[Scipy-svn] r4423 - trunk/scipy/ndimage

scipy-svn@scip... scipy-svn@scip...
Tue Jun 10 01:35:33 CDT 2008


Author: rkern
Date: 2008-06-10 01:35:31 -0500 (Tue, 10 Jun 2008)
New Revision: 4423

Modified:
   trunk/scipy/ndimage/_registration.py
Log:
Correct syntax typo. Fix a few undefined references while I'm at it, too. pyflakes rules.

Modified: trunk/scipy/ndimage/_registration.py
===================================================================
--- trunk/scipy/ndimage/_registration.py	2008-06-10 03:40:56 UTC (rev 4422)
+++ trunk/scipy/ndimage/_registration.py	2008-06-10 06:35:31 UTC (rev 4423)
@@ -68,7 +68,7 @@
     """
 
     # get the zoom
-    Z = imageS.diagonal() / imageR.diagonal()
+    Z = imageS_mat.diagonal() / imageR_mat.diagonal()
 
     # new volume dimensions (rounded). D, imageS and Z are 3D and this is a vector element product
     D = (imageS.shape * Z + 0.5).astype(np.int16)
@@ -300,7 +300,7 @@
     step = np.array([1, 1, 1], dtype=np.int32)
     fwhm = np.zeros(2, dtype=np.int32)
     # make the step a scalar to can put in a multi-res loop
-    loop = range(size(multires))
+    loop = range(np.size(multires))
     # 6-D zero vector
     x = np.zeros(6, dtype=np.float64);
     # the kernel fwhm value for the x and y joint histogram filter
@@ -1120,7 +1120,7 @@
     # the sampling structure
     step = np.array([1, 1, 1], dtype=np.int32)
     # the volume filter
-    imageF_anat_fwhm = build_fwhm(mat_anat, step)
+    imageF_anat_fwhm = build_fwhm(anat_mat, step)
 
 
     # allocate the structure for the processed fMRI array
@@ -1142,7 +1142,8 @@
 
     # blank volume that will be used for ensemble average for fMRI volumes
     # prior to functional-anatomical coregistration
-    ave_fMRI_volume = np.zeros([fmri_desc['layers']*fmri_desc['rows']*fmri_desc['cols']].dtype=np.float64)
+    ave_fMRI_volume = np.zeros([fmri_desc['layers']*fmri_desc['rows']*fmri_desc['cols']],
+        dtype=np.float64)
 
     count = 0
     number_volumes = len(fMRIdata)



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