Index: sansmodels/src/sans/models/c_models/CGaussian.cpp
===================================================================
--- sansmodels/src/sans/models/c_models/CGaussian.cpp	(revision 95986b51aaa51d5bcecf55fc1d098074999e593b)
+++ sansmodels/src/sans/models/c_models/CGaussian.cpp	(revision 95986b51aaa51d5bcecf55fc1d098074999e593b)
@@ -0,0 +1,351 @@
+/**
+	This software was developed by the University of Tennessee as part of the
+	Distributed Data Analysis of Neutron Scattering Experiments (DANSE)
+	project funded by the US National Science Foundation.
+
+	If you use DANSE applications to do scientific research that leads to
+	publication, we ask that you acknowledge the use of the software with the
+	following sentence:
+
+	"This work benefited from DANSE software developed under NSF award DMR-0520547."
+
+	copyright 2008, University of Tennessee
+ */
+
+/** [PYTHONCLASS]
+ *
+ * C extension 
+ *
+ * WARNING: THIS FILE WAS GENERATED BY WRAPPERGENERATOR.PY
+ *          DO NOT MODIFY THIS FILE, MODIFY gaussian.h
+ *          AND RE-RUN THE GENERATOR SCRIPT
+ *
+ */
+ 
+extern "C" {
+#include <Python.h>
+#include "structmember.h"
+#include <stdio.h>
+#include <stdlib.h>
+#include <math.h>
+#include <time.h>
+#include "gaussian.h"
+}
+
+#include "models.hh"
+#include "dispersion_visitor.hh"
+
+/// Error object for raised exceptions
+static PyObject * [PYTHONCLASS]Error = NULL;
+
+
+// Class definition
+typedef struct {
+    PyObject_HEAD
+    /// Parameters
+    PyObject * params;
+    /// Dispersion parameters
+    PyObject * dispersion;
+    /// Underlying model object
+    Gaussian * model;
+    /// Log for unit testing
+    PyObject * log;
+} [PYTHONCLASS];
+
+
+static void
+[PYTHONCLASS]_dealloc([PYTHONCLASS]* self)
+{
+    self->ob_type->tp_free((PyObject*)self);
+    
+
+}
+
+static PyObject *
+[PYTHONCLASS]_new(PyTypeObject *type, PyObject *args, PyObject *kwds)
+{
+    [PYTHONCLASS] *self;
+    
+    self = ([PYTHONCLASS] *)type->tp_alloc(type, 0);
+   
+    return (PyObject *)self;
+}
+
+static int
+[PYTHONCLASS]_init([PYTHONCLASS] *self, PyObject *args, PyObject *kwds)
+{
+    if (self != NULL) {
+    	
+    	// Create parameters
+        self->params = PyDict_New();
+        self->dispersion = PyDict_New();
+        self->model = new Gaussian();
+        
+        // Initialize parameter dictionary
+        PyDict_SetItemString(self->params,"scale",Py_BuildValue("d",1.000000));
+        PyDict_SetItemString(self->params,"sigma",Py_BuildValue("d",1.000000));
+        PyDict_SetItemString(self->params,"center",Py_BuildValue("d",0.000000));
+        // Initialize dispersion / averaging parameter dict
+        DispersionVisitor* visitor = new DispersionVisitor();
+        PyObject * disp_dict;
+
+
+         
+        // Create empty log
+        self->log = PyDict_New();
+        
+        
+
+    }
+    return 0;
+}
+
+static PyMemberDef [PYTHONCLASS]_members[] = {
+    {"params", T_OBJECT, offsetof([PYTHONCLASS], params), 0,
+     "Parameters"},
+	{"dispersion", T_OBJECT, offsetof([PYTHONCLASS], dispersion), 0,
+	  "Dispersion parameters"},     
+    {"log", T_OBJECT, offsetof([PYTHONCLASS], log), 0,
+     "Log"},
+    {NULL}  /* Sentinel */
+};
+
+/** Read double from PyObject
+    @param p PyObject
+    @return double
+*/
+double [PYTHONCLASS]_readDouble(PyObject *p) {
+    if (PyFloat_Check(p)==1) {
+        return (double)(((PyFloatObject *)(p))->ob_fval);
+    } else if (PyInt_Check(p)==1) {
+        return (double)(((PyIntObject *)(p))->ob_ival);
+    } else if (PyLong_Check(p)==1) {
+        return (double)PyLong_AsLong(p);
+    } else {
+        return 0.0;
+    }
+}
+
+
+/**
+ * Function to call to evaluate model
+ * @param args: input q or [q,phi]
+ * @return: function value
+ */
+static PyObject * run([PYTHONCLASS] *self, PyObject *args) {
+	double q_value, phi_value;
+	PyObject* pars;
+	int npars;
+	
+	// Get parameters
+	
+	    // Reader parameter dictionary
+    self->model->scale = PyFloat_AsDouble( PyDict_GetItemString(self->params, "scale") );
+    self->model->sigma = PyFloat_AsDouble( PyDict_GetItemString(self->params, "sigma") );
+    self->model->center = PyFloat_AsDouble( PyDict_GetItemString(self->params, "center") );
+    // Read in dispersion parameters
+    PyObject* disp_dict;
+    DispersionVisitor* visitor = new DispersionVisitor();
+
+	
+	// Get input and determine whether we have to supply a 1D or 2D return value.
+	if ( !PyArg_ParseTuple(args,"O",&pars) ) {
+	    PyErr_SetString([PYTHONCLASS]Error, 
+	    	"[PYTHONCLASS].run expects a q value.");
+		return NULL;
+	}
+	  
+	// Check params
+	if( PyList_Check(pars)==1) {
+		
+		// Length of list should be 2 for I(q,phi)
+	    npars = PyList_GET_SIZE(pars); 
+	    if(npars!=2) {
+	    	PyErr_SetString([PYTHONCLASS]Error, 
+	    		"[PYTHONCLASS].run expects a double or a list of dimension 2.");
+	    	return NULL;
+	    }
+	    // We have a vector q, get the q and phi values at which
+	    // to evaluate I(q,phi)
+	    q_value = [PYTHONCLASS]_readDouble(PyList_GET_ITEM(pars,0));
+	    phi_value = [PYTHONCLASS]_readDouble(PyList_GET_ITEM(pars,1));
+	    // Skip zero
+	    if (q_value==0) {
+	    	return Py_BuildValue("d",0.0);
+	    }
+		return Py_BuildValue("d",(*(self->model)).evaluate_rphi(q_value,phi_value));
+
+	} else {
+
+		// We have a scalar q, we will evaluate I(q)
+		q_value = [PYTHONCLASS]_readDouble(pars);		
+		
+		return Py_BuildValue("d",(*(self->model))(q_value));
+	}	
+}
+
+/**
+ * Function to call to evaluate model in cartesian coordinates
+ * @param args: input q or [qx, qy]]
+ * @return: function value
+ */
+static PyObject * runXY([PYTHONCLASS] *self, PyObject *args) {
+	double qx_value, qy_value;
+	PyObject* pars;
+	int npars;
+	
+	// Get parameters
+	
+	    // Reader parameter dictionary
+    self->model->scale = PyFloat_AsDouble( PyDict_GetItemString(self->params, "scale") );
+    self->model->sigma = PyFloat_AsDouble( PyDict_GetItemString(self->params, "sigma") );
+    self->model->center = PyFloat_AsDouble( PyDict_GetItemString(self->params, "center") );
+    // Read in dispersion parameters
+    PyObject* disp_dict;
+    DispersionVisitor* visitor = new DispersionVisitor();
+
+	
+	// Get input and determine whether we have to supply a 1D or 2D return value.
+	if ( !PyArg_ParseTuple(args,"O",&pars) ) {
+	    PyErr_SetString([PYTHONCLASS]Error, 
+	    	"[PYTHONCLASS].run expects a q value.");
+		return NULL;
+	}
+	  
+	// Check params
+	if( PyList_Check(pars)==1) {
+		
+		// Length of list should be 2 for I(qx, qy))
+	    npars = PyList_GET_SIZE(pars); 
+	    if(npars!=2) {
+	    	PyErr_SetString([PYTHONCLASS]Error, 
+	    		"[PYTHONCLASS].run expects a double or a list of dimension 2.");
+	    	return NULL;
+	    }
+	    // We have a vector q, get the qx and qy values at which
+	    // to evaluate I(qx,qy)
+	    qx_value = [PYTHONCLASS]_readDouble(PyList_GET_ITEM(pars,0));
+	    qy_value = [PYTHONCLASS]_readDouble(PyList_GET_ITEM(pars,1));
+	    return Py_BuildValue("d",(*(self->model))(qx_value,qy_value));
+
+	} else {
+
+		// We have a scalar q, we will evaluate I(q)
+		qx_value = [PYTHONCLASS]_readDouble(pars);		
+		
+		return Py_BuildValue("d",(*(self->model))(qx_value));
+	}	
+}
+
+static PyObject * reset([PYTHONCLASS] *self, PyObject *args) {
+    
+
+    return Py_BuildValue("d",0.0);
+}
+
+static PyObject * set_dispersion([PYTHONCLASS] *self, PyObject *args) {
+	PyObject * disp;
+	const char * par_name;
+
+	if ( !PyArg_ParseTuple(args,"sO", &par_name, &disp) ) {
+	    PyErr_SetString([PYTHONCLASS]Error,
+	    	"[PYTHONCLASS].set_dispersion expects a DispersionModel object.");
+		return NULL;
+	}
+	void *temp = PyCObject_AsVoidPtr(disp);
+	DispersionModel * dispersion = static_cast<DispersionModel *>(temp);
+
+
+	// Ugliness necessary to go from python to C
+	    // TODO: refactor this
+ {
+	    PyErr_SetString([PYTHONCLASS]Error,
+	    	"[PYTHONCLASS].set_dispersion expects a valid parameter name.");
+		return NULL;
+	}
+
+	DispersionVisitor* visitor = new DispersionVisitor();
+	PyObject * disp_dict = PyDict_New();
+	dispersion->accept_as_source(visitor, dispersion, disp_dict);
+	PyDict_SetItemString(self->dispersion, par_name, disp_dict);
+    return Py_BuildValue("i",1);
+}
+
+
+static PyMethodDef [PYTHONCLASS]_methods[] = {
+    {"run",      (PyCFunction)run     , METH_VARARGS,
+      "Evaluate the model at a given Q or Q, phi"},
+    {"runXY",      (PyCFunction)runXY     , METH_VARARGS,
+      "Evaluate the model at a given Q or Qx, Qy"},
+    {"reset",    (PyCFunction)reset   , METH_VARARGS,
+      "Reset pair correlation"},
+    {"set_dispersion",      (PyCFunction)set_dispersion     , METH_VARARGS,
+      "Set the dispersion model for a given parameter"},
+   {NULL}
+};
+
+static PyTypeObject [PYTHONCLASS]Type = {
+    PyObject_HEAD_INIT(NULL)
+    0,                         /*ob_size*/
+    "[PYTHONCLASS]",             /*tp_name*/
+    sizeof([PYTHONCLASS]),             /*tp_basicsize*/
+    0,                         /*tp_itemsize*/
+    (destructor)[PYTHONCLASS]_dealloc, /*tp_dealloc*/
+    0,                         /*tp_print*/
+    0,                         /*tp_getattr*/
+    0,                         /*tp_setattr*/
+    0,                         /*tp_compare*/
+    0,                         /*tp_repr*/
+    0,                         /*tp_as_number*/
+    0,                         /*tp_as_sequence*/
+    0,                         /*tp_as_mapping*/
+    0,                         /*tp_hash */
+    0,                         /*tp_call*/
+    0,                         /*tp_str*/
+    0,                         /*tp_getattro*/
+    0,                         /*tp_setattro*/
+    0,                         /*tp_as_buffer*/
+    Py_TPFLAGS_DEFAULT | Py_TPFLAGS_BASETYPE, /*tp_flags*/
+    "[PYTHONCLASS] objects",           /* tp_doc */
+    0,		               /* tp_traverse */
+    0,		               /* tp_clear */
+    0,		               /* tp_richcompare */
+    0,		               /* tp_weaklistoffset */
+    0,		               /* tp_iter */
+    0,		               /* tp_iternext */
+    [PYTHONCLASS]_methods,             /* tp_methods */
+    [PYTHONCLASS]_members,             /* tp_members */
+    0,                         /* tp_getset */
+    0,                         /* tp_base */
+    0,                         /* tp_dict */
+    0,                         /* tp_descr_get */
+    0,                         /* tp_descr_set */
+    0,                         /* tp_dictoffset */
+    (initproc)[PYTHONCLASS]_init,      /* tp_init */
+    0,                         /* tp_alloc */
+    [PYTHONCLASS]_new,                 /* tp_new */
+};
+
+
+static PyMethodDef module_methods[] = {
+    {NULL} 
+};
+
+/**
+ * Function used to add the model class to a module
+ * @param module: module to add the class to
+ */ 
+void add[PYTHONCLASS](PyObject *module) {
+	PyObject *d;
+	
+    if (PyType_Ready(&[PYTHONCLASS]Type) < 0)
+        return;
+
+    Py_INCREF(&[PYTHONCLASS]Type);
+    PyModule_AddObject(module, "[PYTHONCLASS]", (PyObject *)&[PYTHONCLASS]Type);
+    
+    d = PyModule_GetDict(module);
+    [PYTHONCLASS]Error = PyErr_NewException("[PYTHONCLASS].error", NULL, NULL);
+    PyDict_SetItemString(d, "[PYTHONCLASS]Error", [PYTHONCLASS]Error);
+}
+
Index: sansmodels/src/sans/models/c_models/CLorentzian.cpp
===================================================================
--- sansmodels/src/sans/models/c_models/CLorentzian.cpp	(revision 95986b51aaa51d5bcecf55fc1d098074999e593b)
+++ sansmodels/src/sans/models/c_models/CLorentzian.cpp	(revision 95986b51aaa51d5bcecf55fc1d098074999e593b)
@@ -0,0 +1,351 @@
+/**
+	This software was developed by the University of Tennessee as part of the
+	Distributed Data Analysis of Neutron Scattering Experiments (DANSE)
+	project funded by the US National Science Foundation.
+
+	If you use DANSE applications to do scientific research that leads to
+	publication, we ask that you acknowledge the use of the software with the
+	following sentence:
+
+	"This work benefited from DANSE software developed under NSF award DMR-0520547."
+
+	copyright 2008, University of Tennessee
+ */
+
+/** [PYTHONCLASS]
+ *
+ * C extension 
+ *
+ * WARNING: THIS FILE WAS GENERATED BY WRAPPERGENERATOR.PY
+ *          DO NOT MODIFY THIS FILE, MODIFY lorentzian.h
+ *          AND RE-RUN THE GENERATOR SCRIPT
+ *
+ */
+ 
+extern "C" {
+#include <Python.h>
+#include "structmember.h"
+#include <stdio.h>
+#include <stdlib.h>
+#include <math.h>
+#include <time.h>
+#include "lorentzian.h"
+}
+
+#include "models.hh"
+#include "dispersion_visitor.hh"
+
+/// Error object for raised exceptions
+static PyObject * [PYTHONCLASS]Error = NULL;
+
+
+// Class definition
+typedef struct {
+    PyObject_HEAD
+    /// Parameters
+    PyObject * params;
+    /// Dispersion parameters
+    PyObject * dispersion;
+    /// Underlying model object
+    Lorentzian * model;
+    /// Log for unit testing
+    PyObject * log;
+} [PYTHONCLASS];
+
+
+static void
+[PYTHONCLASS]_dealloc([PYTHONCLASS]* self)
+{
+    self->ob_type->tp_free((PyObject*)self);
+    
+
+}
+
+static PyObject *
+[PYTHONCLASS]_new(PyTypeObject *type, PyObject *args, PyObject *kwds)
+{
+    [PYTHONCLASS] *self;
+    
+    self = ([PYTHONCLASS] *)type->tp_alloc(type, 0);
+   
+    return (PyObject *)self;
+}
+
+static int
+[PYTHONCLASS]_init([PYTHONCLASS] *self, PyObject *args, PyObject *kwds)
+{
+    if (self != NULL) {
+    	
+    	// Create parameters
+        self->params = PyDict_New();
+        self->dispersion = PyDict_New();
+        self->model = new Lorentzian();
+        
+        // Initialize parameter dictionary
+        PyDict_SetItemString(self->params,"scale",Py_BuildValue("d",1.000000));
+        PyDict_SetItemString(self->params,"center",Py_BuildValue("d",0.000000));
+        PyDict_SetItemString(self->params,"gamma",Py_BuildValue("d",1.000000));
+        // Initialize dispersion / averaging parameter dict
+        DispersionVisitor* visitor = new DispersionVisitor();
+        PyObject * disp_dict;
+
+
+         
+        // Create empty log
+        self->log = PyDict_New();
+        
+        
+
+    }
+    return 0;
+}
+
+static PyMemberDef [PYTHONCLASS]_members[] = {
+    {"params", T_OBJECT, offsetof([PYTHONCLASS], params), 0,
+     "Parameters"},
+	{"dispersion", T_OBJECT, offsetof([PYTHONCLASS], dispersion), 0,
+	  "Dispersion parameters"},     
+    {"log", T_OBJECT, offsetof([PYTHONCLASS], log), 0,
+     "Log"},
+    {NULL}  /* Sentinel */
+};
+
+/** Read double from PyObject
+    @param p PyObject
+    @return double
+*/
+double [PYTHONCLASS]_readDouble(PyObject *p) {
+    if (PyFloat_Check(p)==1) {
+        return (double)(((PyFloatObject *)(p))->ob_fval);
+    } else if (PyInt_Check(p)==1) {
+        return (double)(((PyIntObject *)(p))->ob_ival);
+    } else if (PyLong_Check(p)==1) {
+        return (double)PyLong_AsLong(p);
+    } else {
+        return 0.0;
+    }
+}
+
+
+/**
+ * Function to call to evaluate model
+ * @param args: input q or [q,phi]
+ * @return: function value
+ */
+static PyObject * run([PYTHONCLASS] *self, PyObject *args) {
+	double q_value, phi_value;
+	PyObject* pars;
+	int npars;
+	
+	// Get parameters
+	
+	    // Reader parameter dictionary
+    self->model->scale = PyFloat_AsDouble( PyDict_GetItemString(self->params, "scale") );
+    self->model->center = PyFloat_AsDouble( PyDict_GetItemString(self->params, "center") );
+    self->model->gamma = PyFloat_AsDouble( PyDict_GetItemString(self->params, "gamma") );
+    // Read in dispersion parameters
+    PyObject* disp_dict;
+    DispersionVisitor* visitor = new DispersionVisitor();
+
+	
+	// Get input and determine whether we have to supply a 1D or 2D return value.
+	if ( !PyArg_ParseTuple(args,"O",&pars) ) {
+	    PyErr_SetString([PYTHONCLASS]Error, 
+	    	"[PYTHONCLASS].run expects a q value.");
+		return NULL;
+	}
+	  
+	// Check params
+	if( PyList_Check(pars)==1) {
+		
+		// Length of list should be 2 for I(q,phi)
+	    npars = PyList_GET_SIZE(pars); 
+	    if(npars!=2) {
+	    	PyErr_SetString([PYTHONCLASS]Error, 
+	    		"[PYTHONCLASS].run expects a double or a list of dimension 2.");
+	    	return NULL;
+	    }
+	    // We have a vector q, get the q and phi values at which
+	    // to evaluate I(q,phi)
+	    q_value = [PYTHONCLASS]_readDouble(PyList_GET_ITEM(pars,0));
+	    phi_value = [PYTHONCLASS]_readDouble(PyList_GET_ITEM(pars,1));
+	    // Skip zero
+	    if (q_value==0) {
+	    	return Py_BuildValue("d",0.0);
+	    }
+		return Py_BuildValue("d",(*(self->model)).evaluate_rphi(q_value,phi_value));
+
+	} else {
+
+		// We have a scalar q, we will evaluate I(q)
+		q_value = [PYTHONCLASS]_readDouble(pars);		
+		
+		return Py_BuildValue("d",(*(self->model))(q_value));
+	}	
+}
+
+/**
+ * Function to call to evaluate model in cartesian coordinates
+ * @param args: input q or [qx, qy]]
+ * @return: function value
+ */
+static PyObject * runXY([PYTHONCLASS] *self, PyObject *args) {
+	double qx_value, qy_value;
+	PyObject* pars;
+	int npars;
+	
+	// Get parameters
+	
+	    // Reader parameter dictionary
+    self->model->scale = PyFloat_AsDouble( PyDict_GetItemString(self->params, "scale") );
+    self->model->center = PyFloat_AsDouble( PyDict_GetItemString(self->params, "center") );
+    self->model->gamma = PyFloat_AsDouble( PyDict_GetItemString(self->params, "gamma") );
+    // Read in dispersion parameters
+    PyObject* disp_dict;
+    DispersionVisitor* visitor = new DispersionVisitor();
+
+	
+	// Get input and determine whether we have to supply a 1D or 2D return value.
+	if ( !PyArg_ParseTuple(args,"O",&pars) ) {
+	    PyErr_SetString([PYTHONCLASS]Error, 
+	    	"[PYTHONCLASS].run expects a q value.");
+		return NULL;
+	}
+	  
+	// Check params
+	if( PyList_Check(pars)==1) {
+		
+		// Length of list should be 2 for I(qx, qy))
+	    npars = PyList_GET_SIZE(pars); 
+	    if(npars!=2) {
+	    	PyErr_SetString([PYTHONCLASS]Error, 
+	    		"[PYTHONCLASS].run expects a double or a list of dimension 2.");
+	    	return NULL;
+	    }
+	    // We have a vector q, get the qx and qy values at which
+	    // to evaluate I(qx,qy)
+	    qx_value = [PYTHONCLASS]_readDouble(PyList_GET_ITEM(pars,0));
+	    qy_value = [PYTHONCLASS]_readDouble(PyList_GET_ITEM(pars,1));
+	    return Py_BuildValue("d",(*(self->model))(qx_value,qy_value));
+
+	} else {
+
+		// We have a scalar q, we will evaluate I(q)
+		qx_value = [PYTHONCLASS]_readDouble(pars);		
+		
+		return Py_BuildValue("d",(*(self->model))(qx_value));
+	}	
+}
+
+static PyObject * reset([PYTHONCLASS] *self, PyObject *args) {
+    
+
+    return Py_BuildValue("d",0.0);
+}
+
+static PyObject * set_dispersion([PYTHONCLASS] *self, PyObject *args) {
+	PyObject * disp;
+	const char * par_name;
+
+	if ( !PyArg_ParseTuple(args,"sO", &par_name, &disp) ) {
+	    PyErr_SetString([PYTHONCLASS]Error,
+	    	"[PYTHONCLASS].set_dispersion expects a DispersionModel object.");
+		return NULL;
+	}
+	void *temp = PyCObject_AsVoidPtr(disp);
+	DispersionModel * dispersion = static_cast<DispersionModel *>(temp);
+
+
+	// Ugliness necessary to go from python to C
+	    // TODO: refactor this
+ {
+	    PyErr_SetString([PYTHONCLASS]Error,
+	    	"[PYTHONCLASS].set_dispersion expects a valid parameter name.");
+		return NULL;
+	}
+
+	DispersionVisitor* visitor = new DispersionVisitor();
+	PyObject * disp_dict = PyDict_New();
+	dispersion->accept_as_source(visitor, dispersion, disp_dict);
+	PyDict_SetItemString(self->dispersion, par_name, disp_dict);
+    return Py_BuildValue("i",1);
+}
+
+
+static PyMethodDef [PYTHONCLASS]_methods[] = {
+    {"run",      (PyCFunction)run     , METH_VARARGS,
+      "Evaluate the model at a given Q or Q, phi"},
+    {"runXY",      (PyCFunction)runXY     , METH_VARARGS,
+      "Evaluate the model at a given Q or Qx, Qy"},
+    {"reset",    (PyCFunction)reset   , METH_VARARGS,
+      "Reset pair correlation"},
+    {"set_dispersion",      (PyCFunction)set_dispersion     , METH_VARARGS,
+      "Set the dispersion model for a given parameter"},
+   {NULL}
+};
+
+static PyTypeObject [PYTHONCLASS]Type = {
+    PyObject_HEAD_INIT(NULL)
+    0,                         /*ob_size*/
+    "[PYTHONCLASS]",             /*tp_name*/
+    sizeof([PYTHONCLASS]),             /*tp_basicsize*/
+    0,                         /*tp_itemsize*/
+    (destructor)[PYTHONCLASS]_dealloc, /*tp_dealloc*/
+    0,                         /*tp_print*/
+    0,                         /*tp_getattr*/
+    0,                         /*tp_setattr*/
+    0,                         /*tp_compare*/
+    0,                         /*tp_repr*/
+    0,                         /*tp_as_number*/
+    0,                         /*tp_as_sequence*/
+    0,                         /*tp_as_mapping*/
+    0,                         /*tp_hash */
+    0,                         /*tp_call*/
+    0,                         /*tp_str*/
+    0,                         /*tp_getattro*/
+    0,                         /*tp_setattro*/
+    0,                         /*tp_as_buffer*/
+    Py_TPFLAGS_DEFAULT | Py_TPFLAGS_BASETYPE, /*tp_flags*/
+    "[PYTHONCLASS] objects",           /* tp_doc */
+    0,		               /* tp_traverse */
+    0,		               /* tp_clear */
+    0,		               /* tp_richcompare */
+    0,		               /* tp_weaklistoffset */
+    0,		               /* tp_iter */
+    0,		               /* tp_iternext */
+    [PYTHONCLASS]_methods,             /* tp_methods */
+    [PYTHONCLASS]_members,             /* tp_members */
+    0,                         /* tp_getset */
+    0,                         /* tp_base */
+    0,                         /* tp_dict */
+    0,                         /* tp_descr_get */
+    0,                         /* tp_descr_set */
+    0,                         /* tp_dictoffset */
+    (initproc)[PYTHONCLASS]_init,      /* tp_init */
+    0,                         /* tp_alloc */
+    [PYTHONCLASS]_new,                 /* tp_new */
+};
+
+
+static PyMethodDef module_methods[] = {
+    {NULL} 
+};
+
+/**
+ * Function used to add the model class to a module
+ * @param module: module to add the class to
+ */ 
+void add[PYTHONCLASS](PyObject *module) {
+	PyObject *d;
+	
+    if (PyType_Ready(&[PYTHONCLASS]Type) < 0)
+        return;
+
+    Py_INCREF(&[PYTHONCLASS]Type);
+    PyModule_AddObject(module, "[PYTHONCLASS]", (PyObject *)&[PYTHONCLASS]Type);
+    
+    d = PyModule_GetDict(module);
+    [PYTHONCLASS]Error = PyErr_NewException("[PYTHONCLASS].error", NULL, NULL);
+    PyDict_SetItemString(d, "[PYTHONCLASS]Error", [PYTHONCLASS]Error);
+}
+
Index: sansmodels/src/sans/models/c_models/WrapperGenerator.py
===================================================================
--- sansmodels/src/sans/models/c_models/WrapperGenerator.py	(revision 9316609c953db33f23a48a9b91ce5b283ea935f4)
+++ sansmodels/src/sans/models/c_models/WrapperGenerator.py	(revision 95986b51aaa51d5bcecf55fc1d098074999e593b)
@@ -3,5 +3,5 @@
 """
 
-import os, sys
+import os, sys,re
 
 class WrapperGenerator:
@@ -137,4 +137,5 @@
                         break
                 except:
+                     raise
                      raise ValueError, "Could not parse file %s" % self.file
             elif find_description==1:
@@ -240,5 +241,5 @@
                     raise ValueError, "Could not parse file %s" % self.file
                
-                
+        
                 
     def write_c_wrapper(self):
@@ -260,6 +261,6 @@
                                         "[PYTHONCLASS]", 'C'+self.pythonClass)
             #Catch model description
-            newline = self.replaceToken(tmp_line, 
-                                        "[DESCRIPTION]", self.description)
+            #newline = self.replaceToken(tmp_line, 
+            #                            "[DESCRIPTION]", self.description)
             # Catch C model name
             newline = self.replaceToken(newline, 
@@ -351,5 +352,4 @@
                                         "[SET_DISPERSION]", set_weights)     
             
-            
             # Write new line to the wrapper .c file
             file.write(newline+'\n')
@@ -386,11 +386,11 @@
             newline = self.replaceToken(newline, 
                                         "[DEFAULT_LIST]", self.default_list)
-
+            # model description
+            newline = self.replaceToken(newline, 
+                                        "[DESCRIPTION]", self.description)
             # Parameter details
             newline = self.replaceToken(newline, 
                                         "[PAR_DETAILS]", self.details)
-            # Parameter details
-            newline = self.replaceToken(newline, 
-                                        "[DESCRIPTION]", self.description)
+           
 
             # Write new line to the wrapper .c file
@@ -419,4 +419,5 @@
     if len(sys.argv)>1:
         print "Will look for file %s" % sys.argv[1]
+    #app = WrapperGenerator('../c_extensions/elliptical_cylinder.h')
         app = WrapperGenerator(sys.argv[1])
     else:
