diff --git a/.travis.yml b/.travis.yml
index 33c281b7f6d57..ee60f9d7ad713 100644
--- a/.travis.yml
+++ b/.travis.yml
@@ -29,7 +29,7 @@ install:
   - 'if [ $TRAVIS_PYTHON_VERSION == "3.3" ]; then pip uninstall numpy; pip install https://github.com/numpy/numpy/archive/v1.7.0b2.tar.gz; fi'
   - 'if [ $TRAVIS_PYTHON_VERSION == "3.2" ] || [ $TRAVIS_PYTHON_VERSION == "3.1" ]; then pip install https://github.com/y-p/numpy/archive/1.6.2_with_travis_fix.tar.gz; fi'
   - 'if [ ${TRAVIS_PYTHON_VERSION:0:1} == "2" ]; then pip install numpy; fi' # should be nop if pre-installed
-  - pip install --use-mirrors cython nose pytz python-dateutil;
+  - pip install --use-mirrors cython nose pytz python-dateutil xlrd openpyxl;
 
 script:
    - python setup.py build_ext install
diff --git a/pandas/tests/test_series.py b/pandas/tests/test_series.py
index 401cc45cbdbd7..ac690c651249b 100644
--- a/pandas/tests/test_series.py
+++ b/pandas/tests/test_series.py
@@ -1446,7 +1446,6 @@ def test_append_many(self):
         assert_series_equal(result, self.ts)
 
     def test_all_any(self):
-        np.random.seed(12345)
         ts = tm.makeTimeSeries()
         bool_series = ts > 0
         self.assert_(not bool_series.all())
diff --git a/pandas/tseries/index.py b/pandas/tseries/index.py
index 92aeb1faf0ef5..b50ed318ee038 100644
--- a/pandas/tseries/index.py
+++ b/pandas/tseries/index.py
@@ -552,7 +552,8 @@ def _add_delta(self, delta):
 
     def __contains__(self, key):
         try:
-            return np.isscalar(self.get_loc(key))
+            res = self.get_loc(key)
+            return np.isscalar(res) or type(res) == slice
         except (KeyError, TypeError):
             return False
 
diff --git a/pandas/tseries/tests/test_timeseries.py b/pandas/tseries/tests/test_timeseries.py
index ef35c44b53772..7db86a3e257f0 100644
--- a/pandas/tseries/tests/test_timeseries.py
+++ b/pandas/tseries/tests/test_timeseries.py
@@ -59,6 +59,11 @@ def test_index_unique(self):
         uniques = self.dups.index.unique()
         self.assert_(uniques.dtype == 'M8[ns]') # sanity
 
+    def test_index_dupes_contains(self):
+        d = datetime(2011, 12, 5, 20, 30)
+        ix=DatetimeIndex([d,d])
+        self.assertTrue(d in ix)
+
     def test_duplicate_dates_indexing(self):
         ts = self.dups