfreq('A') == ival_B_to_A
+        assert ival_B_end_of_year.asfreq('A') == ival_B_to_A
+        assert ival_B.asfreq('Q') == ival_B_to_Q
+        assert ival_B_end_of_quarter.asfreq('Q') == ival_B_to_Q
+        assert ival_B.asfreq('M') == ival_B_to_M
+        assert ival_B_end_of_month.asfreq('M') == ival_B_to_M
+        assert ival_B.asfreq('W') == ival_B_to_W
+        assert ival_B_end_of_week.asfreq('W') == ival_B_to_W
+
+        assert ival_B.asfreq('D') == ival_B_to_D
+
+        assert ival_B.asfreq('H', 'S') == ival_B_to_H_start
+        assert ival_B.asfreq('H', 'E') == ival_B_to_H_end
+        assert ival_B.asfreq('Min', 'S') == ival_B_to_T_start
+        assert ival_B.asfreq('Min', 'E') == ival_B_to_T_end
+        assert ival_B.asfreq('S', 'S') == ival_B_to_S_start
+        assert ival_B.asfreq('S', 'E') == ival_B_to_S_end
+
+        assert ival_B.asfreq('B') == ival_B
+
+    def test_conv_daily(self):
+        # frequency conversion tests: from Business Frequency"
+
+        ival_D = Period(freq='D', year=2007, month=1, day=1)
+        ival_D_end_of_year = Period(freq='D', year=2007, month=12, day=31)
+        ival_D_end_of_quarter = Period(freq='D', year=2007, month=3, day=31)
+        ival_D_end_of_month = Period(freq='D', year=2007, month=1, day=31)
+        ival_D_end_of_week = Period(freq='D', year=2007, month=1, day=7)
+
+        ival_D_friday = Period(freq='D', year=2007, month=1, day=5)
+        ival_D_saturday = Period(freq='D', year=2007, month=1, day=6)
+        ival_D_sunday = Period(freq='D', year=2007, month=1, day=7)
+
+        # TODO: unused?
+        # ival_D_monday = Period(freq='D', year=2007, month=1, day=8)
+
+        ival_B_friday = Period(freq='B', year=2007, month=1, day=5)
+        ival_B_monday = Period(freq='B', year=2007, month=1, day=8)
+
+        ival_D_to_A = Period(freq='A', year=2007)
+
+        ival_Deoq_to_AJAN = Period(freq='A-JAN', year=2008)
+        ival_Deoq_to_AJUN = Period(freq='A-JUN', year=2007)
+        ival_Deoq_to_ADEC = Period(freq='A-DEC', year=2007)
+
+        ival_D_to_QEJAN = Period(freq="Q-JAN", year=2007, quarter=4)
+        ival_D_to_QEJUN = Period(freq="Q-JUN", year=2007, quarter=3)
+        ival_D_to_QEDEC = Period(freq="Q-DEC", year=2007, quarter=1)
+
+        ival_D_to_M = Period(freq='M', year=2007, month=1)
+        ival_D_to_W = Period(freq='W', year=2007, month=1, day=7)
+
+        ival_D_to_H_start = Period(freq='H', year=2007, month=1, day=1, hour=0)
+        ival_D_to_H_end = Period(freq='H', year=2007, month=1, day=1, hour=23)
+        ival_D_to_T_start = Period(freq='Min', year=2007, month=1, day=1,
+                                   hour=0, minute=0)
+        ival_D_to_T_end = Period(freq='Min', year=2007, month=1, day=1,
+                                 hour=23, minute=59)
+        ival_D_to_S_start = Period(freq='S', year=2007, month=1, day=1, hour=0,
+                                   minute=0, second=0)
+        ival_D_to_S_end = Period(freq='S', year=2007, month=1, day=1, hour=23,
+                                 minute=59, second=59)
+
+        assert ival_D.asfreq('A') == ival_D_to_A
+
+        assert ival_D_end_of_quarter.asfreq('A-JAN') == ival_Deoq_to_AJAN
+        assert ival_D_end_of_quarter.asfreq('A-JUN') == ival_Deoq_to_AJUN
+        assert ival_D_end_of_quarter.asfreq('A-DEC') == ival_Deoq_to_ADEC
+
+        assert ival_D_end_of_year.asfreq('A') == ival_D_to_A
+        assert ival_D_end_of_quarter.asfreq('Q') == ival_D_to_QEDEC
+        assert ival_D.asfreq("Q-JAN") == ival_D_to_QEJAN
+        assert ival_D.asfreq("Q-JUN") == ival_D_to_QEJUN
+        assert ival_D.asfreq("Q-DEC") == ival_D_to_QEDEC
+        assert ival_D.asfreq('M') == ival_D_to_M
+        assert ival_D_end_of_month.asfreq('M') == ival_D_to_M
+        assert ival_D.asfreq('W') == ival_D_to_W
+        assert ival_D_end_of_week.asfreq('W') == ival_D_to_W
+
+        assert ival_D_friday.asfreq('B') == ival_B_friday
+        assert ival_D_saturday.asfreq('B', 'S') == ival_B_friday
+        assert ival_D_saturday.asfreq('B', 'E') == ival_B_monday
+        assert ival_D_sunday.asfreq('B', 'S') == ival_B_friday
+        assert ival_D_sunday.asfreq('B', 'E') == ival_B_monday
+
+        assert ival_D.asfreq('H', 'S') == ival_D_to_H_start
+        assert ival_D.asfreq('H', 'E') == ival_D_to_H_end
+        assert ival_D.asfreq('Min', 'S') == ival_D_to_T_start
+        assert ival_D.asfreq('Min', 'E') == ival_D_to_T_end
+        assert ival_D.asfreq('S', 'S') == ival_D_to_S_start
+        assert ival_D.asfreq('S', 'E') == ival_D_to_S_end
+
+        assert ival_D.asfreq('D') == ival_D
+
+    def test_conv_hourly(self):
+        # frequency conversion tests: from Hourly Frequency"
+
+        ival_H = Period(freq='H', year=2007, month=1, day=1, hour=0)
+        ival_H_end_of_year = Period(freq='H', year=2007, month=12, day=31,
+                                    hour=23)
+        ival_H_end_of_quarter = Period(freq='H', year=2007, month=3, day=31,
+                                       hour=23)
+        ival_H_end_of_month = Period(freq='H', year=2007, month=1, day=31,
+                                     hour=23)
+        ival_H_end_of_week = Period(freq='H', year=2007, month=1, day=7,
+                                    hour=23)
+        ival_H_end_of_day = Period(freq='H', year=2007, month=1, day=1,
+                                   hour=23)
+        ival_H_end_of_bus = Period(freq='H', year=2007, month=1, day=1,
+                                   hour=23)
+
+        ival_H_to_A = Period(freq='A', year=2007)
+        ival_H_to_Q = Period(freq='Q', year=2007, quarter=1)
+        ival_H_to_M = Period(freq='M', year=2007, month=1)
+        ival_H_to_W = Period(freq='W', year=2007, month=1, day=7)
+        ival_H_to_D = Period(freq='D', year=2007, month=1, day=1)
+        ival_H_to_B = Period(freq='B', year=2007, month=1, day=1)
+
+        ival_H_to_T_start = Period(freq='Min', year=2007, month=1, day=1,
+                                   hour=0, minute=0)
+        ival_H_to_T_end = Period(freq='Min', year=2007, month=1, day=1, hour=0,
+                                 minute=59)
+        ival_H_to_S_start = Period(freq='S', year=2007, month=1, day=1, hour=0,
+                                   minute=0, second=0)
+        ival_H_to_S_end = Period(freq='S', year=2007, month=1, day=1, hour=0,
+                                 minute=59, second=59)
+
+        assert ival_H.asfreq('A') == ival_H_to_A
+        assert ival_H_end_of_year.asfreq('A') == ival_H_to_A
+        assert ival_H.asfreq('Q') == ival_H_to_Q
+        assert ival_H_end_of_quarter.asfreq('Q') == ival_H_to_Q
+        assert ival_H.asfreq('M') == ival_H_to_M
+        assert ival_H_end_of_month.asfreq('M') == ival_H_to_M
+        assert ival_H.asfreq('W') == ival_H_to_W
+        assert ival_H_end_of_week.asfreq('W') == ival_H_to_W
+        assert ival_H.asfreq('D') == ival_H_to_D
+        assert ival_H_end_of_day.asfreq('D') == ival_H_to_D
+        assert ival_H.asfreq('B') == ival_H_to_B
+        assert ival_H_end_of_bus.asfreq('B') == ival_H_to_B
+
+        assert ival_H.asfreq('Min', 'S') == ival_H_to_T_start
+        assert ival_H.asfreq('Min', 'E') == ival_H_to_T_end
+        assert ival_H.asfreq('S', 'S') == ival_H_to_S_start
+        assert ival_H.asfreq('S', 'E') == ival_H_to_S_end
+
+        assert ival_H.asfreq('H') == ival_H
+
+    def test_conv_minutely(self):
+        # frequency conversion tests: from Minutely Frequency"
+
+        ival_T = Period(freq='Min', year=2007, month=1, day=1, hour=0,
+                        minute=0)
+        ival_T_end_of_year = Period(freq='Min', year=2007, month=12, day=31,
+                                    hour=23, minute=59)
+        ival_T_end_of_quarter = Period(freq='Min', year=2007, month=3, day=31,
+                                       hour=23, minute=59)
+        ival_T_end_of_month = Period(freq='Min', year=2007, month=1, day=31,
+                                     hour=23, minute=59)
+        ival_T_end_of_week = Period(freq='Min', year=2007, month=1, day=7,
+                                    hour=23, minute=59)
+        ival_T_end_of_day = Period(freq='Min', year=2007, month=1, day=1,
+                                   hour=23, minute=59)
+        ival_T_end_of_bus = Period(freq='Min', year=2007, month=1, day=1,
+                                   hour=23, minute=59)
+        ival_T_end_of_hour = Period(freq='Min', year=2007, month=1, day=1,
+                                    hour=0, minute=59)
+
+        ival_T_to_A = Period(freq='A', year=2007)
+        ival_T_to_Q = Period(freq='Q', year=2007, quarter=1)
+        ival_T_to_M = Period(freq='M', year=2007, month=1)
+        ival_T_to_W = Period(freq='W', year=2007, month=1, day=7)
+        ival_T_to_D = Period(freq='D', year=2007, month=1, day=1)
+        ival_T_to_B = Period(freq='B', year=2007, month=1, day=1)
+        ival_T_to_H = Period(freq='H', year=2007, month=1, day=1, hour=0)
+
+        ival_T_to_S_start = Period(freq='S', year=2007, month=1, day=1, hour=0,
+                                   minute=0, second=0)
+        ival_T_to_S_end = Period(freq='S', year=2007, month=1, day=1, hour=0,
+                                 minute=0, second=59)
+
+        assert ival_T.asfreq('A') == ival_T_to_A
+        assert ival_T_end_of_year.asfreq('A') == ival_T_to_A
+        assert ival_T.asfreq('Q') == ival_T_to_Q
+        assert ival_T_end_of_quarter.asfreq('Q') == ival_T_to_Q
+        assert ival_T.asfreq('M') == ival_T_to_M
+        assert ival_T_end_of_month.asfreq('M') == ival_T_to_M
+        assert ival_T.asfreq('W') == ival_T_to_W
+        assert ival_T_end_of_week.asfreq('W') == ival_T_to_W
+        assert ival_T.asfreq('D') == ival_T_to_D
+        assert ival_T_end_of_day.asfreq('D') == ival_T_to_D
+        assert ival_T.asfreq('B') == ival_T_to_B
+        assert ival_T_end_of_bus.asfreq('B') == ival_T_to_B
+        assert ival_T.asfreq('H') == ival_T_to_H
+        assert ival_T_end_of_hour.asfreq('H') == ival_T_to_H
+
+        assert ival_T.asfreq('S', 'S') == ival_T_to_S_start
+        assert ival_T.asfreq('S', 'E') == ival_T_to_S_end
+
+        assert ival_T.asfreq('Min') == ival_T
+
+    def test_conv_secondly(self):
+        # frequency conversion tests: from Secondly Frequency"
+
+        ival_S = Period(freq='S', year=2007, month=1, day=1, hour=0, minute=0,
+                        second=0)
+        ival_S_end_of_year = Period(freq='S', year=2007, month=12, day=31,
+                                    hour=23, minute=59, second=59)
+        ival_S_end_of_quarter = Period(freq='S', year=2007, month=3, day=31,
+                                       hour=23, minute=59, second=59)
+        ival_S_end_of_month = Period(freq='S', year=2007, month=1, day=31,
+                                     hour=23, minute=59, second=59)
+        ival_S_end_of_week = Period(freq='S', year=2007, month=1, day=7,
+                                    hour=23, minute=59, second=59)
+        ival_S_end_of_day = Period(freq='S', year=2007, month=1, day=1,
+                                   hour=23, minute=59, second=59)
+        ival_S_end_of_bus = Period(freq='S', year=2007, month=1, day=1,
+                                   hour=23, minute=59, second=59)
+        ival_S_end_of_hour = Period(freq='S', year=2007, month=1, day=1,
+                                    hour=0, minute=59, second=59)
+        ival_S_end_of_minute = Period(freq='S', year=2007, month=1, day=1,
+                                      hour=0, minute=0, second=59)
+
+        ival_S_to_A = Period(freq='A', year=2007)
+        ival_S_to_Q = Period(freq='Q', year=2007, quarter=1)
+        ival_S_to_M = Period(freq='M', year=2007, month=1)
+        ival_S_to_W = Period(freq='W', year=2007, month=1, day=7)
+        ival_S_to_D = Period(freq='D', year=2007, month=1, day=1)
+        ival_S_to_B = Period(freq='B', year=2007, month=1, day=1)
+        ival_S_to_H = Period(freq='H', year=2007, month=1, day=1, hour=0)
+        ival_S_to_T = Period(freq='Min', year=2007, month=1, day=1, hour=0,
+                             minute=0)
+
+        assert ival_S.asfreq('A') == ival_S_to_A
+        assert ival_S_end_of_year.asfreq('A') == ival_S_to_A
+        assert ival_S.asfreq('Q') == ival_S_to_Q
+        assert ival_S_end_of_quarter.asfreq('Q') == ival_S_to_Q
+        assert ival_S.asfreq('M') == ival_S_to_M
+        assert ival_S_end_of_month.asfreq('M') == ival_S_to_M
+        assert ival_S.asfreq('W') == ival_S_to_W
+        assert ival_S_end_of_week.asfreq('W') == ival_S_to_W
+        assert ival_S.asfreq('D') == ival_S_to_D
+        assert ival_S_end_of_day.asfreq('D') == ival_S_to_D
+        assert ival_S.asfreq('B') == ival_S_to_B
+        assert ival_S_end_of_bus.asfreq('B') == ival_S_to_B
+        assert ival_S.asfreq('H') == ival_S_to_H
+        assert ival_S_end_of_hour.asfreq('H') == ival_S_to_H
+        assert ival_S.asfreq('Min') == ival_S_to_T
+        assert ival_S_end_of_minute.asfreq('Min') == ival_S_to_T
+
+        assert ival_S.asfreq('S') == ival_S
+
+    def test_asfreq_mult(self):
+        # normal freq to mult freq
+        p = Period(freq='A', year=2007)
+        # ordinal will not change
+        for freq in ['3A', offsets.YearEnd(3)]:
+            result = p.asfreq(freq)
+            expected = Period('2007', freq='3A')
+
+            assert result == expected
+            assert result.ordinal == expected.ordinal
+            assert result.freq == expected.freq
+        # ordinal will not change
+        for freq in ['3A', offsets.YearEnd(3)]:
+            result = p.asfreq(freq, how='S')
+            expected = Period('2007', freq='3A')
+
+            assert result == expected
+            assert result.ordinal == expected.ordinal
+            assert result.freq == expected.freq
+
+        # mult freq to normal freq
+        p = Period(freq='3A', year=2007)
+        # ordinal will change because how=E is the default
+        for freq in ['A', offsets.YearEnd()]:
+            result = p.asfreq(freq)
+            expected = Period('2009', freq='A')
+
+            assert result == expected
+            assert result.ordinal == expected.ordinal
+            assert result.freq == expected.freq
+        # ordinal will not change
+        for freq in ['A', offsets.YearEnd()]:
+            result = p.asfreq(freq, how='S')
+            expected = Period('2007', freq='A')
+
+            assert result == expected
+            assert result.ordinal == expected.ordinal
+            assert result.freq == expected.freq
+
+        p = Period(freq='A', year=2007)
+        for freq in ['2M', offsets.MonthEnd(2)]:
+            result = p.asfreq(freq)
+            expected = Period('2007-12', freq='2M')
+
+            assert result == expected
+            assert result.ordinal == expected.ordinal
+            assert result.freq == expected.freq
+        for freq in ['2M', offsets.MonthEnd(2)]:
+            result = p.asfreq(freq, how='S')
+            expected = Period('2007-01', freq='2M')
+
+            assert result == expected
+            assert result.ordinal == expected.ordinal
+            assert result.freq == expected.freq
+
+        p = Period(freq='3A', year=2007)
+        for freq in ['2M', offsets.MonthEnd(2)]:
+            result = p.asfreq(freq)
+            expected = Period('2009-12', freq='2M')
+
+            assert result == expected
+            assert result.ordinal == expected.ordinal
+            assert result.freq == expected.freq
+        for freq in ['2M', offsets.MonthEnd(2)]:
+            result = p.asfreq(freq, how='S')
+            expected = Period('2007-01', freq='2M')
+
+            assert result == expected
+            assert result.ordinal == expected.ordinal
+            assert result.freq == expected.freq
+
+    def test_asfreq_combined(self):
+        # normal freq to combined freq
+        p = Period('2007', freq='H')
+
+        # ordinal will not change
+        expected = Period('2007', freq='25H')
+        for freq, how in zip(['1D1H', '1H1D'], ['E', 'S']):
+            result = p.asfreq(freq, how=how)
+            assert result == expected
+            assert result.ordinal == expected.ordinal
+            assert result.freq == expected.freq
+
+        # combined freq to normal freq
+        p1 = Period(freq='1D1H', year=2007)
+        p2 = Period(freq='1H1D', year=2007)
+
+        # ordinal will change because how=E is the default
+        result1 = p1.asfreq('H')
+        result2 = p2.asfreq('H')
+        expected = Period('2007-01-02', freq='H')
+        assert result1 == expected
+        assert result1.ordinal == expected.ordinal
+        assert result1.freq == expected.freq
+        assert result2 == expected
+        assert result2.ordinal == expected.ordinal
+        assert result2.freq == expected.freq
+
+        # ordinal will not change
+        result1 = p1.asfreq('H', how='S')
+        result2 = p2.asfreq('H', how='S')
+        expected = Period('2007-01-01', freq='H')
+        assert result1 == expected
+        assert result1.ordinal == expected.ordinal
+        assert result1.freq == expected.freq
+        assert result2 == expected
+        assert result2.ordinal == expected.ordinal
+        assert result2.freq == expected.freq
+
+    def test_asfreq_MS(self):
+        initial = Period("2013")
+
+        assert initial.asfreq(freq="M", how="S") == Period('2013-01', 'M')
+
+        msg = INVALID_FREQ_ERR_MSG
+        with pytest.raises(ValueError, match=msg):
+            initial.asfreq(freq="MS", how="S")
+
+        with pytest.raises(ValueError, match=msg):
+            Period('2013-01', 'MS')
+
+        assert _period_code_map.get("MS") is None

utils/venv/lib/python3.6/site-packages/pandas/tests/scalar/test_nat.py

@@ -0,0 +1,341 @@
+from datetime import datetime, timedelta
+
+import numpy as np
+import pytest
+import pytz
+
+from pandas._libs.tslibs import iNaT
+import pandas.compat as compat
+
+from pandas import (
+    DatetimeIndex, Index, NaT, Period, Series, Timedelta, TimedeltaIndex,
+    Timestamp)
+from pandas.core.arrays import PeriodArray
+from pandas.util import testing as tm
+
+
+@pytest.mark.parametrize("nat,idx", [(Timestamp("NaT"), DatetimeIndex),
+                                     (Timedelta("NaT"), TimedeltaIndex),
+                                     (Period("NaT", freq="M"), PeriodArray)])
+def test_nat_fields(nat, idx):
+
+    for field in idx._field_ops:
+        # weekday is a property of DTI, but a method
+        # on NaT/Timestamp for compat with datetime
+        if field == "weekday":
+            continue
+
+        result = getattr(NaT, field)
+        assert np.isnan(result)
+
+        result = getattr(nat, field)
+        assert np.isnan(result)
+
+    for field in idx._bool_ops:
+
+        result = getattr(NaT, field)
+        assert result is False
+
+        result = getattr(nat, field)
+        assert result is False
+
+
+def test_nat_vector_field_access():
+    idx = DatetimeIndex(["1/1/2000", None, None, "1/4/2000"])
+
+    for field in DatetimeIndex._field_ops:
+        # weekday is a property of DTI, but a method
+        # on NaT/Timestamp for compat with datetime
+        if field == "weekday":
+            continue
+
+        result = getattr(idx, field)
+        expected = Index([getattr(x, field) for x in idx])
+        tm.assert_index_equal(result, expected)
+
+    ser = Series(idx)
+
+    for field in DatetimeIndex._field_ops:
+        # weekday is a property of DTI, but a method
+        # on NaT/Timestamp for compat with datetime
+        if field == "weekday":
+            continue
+
+        result = getattr(ser.dt, field)
+        expected = [getattr(x, field) for x in idx]
+        tm.assert_series_equal(result, Series(expected))
+
+    for field in DatetimeIndex._bool_ops:
+        result = getattr(ser.dt, field)
+        expected = [getattr(x, field) for x in idx]
+        tm.assert_series_equal(result, Series(expected))
+
+
+@pytest.mark.parametrize("klass", [Timestamp, Timedelta, Period])
+@pytest.mark.parametrize("value", [None, np.nan, iNaT, float("nan"),
+                                   NaT, "NaT", "nat"])
+def test_identity(klass, value):
+    assert klass(value) is NaT
+
+
+@pytest.mark.parametrize("klass", [Timestamp, Timedelta, Period])
+@pytest.mark.parametrize("value", ["", "nat", "NAT", None, np.nan])
+def test_equality(klass, value):
+    if klass is Period and value == "":
+        pytest.skip("Period cannot parse empty string")
+
+    assert klass(value).value == iNaT
+
+
+@pytest.mark.parametrize("klass", [Timestamp, Timedelta])
+@pytest.mark.parametrize("method", ["round", "floor", "ceil"])
+@pytest.mark.parametrize("freq", ["s", "5s", "min", "5min", "h", "5h"])
+def test_round_nat(klass, method, freq):
+    # see gh-14940
+    ts = klass("nat")
+
+    round_method = getattr(ts, method)
+    assert round_method(freq) is ts
+
+
+@pytest.mark.parametrize("method", [
+    "astimezone", "combine", "ctime", "dst", "fromordinal",
+    "fromtimestamp", "isocalendar", "strftime", "strptime",
+    "time", "timestamp", "timetuple", "timetz", "toordinal",
+    "tzname", "utcfromtimestamp", "utcnow", "utcoffset",
+    "utctimetuple", "timestamp"
+])
+def test_nat_methods_raise(method):
+    # see gh-9513, gh-17329
+    msg = "NaTType does not support {method}".format(method=method)
+
+    with pytest.raises(ValueError, match=msg):
+        getattr(NaT, method)()
+
+
+@pytest.mark.parametrize("method", [
+    "weekday", "isoweekday"
+])
+def test_nat_methods_nan(method):
+    # see gh-9513, gh-17329
+    assert np.isnan(getattr(NaT, method)())
+
+
+@pytest.mark.parametrize("method", [
+    "date", "now", "replace", "today",
+    "tz_convert", "tz_localize"
+])
+def test_nat_methods_nat(method):
+    # see gh-8254, gh-9513, gh-17329
+    assert getattr(NaT, method)() is NaT
+
+
+@pytest.mark.parametrize("get_nat", [
+    lambda x: NaT,
+    lambda x: Timedelta(x),
+    lambda x: Timestamp(x)
+])
+def test_nat_iso_format(get_nat):
+    # see gh-12300
+    assert get_nat("NaT").isoformat() == "NaT"
+
+
+@pytest.mark.parametrize("klass,expected", [
+    (Timestamp, ["freqstr", "normalize", "to_julian_date", "to_period", "tz"]),
+    (Timedelta, ["components", "delta", "is_populated", "to_pytimedelta",
+                 "to_timedelta64", "view"])
+])
+def test_missing_public_nat_methods(klass, expected):
+    # see gh-17327
+    #
+    # NaT should have *most* of the Timestamp and Timedelta methods.
+    # Here, we check which public methods NaT does not have. We
+    # ignore any missing private methods.
+    nat_names = dir(NaT)
+    klass_names = dir(klass)
+
+    missing = [x for x in klass_names if x not in nat_names and
+               not x.startswith("_")]
+    missing.sort()
+
+    assert missing == expected
+
+
+def _get_overlap_public_nat_methods(klass, as_tuple=False):
+    """
+    Get overlapping public methods between NaT and another class.
+
+    Parameters
+    ----------
+    klass : type
+        The class to compare with NaT
+    as_tuple : bool, default False
+        Whether to return a list of tuples of the form (klass, method).
+
+    Returns
+    -------
+    overlap : list
+    """
+    nat_names = dir(NaT)
+    klass_names = dir(klass)
+
+    overlap = [x for x in nat_names if x in klass_names and
+               not x.startswith("_") and
+               callable(getattr(klass, x))]
+
+    # Timestamp takes precedence over Timedelta in terms of overlap.
+    if klass is Timedelta:
+        ts_names = dir(Timestamp)
+        overlap = [x for x in overlap if x not in ts_names]
+
+    if as_tuple:
+        overlap = [(klass, method) for method in overlap]
+
+    overlap.sort()
+    return overlap
+
+
+@pytest.mark.parametrize("klass,expected", [
+    (Timestamp, ["astimezone", "ceil", "combine", "ctime", "date", "day_name",
+                 "dst", "floor", "fromisoformat", "fromordinal",
+                 "fromtimestamp", "isocalendar", "isoformat", "isoweekday",
+                 "month_name", "now", "replace", "round", "strftime",
+                 "strptime", "time", "timestamp", "timetuple", "timetz",
+                 "to_datetime64", "to_pydatetime", "today", "toordinal",
+                 "tz_convert", "tz_localize", "tzname", "utcfromtimestamp",
+                 "utcnow", "utcoffset", "utctimetuple", "weekday"]),
+    (Timedelta, ["total_seconds"])
+])
+def test_overlap_public_nat_methods(klass, expected):
+    # see gh-17327
+    #
+    # NaT should have *most* of the Timestamp and Timedelta methods.
+    # In case when Timestamp, Timedelta, and NaT are overlap, the overlap
+    # is considered to be with Timestamp and NaT, not Timedelta.
+
+    # "fromisoformat" was introduced in 3.7
+    if klass is Timestamp and not compat.PY37:
+        expected.remove("fromisoformat")
+
+    assert _get_overlap_public_nat_methods(klass) == expected
+
+
+@pytest.mark.parametrize("compare", (
+    _get_overlap_public_nat_methods(Timestamp, True) +
+    _get_overlap_public_nat_methods(Timedelta, True))
+)
+def test_nat_doc_strings(compare):
+    # see gh-17327
+    #
+    # The docstrings for overlapping methods should match.
+    klass, method = compare
+    klass_doc = getattr(klass, method).__doc__
+
+    nat_doc = getattr(NaT, method).__doc__
+    assert klass_doc == nat_doc
+
+
+_ops = {
+    "left_plus_right": lambda a, b: a + b,
+    "right_plus_left": lambda a, b: b + a,
+    "left_minus_right": lambda a, b: a - b,
+    "right_minus_left": lambda a, b: b - a,
+    "left_times_right": lambda a, b: a * b,
+    "right_times_left": lambda a, b: b * a,
+    "left_div_right": lambda a, b: a / b,
+    "right_div_left": lambda a, b: b / a,
+}
+
+
+@pytest.mark.parametrize("op_name", list(_ops.keys()))
+@pytest.mark.parametrize("value,val_type", [
+    (2, "scalar"),
+    (1.5, "scalar"),
+    (np.nan, "scalar"),
+    (timedelta(3600), "timedelta"),
+    (Timedelta("5s"), "timedelta"),
+    (datetime(2014, 1, 1), "timestamp"),
+    (Timestamp("2014-01-01"), "timestamp"),
+    (Timestamp("2014-01-01", tz="UTC"), "timestamp"),
+    (Timestamp("2014-01-01", tz="US/Eastern"), "timestamp"),
+    (pytz.timezone("Asia/Tokyo").localize(datetime(2014, 1, 1)), "timestamp"),
+])
+def test_nat_arithmetic_scalar(op_name, value, val_type):
+    # see gh-6873
+    invalid_ops = {
+        "scalar": {"right_div_left"},
+        "timedelta": {"left_times_right", "right_times_left"},
+        "timestamp": {"left_times_right", "right_times_left",
+                      "left_div_right", "right_div_left"}
+    }
+
+    op = _ops[op_name]
+
+    if op_name in invalid_ops.get(val_type, set()):
+        if (val_type == "timedelta" and "times" in op_name and
+                isinstance(value, Timedelta)):
+            msg = "Cannot multiply"
+        else:
+            msg = "unsupported operand type"
+
+        with pytest.raises(TypeError, match=msg):
+            op(NaT, value)
+    else:
+        if val_type == "timedelta" and "div" in op_name:
+            expected = np.nan
+        else:
+            expected = NaT
+
+        assert op(NaT, value) is expected
+
+
+@pytest.mark.parametrize("val,expected", [
+    (np.nan, NaT),
+    (NaT, np.nan),
+    (np.timedelta64("NaT"), np.nan)
+])
+def test_nat_rfloordiv_timedelta(val, expected):
+    # see gh-#18846
+    #
+    # See also test_timedelta.TestTimedeltaArithmetic.test_floordiv
+    td = Timedelta(hours=3, minutes=4)
+    assert td // val is expected
+
+
+@pytest.mark.parametrize("op_name", [
+    "left_plus_right", "right_plus_left",
+    "left_minus_right", "right_minus_left"
+])
+@pytest.mark.parametrize("value", [
+    DatetimeIndex(["2011-01-01", "2011-01-02"], name="x"),
+    DatetimeIndex(["2011-01-01", "2011-01-02"], name="x"),
+    TimedeltaIndex(["1 day", "2 day"], name="x"),
+])
+def test_nat_arithmetic_index(op_name, value):
+    # see gh-11718
+    exp_name = "x"
+    exp_data = [NaT] * 2
+
+    if isinstance(value, DatetimeIndex) and "plus" in op_name:
+        expected = DatetimeIndex(exp_data, name=exp_name, tz=value.tz)
+    else:
+        expected = TimedeltaIndex(exp_data, name=exp_name)
+
+    tm.assert_index_equal(_ops[op_name](NaT, value), expected)
+
+
+@pytest.mark.parametrize("op_name", [
+    "left_plus_right", "right_plus_left",
+    "left_minus_right", "right_minus_left"
+])
+@pytest.mark.parametrize("box", [TimedeltaIndex, Series])
+def test_nat_arithmetic_td64_vector(op_name, box):
+    # see gh-19124
+    vec = box(["1 day", "2 day"], dtype="timedelta64[ns]")
+    box_nat = box([NaT, NaT], dtype="timedelta64[ns]")
+    tm.assert_equal(_ops[op_name](vec, NaT), box_nat)
+
+
+def test_nat_pinned_docstrings():
+    # see gh-17327
+    assert NaT.ctime.__doc__ == datetime.ctime.__doc__

utils/venv/lib/python3.6/site-packages/pandas/tests/scalar/timedelta/test_arithmetic.py

@@ -0,0 +1,691 @@
+# -*- coding: utf-8 -*-
+"""
+Tests for scalar Timedelta arithmetic ops
+"""
+from datetime import datetime, timedelta
+import operator
+
+import numpy as np
+import pytest
+
+import pandas as pd
+from pandas import NaT, Timedelta, Timestamp
+from pandas.core import ops
+import pandas.util.testing as tm
+
+
+class TestTimedeltaAdditionSubtraction(object):
+    """
+    Tests for Timedelta methods:
+
+        __add__, __radd__,
+        __sub__, __rsub__
+    """
+    @pytest.mark.parametrize('ten_seconds', [
+        Timedelta(10, unit='s'),
+        timedelta(seconds=10),
+        np.timedelta64(10, 's'),
+        np.timedelta64(10000000000, 'ns'),
+        pd.offsets.Second(10)])
+    def test_td_add_sub_ten_seconds(self, ten_seconds):
+        # GH#6808
+        base = Timestamp('20130101 09:01:12.123456')
+        expected_add = Timestamp('20130101 09:01:22.123456')
+        expected_sub = Timestamp('20130101 09:01:02.123456')
+
+        result = base + ten_seconds
+        assert result == expected_add
+
+        result = base - ten_seconds
+        assert result == expected_sub
+
+    @pytest.mark.parametrize('one_day_ten_secs', [
+        Timedelta('1 day, 00:00:10'),
+        Timedelta('1 days, 00:00:10'),
+        timedelta(days=1, seconds=10),
+        np.timedelta64(1, 'D') + np.timedelta64(10, 's'),
+        pd.offsets.Day() + pd.offsets.Second(10)])
+    def test_td_add_sub_one_day_ten_seconds(self, one_day_ten_secs):
+        # GH#6808
+        base = Timestamp('20130102 09:01:12.123456')
+        expected_add = Timestamp('20130103 09:01:22.123456')
+        expected_sub = Timestamp('20130101 09:01:02.123456')
+
+        result = base + one_day_ten_secs
+        assert result == expected_add
+
+        result = base - one_day_ten_secs
+        assert result == expected_sub
+
+    @pytest.mark.parametrize('op', [operator.add, ops.radd])
+    def test_td_add_datetimelike_scalar(self, op):
+        # GH#19738
+        td = Timedelta(10, unit='d')
+
+        result = op(td, datetime(2016, 1, 1))
+        if op is operator.add:
+            # datetime + Timedelta does _not_ call Timedelta.__radd__,
+            # so we get a datetime back instead of a Timestamp
+            assert isinstance(result, Timestamp)
+        assert result == Timestamp(2016, 1, 11)
+
+        result = op(td, Timestamp('2018-01-12 18:09'))
+        assert isinstance(result, Timestamp)
+        assert result == Timestamp('2018-01-22 18:09')
+
+        result = op(td, np.datetime64('2018-01-12'))
+        assert isinstance(result, Timestamp)
+        assert result == Timestamp('2018-01-22')
+
+        result = op(td, NaT)
+        assert result is NaT
+
+    @pytest.mark.parametrize('op', [operator.add, ops.radd])
+    def test_td_add_td(self, op):
+        td = Timedelta(10, unit='d')
+
+        result = op(td, Timedelta(days=10))
+        assert isinstance(result, Timedelta)
+        assert result == Timedelta(days=20)
+
+    @pytest.mark.parametrize('op', [operator.add, ops.radd])
+    def test_td_add_pytimedelta(self, op):
+        td = Timedelta(10, unit='d')
+        result = op(td, timedelta(days=9))
+        assert isinstance(result, Timedelta)
+        assert result == Timedelta(days=19)
+
+    @pytest.mark.parametrize('op', [operator.add, ops.radd])
+    def test_td_add_timedelta64(self, op):
+        td = Timedelta(10, unit='d')
+        result = op(td, np.timedelta64(-4, 'D'))
+        assert isinstance(result, Timedelta)
+        assert result == Timedelta(days=6)
+
+    @pytest.mark.parametrize('op', [operator.add, ops.radd])
+    def test_td_add_offset(self, op):
+        td = Timedelta(10, unit='d')
+
+        result = op(td, pd.offsets.Hour(6))
+        assert isinstance(result, Timedelta)
+        assert result == Timedelta(days=10, hours=6)
+
+    def test_td_sub_td(self):
+        td = Timedelta(10, unit='d')
+        expected = Timedelta(0, unit='ns')
+        result = td - td
+        assert isinstance(result, Timedelta)
+        assert result == expected
+
+    def test_td_sub_pytimedelta(self):
+        td = Timedelta(10, unit='d')
+        expected = Timedelta(0, unit='ns')
+
+        result = td - td.to_pytimedelta()
+        assert isinstance(result, Timedelta)
+        assert result == expected
+
+        result = td.to_pytimedelta() - td
+        assert isinstance(result, Timedelta)
+        assert result == expected
+
+    def test_td_sub_timedelta64(self):
+        td = Timedelta(10, unit='d')
+        expected = Timedelta(0, unit='ns')
+
+        result = td - td.to_timedelta64()
+        assert isinstance(result, Timedelta)
+        assert result == expected
+
+        result = td.to_timedelta64() - td
+        assert isinstance(result, Timedelta)
+        assert result == expected
+
+    def test_td_sub_nat(self):
+        # In this context pd.NaT is treated as timedelta-like
+        td = Timedelta(10, unit='d')
+        result = td - NaT
+        assert result is NaT
+
+    def test_td_sub_td64_nat(self):
+        td = Timedelta(10, unit='d')
+        td_nat = np.timedelta64('NaT')
+
+        result = td - td_nat
+        assert result is NaT
+
+        result = td_nat - td
+        assert result is NaT
+
+    def test_td_sub_offset(self):
+        td = Timedelta(10, unit='d')
+        result = td - pd.offsets.Hour(1)
+        assert isinstance(result, Timedelta)
+        assert result == Timedelta(239, unit='h')
+
+    def test_td_add_sub_numeric_raises(self):
+        td = Timedelta(10, unit='d')
+        for other in [2, 2.0, np.int64(2), np.float64(2)]:
+            with pytest.raises(TypeError):
+                td + other
+            with pytest.raises(TypeError):
+                other + td
+            with pytest.raises(TypeError):
+                td - other
+            with pytest.raises(TypeError):
+                other - td
+
+    def test_td_rsub_nat(self):
+        td = Timedelta(10, unit='d')
+        result = NaT - td
+        assert result is NaT
+
+        result = np.datetime64('NaT') - td
+        assert result is NaT
+
+    def test_td_rsub_offset(self):
+        result = pd.offsets.Hour(1) - Timedelta(10, unit='d')
+        assert isinstance(result, Timedelta)
+        assert result == Timedelta(-239, unit='h')
+
+    def test_td_sub_timedeltalike_object_dtype_array(self):
+        # GH#21980
+        arr = np.array([Timestamp('20130101 9:01'),
+                        Timestamp('20121230 9:02')])
+        exp = np.array([Timestamp('20121231 9:01'),
+                        Timestamp('20121229 9:02')])
+        res = arr - Timedelta('1D')
+        tm.assert_numpy_array_equal(res, exp)
+
+    def test_td_sub_mixed_most_timedeltalike_object_dtype_array(self):
+        # GH#21980
+        now = Timestamp.now()
+        arr = np.array([now,
+                        Timedelta('1D'),
+                        np.timedelta64(2, 'h')])
+        exp = np.array([now - Timedelta('1D'),
+                        Timedelta('0D'),
+                        np.timedelta64(2, 'h') - Timedelta('1D')])
+        res = arr - Timedelta('1D')
+        tm.assert_numpy_array_equal(res, exp)
+
+    def test_td_rsub_mixed_most_timedeltalike_object_dtype_array(self):
+        # GH#21980
+        now = Timestamp.now()
+        arr = np.array([now,
+                        Timedelta('1D'),
+                        np.timedelta64(2, 'h')])
+        with pytest.raises(TypeError):
+            Timedelta('1D') - arr
+
+    @pytest.mark.parametrize('op', [operator.add, ops.radd])
+    def test_td_add_timedeltalike_object_dtype_array(self, op):
+        # GH#21980
+        arr = np.array([Timestamp('20130101 9:01'),
+                        Timestamp('20121230 9:02')])
+        exp = np.array([Timestamp('20130102 9:01'),
+                        Timestamp('20121231 9:02')])
+        res = op(arr, Timedelta('1D'))
+        tm.assert_numpy_array_equal(res, exp)
+
+    @pytest.mark.parametrize('op', [operator.add, ops.radd])
+    def test_td_add_mixed_timedeltalike_object_dtype_array(self, op):
+        # GH#21980
+        now = Timestamp.now()
+        arr = np.array([now,
+                        Timedelta('1D')])
+        exp = np.array([now + Timedelta('1D'),
+                        Timedelta('2D')])
+        res = op(arr, Timedelta('1D'))
+        tm.assert_numpy_array_equal(res, exp)
+
+
+class TestTimedeltaMultiplicationDivision(object):
+    """
+    Tests for Timedelta methods:
+
+        __mul__, __rmul__,
+        __div__, __rdiv__,
+        __truediv__, __rtruediv__,
+        __floordiv__, __rfloordiv__,
+        __mod__, __rmod__,
+        __divmod__, __rdivmod__
+    """
+
+    # ---------------------------------------------------------------
+    # Timedelta.__mul__, __rmul__
+
+    @pytest.mark.parametrize('td_nat', [NaT,
+                                        np.timedelta64('NaT', 'ns'),
+                                        np.timedelta64('NaT')])
+    @pytest.mark.parametrize('op', [operator.mul, ops.rmul])
+    def test_td_mul_nat(self, op, td_nat):
+        # GH#19819
+        td = Timedelta(10, unit='d')
+        with pytest.raises(TypeError):
+            op(td, td_nat)
+
+    @pytest.mark.parametrize('nan', [np.nan, np.float64('NaN'), float('nan')])
+    @pytest.mark.parametrize('op', [operator.mul, ops.rmul])
+    def test_td_mul_nan(self, op, nan):
+        # np.float64('NaN') has a 'dtype' attr, avoid treating as array
+        td = Timedelta(10, unit='d')
+        result = op(td, nan)
+        assert result is NaT
+
+    @pytest.mark.parametrize('op', [operator.mul, ops.rmul])
+    def test_td_mul_scalar(self, op):
+        # GH#19738
+        td = Timedelta(minutes=3)
+
+        result = op(td, 2)
+        assert result == Timedelta(minutes=6)
+
+        result = op(td, 1.5)
+        assert result == Timedelta(minutes=4, seconds=30)
+
+        assert op(td, np.nan) is NaT
+
+        assert op(-1, td).value == -1 * td.value
+        assert op(-1.0, td).value == -1.0 * td.value
+
+        with pytest.raises(TypeError):
+            # timedelta * datetime is gibberish
+            op(td, Timestamp(2016, 1, 2))
+
+        with pytest.raises(TypeError):
+            # invalid multiply with another timedelta
+            op(td, td)
+
+    # ---------------------------------------------------------------
+    # Timedelta.__div__, __truediv__
+
+    def test_td_div_timedeltalike_scalar(self):
+        # GH#19738
+        td = Timedelta(10, unit='d')
+
+        result = td / pd.offsets.Hour(1)
+        assert result == 240
+
+        assert td / td == 1
+        assert td / np.timedelta64(60, 'h') == 4
+
+        assert np.isnan(td / NaT)
+
+    def test_td_div_numeric_scalar(self):
+        # GH#19738
+        td = Timedelta(10, unit='d')
+
+        result = td / 2
+        assert isinstance(result, Timedelta)
+        assert result == Timedelta(days=5)
+
+        result = td / 5.0
+        assert isinstance(result, Timedelta)
+        assert result == Timedelta(days=2)
+
+    @pytest.mark.parametrize('nan', [np.nan, np.float64('NaN'), float('nan')])
+    def test_td_div_nan(self, nan):
+        # np.float64('NaN') has a 'dtype' attr, avoid treating as array
+        td = Timedelta(10, unit='d')
+        result = td / nan
+        assert result is NaT
+
+        result = td // nan
+        assert result is NaT
+
+    # ---------------------------------------------------------------
+    # Timedelta.__rdiv__
+
+    def test_td_rdiv_timedeltalike_scalar(self):
+        # GH#19738
+        td = Timedelta(10, unit='d')
+        result = pd.offsets.Hour(1) / td
+        assert result == 1 / 240.0
+
+        assert np.timedelta64(60, 'h') / td == 0.25
+
+    # ---------------------------------------------------------------
+    # Timedelta.__floordiv__
+
+    def test_td_floordiv_timedeltalike_scalar(self):
+        # GH#18846
+        td = Timedelta(hours=3, minutes=4)
+        scalar = Timedelta(hours=3, minutes=3)
+
+        assert td // scalar == 1
+        assert -td // scalar.to_pytimedelta() == -2
+        assert (2 * td) // scalar.to_timedelta64() == 2
+
+    def test_td_floordiv_null_scalar(self):
+        # GH#18846
+        td = Timedelta(hours=3, minutes=4)
+
+        assert td // np.nan is NaT
+        assert np.isnan(td // NaT)
+        assert np.isnan(td // np.timedelta64('NaT'))
+
+    def test_td_floordiv_offsets(self):
+        # GH#19738
+        td = Timedelta(hours=3, minutes=4)
+        assert td // pd.offsets.Hour(1) == 3
+        assert td // pd.offsets.Minute(2) == 92
+
+    def test_td_floordiv_invalid_scalar(self):
+        # GH#18846
+        td = Timedelta(hours=3, minutes=4)
+
+        with pytest.raises(TypeError):
+            td // np.datetime64('2016-01-01', dtype='datetime64[us]')
+
+    def test_td_floordiv_numeric_scalar(self):
+        # GH#18846
+        td = Timedelta(hours=3, minutes=4)
+
+        expected = Timedelta(hours=1, minutes=32)
+        assert td // 2 == expected
+        assert td // 2.0 == expected
+        assert td // np.float64(2.0) == expected
+        assert td // np.int32(2.0) == expected
+        assert td // np.uint8(2.0) == expected
+
+    def test_td_floordiv_timedeltalike_array(self):
+        # GH#18846
+        td = Timedelta(hours=3, minutes=4)
+        scalar = Timedelta(hours=3, minutes=3)
+
+        # Array-like others
+        assert td // np.array(scalar.to_timedelta64()) == 1
+
+        res = (3 * td) // np.array([scalar.to_timedelta64()])
+        expected = np.array([3], dtype=np.int64)
+        tm.assert_numpy_array_equal(res, expected)
+
+        res = (10 * td) // np.array([scalar.to_timedelta64(),
+                                     np.timedelta64('NaT')])
+        expected = np.array([10, np.nan])
+        tm.assert_numpy_array_equal(res, expected)
+
+    def test_td_floordiv_numeric_series(self):
+        # GH#18846
+        td = Timedelta(hours=3, minutes=4)
+        ser = pd.Series([1], dtype=np.int64)
+        res = td // ser
+        assert res.dtype.kind == 'm'
+
+    # ---------------------------------------------------------------
+    # Timedelta.__rfloordiv__
+
+    def test_td_rfloordiv_timedeltalike_scalar(self):
+        # GH#18846
+        td = Timedelta(hours=3, minutes=3)
+        scalar = Timedelta(hours=3, minutes=4)
+
+        # scalar others
+        # x // Timedelta is defined only for timedelta-like x. int-like,
+        # float-like, and date-like, in particular, should all either
+        # a) raise TypeError directly or
+        # b) return NotImplemented, following which the reversed
+        #    operation will raise TypeError.
+        assert td.__rfloordiv__(scalar) == 1
+        assert (-td).__rfloordiv__(scalar.to_pytimedelta()) == -2
+        assert (2 * td).__rfloordiv__(scalar.to_timedelta64()) == 0
+
+    def test_td_rfloordiv_null_scalar(self):
+        # GH#18846
+        td = Timedelta(hours=3, minutes=3)
+
+        assert np.isnan(td.__rfloordiv__(NaT))
+        assert np.isnan(td.__rfloordiv__(np.timedelta64('NaT')))
+
+    def test_td_rfloordiv_offsets(self):
+        # GH#19738
+        assert pd.offsets.Hour(1) // Timedelta(minutes=25) == 2
+
+    def test_td_rfloordiv_invalid_scalar(self):
+        # GH#18846
+        td = Timedelta(hours=3, minutes=3)
+
+        dt64 = np.datetime64('2016-01-01', dtype='datetime64[us]')
+        with pytest.raises(TypeError):
+            td.__rfloordiv__(dt64)
+
+    def test_td_rfloordiv_numeric_scalar(self):
+        # GH#18846
+        td = Timedelta(hours=3, minutes=3)
+
+        assert td.__rfloordiv__(np.nan) is NotImplemented
+        assert td.__rfloordiv__(3.5) is NotImplemented
+        assert td.__rfloordiv__(2) is NotImplemented
+
+        with pytest.raises(TypeError):
+            td.__rfloordiv__(np.float64(2.0))
+        with pytest.raises(TypeError):
+            td.__rfloordiv__(np.uint8(9))
+        with tm.assert_produces_warning(FutureWarning):
+            # GH-19761: Change to TypeError.
+            td.__rfloordiv__(np.int32(2.0))
+
+    def test_td_rfloordiv_timedeltalike_array(self):
+        # GH#18846
+        td = Timedelta(hours=3, minutes=3)
+        scalar = Timedelta(hours=3, minutes=4)
+
+        # Array-like others
+        assert td.__rfloordiv__(np.array(scalar.to_timedelta64())) == 1
+
+        res = td.__rfloordiv__(np.array([(3 * scalar).to_timedelta64()]))
+        expected = np.array([3], dtype=np.int64)
+        tm.assert_numpy_array_equal(res, expected)
+
+        arr = np.array([(10 * scalar).to_timedelta64(),
+                        np.timedelta64('NaT')])
+        res = td.__rfloordiv__(arr)
+        expected = np.array([10, np.nan])
+        tm.assert_numpy_array_equal(res, expected)
+
+    def test_td_rfloordiv_numeric_series(self):
+        # GH#18846
+        td = Timedelta(hours=3, minutes=3)
+        ser = pd.Series([1], dtype=np.int64)
+        res = td.__rfloordiv__(ser)
+        assert res is NotImplemented
+        with tm.assert_produces_warning(FutureWarning, check_stacklevel=False):
+            # TODO: GH-19761. Change to TypeError.
+            ser // td
+
+    # ----------------------------------------------------------------
+    # Timedelta.__mod__, __rmod__
+
+    def test_mod_timedeltalike(self):
+        # GH#19365
+        td = Timedelta(hours=37)
+
+        # Timedelta-like others
+        result = td % Timedelta(hours=6)
+        assert isinstance(result, Timedelta)
+        assert result == Timedelta(hours=1)
+
+        result = td % timedelta(minutes=60)
+        assert isinstance(result, Timedelta)
+        assert result == Timedelta(0)
+
+        result = td % NaT
+        assert result is NaT
+
+    def test_mod_timedelta64_nat(self):
+        # GH#19365
+        td = Timedelta(hours=37)
+
+        result = td % np.timedelta64('NaT', 'ns')
+        assert result is NaT
+
+    def test_mod_timedelta64(self):
+        # GH#19365
+        td = Timedelta(hours=37)
+
+        result = td % np.timedelta64(2, 'h')
+        assert isinstance(result, Timedelta)
+        assert result == Timedelta(hours=1)
+
+    def test_mod_offset(self):
+        # GH#19365
+        td = Timedelta(hours=37)
+
+        result = td % pd.offsets.Hour(5)
+        assert isinstance(result, Timedelta)
+        assert result == Timedelta(hours=2)
+
+    def test_mod_numeric(self):
+        # GH#19365
+        td = Timedelta(hours=37)
+
+        # Numeric Others
+        result = td % 2
+        assert isinstance(result, Timedelta)
+        assert result == Timedelta(0)
+
+        result = td % 1e12
+        assert isinstance(result, Timedelta)
+        assert result == Timedelta(minutes=3, seconds=20)
+
+        result = td % int(1e12)
+        assert isinstance(result, Timedelta)
+        assert result == Timedelta(minutes=3, seconds=20)
+
+    def test_mod_invalid(self):
+        # GH#19365
+        td = Timedelta(hours=37)
+
+        with pytest.raises(TypeError):
+            td % Timestamp('2018-01-22')
+
+        with pytest.raises(TypeError):
+            td % []
+
+    def test_rmod_pytimedelta(self):
+        # GH#19365
+        td = Timedelta(minutes=3)
+
+        result = timedelta(minutes=4) % td
+        assert isinstance(result, Timedelta)
+        assert result == Timedelta(minutes=1)
+
+    def test_rmod_timedelta64(self):
+        # GH#19365
+        td = Timedelta(minutes=3)
+        result = np.timedelta64(5, 'm') % td
+        assert isinstance(result, Timedelta)
+        assert result == Timedelta(minutes=2)
+
+    def test_rmod_invalid(self):
+        # GH#19365
+        td = Timedelta(minutes=3)
+
+        with pytest.raises(TypeError):
+            Timestamp('2018-01-22') % td
+
+        with pytest.raises(TypeError):
+            15 % td
+
+        with pytest.raises(TypeError):
+            16.0 % td
+
+        with pytest.raises(TypeError):
+            np.array([22, 24]) % td
+
+    # ----------------------------------------------------------------
+    # Timedelta.__divmod__, __rdivmod__
+
+    def test_divmod_numeric(self):
+        # GH#19365
+        td = Timedelta(days=2, hours=6)
+
+        result = divmod(td, 53 * 3600 * 1e9)
+        assert result[0] == Timedelta(1, unit='ns')
+        assert isinstance(result[1], Timedelta)
+        assert result[1] == Timedelta(hours=1)
+
+        assert result
+        result = divmod(td, np.nan)
+        assert result[0] is NaT
+        assert result[1] is NaT
+
+    def test_divmod(self):
+        # GH#19365
+        td = Timedelta(days=2, hours=6)
+
+        result = divmod(td, timedelta(days=1))
+        assert result[0] == 2
+        assert isinstance(result[1], Timedelta)
+        assert result[1] == Timedelta(hours=6)
+
+        result = divmod(td, 54)
+        assert result[0] == Timedelta(hours=1)
+        assert isinstance(result[1], Timedelta)
+        assert result[1] == Timedelta(0)
+
+        result = divmod(td, NaT)
+        assert np.isnan(result[0])
+        assert result[1] is NaT
+
+    def test_divmod_offset(self):
+        # GH#19365
+        td = Timedelta(days=2, hours=6)
+
+        result = divmod(td, pd.offsets.Hour(-4))
+        assert result[0] == -14
+        assert isinstance(result[1], Timedelta)
+        assert result[1] == Timedelta(hours=-2)
+
+    def test_divmod_invalid(self):
+        # GH#19365
+        td = Timedelta(days=2, hours=6)
+
+        with pytest.raises(TypeError):
+            divmod(td, Timestamp('2018-01-22'))
+
+    def test_rdivmod_pytimedelta(self):
+        # GH#19365
+        result = divmod(timedelta(days=2, hours=6), Timedelta(days=1))
+        assert result[0] == 2
+        assert isinstance(result[1], Timedelta)
+        assert result[1] == Timedelta(hours=6)
+
+    def test_rdivmod_offset(self):
+        result = divmod(pd.offsets.Hour(54), Timedelta(hours=-4))
+        assert result[0] == -14
+        assert isinstance(result[1], Timedelta)
+        assert result[1] == Timedelta(hours=-2)
+
+    def test_rdivmod_invalid(self):
+        # GH#19365
+        td = Timedelta(minutes=3)
+
+        with pytest.raises(TypeError):
+            divmod(Timestamp('2018-01-22'), td)
+
+        with pytest.raises(TypeError):
+            divmod(15, td)
+
+        with pytest.raises(TypeError):
+            divmod(16.0, td)
+
+        with pytest.raises(TypeError):
+            divmod(np.array([22, 24]), td)
+
+    # ----------------------------------------------------------------
+
+    @pytest.mark.parametrize('op', [
+        operator.mul,
+        ops.rmul,
+        operator.truediv,
+        ops.rdiv,
+        ops.rsub])
+    @pytest.mark.parametrize('arr', [
+        np.array([Timestamp('20130101 9:01'), Timestamp('20121230 9:02')]),
+        np.array([Timestamp.now(), Timedelta('1D')])
+    ])
+    def test_td_op_timedelta_timedeltalike_array(self, op, arr):
+        with pytest.raises(TypeError):
+            op(arr, Timedelta('1D'))

utils/venv/lib/python3.6/site-packages/pandas/tests/scalar/timedelta/test_construction.py

@@ -0,0 +1,210 @@
+# -*- coding: utf-8 -*-
+from datetime import timedelta
+
+import numpy as np
+import pytest
+
+from pandas import Timedelta, offsets, to_timedelta
+
+
+def test_construction():
+    expected = np.timedelta64(10, 'D').astype('m8[ns]').view('i8')
+    assert Timedelta(10, unit='d').value == expected
+    assert Timedelta(10.0, unit='d').value == expected
+    assert Timedelta('10 days').value == expected
+    assert Timedelta(days=10).value == expected
+    assert Timedelta(days=10.0).value == expected
+
+    expected += np.timedelta64(10, 's').astype('m8[ns]').view('i8')
+    assert Timedelta('10 days 00:00:10').value == expected
+    assert Timedelta(days=10, seconds=10).value == expected
+    assert Timedelta(days=10, milliseconds=10 * 1000).value == expected
+    assert Timedelta(days=10,
+                     microseconds=10 * 1000 * 1000).value == expected
+
+    # rounding cases
+    assert Timedelta(82739999850000).value == 82739999850000
+    assert ('0 days 22:58:59.999850' in str(Timedelta(82739999850000)))
+    assert Timedelta(123072001000000).value == 123072001000000
+    assert ('1 days 10:11:12.001' in str(Timedelta(123072001000000)))
+
+    # string conversion with/without leading zero
+    # GH#9570
+    assert Timedelta('0:00:00') == timedelta(hours=0)
+    assert Timedelta('00:00:00') == timedelta(hours=0)
+    assert Timedelta('-1:00:00') == -timedelta(hours=1)
+    assert Timedelta('-01:00:00') == -timedelta(hours=1)
+
+    # more strings & abbrevs
+    # GH#8190
+    assert Timedelta('1 h') == timedelta(hours=1)
+    assert Timedelta('1 hour') == timedelta(hours=1)
+    assert Timedelta('1 hr') == timedelta(hours=1)
+    assert Timedelta('1 hours') == timedelta(hours=1)
+    assert Timedelta('-1 hours') == -timedelta(hours=1)
+    assert Timedelta('1 m') == timedelta(minutes=1)
+    assert Timedelta('1.5 m') == timedelta(seconds=90)
+    assert Timedelta('1 minute') == timedelta(minutes=1)
+    assert Timedelta('1 minutes') == timedelta(minutes=1)
+    assert Timedelta('1 s') == timedelta(seconds=1)
+    assert Timedelta('1 second') == timedelta(seconds=1)
+    assert Timedelta('1 seconds') == timedelta(seconds=1)
+    assert Timedelta('1 ms') == timedelta(milliseconds=1)
+    assert Timedelta('1 milli') == timedelta(milliseconds=1)
+    assert Timedelta('1 millisecond') == timedelta(milliseconds=1)
+    assert Timedelta('1 us') == timedelta(microseconds=1)
+    assert Timedelta('1 micros') == timedelta(microseconds=1)
+    assert Timedelta('1 microsecond') == timedelta(microseconds=1)
+    assert Timedelta('1.5 microsecond') == Timedelta('00:00:00.000001500')
+    assert Timedelta('1 ns') == Timedelta('00:00:00.000000001')
+    assert Timedelta('1 nano') == Timedelta('00:00:00.000000001')
+    assert Timedelta('1 nanosecond') == Timedelta('00:00:00.000000001')
+
+    # combos
+    assert Timedelta('10 days 1 hour') == timedelta(days=10, hours=1)
+    assert Timedelta('10 days 1 h') == timedelta(days=10, hours=1)
+    assert Timedelta('10 days 1 h 1m 1s') == timedelta(
+        days=10, hours=1, minutes=1, seconds=1)
+    assert Timedelta('-10 days 1 h 1m 1s') == -timedelta(
+        days=10, hours=1, minutes=1, seconds=1)
+    assert Timedelta('-10 days 1 h 1m 1s') == -timedelta(
+        days=10, hours=1, minutes=1, seconds=1)
+    assert Timedelta('-10 days 1 h 1m 1s 3us') == -timedelta(
+        days=10, hours=1, minutes=1, seconds=1, microseconds=3)
+    assert Timedelta('-10 days 1 h 1.5m 1s 3us') == -timedelta(
+        days=10, hours=1, minutes=1, seconds=31, microseconds=3)
+
+    # Currently invalid as it has a - on the hh:mm:dd part
+    # (only allowed on the days)
+    with pytest.raises(ValueError):
+        Timedelta('-10 days -1 h 1.5m 1s 3us')
+
+    # only leading neg signs are allowed
+    with pytest.raises(ValueError):
+        Timedelta('10 days -1 h 1.5m 1s 3us')
+
+    # no units specified
+    with pytest.raises(ValueError):
+        Timedelta('3.1415')
+
+    # invalid construction
+    with pytest.raises(ValueError, match="cannot construct a Timedelta"):
+        Timedelta()
+
+    with pytest.raises(ValueError, match="unit abbreviation w/o a number"):
+        Timedelta('foo')
+
+    msg = ("cannot construct a Timedelta from "
+           "the passed arguments, allowed keywords are ")
+    with pytest.raises(ValueError, match=msg):
+        Timedelta(day=10)
+
+    # floats
+    expected = np.timedelta64(
+        10, 's').astype('m8[ns]').view('i8') + np.timedelta64(
+            500, 'ms').astype('m8[ns]').view('i8')
+    assert Timedelta(10.5, unit='s').value == expected
+
+    # offset
+    assert to_timedelta(offsets.Hour(2)) == Timedelta(hours=2)
+    assert Timedelta(offsets.Hour(2)) == Timedelta(hours=2)
+    assert Timedelta(offsets.Second(2)) == Timedelta(seconds=2)
+
+    # GH#11995: unicode
+    expected = Timedelta('1H')
+    result = Timedelta(u'1H')
+    assert result == expected
+    assert to_timedelta(offsets.Hour(2)) == Timedelta(u'0 days, 02:00:00')
+
+    with pytest.raises(ValueError):
+        Timedelta(u'foo bar')
+
+
+@pytest.mark.parametrize('item', list({'days': 'D',
+                                       'seconds': 's',
+                                       'microseconds': 'us',
+                                       'milliseconds': 'ms',
+                                       'minutes': 'm',
+                                       'hours': 'h',
+                                       'weeks': 'W'}.items()))
+@pytest.mark.parametrize('npdtype', [np.int64, np.int32, np.int16,
+                                     np.float64, np.float32, np.float16])
+def test_td_construction_with_np_dtypes(npdtype, item):
+    # GH#8757: test construction with np dtypes
+    pykwarg, npkwarg = item
+    expected = np.timedelta64(1, npkwarg).astype('m8[ns]').view('i8')
+    assert Timedelta(**{pykwarg: npdtype(1)}).value == expected
+
+
+@pytest.mark.parametrize('val', [
+    '1s', '-1s', '1us', '-1us', '1 day', '-1 day',
+    '-23:59:59.999999', '-1 days +23:59:59.999999', '-1ns',
+    '1ns', '-23:59:59.999999999'])
+def test_td_from_repr_roundtrip(val):
+    # round-trip both for string and value
+    td = Timedelta(val)
+    assert Timedelta(td.value) == td
+
+    # str does not normally display nanos
+    if not td.nanoseconds:
+        assert Timedelta(str(td)) == td
+    assert Timedelta(td._repr_base(format='all')) == td
+
+
+def test_overflow_on_construction():
+    # GH#3374
+    value = Timedelta('1day').value * 20169940
+    with pytest.raises(OverflowError):
+        Timedelta(value)
+
+    # xref GH#17637
+    with pytest.raises(OverflowError):
+        Timedelta(7 * 19999, unit='D')
+
+    with pytest.raises(OverflowError):
+        Timedelta(timedelta(days=13 * 19999))
+
+
+@pytest.mark.parametrize('fmt,exp', [
+    ('P6DT0H50M3.010010012S', Timedelta(days=6, minutes=50, seconds=3,
+                                        milliseconds=10, microseconds=10,
+                                        nanoseconds=12)),
+    ('P-6DT0H50M3.010010012S', Timedelta(days=-6, minutes=50, seconds=3,
+                                         milliseconds=10, microseconds=10,
+                                         nanoseconds=12)),
+    ('P4DT12H30M5S', Timedelta(days=4, hours=12, minutes=30, seconds=5)),
+    ('P0DT0H0M0.000000123S', Timedelta(nanoseconds=123)),
+    ('P0DT0H0M0.00001S', Timedelta(microseconds=10)),
+    ('P0DT0H0M0.001S', Timedelta(milliseconds=1)),
+    ('P0DT0H1M0S', Timedelta(minutes=1)),
+    ('P1DT25H61M61S', Timedelta(days=1, hours=25, minutes=61, seconds=61))
+])
+def test_iso_constructor(fmt, exp):
+    assert Timedelta(fmt) == exp
+
+
+@pytest.mark.parametrize('fmt', [
+    'PPPPPPPPPPPP', 'PDTHMS', 'P0DT999H999M999S',
+    'P1DT0H0M0.0000000000000S', 'P1DT0H0M00000000000S',
+    'P1DT0H0M0.S'])
+def test_iso_constructor_raises(fmt):
+    with pytest.raises(ValueError, match=('Invalid ISO 8601 Duration '
+                                          'format - {}'.format(fmt))):
+        Timedelta(fmt)
+
+
+@pytest.mark.parametrize('constructed_td, conversion', [
+    (Timedelta(nanoseconds=100), '100ns'),
+    (Timedelta(days=1, hours=1, minutes=1, weeks=1, seconds=1, milliseconds=1,
+               microseconds=1, nanoseconds=1), 694861001001001),
+    (Timedelta(microseconds=1) + Timedelta(nanoseconds=1), '1us1ns'),
+    (Timedelta(microseconds=1) - Timedelta(nanoseconds=1), '999ns'),
+    (Timedelta(microseconds=1) + 5 * Timedelta(nanoseconds=-2), '990ns')])
+def test_td_constructor_on_nanoseconds(constructed_td, conversion):
+    # GH#9273
+    assert constructed_td == Timedelta(conversion)
+
+
+def test_td_constructor_value_error():
+    with pytest.raises(TypeError):
+        Timedelta(nanoseconds='abc')

utils/venv/lib/python3.6/site-packages/pandas/tests/scalar/timedelta/test_formats.py

@@ -0,0 +1,28 @@
+# -*- coding: utf-8 -*-
+import pytest
+
+from pandas import Timedelta
+
+
+@pytest.mark.parametrize('td, expected_repr', [
+    (Timedelta(10, unit='d'), "Timedelta('10 days 00:00:00')"),
+    (Timedelta(10, unit='s'), "Timedelta('0 days 00:00:10')"),
+    (Timedelta(10, unit='ms'), "Timedelta('0 days 00:00:00.010000')"),
+    (Timedelta(-10, unit='ms'), "Timedelta('-1 days +23:59:59.990000')")])
+def test_repr(td, expected_repr):
+    assert repr(td) == expected_repr
+
+
+@pytest.mark.parametrize('td, expected_iso', [
+    (Timedelta(days=6, minutes=50, seconds=3, milliseconds=10, microseconds=10,
+               nanoseconds=12), 'P6DT0H50M3.010010012S'),
+    (Timedelta(days=4, hours=12, minutes=30, seconds=5), 'P4DT12H30M5S'),
+    (Timedelta(nanoseconds=123), 'P0DT0H0M0.000000123S'),
+    # trim nano
+    (Timedelta(microseconds=10), 'P0DT0H0M0.00001S'),
+    # trim micro
+    (Timedelta(milliseconds=1), 'P0DT0H0M0.001S'),
+    # don't strip every 0
+    (Timedelta(minutes=1), 'P0DT0H1M0S')])
+def test_isoformat(td, expected_iso):
+    assert td.isoformat() == expected_iso

utils/venv/lib/python3.6/site-packages/pandas/tests/scalar/timedelta/test_timedelta.py

@@ -0,0 +1,710 @@
+""" test the scalar Timedelta """
+from datetime import timedelta
+
+import numpy as np
+import pytest
+
+from pandas._libs.tslibs import NaT, iNaT
+import pandas.compat as compat
+
+import pandas as pd
+from pandas import (
+    Series, Timedelta, TimedeltaIndex, timedelta_range, to_timedelta)
+import pandas.util.testing as tm
+
+
+class TestTimedeltaArithmetic(object):
+
+    def test_arithmetic_overflow(self):
+        with pytest.raises(OverflowError):
+            pd.Timestamp('1700-01-01') + pd.Timedelta(13 * 19999, unit='D')
+
+        with pytest.raises(OverflowError):
+            pd.Timestamp('1700-01-01') + timedelta(days=13 * 19999)
+
+    def test_array_timedelta_floordiv(self):
+        # https://github.com/pandas-dev/pandas/issues/19761
+        ints = pd.date_range('2012-10-08', periods=4, freq='D').view('i8')
+        msg = r"Use 'array // timedelta.value'"
+        with tm.assert_produces_warning(FutureWarning) as m:
+            result = ints // pd.Timedelta(1, unit='s')
+
+        assert msg in str(m[0].message)
+        expected = np.array([1349654400, 1349740800, 1349827200, 1349913600],
+                            dtype='i8')
+        tm.assert_numpy_array_equal(result, expected)
+
+    def test_ops_error_str(self):
+        # GH 13624
+        td = Timedelta('1 day')
+
+        for left, right in [(td, 'a'), ('a', td)]:
+
+            with pytest.raises(TypeError):
+                left + right
+
+            with pytest.raises(TypeError):
+                left > right
+
+            assert not left == right
+            assert left != right
+
+    def test_ops_notimplemented(self):
+        class Other(object):
+            pass
+
+        other = Other()
+
+        td = Timedelta('1 day')
+        assert td.__add__(other) is NotImplemented
+        assert td.__sub__(other) is NotImplemented
+        assert td.__truediv__(other) is NotImplemented
+        assert td.__mul__(other) is NotImplemented
+        assert td.__floordiv__(other) is NotImplemented
+
+    def test_unary_ops(self):
+        td = Timedelta(10, unit='d')
+
+        # __neg__, __pos__
+        assert -td == Timedelta(-10, unit='d')
+        assert -td == Timedelta('-10d')
+        assert +td == Timedelta(10, unit='d')
+
+        # __abs__, __abs__(__neg__)
+        assert abs(td) == td
+        assert abs(-td) == td
+        assert abs(-td) == Timedelta('10d')
+
+
+class TestTimedeltaComparison(object):
+    def test_compare_tick(self, tick_classes):
+        cls = tick_classes
+
+        off = cls(4)
+        td = off.delta
+        assert isinstance(td, Timedelta)
+
+        assert td == off
+        assert not td != off
+        assert td <= off
+        assert td >= off
+        assert not td < off
+        assert not td > off
+
+        assert not td == 2 * off
+        assert td != 2 * off
+        assert td <= 2 * off
+        assert td < 2 * off
+        assert not td >= 2 * off
+        assert not td > 2 * off
+
+    def test_comparison_object_array(self):
+        # analogous to GH#15183
+        td = Timedelta('2 days')
+        other = Timedelta('3 hours')
+
+        arr = np.array([other, td], dtype=object)
+        res = arr == td
+        expected = np.array([False, True], dtype=bool)
+        assert (res == expected).all()
+
+        # 2D case
+        arr = np.array([[other, td],
+                        [td, other]],
+                       dtype=object)
+        res = arr != td
+        expected = np.array([[True, False], [False, True]], dtype=bool)
+        assert res.shape == expected.shape
+        assert (res == expected).all()
+
+    def test_compare_timedelta_ndarray(self):
+        # GH11835
+        periods = [Timedelta('0 days 01:00:00'), Timedelta('0 days 01:00:00')]
+        arr = np.array(periods)
+        result = arr[0] > arr
+        expected = np.array([False, False])
+        tm.assert_numpy_array_equal(result, expected)
+
+    @pytest.mark.skip(reason="GH#20829 is reverted until after 0.24.0")
+    def test_compare_custom_object(self):
+        """
+        Make sure non supported operations on Timedelta returns NonImplemented
+        and yields to other operand (GH#20829).
+        """
+        class CustomClass(object):
+
+            def __init__(self, cmp_result=None):
+                self.cmp_result = cmp_result
+
+            def generic_result(self):
+                if self.cmp_result is None:
+                    return NotImplemented
+                else:
+                    return self.cmp_result
+
+            def __eq__(self, other):
+                return self.generic_result()
+
+            def __gt__(self, other):
+                return self.generic_result()
+
+        t = Timedelta('1s')
+
+        assert not (t == "string")
+        assert not (t == 1)
+        assert not (t == CustomClass())
+        assert not (t == CustomClass(cmp_result=False))
+
+        assert t < CustomClass(cmp_result=True)
+        assert not (t < CustomClass(cmp_result=False))
+
+        assert t == CustomClass(cmp_result=True)
+
+    @pytest.mark.parametrize("val", ["string", 1])
+    def test_compare_unknown_type(self, val):
+        # GH20829
+        t = Timedelta('1s')
+        with pytest.raises(TypeError):
+            t >= val
+        with pytest.raises(TypeError):
+            t > val
+        with pytest.raises(TypeError):
+            t <= val
+        with pytest.raises(TypeError):
+            t < val
+
+
+class TestTimedeltas(object):
+
+    @pytest.mark.parametrize("unit, value, expected", [
+        ('us', 9.999, 9999), ('ms', 9.999999, 9999999),
+        ('s', 9.999999999, 9999999999)])
+    def test_rounding_on_int_unit_construction(self, unit, value, expected):
+        # GH 12690
+        result = Timedelta(value, unit=unit)
+        assert result.value == expected
+        result = Timedelta(str(value) + unit)
+        assert result.value == expected
+
+    def test_total_seconds_scalar(self):
+        # see gh-10939
+        rng = Timedelta('1 days, 10:11:12.100123456')
+        expt = 1 * 86400 + 10 * 3600 + 11 * 60 + 12 + 100123456. / 1e9
+        tm.assert_almost_equal(rng.total_seconds(), expt)
+
+        rng = Timedelta(np.nan)
+        assert np.isnan(rng.total_seconds())
+
+    def test_conversion(self):
+
+        for td in [Timedelta(10, unit='d'),
+                   Timedelta('1 days, 10:11:12.012345')]:
+            pydt = td.to_pytimedelta()
+            assert td == Timedelta(pydt)
+            assert td == pydt
+            assert (isinstance(pydt, timedelta) and not isinstance(
+                pydt, Timedelta))
+
+            assert td == np.timedelta64(td.value, 'ns')
+            td64 = td.to_timedelta64()
+
+            assert td64 == np.timedelta64(td.value, 'ns')
+            assert td == td64
+
+            assert isinstance(td64, np.timedelta64)
+
+        # this is NOT equal and cannot be roundtriped (because of the nanos)
+        td = Timedelta('1 days, 10:11:12.012345678')
+        assert td != td.to_pytimedelta()
+
+    def test_freq_conversion(self):
+
+        # truediv
+        td = Timedelta('1 days 2 hours 3 ns')
+        result = td / np.timedelta64(1, 'D')
+        assert result == td.value / float(86400 * 1e9)
+        result = td / np.timedelta64(1, 's')
+        assert result == td.value / float(1e9)
+        result = td / np.timedelta64(1, 'ns')
+        assert result == td.value
+
+        # floordiv
+        td = Timedelta('1 days 2 hours 3 ns')
+        result = td // np.timedelta64(1, 'D')
+        assert result == 1
+        result = td // np.timedelta64(1, 's')
+        assert result == 93600
+        result = td // np.timedelta64(1, 'ns')
+        assert result == td.value
+
+    def test_fields(self):
+        def check(value):
+            # that we are int/long like
+            assert isinstance(value, (int, compat.long))
+
+        # compat to datetime.timedelta
+        rng = to_timedelta('1 days, 10:11:12')
+        assert rng.days == 1
+        assert rng.seconds == 10 * 3600 + 11 * 60 + 12
+        assert rng.microseconds == 0
+        assert rng.nanoseconds == 0
+
+        pytest.raises(AttributeError, lambda: rng.hours)
+        pytest.raises(AttributeError, lambda: rng.minutes)
+        pytest.raises(AttributeError, lambda: rng.milliseconds)
+
+        # GH 10050
+        check(rng.days)
+        check(rng.seconds)
+        check(rng.microseconds)
+        check(rng.nanoseconds)
+
+        td = Timedelta('-1 days, 10:11:12')
+        assert abs(td) == Timedelta('13:48:48')
+        assert str(td) == "-1 days +10:11:12"
+        assert -td == Timedelta('0 days 13:48:48')
+        assert -Timedelta('-1 days, 10:11:12').value == 49728000000000
+        assert Timedelta('-1 days, 10:11:12').value == -49728000000000
+
+        rng = to_timedelta('-1 days, 10:11:12.100123456')
+        assert rng.days == -1
+        assert rng.seconds == 10 * 3600 + 11 * 60 + 12
+        assert rng.microseconds == 100 * 1000 + 123
+        assert rng.nanoseconds == 456
+        pytest.raises(AttributeError, lambda: rng.hours)
+        pytest.raises(AttributeError, lambda: rng.minutes)
+        pytest.raises(AttributeError, lambda: rng.milliseconds)
+
+        # components
+        tup = pd.to_timedelta(-1, 'us').components
+        assert tup.days == -1
+        assert tup.hours == 23
+        assert tup.minutes == 59
+        assert tup.seconds == 59
+        assert tup.milliseconds == 999
+        assert tup.microseconds == 999
+        assert tup.nanoseconds == 0
+
+        # GH 10050
+        check(tup.days)
+        check(tup.hours)
+        check(tup.minutes)
+        check(tup.seconds)
+        check(tup.milliseconds)
+        check(tup.microseconds)
+        check(tup.nanoseconds)
+
+        tup = Timedelta('-1 days 1 us').components
+        assert tup.days == -2
+        assert tup.hours == 23
+        assert tup.minutes == 59
+        assert tup.seconds == 59
+        assert tup.milliseconds == 999
+        assert tup.microseconds == 999
+        assert tup.nanoseconds == 0
+
+    def test_iso_conversion(self):
+        # GH #21877
+        expected = Timedelta(1, unit='s')
+        assert to_timedelta('P0DT0H0M1S') == expected
+
+    def test_nat_converters(self):
+        assert to_timedelta('nat', box=False).astype('int64') == iNaT
+        assert to_timedelta('nan', box=False).astype('int64') == iNaT
+
+    @pytest.mark.parametrize('units, np_unit',
+                             [(['Y', 'y'], 'Y'),
+                              (['M'], 'M'),
+                              (['W', 'w'], 'W'),
+                              (['D', 'd', 'days', 'day', 'Days', 'Day'], 'D'),
+                              (['m', 'minute', 'min', 'minutes', 't',
+                                'Minute', 'Min', 'Minutes', 'T'], 'm'),
+                              (['s', 'seconds', 'sec', 'second',
+                                'S', 'Seconds', 'Sec', 'Second'], 's'),
+                              (['ms', 'milliseconds', 'millisecond', 'milli',
+                                'millis', 'l', 'MS', 'Milliseconds',
+                                'Millisecond', 'Milli', 'Millis', 'L'], 'ms'),
+                              (['us', 'microseconds', 'microsecond', 'micro',
+                                'micros', 'u', 'US', 'Microseconds',
+                                'Microsecond', 'Micro', 'Micros', 'U'], 'us'),
+                              (['ns', 'nanoseconds', 'nanosecond', 'nano',
+                                'nanos', 'n', 'NS', 'Nanoseconds',
+                                'Nanosecond', 'Nano', 'Nanos', 'N'], 'ns')])
+    @pytest.mark.parametrize('wrapper', [np.array, list, pd.Index])
+    def test_unit_parser(self, units, np_unit, wrapper):
+        # validate all units, GH 6855, GH 21762
+        for unit in units:
+            # array-likes
+            expected = TimedeltaIndex([np.timedelta64(i, np_unit)
+                                       for i in np.arange(5).tolist()])
+            result = to_timedelta(wrapper(range(5)), unit=unit)
+            tm.assert_index_equal(result, expected)
+            result = TimedeltaIndex(wrapper(range(5)), unit=unit)
+            tm.assert_index_equal(result, expected)
+
+            if unit == 'M':
+                # M is treated as minutes in string repr
+                expected = TimedeltaIndex([np.timedelta64(i, 'm')
+                                           for i in np.arange(5).tolist()])
+
+            str_repr = ['{}{}'.format(x, unit) for x in np.arange(5)]
+            result = to_timedelta(wrapper(str_repr))
+            tm.assert_index_equal(result, expected)
+            result = TimedeltaIndex(wrapper(str_repr))
+            tm.assert_index_equal(result, expected)
+
+            # scalar
+            expected = Timedelta(np.timedelta64(2, np_unit).astype(
+                'timedelta64[ns]'))
+
+            result = to_timedelta(2, unit=unit)
+            assert result == expected
+            result = Timedelta(2, unit=unit)
+            assert result == expected
+
+            if unit == 'M':
+                expected = Timedelta(np.timedelta64(2, 'm').astype(
+                    'timedelta64[ns]'))
+
+            result = to_timedelta('2{}'.format(unit))
+            assert result == expected
+            result = Timedelta('2{}'.format(unit))
+            assert result == expected
+
+    def test_numeric_conversions(self):
+        assert Timedelta(0) == np.timedelta64(0, 'ns')
+        assert Timedelta(10) == np.timedelta64(10, 'ns')
+        assert Timedelta(10, unit='ns') == np.timedelta64(10, 'ns')
+
+        assert Timedelta(10, unit='us') == np.timedelta64(10, 'us')
+        assert Timedelta(10, unit='ms') == np.timedelta64(10, 'ms')
+        assert Timedelta(10, unit='s') == np.timedelta64(10, 's')
+        assert Timedelta(10, unit='d') == np.timedelta64(10, 'D')
+
+    def test_timedelta_conversions(self):
+        assert (Timedelta(timedelta(seconds=1)) ==
+                np.timedelta64(1, 's').astype('m8[ns]'))
+        assert (Timedelta(timedelta(microseconds=1)) ==
+                np.timedelta64(1, 'us').astype('m8[ns]'))
+        assert (Timedelta(timedelta(days=1)) ==
+                np.timedelta64(1, 'D').astype('m8[ns]'))
+
+    def test_round(self):
+
+        t1 = Timedelta('1 days 02:34:56.789123456')
+        t2 = Timedelta('-1 days 02:34:56.789123456')
+
+        for (freq, s1, s2) in [('N', t1, t2),
+                               ('U', Timedelta('1 days 02:34:56.789123000'),
+                                Timedelta('-1 days 02:34:56.789123000')),
+                               ('L', Timedelta('1 days 02:34:56.789000000'),
+                                Timedelta('-1 days 02:34:56.789000000')),
+                               ('S', Timedelta('1 days 02:34:57'),
+                                Timedelta('-1 days 02:34:57')),
+                               ('2S', Timedelta('1 days 02:34:56'),
+                                Timedelta('-1 days 02:34:56')),
+                               ('5S', Timedelta('1 days 02:34:55'),
+                                Timedelta('-1 days 02:34:55')),
+                               ('T', Timedelta('1 days 02:35:00'),
+                                Timedelta('-1 days 02:35:00')),
+                               ('12T', Timedelta('1 days 02:36:00'),
+                                Timedelta('-1 days 02:36:00')),
+                               ('H', Timedelta('1 days 03:00:00'),
+                                Timedelta('-1 days 03:00:00')),
+                               ('d', Timedelta('1 days'),
+                                Timedelta('-1 days'))]:
+            r1 = t1.round(freq)
+            assert r1 == s1
+            r2 = t2.round(freq)
+            assert r2 == s2
+
+        # invalid
+        for freq in ['Y', 'M', 'foobar']:
+            pytest.raises(ValueError, lambda: t1.round(freq))
+
+        t1 = timedelta_range('1 days', periods=3, freq='1 min 2 s 3 us')
+        t2 = -1 * t1
+        t1a = timedelta_range('1 days', periods=3, freq='1 min 2 s')
+        t1c = pd.TimedeltaIndex([1, 1, 1], unit='D')
+
+        # note that negative times round DOWN! so don't give whole numbers
+        for (freq, s1, s2) in [('N', t1, t2),
+                               ('U', t1, t2),
+                               ('L', t1a,
+                                TimedeltaIndex(['-1 days +00:00:00',
+                                                '-2 days +23:58:58',
+                                                '-2 days +23:57:56'],
+                                               dtype='timedelta64[ns]',
+                                               freq=None)
+                                ),
+                               ('S', t1a,
+                                TimedeltaIndex(['-1 days +00:00:00',
+                                                '-2 days +23:58:58',
+                                                '-2 days +23:57:56'],
+                                               dtype='timedelta64[ns]',
+                                               freq=None)
+                                ),
+                               ('12T', t1c,
+                                TimedeltaIndex(['-1 days',
+                                                '-1 days',
+                                                '-1 days'],
+                                               dtype='timedelta64[ns]',
+                                               freq=None)
+                                ),
+                               ('H', t1c,
+                                TimedeltaIndex(['-1 days',
+                                                '-1 days',
+                                                '-1 days'],
+                                               dtype='timedelta64[ns]',
+                                               freq=None)
+                                ),
+                               ('d', t1c,
+                                pd.TimedeltaIndex([-1, -1, -1], unit='D')
+                                )]:
+
+            r1 = t1.round(freq)
+            tm.assert_index_equal(r1, s1)
+            r2 = t2.round(freq)
+        tm.assert_index_equal(r2, s2)
+
+        # invalid
+        for freq in ['Y', 'M', 'foobar']:
+            pytest.raises(ValueError, lambda: t1.round(freq))
+
+    def test_contains(self):
+        # Checking for any NaT-like objects
+        # GH 13603
+        td = to_timedelta(range(5), unit='d') + pd.offsets.Hour(1)
+        for v in [pd.NaT, None, float('nan'), np.nan]:
+            assert not (v in td)
+
+        td = to_timedelta([pd.NaT])
+        for v in [pd.NaT, None, float('nan'), np.nan]:
+            assert (v in td)
+
+    def test_identity(self):
+
+        td = Timedelta(10, unit='d')
+        assert isinstance(td, Timedelta)
+        assert isinstance(td, timedelta)
+
+    def test_short_format_converters(self):
+        def conv(v):
+            return v.astype('m8[ns]')
+
+        assert Timedelta('10') == np.timedelta64(10, 'ns')
+        assert Timedelta('10ns') == np.timedelta64(10, 'ns')
+        assert Timedelta('100') == np.timedelta64(100, 'ns')
+        assert Timedelta('100ns') == np.timedelta64(100, 'ns')
+
+        assert Timedelta('1000') == np.timedelta64(1000, 'ns')
+        assert Timedelta('1000ns') == np.timedelta64(1000, 'ns')
+        assert Timedelta('1000NS') == np.timedelta64(1000, 'ns')
+
+        assert Timedelta('10us') == np.timedelta64(10000, 'ns')
+        assert Timedelta('100us') == np.timedelta64(100000, 'ns')
+        assert Timedelta('1000us') == np.timedelta64(1000000, 'ns')
+        assert Timedelta('1000Us') == np.timedelta64(1000000, 'ns')
+        assert Timedelta('1000uS') == np.timedelta64(1000000, 'ns')
+
+        assert Timedelta('1ms') == np.timedelta64(1000000, 'ns')
+        assert Timedelta('10ms') == np.timedelta64(10000000, 'ns')
+        assert Timedelta('100ms') == np.timedelta64(100000000, 'ns')
+        assert Timedelta('1000ms') == np.timedelta64(1000000000, 'ns')
+
+        assert Timedelta('-1s') == -np.timedelta64(1000000000, 'ns')
+        assert Timedelta('1s') == np.timedelta64(1000000000, 'ns')
+        assert Timedelta('10s') == np.timedelta64(10000000000, 'ns')
+        assert Timedelta('100s') == np.timedelta64(100000000000, 'ns')
+        assert Timedelta('1000s') == np.timedelta64(1000000000000, 'ns')
+
+        assert Timedelta('1d') == conv(np.timedelta64(1, 'D'))
+        assert Timedelta('-1d') == -conv(np.timedelta64(1, 'D'))
+        assert Timedelta('1D') == conv(np.timedelta64(1, 'D'))
+        assert Timedelta('10D') == conv(np.timedelta64(10, 'D'))
+        assert Timedelta('100D') == conv(np.timedelta64(100, 'D'))
+        assert Timedelta('1000D') == conv(np.timedelta64(1000, 'D'))
+        assert Timedelta('10000D') == conv(np.timedelta64(10000, 'D'))
+
+        # space
+        assert Timedelta(' 10000D ') == conv(np.timedelta64(10000, 'D'))
+        assert Timedelta(' - 10000D ') == -conv(np.timedelta64(10000, 'D'))
+
+        # invalid
+        with pytest.raises(ValueError):
+            Timedelta('1foo')
+        with pytest.raises(ValueError):
+            Timedelta('foo')
+
+    def test_full_format_converters(self):
+        def conv(v):
+            return v.astype('m8[ns]')
+
+        d1 = np.timedelta64(1, 'D')
+
+        assert Timedelta('1days') == conv(d1)
+        assert Timedelta('1days,') == conv(d1)
+        assert Timedelta('- 1days,') == -conv(d1)
+
+        assert Timedelta('00:00:01') == conv(np.timedelta64(1, 's'))
+        assert Timedelta('06:00:01') == conv(np.timedelta64(6 * 3600 + 1, 's'))
+        assert Timedelta('06:00:01.0') == conv(
+            np.timedelta64(6 * 3600 + 1, 's'))
+        assert Timedelta('06:00:01.01') == conv(np.timedelta64(
+            1000 * (6 * 3600 + 1) + 10, 'ms'))
+
+        assert (Timedelta('- 1days, 00:00:01') ==
+                conv(-d1 + np.timedelta64(1, 's')))
+        assert (Timedelta('1days, 06:00:01') ==
+                conv(d1 + np.timedelta64(6 * 3600 + 1, 's')))
+        assert (Timedelta('1days, 06:00:01.01') ==
+                conv(d1 + np.timedelta64(1000 * (6 * 3600 + 1) + 10, 'ms')))
+
+        # invalid
+        with pytest.raises(ValueError):
+            Timedelta('- 1days, 00')
+
+    def test_overflow(self):
+        # GH 9442
+        s = Series(pd.date_range('20130101', periods=100000, freq='H'))
+        s[0] += pd.Timedelta('1s 1ms')
+
+        # mean
+        result = (s - s.min()).mean()
+        expected = pd.Timedelta((pd.TimedeltaIndex((s - s.min())).asi8 / len(s)
+                                 ).sum())
+
+        # the computation is converted to float so
+        # might be some loss of precision
+        assert np.allclose(result.value / 1000, expected.value / 1000)
+
+        # sum
+        pytest.raises(ValueError, lambda: (s - s.min()).sum())
+        s1 = s[0:10000]
+        pytest.raises(ValueError, lambda: (s1 - s1.min()).sum())
+        s2 = s[0:1000]
+        result = (s2 - s2.min()).sum()
+
+    def test_pickle(self):
+
+        v = Timedelta('1 days 10:11:12.0123456')
+        v_p = tm.round_trip_pickle(v)
+        assert v == v_p
+
+    def test_timedelta_hash_equality(self):
+        # GH 11129
+        v = Timedelta(1, 'D')
+        td = timedelta(days=1)
+        assert hash(v) == hash(td)
+
+        d = {td: 2}
+        assert d[v] == 2
+
+        tds = timedelta_range('1 second', periods=20)
+        assert all(hash(td) == hash(td.to_pytimedelta()) for td in tds)
+
+        # python timedeltas drop ns resolution
+        ns_td = Timedelta(1, 'ns')
+        assert hash(ns_td) != hash(ns_td.to_pytimedelta())
+
+    def test_implementation_limits(self):
+        min_td = Timedelta(Timedelta.min)
+        max_td = Timedelta(Timedelta.max)
+
+        # GH 12727
+        # timedelta limits correspond to int64 boundaries
+        assert min_td.value == np.iinfo(np.int64).min + 1
+        assert max_td.value == np.iinfo(np.int64).max
+
+        # Beyond lower limit, a NAT before the Overflow
+        assert (min_td - Timedelta(1, 'ns')) is NaT
+
+        with pytest.raises(OverflowError):
+            min_td - Timedelta(2, 'ns')
+
+        with pytest.raises(OverflowError):
+            max_td + Timedelta(1, 'ns')
+
+        # Same tests using the internal nanosecond values
+        td = Timedelta(min_td.value - 1, 'ns')
+        assert td is NaT
+
+        with pytest.raises(OverflowError):
+            Timedelta(min_td.value - 2, 'ns')
+
+        with pytest.raises(OverflowError):
+            Timedelta(max_td.value + 1, 'ns')
+
+    def test_total_seconds_precision(self):
+        # GH 19458
+        assert Timedelta('30S').total_seconds() == 30.0
+        assert Timedelta('0').total_seconds() == 0.0
+        assert Timedelta('-2S').total_seconds() == -2.0
+        assert Timedelta('5.324S').total_seconds() == 5.324
+        assert (Timedelta('30S').total_seconds() - 30.0) < 1e-20
+        assert (30.0 - Timedelta('30S').total_seconds()) < 1e-20
+
+    def test_timedelta_arithmetic(self):
+        data = pd.Series(['nat', '32 days'], dtype='timedelta64[ns]')
+        deltas = [timedelta(days=1), Timedelta(1, unit='D')]
+        for delta in deltas:
+            result_method = data.add(delta)
+            result_operator = data + delta
+            expected = pd.Series(['nat', '33 days'], dtype='timedelta64[ns]')
+            tm.assert_series_equal(result_operator, expected)
+            tm.assert_series_equal(result_method, expected)
+
+            result_method = data.sub(delta)
+            result_operator = data - delta
+            expected = pd.Series(['nat', '31 days'], dtype='timedelta64[ns]')
+            tm.assert_series_equal(result_operator, expected)
+            tm.assert_series_equal(result_method, expected)
+            # GH 9396
+            result_method = data.div(delta)
+            result_operator = data / delta
+            expected = pd.Series([np.nan, 32.], dtype='float64')
+            tm.assert_series_equal(result_operator, expected)
+            tm.assert_series_equal(result_method, expected)
+
+    def test_apply_to_timedelta(self):
+        timedelta_NaT = pd.to_timedelta('NaT')
+
+        list_of_valid_strings = ['00:00:01', '00:00:02']
+        a = pd.to_timedelta(list_of_valid_strings)
+        b = Series(list_of_valid_strings).apply(pd.to_timedelta)
+        # Can't compare until apply on a Series gives the correct dtype
+        # assert_series_equal(a, b)
+
+        list_of_strings = ['00:00:01', np.nan, pd.NaT, timedelta_NaT]
+
+        # TODO: unused?
+        a = pd.to_timedelta(list_of_strings)  # noqa
+        b = Series(list_of_strings).apply(pd.to_timedelta)  # noqa
+        # Can't compare until apply on a Series gives the correct dtype
+        # assert_series_equal(a, b)
+
+    def test_components(self):
+        rng = timedelta_range('1 days, 10:11:12', periods=2, freq='s')
+        rng.components
+
+        # with nat
+        s = Series(rng)
+        s[1] = np.nan
+
+        result = s.dt.components
+        assert not result.iloc[0].isna().all()
+        assert result.iloc[1].isna().all()
+
+
+@pytest.mark.parametrize('value, expected', [
+    (Timedelta('10S'), True),
+    (Timedelta('-10S'), True),
+    (Timedelta(10, unit='ns'), True),
+    (Timedelta(0, unit='ns'), False),
+    (Timedelta(-10, unit='ns'), True),
+    (Timedelta(None), True),
+    (pd.NaT, True),
+])
+def test_truthiness(value, expected):
+    # https://github.com/pandas-dev/pandas/issues/21484
+    assert bool(value) is expected

utils/venv/lib/python3.6/site-packages/pandas/tests/scalar/timestamp/test_arithmetic.py

@@ -0,0 +1,117 @@
+# -*- coding: utf-8 -*-
+from datetime import datetime, timedelta
+
+import numpy as np
+import pytest
+
+from pandas.compat import long
+
+from pandas import Timedelta, Timestamp
+import pandas.util.testing as tm
+
+from pandas.tseries import offsets
+from pandas.tseries.frequencies import to_offset
+
+
+class TestTimestampArithmetic(object):
+    def test_overflow_offset(self):
+        # no overflow expected
+
+        stamp = Timestamp("2000/1/1")
+        offset_no_overflow = to_offset("D") * 100
+
+        expected = Timestamp("2000/04/10")
+        assert stamp + offset_no_overflow == expected
+
+        assert offset_no_overflow + stamp == expected
+
+        expected = Timestamp("1999/09/23")
+        assert stamp - offset_no_overflow == expected
+
+    def test_overflow_offset_raises(self):
+        # xref https://github.com/statsmodels/statsmodels/issues/3374
+        # ends up multiplying really large numbers which overflow
+
+        stamp = Timestamp('2017-01-13 00:00:00', freq='D')
+        offset_overflow = 20169940 * offsets.Day(1)
+        msg = ("the add operation between "
+               r"\<-?\d+ \* Days\> and \d{4}-\d{2}-\d{2} \d{2}:\d{2}:\d{2} "
+               "will overflow")
+
+        with pytest.raises(OverflowError, match=msg):
+            stamp + offset_overflow
+
+        with pytest.raises(OverflowError, match=msg):
+            offset_overflow + stamp
+
+        with pytest.raises(OverflowError, match=msg):
+            stamp - offset_overflow
+
+        # xref https://github.com/pandas-dev/pandas/issues/14080
+        # used to crash, so check for proper overflow exception
+
+        stamp = Timestamp("2000/1/1")
+        offset_overflow = to_offset("D") * 100 ** 25
+
+        with pytest.raises(OverflowError, match=msg):
+            stamp + offset_overflow
+
+        with pytest.raises(OverflowError, match=msg):
+            offset_overflow + stamp
+
+        with pytest.raises(OverflowError, match=msg):
+            stamp - offset_overflow
+
+    def test_delta_preserve_nanos(self):
+        val = Timestamp(long(1337299200000000123))
+        result = val + timedelta(1)
+        assert result.nanosecond == val.nanosecond
+
+    def test_timestamp_sub_datetime(self):
+        dt = datetime(2013, 10, 12)
+        ts = Timestamp(datetime(2013, 10, 13))
+        assert (ts - dt).days == 1
+        assert (dt - ts).days == -1
+
+    def test_addition_subtraction_types(self):
+        # Assert on the types resulting from Timestamp +/- various date/time
+        # objects
+        dt = datetime(2014, 3, 4)
+        td = timedelta(seconds=1)
+        # build a timestamp with a frequency, since then it supports
+        # addition/subtraction of integers
+        ts = Timestamp(dt, freq='D')
+
+        with tm.assert_produces_warning(FutureWarning):
+            # GH#22535 add/sub with integers is deprecated
+            assert type(ts + 1) == Timestamp
+            assert type(ts - 1) == Timestamp
+
+        # Timestamp + datetime not supported, though subtraction is supported
+        # and yields timedelta more tests in tseries/base/tests/test_base.py
+        assert type(ts - dt) == Timedelta
+        assert type(ts + td) == Timestamp
+        assert type(ts - td) == Timestamp
+
+        # Timestamp +/- datetime64 not supported, so not tested (could possibly
+        # assert error raised?)
+        td64 = np.timedelta64(1, 'D')
+        assert type(ts + td64) == Timestamp
+        assert type(ts - td64) == Timestamp
+
+    def test_addition_subtraction_preserve_frequency(self):
+        ts = Timestamp('2014-03-05', freq='D')
+        td = timedelta(days=1)
+        original_freq = ts.freq
+
+        with tm.assert_produces_warning(FutureWarning):
+            # GH#22535 add/sub with integers is deprecated
+            assert (ts + 1).freq == original_freq
+            assert (ts - 1).freq == original_freq
+
+        assert (ts + td).freq == original_freq
+        assert (ts - td).freq == original_freq
+
+        td64 = np.timedelta64(1, 'D')
+        assert (ts + td64).freq == original_freq
+        assert (ts - td64).freq == original_freq

utils/venv/lib/python3.6/site-packages/pandas/tests/scalar/timestamp/test_comparisons.py

@@ -0,0 +1,168 @@
+# -*- coding: utf-8 -*-
+from datetime import datetime
+import operator
+
+import numpy as np
+import pytest
+
+from pandas.compat import PY2, long
+
+from pandas import Timestamp
+
+
+class TestTimestampComparison(object):
+    def test_comparison_object_array(self):
+        # GH#15183
+        ts = Timestamp('2011-01-03 00:00:00-0500', tz='US/Eastern')
+        other = Timestamp('2011-01-01 00:00:00-0500', tz='US/Eastern')
+        naive = Timestamp('2011-01-01 00:00:00')
+
+        arr = np.array([other, ts], dtype=object)
+        res = arr == ts
+        expected = np.array([False, True], dtype=bool)
+        assert (res == expected).all()
+
+        # 2D case
+        arr = np.array([[other, ts],
+                        [ts, other]],
+                       dtype=object)
+        res = arr != ts
+        expected = np.array([[True, False], [False, True]], dtype=bool)
+        assert res.shape == expected.shape
+        assert (res == expected).all()
+
+        # tzaware mismatch
+        arr = np.array([naive], dtype=object)
+        with pytest.raises(TypeError):
+            arr < ts
+
+    def test_comparison(self):
+        # 5-18-2012 00:00:00.000
+        stamp = long(1337299200000000000)
+
+        val = Timestamp(stamp)
+
+        assert val == val
+        assert not val != val
+        assert not val < val
+        assert val <= val
+        assert not val > val
+        assert val >= val
+
+        other = datetime(2012, 5, 18)
+        assert val == other
+        assert not val != other
+        assert not val < other
+        assert val <= other
+        assert not val > other
+        assert val >= other
+
+        other = Timestamp(stamp + 100)
+
+        assert val != other
+        assert val != other
+        assert val < other
+        assert val <= other
+        assert other > val
+        assert other >= val
+
+    def test_compare_invalid(self):
+        # GH#8058
+        val = Timestamp('20130101 12:01:02')
+        assert not val == 'foo'
+        assert not val == 10.0
+        assert not val == 1
+        assert not val == long(1)
+        assert not val == []
+        assert not val == {'foo': 1}
+        assert not val == np.float64(1)
+        assert not val == np.int64(1)
+
+        assert val != 'foo'
+        assert val != 10.0
+        assert val != 1
+        assert val != long(1)
+        assert val != []
+        assert val != {'foo': 1}
+        assert val != np.float64(1)
+        assert val != np.int64(1)
+
+    def test_cant_compare_tz_naive_w_aware(self, utc_fixture):
+        # see GH#1404
+        a = Timestamp('3/12/2012')
+        b = Timestamp('3/12/2012', tz=utc_fixture)
+
+        with pytest.raises(TypeError):
+            a == b
+        with pytest.raises(TypeError):
+            a != b
+        with pytest.raises(TypeError):
+            a < b
+        with pytest.raises(TypeError):
+            a <= b
+        with pytest.raises(TypeError):
+            a > b
+        with pytest.raises(TypeError):
+            a >= b
+
+        with pytest.raises(TypeError):
+            b == a
+        with pytest.raises(TypeError):
+            b != a
+        with pytest.raises(TypeError):
+            b < a
+        with pytest.raises(TypeError):
+            b <= a
+        with pytest.raises(TypeError):
+            b > a
+        with pytest.raises(TypeError):
+            b >= a
+
+        if PY2:
+            with pytest.raises(TypeError):
+                a == b.to_pydatetime()
+            with pytest.raises(TypeError):
+                a.to_pydatetime() == b
+        else:
+            assert not a == b.to_pydatetime()
+            assert not a.to_pydatetime() == b
+
+    def test_timestamp_compare_scalars(self):
+        # case where ndim == 0
+        lhs = np.datetime64(datetime(2013, 12, 6))
+        rhs = Timestamp('now')
+        nat = Timestamp('nat')
+
+        ops = {'gt': 'lt',
+               'lt': 'gt',
+               'ge': 'le',
+               'le': 'ge',
+               'eq': 'eq',
+               'ne': 'ne'}
+
+        for left, right in ops.items():
+            left_f = getattr(operator, left)
+            right_f = getattr(operator, right)
+            expected = left_f(lhs, rhs)
+
+            result = right_f(rhs, lhs)
+            assert result == expected
+
+            expected = left_f(rhs, nat)
+            result = right_f(nat, rhs)
+            assert result == expected
+
+    def test_timestamp_compare_with_early_datetime(self):
+        # e.g. datetime.min
+        stamp = Timestamp('2012-01-01')
+
+        assert not stamp == datetime.min
+        assert not stamp == datetime(1600, 1, 1)
+        assert not stamp == datetime(2700, 1, 1)
+        assert stamp != datetime.min
+        assert stamp != datetime(1600, 1, 1)
+        assert stamp != datetime(2700, 1, 1)
+        assert stamp > datetime(1600, 1, 1)
+        assert stamp >= datetime(1600, 1, 1)
+        assert stamp < datetime(2700, 1, 1)
+        assert stamp <= datetime(2700, 1, 1)

utils/venv/lib/python3.6/site-packages/pandas/tests/scalar/timestamp/test_rendering.py

@@ -0,0 +1,96 @@
+# -*- coding: utf-8 -*-
+
+from distutils.version import LooseVersion
+import pprint
+
+import dateutil
+import pytest
+import pytz  # noqa  # a test below uses pytz but only inside a `eval` call
+
+from pandas import Timestamp
+
+
+class TestTimestampRendering(object):
+
+    # dateutil zone change (only matters for repr)
+    if LooseVersion(dateutil.__version__) >= LooseVersion('2.6.0'):
+        timezones = ['UTC', 'Asia/Tokyo', 'US/Eastern',
+                     'dateutil/US/Pacific']
+    else:
+        timezones = ['UTC', 'Asia/Tokyo', 'US/Eastern',
+                     'dateutil/America/Los_Angeles']
+
+    @pytest.mark.parametrize('tz', timezones)
+    @pytest.mark.parametrize('freq', ['D', 'M', 'S', 'N'])
+    @pytest.mark.parametrize('date', ['2014-03-07', '2014-01-01 09:00',
+                                      '2014-01-01 00:00:00.000000001'])
+    def test_repr(self, date, freq, tz):
+        # avoid to match with timezone name
+        freq_repr = "'{0}'".format(freq)
+        if tz.startswith('dateutil'):
+            tz_repr = tz.replace('dateutil', '')
+        else:
+            tz_repr = tz
+
+        date_only = Timestamp(date)
+        assert date in repr(date_only)
+        assert tz_repr not in repr(date_only)
+        assert freq_repr not in repr(date_only)
+        assert date_only == eval(repr(date_only))
+
+        date_tz = Timestamp(date, tz=tz)
+        assert date in repr(date_tz)
+        assert tz_repr in repr(date_tz)
+        assert freq_repr not in repr(date_tz)
+        assert date_tz == eval(repr(date_tz))
+
+        date_freq = Timestamp(date, freq=freq)
+        assert date in repr(date_freq)
+        assert tz_repr not in repr(date_freq)
+        assert freq_repr in repr(date_freq)
+        assert date_freq == eval(repr(date_freq))
+
+        date_tz_freq = Timestamp(date, tz=tz, freq=freq)
+        assert date in repr(date_tz_freq)
+        assert tz_repr in repr(date_tz_freq)
+        assert freq_repr in repr(date_tz_freq)
+        assert date_tz_freq == eval(repr(date_tz_freq))
+
+    def test_repr_utcoffset(self):
+        # This can cause the tz field to be populated, but it's redundant to
+        # include this information in the date-string.
+        date_with_utc_offset = Timestamp('2014-03-13 00:00:00-0400', tz=None)
+        assert '2014-03-13 00:00:00-0400' in repr(date_with_utc_offset)
+        assert 'tzoffset' not in repr(date_with_utc_offset)
+        assert 'pytz.FixedOffset(-240)' in repr(date_with_utc_offset)
+        expr = repr(date_with_utc_offset).replace("'pytz.FixedOffset(-240)'",
+                                                  'pytz.FixedOffset(-240)')
+        assert date_with_utc_offset == eval(expr)
+
+    def test_timestamp_repr_pre1900(self):
+        # pre-1900
+        stamp = Timestamp('1850-01-01', tz='US/Eastern')
+        repr(stamp)
+
+        iso8601 = '1850-01-01 01:23:45.012345'
+        stamp = Timestamp(iso8601, tz='US/Eastern')
+        result = repr(stamp)
+        assert iso8601 in result
+
+    def test_pprint(self):
+        # GH#12622
+        nested_obj = {'foo': 1,
+                      'bar': [{'w': {'a': Timestamp('2011-01-01')}}] * 10}
+        result = pprint.pformat(nested_obj, width=50)
+        expected = r"""{'bar': [{'w': {'a': Timestamp('2011-01-01 00:00:00')}},
+         {'w': {'a': Timestamp('2011-01-01 00:00:00')}},
+         {'w': {'a': Timestamp('2011-01-01 00:00:00')}},
+         {'w': {'a': Timestamp('2011-01-01 00:00:00')}},
+         {'w': {'a': Timestamp('2011-01-01 00:00:00')}},
+         {'w': {'a': Timestamp('2011-01-01 00:00:00')}},
+         {'w': {'a': Timestamp('2011-01-01 00:00:00')}},
+         {'w': {'a': Timestamp('2011-01-01 00:00:00')}},
+         {'w': {'a': Timestamp('2011-01-01 00:00:00')}},
+         {'w': {'a': Timestamp('2011-01-01 00:00:00')}}],
+ 'foo': 1}"""
+        assert result == expected

utils/venv/lib/python3.6/site-packages/pandas/tests/scalar/timestamp/test_timestamp.py

@@ -0,0 +1,964 @@
+""" test the scalar Timestamp """
+
+import calendar
+from datetime import datetime, timedelta
+import locale
+import unicodedata
+
+import dateutil
+from dateutil.tz import tzutc
+import numpy as np
+import pytest
+import pytz
+from pytz import timezone, utc
+
+from pandas._libs.tslibs import conversion
+from pandas._libs.tslibs.timezones import dateutil_gettz as gettz, get_timezone
+from pandas.compat import PY2, PY3, long
+from pandas.compat.numpy import np_datetime64_compat
+from pandas.errors import OutOfBoundsDatetime
+import pandas.util._test_decorators as td
+
+from pandas import NaT, Period, Timedelta, Timestamp
+import pandas.util.testing as tm
+
+from pandas.tseries import offsets
+
+
+class TestTimestampProperties(object):
+
+    def test_properties_business(self):
+        ts = Timestamp('2017-10-01', freq='B')
+        control = Timestamp('2017-10-01')
+        assert ts.dayofweek == 6
+        assert not ts.is_month_start    # not a weekday
+        assert not ts.is_quarter_start  # not a weekday
+        # Control case: non-business is month/qtr start
+        assert control.is_month_start
+        assert control.is_quarter_start
+
+        ts = Timestamp('2017-09-30', freq='B')
+        control = Timestamp('2017-09-30')
+        assert ts.dayofweek == 5
+        assert not ts.is_month_end    # not a weekday
+        assert not ts.is_quarter_end  # not a weekday
+        # Control case: non-business is month/qtr start
+        assert control.is_month_end
+        assert control.is_quarter_end
+
+    def test_fields(self):
+        def check(value, equal):
+            # that we are int/long like
+            assert isinstance(value, (int, long))
+            assert value == equal
+
+        # GH 10050
+        ts = Timestamp('2015-05-10 09:06:03.000100001')
+        check(ts.year, 2015)
+        check(ts.month, 5)
+        check(ts.day, 10)
+        check(ts.hour, 9)
+        check(ts.minute, 6)
+        check(ts.second, 3)
+        pytest.raises(AttributeError, lambda: ts.millisecond)
+        check(ts.microsecond, 100)
+        check(ts.nanosecond, 1)
+        check(ts.dayofweek, 6)
+        check(ts.quarter, 2)
+        check(ts.dayofyear, 130)
+        check(ts.week, 19)
+        check(ts.daysinmonth, 31)
+        check(ts.daysinmonth, 31)
+
+        # GH 13303
+        ts = Timestamp('2014-12-31 23:59:00-05:00', tz='US/Eastern')
+        check(ts.year, 2014)
+        check(ts.month, 12)
+        check(ts.day, 31)
+        check(ts.hour, 23)
+        check(ts.minute, 59)
+        check(ts.second, 0)
+        pytest.raises(AttributeError, lambda: ts.millisecond)
+        check(ts.microsecond, 0)
+        check(ts.nanosecond, 0)
+        check(ts.dayofweek, 2)
+        check(ts.quarter, 4)
+        check(ts.dayofyear, 365)
+        check(ts.week, 1)
+        check(ts.daysinmonth, 31)
+
+        ts = Timestamp('2014-01-01 00:00:00+01:00')
+        starts = ['is_month_start', 'is_quarter_start', 'is_year_start']
+        for start in starts:
+            assert getattr(ts, start)
+        ts = Timestamp('2014-12-31 23:59:59+01:00')
+        ends = ['is_month_end', 'is_year_end', 'is_quarter_end']
+        for end in ends:
+            assert getattr(ts, end)
+
+    # GH 12806
+    @pytest.mark.parametrize('data',
+                             [Timestamp('2017-08-28 23:00:00'),
+                              Timestamp('2017-08-28 23:00:00', tz='EST')])
+    @pytest.mark.parametrize('time_locale', [
+        None] if tm.get_locales() is None else [None] + tm.get_locales())
+    def test_names(self, data, time_locale):
+        # GH 17354
+        # Test .weekday_name, .day_name(), .month_name
+        with tm.assert_produces_warning(FutureWarning,
+                                        check_stacklevel=False):
+            assert data.weekday_name == 'Monday'
+        if time_locale is None:
+            expected_day = 'Monday'
+            expected_month = 'August'
+        else:
+            with tm.set_locale(time_locale, locale.LC_TIME):
+                expected_day = calendar.day_name[0].capitalize()
+                expected_month = calendar.month_name[8].capitalize()
+
+        result_day = data.day_name(time_locale)
+        result_month = data.month_name(time_locale)
+
+        # Work around https://github.com/pandas-dev/pandas/issues/22342
+        # different normalizations
+
+        if not PY2:
+            expected_day = unicodedata.normalize("NFD", expected_day)
+            expected_month = unicodedata.normalize("NFD", expected_month)
+
+            result_day = unicodedata.normalize("NFD", result_day,)
+            result_month = unicodedata.normalize("NFD", result_month)
+
+        assert result_day == expected_day
+        assert result_month == expected_month
+
+        # Test NaT
+        nan_ts = Timestamp(NaT)
+        assert np.isnan(nan_ts.day_name(time_locale))
+        assert np.isnan(nan_ts.month_name(time_locale))
+
+    def test_is_leap_year(self, tz_naive_fixture):
+        tz = tz_naive_fixture
+        # GH 13727
+        dt = Timestamp('2000-01-01 00:00:00', tz=tz)
+        assert dt.is_leap_year
+        assert isinstance(dt.is_leap_year, bool)
+
+        dt = Timestamp('1999-01-01 00:00:00', tz=tz)
+        assert not dt.is_leap_year
+
+        dt = Timestamp('2004-01-01 00:00:00', tz=tz)
+        assert dt.is_leap_year
+
+        dt = Timestamp('2100-01-01 00:00:00', tz=tz)
+        assert not dt.is_leap_year
+
+    def test_woy_boundary(self):
+        # make sure weeks at year boundaries are correct
+        d = datetime(2013, 12, 31)
+        result = Timestamp(d).week
+        expected = 1  # ISO standard
+        assert result == expected
+
+        d = datetime(2008, 12, 28)
+        result = Timestamp(d).week
+        expected = 52  # ISO standard
+        assert result == expected
+
+        d = datetime(2009, 12, 31)
+        result = Timestamp(d).week
+        expected = 53  # ISO standard
+        assert result == expected
+
+        d = datetime(2010, 1, 1)
+        result = Timestamp(d).week
+        expected = 53  # ISO standard
+        assert result == expected
+
+        d = datetime(2010, 1, 3)
+        result = Timestamp(d).week
+        expected = 53  # ISO standard
+        assert result == expected
+
+        result = np.array([Timestamp(datetime(*args)).week
+                           for args in [(2000, 1, 1), (2000, 1, 2), (
+                               2005, 1, 1), (2005, 1, 2)]])
+        assert (result == [52, 52, 53, 53]).all()
+
+    def test_resolution(self):
+        # GH#21336, GH#21365
+        dt = Timestamp('2100-01-01 00:00:00')
+        assert dt.resolution == Timedelta(nanoseconds=1)
+
+
+class TestTimestampConstructors(object):
+
+    def test_constructor(self):
+        base_str = '2014-07-01 09:00'
+        base_dt = datetime(2014, 7, 1, 9)
+        base_expected = 1404205200000000000
+
+        # confirm base representation is correct
+        import calendar
+        assert (calendar.timegm(base_dt.timetuple()) * 1000000000 ==
+                base_expected)
+
+        tests = [(base_str, base_dt, base_expected),
+                 ('2014-07-01 10:00', datetime(2014, 7, 1, 10),
+                  base_expected + 3600 * 1000000000),
+                 ('2014-07-01 09:00:00.000008000',
+                  datetime(2014, 7, 1, 9, 0, 0, 8),
+                  base_expected + 8000),
+                 ('2014-07-01 09:00:00.000000005',
+                  Timestamp('2014-07-01 09:00:00.000000005'),
+                  base_expected + 5)]
+
+        timezones = [(None, 0), ('UTC', 0), (pytz.utc, 0), ('Asia/Tokyo', 9),
+                     ('US/Eastern', -4), ('dateutil/US/Pacific', -7),
+                     (pytz.FixedOffset(-180), -3),
+                     (dateutil.tz.tzoffset(None, 18000), 5)]
+
+        for date_str, date, expected in tests:
+            for result in [Timestamp(date_str), Timestamp(date)]:
+                # only with timestring
+                assert result.value == expected
+                assert conversion.pydt_to_i8(result) == expected
+
+                # re-creation shouldn't affect to internal value
+                result = Timestamp(result)
+                assert result.value == expected
+                assert conversion.pydt_to_i8(result) == expected
+
+            # with timezone
+            for tz, offset in timezones:
+                for result in [Timestamp(date_str, tz=tz), Timestamp(date,
+                                                                     tz=tz)]:
+                    expected_tz = expected - offset * 3600 * 1000000000
+                    assert result.value == expected_tz
+                    assert conversion.pydt_to_i8(result) == expected_tz
+
+                    # should preserve tz
+                    result = Timestamp(result)
+                    assert result.value == expected_tz
+                    assert conversion.pydt_to_i8(result) == expected_tz
+
+                    # should convert to UTC
+                    if tz is not None:
+                        result = Timestamp(result).tz_convert('UTC')
+                    else:
+                        result = Timestamp(result, tz='UTC')
+                    expected_utc = expected - offset * 3600 * 1000000000
+                    assert result.value == expected_utc
+                    assert conversion.pydt_to_i8(result) == expected_utc
+
+    def test_constructor_with_stringoffset(self):
+        # GH 7833
+        base_str = '2014-07-01 11:00:00+02:00'
+        base_dt = datetime(2014, 7, 1, 9)
+        base_expected = 1404205200000000000
+
+        # confirm base representation is correct
+        import calendar
+        assert (calendar.timegm(base_dt.timetuple()) * 1000000000 ==
+                base_expected)
+
+        tests = [(base_str, base_expected),
+                 ('2014-07-01 12:00:00+02:00',
+                  base_expected + 3600 * 1000000000),
+                 ('2014-07-01 11:00:00.000008000+02:00', base_expected + 8000),
+                 ('2014-07-01 11:00:00.000000005+02:00', base_expected + 5)]
+
+        timezones = [(None, 0), ('UTC', 0), (pytz.utc, 0), ('Asia/Tokyo', 9),
+                     ('US/Eastern', -4), ('dateutil/US/Pacific', -7),
+                     (pytz.FixedOffset(-180), -3),
+                     (dateutil.tz.tzoffset(None, 18000), 5)]
+
+        for date_str, expected in tests:
+            for result in [Timestamp(date_str)]:
+                # only with timestring
+                assert result.value == expected
+                assert conversion.pydt_to_i8(result) == expected
+
+                # re-creation shouldn't affect to internal value
+                result = Timestamp(result)
+                assert result.value == expected
+                assert conversion.pydt_to_i8(result) == expected
+
+            # with timezone
+            for tz, offset in timezones:
+                result = Timestamp(date_str, tz=tz)
+                expected_tz = expected
+                assert result.value == expected_tz
+                assert conversion.pydt_to_i8(result) == expected_tz
+
+                # should preserve tz
+                result = Timestamp(result)
+                assert result.value == expected_tz
+                assert conversion.pydt_to_i8(result) == expected_tz
+
+                # should convert to UTC
+                result = Timestamp(result).tz_convert('UTC')
+                expected_utc = expected
+                assert result.value == expected_utc
+                assert conversion.pydt_to_i8(result) == expected_utc
+
+        # This should be 2013-11-01 05:00 in UTC
+        # converted to Chicago tz
+        result = Timestamp('2013-11-01 00:00:00-0500', tz='America/Chicago')
+        assert result.value == Timestamp('2013-11-01 05:00').value
+        expected = "Timestamp('2013-11-01 00:00:00-0500', tz='America/Chicago')"  # noqa
+        assert repr(result) == expected
+        assert result == eval(repr(result))
+
+        # This should be 2013-11-01 05:00 in UTC
+        # converted to Tokyo tz (+09:00)
+        result = Timestamp('2013-11-01 00:00:00-0500', tz='Asia/Tokyo')
+        assert result.value == Timestamp('2013-11-01 05:00').value
+        expected = "Timestamp('2013-11-01 14:00:00+0900', tz='Asia/Tokyo')"
+        assert repr(result) == expected
+        assert result == eval(repr(result))
+
+        # GH11708
+        # This should be 2015-11-18 10:00 in UTC
+        # converted to Asia/Katmandu
+        result = Timestamp("2015-11-18 15:45:00+05:45", tz="Asia/Katmandu")
+        assert result.value == Timestamp("2015-11-18 10:00").value
+        expected = "Timestamp('2015-11-18 15:45:00+0545', tz='Asia/Katmandu')"
+        assert repr(result) == expected
+        assert result == eval(repr(result))
+
+        # This should be 2015-11-18 10:00 in UTC
+        # converted to Asia/Kolkata
+        result = Timestamp("2015-11-18 15:30:00+05:30", tz="Asia/Kolkata")
+        assert result.value == Timestamp("2015-11-18 10:00").value
+        expected = "Timestamp('2015-11-18 15:30:00+0530', tz='Asia/Kolkata')"
+        assert repr(result) == expected
+        assert result == eval(repr(result))
+
+    def test_constructor_invalid(self):
+        with pytest.raises(TypeError, match='Cannot convert input'):
+            Timestamp(slice(2))
+        with pytest.raises(ValueError, match='Cannot convert Period'):
+            Timestamp(Period('1000-01-01'))
+
+    def test_constructor_invalid_tz(self):
+        # GH#17690
+        with pytest.raises(TypeError, match='must be a datetime.tzinfo'):
+            Timestamp('2017-10-22', tzinfo='US/Eastern')
+
+        with pytest.raises(ValueError, match='at most one of'):
+            Timestamp('2017-10-22', tzinfo=utc, tz='UTC')
+
+        with pytest.raises(ValueError, match="Invalid frequency:"):
+            # GH#5168
+            # case where user tries to pass tz as an arg, not kwarg, gets
+            # interpreted as a `freq`
+            Timestamp('2012-01-01', 'US/Pacific')
+
+    def test_constructor_tz_or_tzinfo(self):
+        # GH#17943, GH#17690, GH#5168
+        stamps = [Timestamp(year=2017, month=10, day=22, tz='UTC'),
+                  Timestamp(year=2017, month=10, day=22, tzinfo=utc),
+                  Timestamp(year=2017, month=10, day=22, tz=utc),
+                  Timestamp(datetime(2017, 10, 22), tzinfo=utc),
+                  Timestamp(datetime(2017, 10, 22), tz='UTC'),
+                  Timestamp(datetime(2017, 10, 22), tz=utc)]
+        assert all(ts == stamps[0] for ts in stamps)
+
+    def test_constructor_positional(self):
+        # see gh-10758
+        with pytest.raises(TypeError):
+            Timestamp(2000, 1)
+        with pytest.raises(ValueError):
+            Timestamp(2000, 0, 1)
+        with pytest.raises(ValueError):
+            Timestamp(2000, 13, 1)
+        with pytest.raises(ValueError):
+            Timestamp(2000, 1, 0)
+        with pytest.raises(ValueError):
+            Timestamp(2000, 1, 32)
+
+        # see gh-11630
+        assert (repr(Timestamp(2015, 11, 12)) ==
+                repr(Timestamp('20151112')))
+        assert (repr(Timestamp(2015, 11, 12, 1, 2, 3, 999999)) ==
+                repr(Timestamp('2015-11-12 01:02:03.999999')))
+
+    def test_constructor_keyword(self):
+        # GH 10758
+        with pytest.raises(TypeError):
+            Timestamp(year=2000, month=1)
+        with pytest.raises(ValueError):
+            Timestamp(year=2000, month=0, day=1)
+        with pytest.raises(ValueError):
+            Timestamp(year=2000, month=13, day=1)
+        with pytest.raises(ValueError):
+            Timestamp(year=2000, month=1, day=0)
+        with pytest.raises(ValueError):
+            Timestamp(year=2000, month=1, day=32)
+
+        assert (repr(Timestamp(year=2015, month=11, day=12)) ==
+                repr(Timestamp('20151112')))
+
+        assert (repr(Timestamp(year=2015, month=11, day=12, hour=1, minute=2,
+                               second=3, microsecond=999999)) ==
+                repr(Timestamp('2015-11-12 01:02:03.999999')))
+
+    def test_constructor_fromordinal(self):
+        base = datetime(2000, 1, 1)
+
+        ts = Timestamp.fromordinal(base.toordinal(), freq='D')
+        assert base == ts
+        assert ts.freq == 'D'
+        assert base.toordinal() == ts.toordinal()
+
+        ts = Timestamp.fromordinal(base.toordinal(), tz='US/Eastern')
+        assert Timestamp('2000-01-01', tz='US/Eastern') == ts
+        assert base.toordinal() == ts.toordinal()
+
+        # GH#3042
+        dt = datetime(2011, 4, 16, 0, 0)
+        ts = Timestamp.fromordinal(dt.toordinal())
+        assert ts.to_pydatetime() == dt
+
+        # with a tzinfo
+        stamp = Timestamp('2011-4-16', tz='US/Eastern')
+        dt_tz = stamp.to_pydatetime()
+        ts = Timestamp.fromordinal(dt_tz.toordinal(), tz='US/Eastern')
+        assert ts.to_pydatetime() == dt_tz
+
+    @pytest.mark.parametrize('result', [
+        Timestamp(datetime(2000, 1, 2, 3, 4, 5, 6), nanosecond=1),
+        Timestamp(year=2000, month=1, day=2, hour=3, minute=4, second=5,
+                  microsecond=6, nanosecond=1),
+        Timestamp(year=2000, month=1, day=2, hour=3, minute=4, second=5,
+                  microsecond=6, nanosecond=1, tz='UTC'),
+        Timestamp(2000, 1, 2, 3, 4, 5, 6, 1, None),
+        Timestamp(2000, 1, 2, 3, 4, 5, 6, 1, pytz.UTC)])
+    def test_constructor_nanosecond(self, result):
+        # GH 18898
+        expected = Timestamp(datetime(2000, 1, 2, 3, 4, 5, 6), tz=result.tz)
+        expected = expected + Timedelta(nanoseconds=1)
+        assert result == expected
+
+    @pytest.mark.parametrize('z', ['Z0', 'Z00'])
+    def test_constructor_invalid_Z0_isostring(self, z):
+        # GH 8910
+        with pytest.raises(ValueError):
+            Timestamp('2014-11-02 01:00{}'.format(z))
+
+    @pytest.mark.parametrize('arg', ['year', 'month', 'day', 'hour', 'minute',
+                                     'second', 'microsecond', 'nanosecond'])
+    def test_invalid_date_kwarg_with_string_input(self, arg):
+        kwarg = {arg: 1}
+        with pytest.raises(ValueError):
+            Timestamp('2010-10-10 12:59:59.999999999', **kwarg)
+
+    def test_out_of_bounds_value(self):
+        one_us = np.timedelta64(1).astype('timedelta64[us]')
+
+        # By definition we can't go out of bounds in [ns], so we
+        # convert the datetime64s to [us] so we can go out of bounds
+        min_ts_us = np.datetime64(Timestamp.min).astype('M8[us]')
+        max_ts_us = np.datetime64(Timestamp.max).astype('M8[us]')
+
+        # No error for the min/max datetimes
+        Timestamp(min_ts_us)
+        Timestamp(max_ts_us)
+
+        # One us less than the minimum is an error
+        with pytest.raises(ValueError):
+            Timestamp(min_ts_us - one_us)
+
+        # One us more than the maximum is an error
+        with pytest.raises(ValueError):
+            Timestamp(max_ts_us + one_us)
+
+    def test_out_of_bounds_string(self):
+        with pytest.raises(ValueError):
+            Timestamp('1676-01-01')
+        with pytest.raises(ValueError):
+            Timestamp('2263-01-01')
+
+    def test_barely_out_of_bounds(self):
+        # GH#19529
+        # GH#19382 close enough to bounds that dropping nanos would result
+        # in an in-bounds datetime
+        with pytest.raises(OutOfBoundsDatetime):
+            Timestamp('2262-04-11 23:47:16.854775808')
+
+    def test_bounds_with_different_units(self):
+        out_of_bounds_dates = ('1677-09-21', '2262-04-12')
+
+        time_units = ('D', 'h', 'm', 's', 'ms', 'us')
+
+        for date_string in out_of_bounds_dates:
+            for unit in time_units:
+                dt64 = np.datetime64(date_string, dtype='M8[%s]' % unit)
+                with pytest.raises(ValueError):
+                    Timestamp(dt64)
+
+        in_bounds_dates = ('1677-09-23', '2262-04-11')
+
+        for date_string in in_bounds_dates:
+            for unit in time_units:
+                dt64 = np.datetime64(date_string, dtype='M8[%s]' % unit)
+                Timestamp(dt64)
+
+    def test_min_valid(self):
+        # Ensure that Timestamp.min is a valid Timestamp
+        Timestamp(Timestamp.min)
+
+    def test_max_valid(self):
+        # Ensure that Timestamp.max is a valid Timestamp
+        Timestamp(Timestamp.max)
+
+    def test_now(self):
+        # GH#9000
+        ts_from_string = Timestamp('now')
+        ts_from_method = Timestamp.now()
+        ts_datetime = datetime.now()
+
+        ts_from_string_tz = Timestamp('now', tz='US/Eastern')
+        ts_from_method_tz = Timestamp.now(tz='US/Eastern')
+
+        # Check that the delta between the times is less than 1s (arbitrarily
+        # small)
+        delta = Timedelta(seconds=1)
+        assert abs(ts_from_method - ts_from_string) < delta
+        assert abs(ts_datetime - ts_from_method) < delta
+        assert abs(ts_from_method_tz - ts_from_string_tz) < delta
+        assert (abs(ts_from_string_tz.tz_localize(None) -
+                    ts_from_method_tz.tz_localize(None)) < delta)
+
+    def test_today(self):
+        ts_from_string = Timestamp('today')
+        ts_from_method = Timestamp.today()
+        ts_datetime = datetime.today()
+
+        ts_from_string_tz = Timestamp('today', tz='US/Eastern')
+        ts_from_method_tz = Timestamp.today(tz='US/Eastern')
+
+        # Check that the delta between the times is less than 1s (arbitrarily
+        # small)
+        delta = Timedelta(seconds=1)
+        assert abs(ts_from_method - ts_from_string) < delta
+        assert abs(ts_datetime - ts_from_method) < delta
+        assert abs(ts_from_method_tz - ts_from_string_tz) < delta
+        assert (abs(ts_from_string_tz.tz_localize(None) -
+                    ts_from_method_tz.tz_localize(None)) < delta)
+
+    @pytest.mark.parametrize('tz', [None, pytz.timezone('US/Pacific')])
+    def test_disallow_setting_tz(self, tz):
+        # GH 3746
+        ts = Timestamp('2010')
+        with pytest.raises(AttributeError):
+            ts.tz = tz
+
+    @pytest.mark.parametrize('offset', ['+0300', '+0200'])
+    def test_construct_timestamp_near_dst(self, offset):
+        # GH 20854
+        expected = Timestamp('2016-10-30 03:00:00{}'.format(offset),
+                             tz='Europe/Helsinki')
+        result = Timestamp(expected).tz_convert('Europe/Helsinki')
+        assert result == expected
+
+    @pytest.mark.parametrize('arg', [
+        '2013/01/01 00:00:00+09:00', '2013-01-01 00:00:00+09:00'])
+    def test_construct_with_different_string_format(self, arg):
+        # GH 12064
+        result = Timestamp(arg)
+        expected = Timestamp(datetime(2013, 1, 1), tz=pytz.FixedOffset(540))
+        assert result == expected
+
+    def test_construct_timestamp_preserve_original_frequency(self):
+        # GH 22311
+        result = Timestamp(Timestamp('2010-08-08', freq='D')).freq
+        expected = offsets.Day()
+        assert result == expected
+
+    def test_constructor_invalid_frequency(self):
+        # GH 22311
+        with pytest.raises(ValueError, match="Invalid frequency:"):
+            Timestamp('2012-01-01', freq=[])
+
+    @pytest.mark.parametrize('box', [datetime, Timestamp])
+    def test_depreciate_tz_and_tzinfo_in_datetime_input(self, box):
+        # GH 23579
+        kwargs = {'year': 2018, 'month': 1, 'day': 1, 'tzinfo': utc}
+        with tm.assert_produces_warning(FutureWarning):
+            Timestamp(box(**kwargs), tz='US/Pacific')
+
+    def test_dont_convert_dateutil_utc_to_pytz_utc(self):
+        result = Timestamp(datetime(2018, 1, 1), tz=tzutc())
+        expected = Timestamp(datetime(2018, 1, 1)).tz_localize(tzutc())
+        assert result == expected
+
+
+class TestTimestamp(object):
+
+    def test_tz(self):
+        tstr = '2014-02-01 09:00'
+        ts = Timestamp(tstr)
+        local = ts.tz_localize('Asia/Tokyo')
+        assert local.hour == 9
+        assert local == Timestamp(tstr, tz='Asia/Tokyo')
+        conv = local.tz_convert('US/Eastern')
+        assert conv == Timestamp('2014-01-31 19:00', tz='US/Eastern')
+        assert conv.hour == 19
+
+        # preserves nanosecond
+        ts = Timestamp(tstr) + offsets.Nano(5)
+        local = ts.tz_localize('Asia/Tokyo')
+        assert local.hour == 9
+        assert local.nanosecond == 5
+        conv = local.tz_convert('US/Eastern')
+        assert conv.nanosecond == 5
+        assert conv.hour == 19
+
+    def test_utc_z_designator(self):
+        assert get_timezone(Timestamp('2014-11-02 01:00Z').tzinfo) is utc
+
+    def test_asm8(self):
+        np.random.seed(7960929)
+        ns = [Timestamp.min.value, Timestamp.max.value, 1000]
+
+        for n in ns:
+            assert (Timestamp(n).asm8.view('i8') ==
+                    np.datetime64(n, 'ns').view('i8') == n)
+
+        assert (Timestamp('nat').asm8.view('i8') ==
+                np.datetime64('nat', 'ns').view('i8'))
+
+    def test_class_ops_pytz(self):
+        def compare(x, y):
+            assert (int(Timestamp(x).value / 1e9) ==
+                    int(Timestamp(y).value / 1e9))
+
+        compare(Timestamp.now(), datetime.now())
+        compare(Timestamp.now('UTC'), datetime.now(timezone('UTC')))
+        compare(Timestamp.utcnow(), datetime.utcnow())
+        compare(Timestamp.today(), datetime.today())
+        current_time = calendar.timegm(datetime.now().utctimetuple())
+        compare(Timestamp.utcfromtimestamp(current_time),
+                datetime.utcfromtimestamp(current_time))
+        compare(Timestamp.fromtimestamp(current_time),
+                datetime.fromtimestamp(current_time))
+
+        date_component = datetime.utcnow()
+        time_component = (date_component + timedelta(minutes=10)).time()
+        compare(Timestamp.combine(date_component, time_component),
+                datetime.combine(date_component, time_component))
+
+    def test_class_ops_dateutil(self):
+        def compare(x, y):
+            assert (int(np.round(Timestamp(x).value / 1e9)) ==
+                    int(np.round(Timestamp(y).value / 1e9)))
+
+        compare(Timestamp.now(), datetime.now())
+        compare(Timestamp.now('UTC'), datetime.now(tzutc()))
+        compare(Timestamp.utcnow(), datetime.utcnow())
+        compare(Timestamp.today(), datetime.today())
+        current_time = calendar.timegm(datetime.now().utctimetuple())
+        compare(Timestamp.utcfromtimestamp(current_time),
+                datetime.utcfromtimestamp(current_time))
+        compare(Timestamp.fromtimestamp(current_time),
+                datetime.fromtimestamp(current_time))
+
+        date_component = datetime.utcnow()
+        time_component = (date_component + timedelta(minutes=10)).time()
+        compare(Timestamp.combine(date_component, time_component),
+                datetime.combine(date_component, time_component))
+
+    def test_basics_nanos(self):
+        val = np.int64(946684800000000000).view('M8[ns]')
+        stamp = Timestamp(val.view('i8') + 500)
+        assert stamp.year == 2000
+        assert stamp.month == 1
+        assert stamp.microsecond == 0
+        assert stamp.nanosecond == 500
+
+        # GH 14415
+        val = np.iinfo(np.int64).min + 80000000000000
+        stamp = Timestamp(val)
+        assert stamp.year == 1677
+        assert stamp.month == 9
+        assert stamp.day == 21
+        assert stamp.microsecond == 145224
+        assert stamp.nanosecond == 192
+
+    @pytest.mark.parametrize('value, check_kwargs', [
+        [946688461000000000, {}],
+        [946688461000000000 / long(1000), dict(unit='us')],
+        [946688461000000000 / long(1000000), dict(unit='ms')],
+        [946688461000000000 / long(1000000000), dict(unit='s')],
+        [10957, dict(unit='D', h=0)],
+        pytest.param((946688461000000000 + 500000) / long(1000000000),
+                     dict(unit='s', us=499, ns=964),
+                     marks=pytest.mark.skipif(not PY3,
+                                              reason='using truediv, so these'
+                                                     ' are like floats')),
+        pytest.param((946688461000000000 + 500000000) / long(1000000000),
+                     dict(unit='s', us=500000),
+                     marks=pytest.mark.skipif(not PY3,
+                                              reason='using truediv, so these'
+                                                     ' are like floats')),
+        pytest.param((946688461000000000 + 500000) / long(1000000),
+                     dict(unit='ms', us=500),
+                     marks=pytest.mark.skipif(not PY3,
+                                              reason='using truediv, so these'
+                                                     ' are like floats')),
+        pytest.param((946688461000000000 + 500000) / long(1000000000),
+                     dict(unit='s'),
+                     marks=pytest.mark.skipif(PY3,
+                                              reason='get chopped in py2')),
+        pytest.param((946688461000000000 + 500000000) / long(1000000000),
+                     dict(unit='s'),
+                     marks=pytest.mark.skipif(PY3,
+                                              reason='get chopped in py2')),
+        pytest.param((946688461000000000 + 500000) / long(1000000),
+                     dict(unit='ms'),
+                     marks=pytest.mark.skipif(PY3,
+                                              reason='get chopped in py2')),
+        [(946688461000000000 + 500000) / long(1000), dict(unit='us', us=500)],
+        [(946688461000000000 + 500000000) / long(1000000),
+         dict(unit='ms', us=500000)],
+        [946688461000000000 / 1000.0 + 5, dict(unit='us', us=5)],
+        [946688461000000000 / 1000.0 + 5000, dict(unit='us', us=5000)],
+        [946688461000000000 / 1000000.0 + 0.5, dict(unit='ms', us=500)],
+        [946688461000000000 / 1000000.0 + 0.005, dict(unit='ms', us=5, ns=5)],
+        [946688461000000000 / 1000000000.0 + 0.5, dict(unit='s', us=500000)],
+        [10957 + 0.5, dict(unit='D', h=12)]])
+    def test_unit(self, value, check_kwargs):
+        def check(value, unit=None, h=1, s=1, us=0, ns=0):
+            stamp = Timestamp(value, unit=unit)
+            assert stamp.year == 2000
+            assert stamp.month == 1
+            assert stamp.day == 1
+            assert stamp.hour == h
+            if unit != 'D':
+                assert stamp.minute == 1
+                assert stamp.second == s
+                assert stamp.microsecond == us
+            else:
+                assert stamp.minute == 0
+                assert stamp.second == 0
+                assert stamp.microsecond == 0
+            assert stamp.nanosecond == ns
+
+        check(value, **check_kwargs)
+
+    def test_roundtrip(self):
+
+        # test value to string and back conversions
+        # further test accessors
+        base = Timestamp('20140101 00:00:00')
+
+        result = Timestamp(base.value + Timedelta('5ms').value)
+        assert result == Timestamp(str(base) + ".005000")
+        assert result.microsecond == 5000
+
+        result = Timestamp(base.value + Timedelta('5us').value)
+        assert result == Timestamp(str(base) + ".000005")
+        assert result.microsecond == 5
+
+        result = Timestamp(base.value + Timedelta('5ns').value)
+        assert result == Timestamp(str(base) + ".000000005")
+        assert result.nanosecond == 5
+        assert result.microsecond == 0
+
+        result = Timestamp(base.value + Timedelta('6ms 5us').value)
+        assert result == Timestamp(str(base) + ".006005")
+        assert result.microsecond == 5 + 6 * 1000
+
+        result = Timestamp(base.value + Timedelta('200ms 5us').value)
+        assert result == Timestamp(str(base) + ".200005")
+        assert result.microsecond == 5 + 200 * 1000
+
+    def test_hash_equivalent(self):
+        d = {datetime(2011, 1, 1): 5}
+        stamp = Timestamp(datetime(2011, 1, 1))
+        assert d[stamp] == 5
+
+
+class TestTimestampNsOperations(object):
+
+    def setup_method(self, method):
+        self.timestamp = Timestamp(datetime.utcnow())
+
+    def assert_ns_timedelta(self, modified_timestamp, expected_value):
+        value = self.timestamp.value
+        modified_value = modified_timestamp.value
+
+        assert modified_value - value == expected_value
+
+    def test_timedelta_ns_arithmetic(self):
+        self.assert_ns_timedelta(self.timestamp + np.timedelta64(-123, 'ns'),
+                                 -123)
+
+    def test_timedelta_ns_based_arithmetic(self):
+        self.assert_ns_timedelta(self.timestamp + np.timedelta64(
+            1234567898, 'ns'), 1234567898)
+
+    def test_timedelta_us_arithmetic(self):
+        self.assert_ns_timedelta(self.timestamp + np.timedelta64(-123, 'us'),
+                                 -123000)
+
+    def test_timedelta_ms_arithmetic(self):
+        time = self.timestamp + np.timedelta64(-123, 'ms')
+        self.assert_ns_timedelta(time, -123000000)
+
+    def test_nanosecond_string_parsing(self):
+        ts = Timestamp('2013-05-01 07:15:45.123456789')
+        # GH 7878
+        expected_repr = '2013-05-01 07:15:45.123456789'
+        expected_value = 1367392545123456789
+        assert ts.value == expected_value
+        assert expected_repr in repr(ts)
+
+        ts = Timestamp('2013-05-01 07:15:45.123456789+09:00', tz='Asia/Tokyo')
+        assert ts.value == expected_value - 9 * 3600 * 1000000000
+        assert expected_repr in repr(ts)
+
+        ts = Timestamp('2013-05-01 07:15:45.123456789', tz='UTC')
+        assert ts.value == expected_value
+        assert expected_repr in repr(ts)
+
+        ts = Timestamp('2013-05-01 07:15:45.123456789', tz='US/Eastern')
+        assert ts.value == expected_value + 4 * 3600 * 1000000000
+        assert expected_repr in repr(ts)
+
+        # GH 10041
+        ts = Timestamp('20130501T071545.123456789')
+        assert ts.value == expected_value
+        assert expected_repr in repr(ts)
+
+    def test_nanosecond_timestamp(self):
+        # GH 7610
+        expected = 1293840000000000005
+        t = Timestamp('2011-01-01') + offsets.Nano(5)
+        assert repr(t) == "Timestamp('2011-01-01 00:00:00.000000005')"
+        assert t.value == expected
+        assert t.nanosecond == 5
+
+        t = Timestamp(t)
+        assert repr(t) == "Timestamp('2011-01-01 00:00:00.000000005')"
+        assert t.value == expected
+        assert t.nanosecond == 5
+
+        t = Timestamp(np_datetime64_compat('2011-01-01 00:00:00.000000005Z'))
+        assert repr(t) == "Timestamp('2011-01-01 00:00:00.000000005')"
+        assert t.value == expected
+        assert t.nanosecond == 5
+
+        expected = 1293840000000000010
+        t = t + offsets.Nano(5)
+        assert repr(t) == "Timestamp('2011-01-01 00:00:00.000000010')"
+        assert t.value == expected
+        assert t.nanosecond == 10
+
+        t = Timestamp(t)
+        assert repr(t) == "Timestamp('2011-01-01 00:00:00.000000010')"
+        assert t.value == expected
+        assert t.nanosecond == 10
+
+        t = Timestamp(np_datetime64_compat('2011-01-01 00:00:00.000000010Z'))
+        assert repr(t) == "Timestamp('2011-01-01 00:00:00.000000010')"
+        assert t.value == expected
+        assert t.nanosecond == 10
+
+
+class TestTimestampToJulianDate(object):
+
+    def test_compare_1700(self):
+        r = Timestamp('1700-06-23').to_julian_date()
+        assert r == 2342145.5
+
+    def test_compare_2000(self):
+        r = Timestamp('2000-04-12').to_julian_date()
+        assert r == 2451646.5
+
+    def test_compare_2100(self):
+        r = Timestamp('2100-08-12').to_julian_date()
+        assert r == 2488292.5
+
+    def test_compare_hour01(self):
+        r = Timestamp('2000-08-12T01:00:00').to_julian_date()
+        assert r == 2451768.5416666666666666
+
+    def test_compare_hour13(self):
+        r = Timestamp('2000-08-12T13:00:00').to_julian_date()
+        assert r == 2451769.0416666666666666
+
+
+class TestTimestampConversion(object):
+    def test_conversion(self):
+        # GH#9255
+        ts = Timestamp('2000-01-01')
+
+        result = ts.to_pydatetime()
+        expected = datetime(2000, 1, 1)
+        assert result == expected
+        assert type(result) == type(expected)
+
+        result = ts.to_datetime64()
+        expected = np.datetime64(ts.value, 'ns')
+        assert result == expected
+        assert type(result) == type(expected)
+        assert result.dtype == expected.dtype
+
+    def test_to_pydatetime_nonzero_nano(self):
+        ts = Timestamp('2011-01-01 9:00:00.123456789')
+
+        # Warn the user of data loss (nanoseconds).
+        with tm.assert_produces_warning(UserWarning,
+                                        check_stacklevel=False):
+            expected = datetime(2011, 1, 1, 9, 0, 0, 123456)
+            result = ts.to_pydatetime()
+            assert result == expected
+
+    def test_timestamp_to_datetime(self):
+        stamp = Timestamp('20090415', tz='US/Eastern', freq='D')
+        dtval = stamp.to_pydatetime()
+        assert stamp == dtval
+        assert stamp.tzinfo == dtval.tzinfo
+
+    def test_timestamp_to_datetime_dateutil(self):
+        stamp = Timestamp('20090415', tz='dateutil/US/Eastern', freq='D')
+        dtval = stamp.to_pydatetime()
+        assert stamp == dtval
+        assert stamp.tzinfo == dtval.tzinfo
+
+    def test_timestamp_to_datetime_explicit_pytz(self):
+        stamp = Timestamp('20090415', tz=pytz.timezone('US/Eastern'), freq='D')
+        dtval = stamp.to_pydatetime()
+        assert stamp == dtval
+        assert stamp.tzinfo == dtval.tzinfo
+
+    @td.skip_if_windows_python_3
+    def test_timestamp_to_datetime_explicit_dateutil(self):
+        stamp = Timestamp('20090415', tz=gettz('US/Eastern'), freq='D')
+        dtval = stamp.to_pydatetime()
+        assert stamp == dtval
+        assert stamp.tzinfo == dtval.tzinfo
+
+    def test_to_datetime_bijective(self):
+        # Ensure that converting to datetime and back only loses precision
+        # by going from nanoseconds to microseconds.
+        exp_warning = None if Timestamp.max.nanosecond == 0 else UserWarning
+        with tm.assert_produces_warning(exp_warning, check_stacklevel=False):
+            assert (Timestamp(Timestamp.max.to_pydatetime()).value / 1000 ==
+                    Timestamp.max.value / 1000)
+
+        exp_warning = None if Timestamp.min.nanosecond == 0 else UserWarning
+        with tm.assert_produces_warning(exp_warning, check_stacklevel=False):
+            assert (Timestamp(Timestamp.min.to_pydatetime()).value / 1000 ==
+                    Timestamp.min.value / 1000)
+
+    def test_to_period_tz_warning(self):
+        # GH#21333 make sure a warning is issued when timezone
+        # info is lost
+        ts = Timestamp('2009-04-15 16:17:18', tz='US/Eastern')
+        with tm.assert_produces_warning(UserWarning):
+            # warning that timezone info will be lost
+            ts.to_period('D')

utils/venv/lib/python3.6/site-packages/pandas/tests/scalar/timestamp/test_timezones.py

@@ -0,0 +1,389 @@
+# -*- coding: utf-8 -*-
+"""
+Tests for Timestamp timezone-related methods
+"""
+from datetime import date, datetime, timedelta
+from distutils.version import LooseVersion
+
+import dateutil
+from dateutil.tz import gettz, tzoffset
+import pytest
+import pytz
+from pytz.exceptions import AmbiguousTimeError, NonExistentTimeError
+
+from pandas._libs.tslibs import timezones
+from pandas.errors import OutOfBoundsDatetime
+import pandas.util._test_decorators as td
+
+from pandas import NaT, Timestamp
+import pandas.util.testing as tm
+
+
+class TestTimestampTZOperations(object):
+    # --------------------------------------------------------------
+    # Timestamp.tz_localize
+
+    def test_tz_localize_pushes_out_of_bounds(self):
+        # GH#12677
+        # tz_localize that pushes away from the boundary is OK
+        pac = Timestamp.min.tz_localize('US/Pacific')
+        assert pac.value > Timestamp.min.value
+        pac.tz_convert('Asia/Tokyo')  # tz_convert doesn't change value
+        with pytest.raises(OutOfBoundsDatetime):
+            Timestamp.min.tz_localize('Asia/Tokyo')
+
+        # tz_localize that pushes away from the boundary is OK
+        tokyo = Timestamp.max.tz_localize('Asia/Tokyo')
+        assert tokyo.value < Timestamp.max.value
+        tokyo.tz_convert('US/Pacific')  # tz_convert doesn't change value
+        with pytest.raises(OutOfBoundsDatetime):
+            Timestamp.max.tz_localize('US/Pacific')
+
+    def test_tz_localize_ambiguous_bool(self):
+        # make sure that we are correctly accepting bool values as ambiguous
+        # GH#14402
+        ts = Timestamp('2015-11-01 01:00:03')
+        expected0 = Timestamp('2015-11-01 01:00:03-0500', tz='US/Central')
+        expected1 = Timestamp('2015-11-01 01:00:03-0600', tz='US/Central')
+
+        with pytest.raises(pytz.AmbiguousTimeError):
+            ts.tz_localize('US/Central')
+
+        result = ts.tz_localize('US/Central', ambiguous=True)
+        assert result == expected0
+
+        result = ts.tz_localize('US/Central', ambiguous=False)
+        assert result == expected1
+
+    def test_tz_localize_ambiguous(self):
+        ts = Timestamp('2014-11-02 01:00')
+        ts_dst = ts.tz_localize('US/Eastern', ambiguous=True)
+        ts_no_dst = ts.tz_localize('US/Eastern', ambiguous=False)
+
+        assert (ts_no_dst.value - ts_dst.value) / 1e9 == 3600
+        with pytest.raises(ValueError):
+            ts.tz_localize('US/Eastern', ambiguous='infer')
+
+        # GH#8025
+        msg = ('Cannot localize tz-aware Timestamp, '
+               'use tz_convert for conversions')
+        with pytest.raises(TypeError, match=msg):
+            Timestamp('2011-01-01', tz='US/Eastern').tz_localize('Asia/Tokyo')
+
+        msg = ('Cannot convert tz-naive Timestamp, '
+               'use tz_localize to localize')
+        with pytest.raises(TypeError, match=msg):
+            Timestamp('2011-01-01').tz_convert('Asia/Tokyo')
+
+    @pytest.mark.parametrize('stamp, tz', [
+        ('2015-03-08 02:00', 'US/Eastern'),
+        ('2015-03-08 02:30', 'US/Pacific'),
+        ('2015-03-29 02:00', 'Europe/Paris'),
+        ('2015-03-29 02:30', 'Europe/Belgrade')])
+    @pytest.mark.filterwarnings('ignore::FutureWarning')
+    def test_tz_localize_nonexistent(self, stamp, tz):
+        # GH#13057
+        ts = Timestamp(stamp)
+        with pytest.raises(NonExistentTimeError):
+            ts.tz_localize(tz)
+        # GH 22644
+        with pytest.raises(NonExistentTimeError):
+            with tm.assert_produces_warning(FutureWarning):
+                ts.tz_localize(tz, errors='raise')
+        with tm.assert_produces_warning(FutureWarning):
+            assert ts.tz_localize(tz, errors='coerce') is NaT
+
+    def test_tz_localize_errors_ambiguous(self):
+        # GH#13057
+        ts = Timestamp('2015-11-1 01:00')
+        with pytest.raises(AmbiguousTimeError):
+            with tm.assert_produces_warning(FutureWarning):
+                ts.tz_localize('US/Pacific', errors='coerce')
+
+    @pytest.mark.filterwarnings('ignore::FutureWarning')
+    def test_tz_localize_errors_invalid_arg(self):
+        # GH 22644
+        tz = 'Europe/Warsaw'
+        ts = Timestamp('2015-03-29 02:00:00')
+        with pytest.raises(ValueError):
+            with tm.assert_produces_warning(FutureWarning):
+                ts.tz_localize(tz, errors='foo')
+
+    def test_tz_localize_errors_coerce(self):
+        # GH 22644
+        # make sure errors='coerce' gets mapped correctly to nonexistent
+        tz = 'Europe/Warsaw'
+        ts = Timestamp('2015-03-29 02:00:00')
+        with tm.assert_produces_warning(FutureWarning):
+            result = ts.tz_localize(tz, errors='coerce')
+        expected = ts.tz_localize(tz, nonexistent='NaT')
+        assert result is expected
+
+    @pytest.mark.parametrize('stamp', ['2014-02-01 09:00', '2014-07-08 09:00',
+                                       '2014-11-01 17:00', '2014-11-05 00:00'])
+    def test_tz_localize_roundtrip(self, stamp, tz_aware_fixture):
+        tz = tz_aware_fixture
+        ts = Timestamp(stamp)
+        localized = ts.tz_localize(tz)
+        assert localized == Timestamp(stamp, tz=tz)
+
+        with pytest.raises(TypeError):
+            localized.tz_localize(tz)
+
+        reset = localized.tz_localize(None)
+        assert reset == ts
+        assert reset.tzinfo is None
+
+    def test_tz_localize_ambiguous_compat(self):
+        # validate that pytz and dateutil are compat for dst
+        # when the transition happens
+        naive = Timestamp('2013-10-27 01:00:00')
+
+        pytz_zone = 'Europe/London'
+        dateutil_zone = 'dateutil/Europe/London'
+        result_pytz = naive.tz_localize(pytz_zone, ambiguous=0)
+        result_dateutil = naive.tz_localize(dateutil_zone, ambiguous=0)
+        assert result_pytz.value == result_dateutil.value
+        assert result_pytz.value == 1382835600000000000
+
+        if LooseVersion(dateutil.__version__) < LooseVersion('2.6.0'):
+            # dateutil 2.6 buggy w.r.t. ambiguous=0
+            # see gh-14621
+            # see https://github.com/dateutil/dateutil/issues/321
+            assert (result_pytz.to_pydatetime().tzname() ==
+                    result_dateutil.to_pydatetime().tzname())
+            assert str(result_pytz) == str(result_dateutil)
+        elif LooseVersion(dateutil.__version__) > LooseVersion('2.6.0'):
+            # fixed ambiguous behavior
+            assert result_pytz.to_pydatetime().tzname() == 'GMT'
+            assert result_dateutil.to_pydatetime().tzname() == 'BST'
+            assert str(result_pytz) != str(result_dateutil)
+
+        # 1 hour difference
+        result_pytz = naive.tz_localize(pytz_zone, ambiguous=1)
+        result_dateutil = naive.tz_localize(dateutil_zone, ambiguous=1)
+        assert result_pytz.value == result_dateutil.value
+        assert result_pytz.value == 1382832000000000000
+
+        # dateutil < 2.6 is buggy w.r.t. ambiguous timezones
+        if LooseVersion(dateutil.__version__) > LooseVersion('2.5.3'):
+            # see gh-14621
+            assert str(result_pytz) == str(result_dateutil)
+            assert (result_pytz.to_pydatetime().tzname() ==
+                    result_dateutil.to_pydatetime().tzname())
+
+    @pytest.mark.parametrize('tz', [pytz.timezone('US/Eastern'),
+                                    gettz('US/Eastern'),
+                                    'US/Eastern', 'dateutil/US/Eastern'])
+    def test_timestamp_tz_localize(self, tz):
+        stamp = Timestamp('3/11/2012 04:00')
+
+        result = stamp.tz_localize(tz)
+        expected = Timestamp('3/11/2012 04:00', tz=tz)
+        assert result.hour == expected.hour
+        assert result == expected
+
+    @pytest.mark.parametrize('start_ts, tz, end_ts, shift', [
+        ['2015-03-29 02:20:00', 'Europe/Warsaw', '2015-03-29 03:00:00',
+         'forward'],
+        ['2015-03-29 02:20:00', 'Europe/Warsaw',
+         '2015-03-29 01:59:59.999999999', 'backward'],
+        ['2015-03-29 02:20:00', 'Europe/Warsaw',
+         '2015-03-29 03:20:00', timedelta(hours=1)],
+        ['2015-03-29 02:20:00', 'Europe/Warsaw',
+         '2015-03-29 01:20:00', timedelta(hours=-1)],
+        ['2018-03-11 02:33:00', 'US/Pacific', '2018-03-11 03:00:00',
+         'forward'],
+        ['2018-03-11 02:33:00', 'US/Pacific', '2018-03-11 01:59:59.999999999',
+         'backward'],
+        ['2018-03-11 02:33:00', 'US/Pacific', '2018-03-11 03:33:00',
+         timedelta(hours=1)],
+        ['2018-03-11 02:33:00', 'US/Pacific', '2018-03-11 01:33:00',
+         timedelta(hours=-1)]
+    ])
+    @pytest.mark.parametrize('tz_type', ['', 'dateutil/'])
+    def test_timestamp_tz_localize_nonexistent_shift(self, start_ts, tz,
+                                                     end_ts, shift,
+                                                     tz_type):
+        # GH 8917, 24466
+        tz = tz_type + tz
+        if isinstance(shift, str):
+            shift = 'shift_' + shift
+        ts = Timestamp(start_ts)
+        result = ts.tz_localize(tz, nonexistent=shift)
+        expected = Timestamp(end_ts).tz_localize(tz)
+        assert result == expected
+
+    @pytest.mark.parametrize('offset', [-1, 1])
+    @pytest.mark.parametrize('tz_type', ['', 'dateutil/'])
+    def test_timestamp_tz_localize_nonexistent_shift_invalid(self, offset,
+                                                             tz_type):
+        # GH 8917, 24466
+        tz = tz_type + 'Europe/Warsaw'
+        ts = Timestamp('2015-03-29 02:20:00')
+        msg = "The provided timedelta will relocalize on a nonexistent time"
+        with pytest.raises(ValueError, match=msg):
+            ts.tz_localize(tz, nonexistent=timedelta(seconds=offset))
+
+    @pytest.mark.parametrize('tz', ['Europe/Warsaw', 'dateutil/Europe/Warsaw'])
+    def test_timestamp_tz_localize_nonexistent_NaT(self, tz):
+        # GH 8917
+        ts = Timestamp('2015-03-29 02:20:00')
+        result = ts.tz_localize(tz, nonexistent='NaT')
+        assert result is NaT
+
+    @pytest.mark.parametrize('tz', ['Europe/Warsaw', 'dateutil/Europe/Warsaw'])
+    def test_timestamp_tz_localize_nonexistent_raise(self, tz):
+        # GH 8917
+        ts = Timestamp('2015-03-29 02:20:00')
+        with pytest.raises(pytz.NonExistentTimeError):
+            ts.tz_localize(tz, nonexistent='raise')
+        with pytest.raises(ValueError):
+            ts.tz_localize(tz, nonexistent='foo')
+
+    # ------------------------------------------------------------------
+    # Timestamp.tz_convert
+
+    @pytest.mark.parametrize('stamp', ['2014-02-01 09:00', '2014-07-08 09:00',
+                                       '2014-11-01 17:00', '2014-11-05 00:00'])
+    def test_tz_convert_roundtrip(self, stamp, tz_aware_fixture):
+        tz = tz_aware_fixture
+
+        ts = Timestamp(stamp, tz='UTC')
+        converted = ts.tz_convert(tz)
+
+        reset = converted.tz_convert(None)
+        assert reset == Timestamp(stamp)
+        assert reset.tzinfo is None
+        assert reset == converted.tz_convert('UTC').tz_localize(None)
+
+    @pytest.mark.parametrize('tzstr', ['US/Eastern', 'dateutil/US/Eastern'])
+    def test_astimezone(self, tzstr):
+        # astimezone is an alias for tz_convert, so keep it with
+        # the tz_convert tests
+        utcdate = Timestamp('3/11/2012 22:00', tz='UTC')
+        expected = utcdate.tz_convert(tzstr)
+        result = utcdate.astimezone(tzstr)
+        assert expected == result
+        assert isinstance(result, Timestamp)
+
+    @td.skip_if_windows
+    def test_tz_convert_utc_with_system_utc(self):
+        from pandas._libs.tslibs.timezones import maybe_get_tz
+
+        # from system utc to real utc
+        ts = Timestamp('2001-01-05 11:56', tz=maybe_get_tz('dateutil/UTC'))
+        # check that the time hasn't changed.
+        assert ts == ts.tz_convert(dateutil.tz.tzutc())
+
+        # from system utc to real utc
+        ts = Timestamp('2001-01-05 11:56', tz=maybe_get_tz('dateutil/UTC'))
+        # check that the time hasn't changed.
+        assert ts == ts.tz_convert(dateutil.tz.tzutc())
+
+    # ------------------------------------------------------------------
+    # Timestamp.__init__ with tz str or tzinfo
+
+    def test_timestamp_constructor_tz_utc(self):
+        utc_stamp = Timestamp('3/11/2012 05:00', tz='utc')
+        assert utc_stamp.tzinfo is pytz.utc
+        assert utc_stamp.hour == 5
+
+        utc_stamp = Timestamp('3/11/2012 05:00').tz_localize('utc')
+        assert utc_stamp.hour == 5
+
+    def test_timestamp_to_datetime_tzoffset(self):
+        tzinfo = tzoffset(None, 7200)
+        expected = Timestamp('3/11/2012 04:00', tz=tzinfo)
+        result = Timestamp(expected.to_pydatetime())
+        assert expected == result
+
+    def test_timestamp_constructor_near_dst_boundary(self):
+        # GH#11481 & GH#15777
+        # Naive string timestamps were being localized incorrectly
+        # with tz_convert_single instead of tz_localize_to_utc
+
+        for tz in ['Europe/Brussels', 'Europe/Prague']:
+            result = Timestamp('2015-10-25 01:00', tz=tz)
+            expected = Timestamp('2015-10-25 01:00').tz_localize(tz)
+            assert result == expected
+
+            with pytest.raises(pytz.AmbiguousTimeError):
+                Timestamp('2015-10-25 02:00', tz=tz)
+
+        result = Timestamp('2017-03-26 01:00', tz='Europe/Paris')
+        expected = Timestamp('2017-03-26 01:00').tz_localize('Europe/Paris')
+        assert result == expected
+
+        with pytest.raises(pytz.NonExistentTimeError):
+            Timestamp('2017-03-26 02:00', tz='Europe/Paris')
+
+        # GH#11708
+        naive = Timestamp('2015-11-18 10:00:00')
+        result = naive.tz_localize('UTC').tz_convert('Asia/Kolkata')
+        expected = Timestamp('2015-11-18 15:30:00+0530', tz='Asia/Kolkata')
+        assert result == expected
+
+        # GH#15823
+        result = Timestamp('2017-03-26 00:00', tz='Europe/Paris')
+        expected = Timestamp('2017-03-26 00:00:00+0100', tz='Europe/Paris')
+        assert result == expected
+
+        result = Timestamp('2017-03-26 01:00', tz='Europe/Paris')
+        expected = Timestamp('2017-03-26 01:00:00+0100', tz='Europe/Paris')
+        assert result == expected
+
+        with pytest.raises(pytz.NonExistentTimeError):
+            Timestamp('2017-03-26 02:00', tz='Europe/Paris')
+
+        result = Timestamp('2017-03-26 02:00:00+0100', tz='Europe/Paris')
+        naive = Timestamp(result.value)
+        expected = naive.tz_localize('UTC').tz_convert('Europe/Paris')
+        assert result == expected
+
+        result = Timestamp('2017-03-26 03:00', tz='Europe/Paris')
+        expected = Timestamp('2017-03-26 03:00:00+0200', tz='Europe/Paris')
+        assert result == expected
+
+    @pytest.mark.parametrize('tz', [pytz.timezone('US/Eastern'),
+                                    gettz('US/Eastern'),
+                                    'US/Eastern', 'dateutil/US/Eastern'])
+    def test_timestamp_constructed_by_date_and_tz(self, tz):
+        # GH#2993, Timestamp cannot be constructed by datetime.date
+        # and tz correctly
+
+        result = Timestamp(date(2012, 3, 11), tz=tz)
+
+        expected = Timestamp('3/11/2012', tz=tz)
+        assert result.hour == expected.hour
+        assert result == expected
+
+    @pytest.mark.parametrize('tz', [pytz.timezone('US/Eastern'),
+                                    gettz('US/Eastern'),
+                                    'US/Eastern', 'dateutil/US/Eastern'])
+    def test_timestamp_add_timedelta_push_over_dst_boundary(self, tz):
+        # GH#1389
+
+        # 4 hours before DST transition
+        stamp = Timestamp('3/10/2012 22:00', tz=tz)
+
+        result = stamp + timedelta(hours=6)
+
+        # spring forward, + "7" hours
+        expected = Timestamp('3/11/2012 05:00', tz=tz)
+
+        assert result == expected
+
+    def test_timestamp_timetz_equivalent_with_datetime_tz(self,
+                                                          tz_naive_fixture):
+        # GH21358
+        tz = timezones.maybe_get_tz(tz_naive_fixture)
+
+        stamp = Timestamp('2018-06-04 10:20:30', tz=tz)
+        _datetime = datetime(2018, 6, 4, hour=10,
+                             minute=20, second=30, tzinfo=tz)
+
+        result = stamp.timetz()
+        expected = _datetime.timetz()
+
+        assert result == expected

utils/venv/lib/python3.6/site-packages/pandas/tests/scalar/timestamp/test_unary_ops.py

@@ -0,0 +1,364 @@
+# -*- coding: utf-8 -*-
+from datetime import datetime
+
+from dateutil.tz import gettz
+import pytest
+import pytz
+from pytz import utc
+
+from pandas._libs.tslibs import conversion
+from pandas._libs.tslibs.frequencies import INVALID_FREQ_ERR_MSG
+from pandas.compat import PY3
+import pandas.util._test_decorators as td
+
+from pandas import NaT, Timestamp
+import pandas.util.testing as tm
+
+from pandas.tseries.frequencies import to_offset
+
+
+class TestTimestampUnaryOps(object):
+
+    # --------------------------------------------------------------
+    # Timestamp.round
+    @pytest.mark.parametrize('timestamp, freq, expected', [
+        ('20130101 09:10:11', 'D', '20130101'),
+        ('20130101 19:10:11', 'D', '20130102'),
+        ('20130201 12:00:00', 'D', '20130202'),
+        ('20130104 12:00:00', 'D', '20130105'),
+        ('2000-01-05 05:09:15.13', 'D', '2000-01-05 00:00:00'),
+        ('2000-01-05 05:09:15.13', 'H', '2000-01-05 05:00:00'),
+        ('2000-01-05 05:09:15.13', 'S', '2000-01-05 05:09:15')
+    ])
+    def test_round_frequencies(self, timestamp, freq, expected):
+        dt = Timestamp(timestamp)
+        result = dt.round(freq)
+        expected = Timestamp(expected)
+        assert result == expected
+
+    def test_round_tzaware(self):
+        dt = Timestamp('20130101 09:10:11', tz='US/Eastern')
+        result = dt.round('D')
+        expected = Timestamp('20130101', tz='US/Eastern')
+        assert result == expected
+
+        dt = Timestamp('20130101 09:10:11', tz='US/Eastern')
+        result = dt.round('s')
+        assert result == dt
+
+    def test_round_30min(self):
+        # round
+        dt = Timestamp('20130104 12:32:00')
+        result = dt.round('30Min')
+        expected = Timestamp('20130104 12:30:00')
+        assert result == expected
+
+    def test_round_subsecond(self):
+        # GH#14440 & GH#15578
+        result = Timestamp('2016-10-17 12:00:00.0015').round('ms')
+        expected = Timestamp('2016-10-17 12:00:00.002000')
+        assert result == expected
+
+        result = Timestamp('2016-10-17 12:00:00.00149').round('ms')
+        expected = Timestamp('2016-10-17 12:00:00.001000')
+        assert result == expected
+
+        ts = Timestamp('2016-10-17 12:00:00.0015')
+        for freq in ['us', 'ns']:
+            assert ts == ts.round(freq)
+
+        result = Timestamp('2016-10-17 12:00:00.001501031').round('10ns')
+        expected = Timestamp('2016-10-17 12:00:00.001501030')
+        assert result == expected
+
+    def test_round_nonstandard_freq(self):
+        with tm.assert_produces_warning(False):
+            Timestamp('2016-10-17 12:00:00.001501031').round('1010ns')
+
+    def test_round_invalid_arg(self):
+        stamp = Timestamp('2000-01-05 05:09:15.13')
+        with pytest.raises(ValueError, match=INVALID_FREQ_ERR_MSG):
+            stamp.round('foo')
+
+    @pytest.mark.parametrize('test_input, rounder, freq, expected', [
+        ('2117-01-01 00:00:45', 'floor', '15s', '2117-01-01 00:00:45'),
+        ('2117-01-01 00:00:45', 'ceil', '15s', '2117-01-01 00:00:45'),
+        ('2117-01-01 00:00:45.000000012', 'floor', '10ns',
+         '2117-01-01 00:00:45.000000010'),
+        ('1823-01-01 00:00:01.000000012', 'ceil', '10ns',
+         '1823-01-01 00:00:01.000000020'),
+        ('1823-01-01 00:00:01', 'floor', '1s', '1823-01-01 00:00:01'),
+        ('1823-01-01 00:00:01', 'ceil', '1s', '1823-01-01 00:00:01'),
+        ('NaT', 'floor', '1s', 'NaT'),
+        ('NaT', 'ceil', '1s', 'NaT')
+    ])
+    def test_ceil_floor_edge(self, test_input, rounder, freq, expected):
+        dt = Timestamp(test_input)
+        func = getattr(dt, rounder)
+        result = func(freq)
+
+        if dt is NaT:
+            assert result is NaT
+        else:
+            expected = Timestamp(expected)
+            assert result == expected
+
+    @pytest.mark.parametrize('test_input, freq, expected', [
+        ('2018-01-01 00:02:06', '2s', '2018-01-01 00:02:06'),
+        ('2018-01-01 00:02:00', '2T', '2018-01-01 00:02:00'),
+        ('2018-01-01 00:04:00', '4T', '2018-01-01 00:04:00'),
+        ('2018-01-01 00:15:00', '15T', '2018-01-01 00:15:00'),
+        ('2018-01-01 00:20:00', '20T', '2018-01-01 00:20:00'),
+        ('2018-01-01 03:00:00', '3H', '2018-01-01 03:00:00'),
+    ])
+    @pytest.mark.parametrize('rounder', ['ceil', 'floor', 'round'])
+    def test_round_minute_freq(self, test_input, freq, expected, rounder):
+        # Ensure timestamps that shouldnt round dont!
+        # GH#21262
+
+        dt = Timestamp(test_input)
+        expected = Timestamp(expected)
+        func = getattr(dt, rounder)
+        result = func(freq)
+        assert result == expected
+
+    def test_ceil(self):
+        dt = Timestamp('20130101 09:10:11')
+        result = dt.ceil('D')
+        expected = Timestamp('20130102')
+        assert result == expected
+
+    def test_floor(self):
+        dt = Timestamp('20130101 09:10:11')
+        result = dt.floor('D')
+        expected = Timestamp('20130101')
+        assert result == expected
+
+    @pytest.mark.parametrize('method', ['ceil', 'round', 'floor'])
+    def test_round_dst_border_ambiguous(self, method):
+        # GH 18946 round near "fall back" DST
+        ts = Timestamp('2017-10-29 00:00:00', tz='UTC').tz_convert(
+            'Europe/Madrid'
+        )
+        #
+        result = getattr(ts, method)('H', ambiguous=True)
+        assert result == ts
+
+        result = getattr(ts, method)('H', ambiguous=False)
+        expected = Timestamp('2017-10-29 01:00:00', tz='UTC').tz_convert(
+            'Europe/Madrid'
+        )
+        assert result == expected
+
+        result = getattr(ts, method)('H', ambiguous='NaT')
+        assert result is NaT
+
+        with pytest.raises(pytz.AmbiguousTimeError):
+            getattr(ts, method)('H', ambiguous='raise')
+
+    @pytest.mark.parametrize('method, ts_str, freq', [
+        ['ceil', '2018-03-11 01:59:00-0600', '5min'],
+        ['round', '2018-03-11 01:59:00-0600', '5min'],
+        ['floor', '2018-03-11 03:01:00-0500', '2H']])
+    def test_round_dst_border_nonexistent(self, method, ts_str, freq):
+        # GH 23324 round near "spring forward" DST
+        ts = Timestamp(ts_str, tz='America/Chicago')
+        result = getattr(ts, method)(freq, nonexistent='shift_forward')
+        expected = Timestamp('2018-03-11 03:00:00', tz='America/Chicago')
+        assert result == expected
+
+        result = getattr(ts, method)(freq, nonexistent='NaT')
+        assert result is NaT
+
+        with pytest.raises(pytz.NonExistentTimeError,
+                           match='2018-03-11 02:00:00'):
+            getattr(ts, method)(freq, nonexistent='raise')
+
+    @pytest.mark.parametrize('timestamp', [
+        '2018-01-01 0:0:0.124999360',
+        '2018-01-01 0:0:0.125000367',
+        '2018-01-01 0:0:0.125500',
+        '2018-01-01 0:0:0.126500',
+        '2018-01-01 12:00:00',
+        '2019-01-01 12:00:00',
+    ])
+    @pytest.mark.parametrize('freq', [
+        '2ns', '3ns', '4ns', '5ns', '6ns', '7ns',
+        '250ns', '500ns', '750ns',
+        '1us', '19us', '250us', '500us', '750us',
+        '1s', '2s', '3s',
+        '1D',
+    ])
+    def test_round_int64(self, timestamp, freq):
+        """check that all rounding modes are accurate to int64 precision
+           see GH#22591
+        """
+        dt = Timestamp(timestamp)
+        unit = to_offset(freq).nanos
+
+        # test floor
+        result = dt.floor(freq)
+        assert result.value % unit == 0, "floor not a {} multiple".format(freq)
+        assert 0 <= dt.value - result.value < unit, "floor error"
+
+        # test ceil
+        result = dt.ceil(freq)
+        assert result.value % unit == 0, "ceil not a {} multiple".format(freq)
+        assert 0 <= result.value - dt.value < unit, "ceil error"
+
+        # test round
+        result = dt.round(freq)
+        assert result.value % unit == 0, "round not a {} multiple".format(freq)
+        assert abs(result.value - dt.value) <= unit // 2, "round error"
+        if unit % 2 == 0 and abs(result.value - dt.value) == unit // 2:
+            # round half to even
+            assert result.value // unit % 2 == 0, "round half to even error"
+
+    # --------------------------------------------------------------
+    # Timestamp.replace
+
+    def test_replace_naive(self):
+        # GH#14621, GH#7825
+        ts = Timestamp('2016-01-01 09:00:00')
+        result = ts.replace(hour=0)
+        expected = Timestamp('2016-01-01 00:00:00')
+        assert result == expected
+
+    def test_replace_aware(self, tz_aware_fixture):
+        tz = tz_aware_fixture
+        # GH#14621, GH#7825
+        # replacing datetime components with and w/o presence of a timezone
+        ts = Timestamp('2016-01-01 09:00:00', tz=tz)
+        result = ts.replace(hour=0)
+        expected = Timestamp('2016-01-01 00:00:00', tz=tz)
+        assert result == expected
+
+    def test_replace_preserves_nanos(self, tz_aware_fixture):
+        tz = tz_aware_fixture
+        # GH#14621, GH#7825
+        ts = Timestamp('2016-01-01 09:00:00.000000123', tz=tz)
+        result = ts.replace(hour=0)
+        expected = Timestamp('2016-01-01 00:00:00.000000123', tz=tz)
+        assert result == expected
+
+    def test_replace_multiple(self, tz_aware_fixture):
+        tz = tz_aware_fixture
+        # GH#14621, GH#7825
+        # replacing datetime components with and w/o presence of a timezone
+        # test all
+        ts = Timestamp('2016-01-01 09:00:00.000000123', tz=tz)
+        result = ts.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)
+        assert result == expected
+
+    def test_replace_invalid_kwarg(self, tz_aware_fixture):
+        tz = tz_aware_fixture
+        # GH#14621, GH#7825
+        ts = Timestamp('2016-01-01 09:00:00.000000123', tz=tz)
+        with pytest.raises(TypeError):
+            ts.replace(foo=5)
+
+    def test_replace_integer_args(self, tz_aware_fixture):
+        tz = tz_aware_fixture
+        # GH#14621, GH#7825
+        ts = Timestamp('2016-01-01 09:00:00.000000123', tz=tz)
+        with pytest.raises(ValueError):
+            ts.replace(hour=0.1)
+
+    def test_replace_tzinfo_equiv_tz_localize_none(self):
+        # GH#14621, GH#7825
+        # assert conversion to naive is the same as replacing tzinfo with None
+        ts = Timestamp('2013-11-03 01:59:59.999999-0400', tz='US/Eastern')
+        assert ts.tz_localize(None) == ts.replace(tzinfo=None)
+
+    @td.skip_if_windows
+    def test_replace_tzinfo(self):
+        # GH#15683
+        dt = datetime(2016, 3, 27, 1)
+        tzinfo = pytz.timezone('CET').localize(dt, is_dst=False).tzinfo
+
+        result_dt = dt.replace(tzinfo=tzinfo)
+        result_pd = Timestamp(dt).replace(tzinfo=tzinfo)
+
+        if PY3:
+            # datetime.timestamp() converts in the local timezone
+            with tm.set_timezone('UTC'):
+                assert result_dt.timestamp() == result_pd.timestamp()
+
+        assert result_dt == result_pd
+        assert result_dt == result_pd.to_pydatetime()
+
+        result_dt = dt.replace(tzinfo=tzinfo).replace(tzinfo=None)
+        result_pd = Timestamp(dt).replace(tzinfo=tzinfo).replace(tzinfo=None)
+
+        if PY3:
+            # datetime.timestamp() converts in the local timezone
+            with tm.set_timezone('UTC'):
+                assert result_dt.timestamp() == result_pd.timestamp()
+
+        assert result_dt == result_pd
+        assert result_dt == result_pd.to_pydatetime()
+
+    @pytest.mark.parametrize('tz, normalize', [
+        (pytz.timezone('US/Eastern'), lambda x: x.tzinfo.normalize(x)),
+        (gettz('US/Eastern'), lambda x: x)])
+    def test_replace_across_dst(self, tz, normalize):
+        # GH#18319 check that 1) timezone is correctly normalized and
+        # 2) that hour is not incorrectly changed by this normalization
+        ts_naive = Timestamp('2017-12-03 16:03:30')
+        ts_aware = conversion.localize_pydatetime(ts_naive, tz)
+
+        # Preliminary sanity-check
+        assert ts_aware == normalize(ts_aware)
+
+        # Replace across DST boundary
+        ts2 = ts_aware.replace(month=6)
+
+        # Check that `replace` preserves hour literal
+        assert (ts2.hour, ts2.minute) == (ts_aware.hour, ts_aware.minute)
+
+        # Check that post-replace object is appropriately normalized
+        ts2b = normalize(ts2)
+        assert ts2 == ts2b
+
+    def test_replace_dst_border(self):
+        # Gh 7825
+        t = Timestamp('2013-11-3', tz='America/Chicago')
+        result = t.replace(hour=3)
+        expected = Timestamp('2013-11-3 03:00:00', tz='America/Chicago')
+        assert result == expected
+
+    # --------------------------------------------------------------
+    # Timestamp.normalize
+
+    @pytest.mark.parametrize('arg', ['2013-11-30', '2013-11-30 12:00:00'])
+    def test_normalize(self, tz_naive_fixture, arg):
+        tz = tz_naive_fixture
+        ts = Timestamp(arg, tz=tz)
+        result = ts.normalize()
+        expected = Timestamp('2013-11-30', tz=tz)
+        assert result == expected
+
+    # --------------------------------------------------------------
+
+    @td.skip_if_windows
+    def test_timestamp(self):
+        # GH#17329
+        # tz-naive --> treat it as if it were UTC for purposes of timestamp()
+        ts = Timestamp.now()
+        uts = ts.replace(tzinfo=utc)
+        assert ts.timestamp() == uts.timestamp()
+
+        tsc = Timestamp('2014-10-11 11:00:01.12345678', tz='US/Central')
+        utsc = tsc.tz_convert('UTC')
+
+        # utsc is a different representation of the same time
+        assert tsc.timestamp() == utsc.timestamp()
+
+        if PY3:
+            # datetime.timestamp() converts in the local timezone
+            with tm.set_timezone('UTC'):
+                # should agree with datetime.timestamp method
+                dt = ts.to_pydatetime()
+                assert dt.timestamp() == ts.timestamp()