diff --git a/.travis.yml b/.travis.yml
index f8985f6b4..6d2802c6c 100644
--- a/.travis.yml
+++ b/.travis.yml
@@ -33,7 +33,7 @@ install:
 script:
   - python setup.py sdist >/dev/null
   - echo "check_stable=False" >libpysal/config.py
-  - nosetests --verbose --with-coverage --cover-package=libpysal;
+  - nosetests --with-doctest --verbose --with-coverage --cover-package=libpysal -I shapely_ext.py;
   #- cd doc; make pickle; make doctest
 notifications:
     email:
diff --git a/libpysal/cg/alpha_shapes.py b/libpysal/cg/alpha_shapes.py
index d887c73a3..6c4eec155 100644
--- a/libpysal/cg/alpha_shapes.py
+++ b/libpysal/cg/alpha_shapes.py
@@ -171,7 +171,7 @@ def get_faces(triangle):
     Example
     -------
     
-    >>> triangle = np.array([3, 1, 4], dtype=int32)
+    >>> triangle = np.array([3, 1, 4], dtype=np.int32)
     >>> faces = get_faces(triangle)
     >>> faces
     array([[3., 1.],
@@ -215,11 +215,7 @@ def build_faces(faces, triangles_is,
     Example
     -------
     >>> import scipy.spatial as spat
-    >>> pts = np.array([[0, 1],
-                        [3, 5],
-                        [4, 1],
-                        [6, 7],
-                        [9, 3]])
+    >>> pts = np.array([[0, 1], [3, 5], [4, 1], [6, 7], [9, 3]])
     >>> triangulation = spat.Delaunay(pts)
     >>> triangulation.simplices
     array([[3, 1, 4],
@@ -229,9 +225,8 @@ def build_faces(faces, triangles_is,
     >>> num_triangles = triangulation.simplices.shape[0]
     >>> num_faces = num_triangles * num_faces_single
     >>> faces = np.zeros((num_faces, 2), dtype=np.int_)
-    >>> mask = np.ones((num_faces,), dtype=np.bool_)       
-    >>> faces = build_faces(faces, triangulation.simplices, 
-                            num_triangles, num_faces_single)
+    >>> mask = np.ones((num_faces,), dtype=np.bool_)
+    >>> faces = build_faces(faces, triangulation.simplices, num_triangles, num_faces_single)
     >>> faces
     array([[3, 1],
            [1, 4],
@@ -273,17 +268,9 @@ def nb_mask_faces(mask, faces):
 
     Example
     -------
-
-    >>> faces = array([[0, 1],
-                       [0, 2],
-                       [1, 2],
-                       [1, 2],
-                       [1, 3],
-                       [1, 4],
-                       [1, 4],
-                       [2, 4],
-                       [3, 4]])
-    >>> mask = np.ones((faces.shape[0], ), dtype=bool_)
+    >>> import numpy as np
+    >>> faces = np.array([[0, 1], [0, 2], [1, 2], [1, 2], [1, 3], [1, 4], [1, 4], [2, 4], [3, 4]])
+    >>> mask = np.ones((faces.shape[0], ), dtype=np.bool_)
     >>> masked = nb_mask_faces(mask, faces)
     >>> masked
     array([[0, 1],
diff --git a/libpysal/io/iohandlers/gal.py b/libpysal/io/iohandlers/gal.py
index a94c90eda..98ba5f4f5 100644
--- a/libpysal/io/iohandlers/gal.py
+++ b/libpysal/io/iohandlers/gal.py
@@ -71,8 +71,8 @@ def _read(self):
         >>> w = testfile.read()
         >>> w.n == 100
         True
-        >>> w.sd == 1.5151237573214935
-        True
+        >>> print(round(w.sd,6))
+        1.515124
         >>> testfile = pysal.open(pysal.examples.get_path('sids2.gal'),'r')
 
         Return a sparse matrix for the w information
diff --git a/libpysal/weights/util.py b/libpysal/weights/util.py
index ee1c6e84a..7480d4cbb 100644
--- a/libpysal/weights/util.py
+++ b/libpysal/weights/util.py
@@ -1486,8 +1486,8 @@ def fuzzy_contiguity(gdf, tolerance=0.005, buffering=False, drop=True):
     >>> wf = fuzzy_contiguity(rs_df)
     >>> wf.islands
     []
-    >>> wf[0]
-    {239: 1.0, 59: 1.0, 152: 1.0, 23: 1.0, 107: 1.0}
+    >>> wf[0] == dict({239: 1.0, 59: 1.0, 152: 1.0, 23: 1.0, 107: 1.0})
+    True
 
     Example needing to use buffering