Changes in sasmodels/product.py [058460c:146793b] in sasmodels

File:

• sasmodels/product.py (modified) (2 diffs)

sasmodels/product.py

@@ -100 +100 @@
     # Remember the component info blocks so we can build the model
     model_info.composition = ('product', [p_info, s_info])
+    model_info.control = p_info.control
+    model_info.hidden = p_info.hidden
+    if getattr(p_info, 'profile', None) is not None:
+        profile_pars = set(p.id for p in p_info.parameters.kernel_parameters)
+        def profile(**kwargs):
+            # extract the profile args
+            kwargs = dict((k, v) for k, v in kwargs.items() if k in profile_pars)
+            return p_info.profile(**kwargs)
+    else:
+        profile = None
+    model_info.profile = profile
+    model_info.profile_axes = p_info.profile_axes
+
     # TODO: delegate random to p_info, s_info
     #model_info.random = lambda: {}
@@ -129 +142 @@
     def __init__(self, model_info, P, S):
         # type: (ModelInfo, KernelModel, KernelModel) -> None
+        #: Combined info plock for the product model
         self.info = model_info
+        #: Form factor modelling individual particles.
         self.P = P
+        #: Structure factor modelling interaction between particles.
         self.S = S
-        self.dtype = P.dtype
+        #: Model precision. This is not really relevant, since it is the
+        #: individual P and S models that control the effective dtype,
+        #: converting the q-vectors to the correct type when the kernels
+        #: for each are created. Ideally this should be set to the more
+        #: precise type to avoid loss of precision, but precision in q is
+        #: not critical (single is good enough for our purposes), so it just
+        #: uses the precision of the form factor.
+        self.dtype = P.dtype  # type: np.dtype
 
     def make_kernel(self, q_vectors):