--- a/transformations/local_elastic_distortions.py	Fri Jan 29 14:12:09 2010 -0500
+++ b/transformations/local_elastic_distortions.py	Fri Jan 29 17:16:04 2010 -0500
@@ -106,7 +106,12 @@
             idx = numpy.random.randint(0, len(self.precomputed_params))
             self.current_params = self.precomputed_params[idx]
 
-        return self.current_params.alpha_sigma()
+        # don't return anything, to avoid storing deterministic parameters
+        return [] # self.current_params.alpha_sigma()
+
+    def get_parameters_determined_by_complexity(self, complexity):
+        tmp_params = self._initialize_new_params(complexity)
+        return tmp_params.alpha_sigma()
 
     # adapted from http://blenderartists.org/forum/showthread.php?t=163361
     def _gen_gaussian_kernel(self, sigma):
@@ -147,23 +152,25 @@
         return params.alpha * field
         
 
-    def _initialize_new_params(self):
+    def _initialize_new_params(self, complexity=None):
+        if not complexity:
+            complexity = self.current_complexity
+
         params = ElasticDistortionParams(self.image_size)
 
-        cpx = self.current_complexity
         # pour faire progresser la complexité un peu plus vite
         # tout en gardant les extrêmes de 0.0 et 1.0
-        cpx = cpx ** (1./3.)
+        complexity = complexity ** (1./3.)
 
         # the smaller the alpha, the closest the pixels are fetched
         # a max of 10 is reasonable
-        params.alpha = cpx * 10.0
+        params.alpha = complexity * 10.0
 
         # the bigger the sigma, the smoother is the distortion
         # max of 1 is "reasonable", but produces VERY noisy results
         # And the bigger the sigma, the bigger the blur kernel, and the
         # slower the field generation, btw.
-        params.sigma = 10.0 - (7.0 * cpx)
+        params.sigma = 10.0 - (7.0 * complexity)
 
         return params
 
@@ -308,7 +315,8 @@
     img = _load_image(imgpath)
     dist = LocalElasticDistorter((32,32))
     print dist.regenerate_parameters(0.5)
-    img = dist.distort_image(img)
+    img = dist.transform_image(img)
+    print dist.get_parameters_determined_by_complexity(0.4)
     pylab.imshow(img)
     pylab.show()
 
@@ -419,8 +427,9 @@
     import os.path
     #_distorter_tests()
     #_benchmark()
-    #_specific_test()
+    _specific_test()
     #_complexity_tests()
-    _complexity_benchmark()
+    #_complexity_benchmark()
+