Fixed parameters.

docker/Dockerfile

@@ -61,7 +61,7 @@ RUN apt-get update && apt-get install -y libblas3 libblas-dev \
 					 gfortran\
 					 python-tk
 #RUN apt-get install -y libopenmpi-dev openmpi-bin openmpi-doc
-RUN pip install numpy scipy matplotlib progressbar ipython
+RUN pip install numpy scipy matplotlib progressbar ipython==5.3.0
 
 RUN git clone https://github.com/JohannesBuchner/MultiNest.git
 WORKDIR MultiNest/build

imagine/observables/observable.py

@@ -27,7 +27,7 @@ class Observable(Field):
             return self._ensemble_mean
 
     def _to_hdf5(self, hdf5_group):
-        if self._ensemble_mean is not None:
+        if hasattr(self, _ensemble_mean):
             return_dict = {'ensemble_mean': self._ensemble_mean}
         else:
             return_dict = {}

imagine/observers/hammurapy/hammurapy.py

@@ -169,7 +169,7 @@ class Hammurapy(Observer):
             parameter_dict = self.basic_parameters.copy()
 
             # set the parameters for a numerical run
-            parameter_dict['B_field_interp'] = 'T'
+            parameter_dict['B_field_interp'] = 'F'
             parameter_dict['use_B_analytic'] = 'F'
 
             self._build_parameter_dict(

imagine/observers/hammurapy/model_mixins/wmap3yr_mixin.py

@@ -10,7 +10,7 @@ class WMAP3yrMixin(object):
 
         self.__parameter_dict = {'B_field_type': '1',
                                  'B_field_do_random': 'T',
-                                 'B_field_z_antisym': '0',
+                                 'B_field_z_antisym': 'F',
                                  }
         super(WMAP3yrMixin, self).__init__(hammurabi_executable,
                                            conf_directory,