Author: bugman
Date: Tue Aug 26 17:13:48 2014
New Revision: 25296

URL: http://svn.gna.org/viewcvs/relax?rev=25296&view=rev
Log:
Shifted all of the parameter Python lists to C arrays into the new param_to_c() 
function.

This is for the target_functions.relax_fit C module to avoid much duplicated 
code.


Modified:
    trunk/target_functions/relax_fit.c

Modified: trunk/target_functions/relax_fit.c
URL: 
http://svn.gna.org/viewcvs/relax/trunk/target_functions/relax_fit.c?rev=25296&r1=25295&r2=25296&view=diff
==============================================================================
--- trunk/target_functions/relax_fit.c  (original)
+++ trunk/target_functions/relax_fit.c  Tue Aug 26 17:13:48 2014
@@ -76,6 +76,27 @@
     Py_RETURN_NONE;
 }
 
+
+void param_to_c(PyObject *params_arg) {
+    /* Convert the Python parameter list to a C array. */
+
+    /* Declarations */
+    PyObject *element;
+    int i;
+
+    /* Place the parameter array elements into the C array */
+    for (i = 0; i < num_params; i++) {
+        /* Get the element */
+        element = PySequence_GetItem(params_arg, i);
+
+        /* Convert to a C double, then free the memory. */
+        params[i] = PyFloat_AsDouble(element);
+        Py_CLEAR(element);
+
+        /* Scale the parameter */
+        params[i] = params[i] * scaling_matrix[i];
+    }
+}
 
 static PyObject *
 func(PyObject *self, PyObject *args) {
@@ -87,25 +108,13 @@
 
     /* Declarations */
     PyObject *params_arg;
-    PyObject *element;
-    int i;
 
     /* Parse the function arguments, the only argument should be the parameter 
array */
     if (!PyArg_ParseTuple(args, "O", &params_arg))
         return NULL;
 
-    /* Place the parameter array elements into the C array */
-    for (i = 0; i < num_params; i++) {
-        /* Get the element */
-        element = PySequence_GetItem(params_arg, i);
-
-        /* Convert to a C double, then free the memory. */
-        params[i] = PyFloat_AsDouble(element);
-        Py_CLEAR(element);
-
-        /* Scale the parameter */
-        params[i] = params[i] * scaling_matrix[i];
-    }
+    /* Convert the parameters Python list to a C array */
+    param_to_c(params_arg);
 
     /* Back calculated the peak intensities */
     exponential(params[index_I0], params[index_R], relax_times, back_calc, 
num_times);
@@ -124,25 +133,14 @@
 
     /* Declarations */
     PyObject *params_arg;
-    PyObject *element;
     int i;
 
     /* Parse the function arguments, the only argument should be the parameter 
array */
     if (!PyArg_ParseTuple(args, "O", &params_arg))
         return NULL;
 
-    /* Place the parameter array elements into the C array */
-    for (i = 0; i < num_params; i++) {
-        /* Get the element */
-        element = PySequence_GetItem(params_arg, i);
-
-        /* Convert to a C double, then free the memory. */
-        params[i] = PyFloat_AsDouble(element);
-        Py_CLEAR(element);
-
-        /* Scale the parameter */
-        params[i] = params[i] * scaling_matrix[i];
-    }
+    /* Convert the parameters Python list to a C array */
+    param_to_c(params_arg);
 
     /* Back calculated the peak intensities */
     exponential(params[index_I0], params[index_R], relax_times, back_calc, 
num_times);
@@ -199,25 +197,14 @@
 
     /* Declarations */
     PyObject *params_arg;
-    PyObject *element;
     int i, j;
 
     /* Parse the function arguments, the only argument should be the parameter 
array */
     if (!PyArg_ParseTuple(args, "O", &params_arg))
         return NULL;
 
-    /* Place the parameter array elements into the C array */
-    for (i = 0; i < num_params; i++) {
-        /* Get the element */
-        element = PySequence_GetItem(params_arg, i);
-
-        /* Convert to a C double, then free the memory. */
-        params[i] = PyFloat_AsDouble(element);
-        Py_CLEAR(element);
-
-        /* Scale the parameter */
-        params[i] = params[i] * scaling_matrix[i];
-    }
+    /* Convert the parameters Python list to a C array */
+    param_to_c(params_arg);
 
     /* The partial derivates */
     exponential_dR(params[index_I0], params[index_R], index_R, relax_times, 
back_calc_grad, num_times);


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