2 files changed, 55 insertions, 0 deletions
diff --git a/Wrappers/Python/test/__init__.py b/Wrappers/Python/test/__init__.py
new file mode 100644
index 0000000..e69de29
--- /dev/null
+++ b/Wrappers/Python/test/__init__.py
diff --git a/Wrappers/Python/test/test_Processors.py b/Wrappers/Python/test/test_Processors.py
new file mode 100755
index 0000000..0c43126
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+++ b/Wrappers/Python/test/test_Processors.py
@@ -0,0 +1,55 @@
+# -*- coding: utf-8 -*-
+"""
+Created on Tue Apr 30 14:39:20 2019
+
+@author: ofn77899
+"""
+
+import sys
+import unittest
+import numpy
+from ccpi.framework import DataProcessor
+from ccpi.framework import DataContainer
+from ccpi.framework import ImageData
+from ccpi.framework import AcquisitionData
+from ccpi.framework import ImageGeometry
+from ccpi.framework import AcquisitionGeometry
+from timeit import default_timer as timer
+from ccpi.io.reader import NexusReader
+from ccpi.processors import CenterOfRotationFinder
+from ccpi.plugins.processors import AcquisitionDataPadder
+import wget
+import os
+import math
+
+class TestDataProcessor(unittest.TestCase):
+    def setUp(self):
+        wget.download('https://github.com/DiamondLightSource/Savu/raw/master/test_data/data/24737_fd.nxs')
+        self.filename = '24737_fd.nxs'
+
+    def tearDown(self):
+        os.remove(self.filename)
+
+    def test_AcquisitionDataPadder(self):
+        reader = NexusReader(self.filename)
+        ad = reader.get_acquisition_data_whole()
+        print (ad.geometry)
+        cf = CenterOfRotationFinder()
+        cf.set_input(ad)
+        print ("Center of rotation", cf.get_output())
+        self.assertAlmostEqual(86.25, cf.get_output())
+        
+        adp = AcquisitionDataPadder(acquisition_geometry=cf.get_input().geometry,center_of_rotation=cf.get_output(),pad_value=0)
+        adp.set_input(ad)
+        padded_data = adp.get_output()
+        print ("Padded data shape", padded_data.shape)
+        print ("      " , padded_data.dimension_labels)
+        idx = None
+        for k,v in padded_data.dimension_labels.items():
+            if v == AcquisitionGeometry.HORIZONTAL:
+                idx = k
+
+        padded_axis = padded_data.shape[idx]
+        self.assertEqual(padded_axis , math.ceil(cf.get_output() * 2))
+        numpy.save("pippo.npy" , padded_data.as_array())
+