Upgrade pysal to version 1.14.3

This solves a problem with the Markov analysis. Otherwise, with some
inputs it gives the following error:

```
Analysis A2 failed:
ValueError: operands could not be broadcast together with shapes (5) (3)
```

The stack trace is the following:
```
ERROR:  ValueError: operands could not be broadcast together with shapes (5) (2)
CONTEXT:  Traceback (most recent call last):
  PL/Python function "cdb_spatialmarkovtrend", line 7, in <module>
    return markov.spatial_trend(subquery, time_cols, num_classes, w_type, num_ngbrs, permutations, geom_col, id_col)
  PL/Python function "cdb_spatialmarkovtrend", line 76, in spatial_trend
  PL/Python function "cdb_spatialmarkovtrend", line 416, in __init__
  PL/Python function "cdb_spatialmarkovtrend", line 498, in _mn_test
  PL/Python function "cdb_spatialmarkovtrend", line 526, in _ssmnp_test
PL/Python function "cdb_spatialmarkovtrend"
```

and here is the line where it actually fails:
https://github.com/pysal/pysal/blob/v1.11.2/pysal/spatial_dynamics/markov.py#L526

In v1.14.3, the `shtest` is opt-in. So this gives us a chance to curate data if we wanted to apply that test, optionally, instead of crashing:

https://github.com/pysal/pysal/blob/v1.14.3/pysal/spatial_dynamics/markov.py#L490

src/py/crankshaft/requirements.txt

@@ -1,5 +1,5 @@
 joblib==0.8.3
 numpy==1.6.1
 scipy==0.14.0
-pysal==1.11.2
+pysal==1.14.3
 scikit-learn==0.14.1

src/py/crankshaft/setup.py

@@ -41,7 +41,7 @@ setup(
     # The choice of component versions is dictated by what's
     # provisioned in the production servers.
     # IMPORTANT NOTE: please don't change this line. Instead issue a ticket to systems for evaluation.
-    install_requires=['joblib==0.8.3', 'numpy==1.6.1', 'scipy==0.14.0', 'pysal==1.11.2', 'scikit-learn==0.14.1'],
+    install_requires=['joblib==0.8.3', 'numpy==1.6.1', 'scipy==0.14.0', 'pysal==1.14.3', 'scikit-learn==0.14.1'],
 
     requires=['pysal', 'numpy', 'sklearn'],