split off scalar tests to submodules

pandas/tests/scalar/test_timedelta.py

@@ -105,15 +105,6 @@ def test_timedelta_ops_scalar(self):
             result = base - offset
             assert result == expected_sub
 
-    def test_ops_offsets(self):
-        td = Timedelta(10, unit='d')
-        assert Timedelta(241, unit='h') == td + pd.offsets.Hour(1)
-        assert Timedelta(241, unit='h') == pd.offsets.Hour(1) + td
-        assert 240 == td / pd.offsets.Hour(1)
-        assert 1 / 240.0 == pd.offsets.Hour(1) / td
-        assert Timedelta(239, unit='h') == td - pd.offsets.Hour(1)
-        assert Timedelta(-239, unit='h') == pd.offsets.Hour(1) - td
-
     def test_unary_ops(self):
         td = Timedelta(10, unit='d')
 
@@ -129,130 +120,8 @@ def test_unary_ops(self):
 
     def test_binary_ops_nat(self):
         td = Timedelta(10, unit='d')
-
-        assert (td - pd.NaT) is pd.NaT
-        assert (td + pd.NaT) is pd.NaT
+        # FIXME: The next test is wrong: td * NaT should raise
         assert (td * pd.NaT) is pd.NaT
-        assert (td / pd.NaT) is np.nan
-        assert (td // pd.NaT) is np.nan
-        assert (td // np.timedelta64('NaT')) is np.nan
-
-    def test_binary_ops_integers(self):
-        td = Timedelta(10, unit='d')
-
-        assert td * 2 == Timedelta(20, unit='d')
-        assert td / 2 == Timedelta(5, unit='d')
-        assert td // 2 == Timedelta(5, unit='d')
-
-        # invert
-        assert td * -1 == Timedelta('-10d')
-        assert -1 * td == Timedelta('-10d')
-
-        # can't operate with integers
-        pytest.raises(TypeError, lambda: td + 2)
-        pytest.raises(TypeError, lambda: td - 2)
-
-    def test_binary_ops_with_timedelta(self):
-        td = Timedelta(10, unit='d')
-
-        assert td - td == Timedelta(0, unit='ns')
-        assert td + td == Timedelta(20, unit='d')
-        assert td / td == 1
-
-        # invalid multiply with another timedelta
-        pytest.raises(TypeError, lambda: td * td)
-
-    def test_floordiv(self):
-        # GH#18846
-        td = Timedelta(hours=3, minutes=4)
-        scalar = Timedelta(hours=3, minutes=3)
-
-        # scalar others
-        assert td // scalar == 1
-        assert -td // scalar.to_pytimedelta() == -2
-        assert (2 * td) // scalar.to_timedelta64() == 2
-
-        assert td // np.nan is pd.NaT
-        assert np.isnan(td // pd.NaT)
-        assert np.isnan(td // np.timedelta64('NaT'))
-
-        with pytest.raises(TypeError):
-            td // np.datetime64('2016-01-01', dtype='datetime64[us]')
-
-        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
-
-        # 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)
-
-        ser = pd.Series([1], dtype=np.int64)
-        res = td // ser
-        assert res.dtype.kind == 'm'
-
-    def test_rfloordiv(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
-
-        assert np.isnan(td.__rfloordiv__(pd.NaT))
-        assert np.isnan(td.__rfloordiv__(np.timedelta64('NaT')))
-
-        dt64 = np.datetime64('2016-01-01', dtype='datetime64[us]')
-        with pytest.raises(TypeError):
-            td.__rfloordiv__(dt64)
-
-        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.int32(2.0))
-        with pytest.raises(TypeError):
-            td.__rfloordiv__(np.uint8(9))
-
-        # 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)
-
-        ser = pd.Series([1], dtype=np.int64)
-        res = td.__rfloordiv__(ser)
-        assert res is NotImplemented
-        with pytest.raises(TypeError):
-            ser // td
 
 
 class TestTimedeltaComparison(object):