More testing and API extension.

bt5/erp5_wendelin/DocumentTemplateItem/portal_components/document.erp5.DataArray.py

@@ -29,6 +29,8 @@
 from AccessControl import ClassSecurityInfo
 from Products.ERP5Type import Permissions, PropertySheet
 from Products.ERP5.Document.BigFile import BigFile
+from wendelin.bigarray.array_zodb import ZBigArray
+import transaction
 
 class DataArray(BigFile):
   """
@@ -46,10 +48,23 @@ class DataArray(BigFile):
   # Declarative properties
   property_sheets = ( PropertySheet.CategoryCore
                     , PropertySheet.SortIndex
+                    , PropertySheet.DataArray
                     )
 
+  def initArray(self, shape, dtype):
+    """
+    Initialise array.
+    """
+    array = ZBigArray(shape, dtype)
+    self._setArray(array)
+
   def _setArray(self, value):
     """
       Set numpy array to this ERP5 Data Array.
     """
-    self.array = value
+    self.array = value
\ No newline at end of file
+    
+    # ZBigArray requirement: before we can compute it (with subobject
+    # .zfile) have to be made explicitly known to connection or current
+    # transaction committed (XXX: impossible to use as raises ConflictErrors)
+    transaction.commit()
\ No newline at end of file

bt5/erp5_wendelin/TestTemplateItem/portal_components/test.erp5.testWendelin.py

@@ -28,7 +28,7 @@
 from Products.ERP5Type.tests.ERP5TypeTestCase import ERP5TypeTestCase
 import msgpack
 import numpy as np
-import transaction
+#import transaction
 
 class Test(ERP5TypeTestCase):
   """
@@ -99,25 +99,31 @@ class Test(ERP5TypeTestCase):
     
     data_array = self.portal.data_array_module.newContent( \
                    portal_type = 'Data Array')
-    array = ZBigArray((60,60), np.uint8)
-    
-    # ZBigArray requirement: before we can compute it (with subobject
-    # .zfile) have to be made explicitly known to connection or current
-    # transaction committed
-    transaction.commit()
-  
-    data_array.setArray(array)
+    data_array.initArray((3, 3), np.uint8)
     self.tic()
     
-    # test array stored and we teturn ZBig Array instance
+    # test array stored and we return ZBig Array instance
     persistent_zbig_array = data_array.getArray()
     self.assertEqual(ZBigArray, persistent_zbig_array.__class__)
-    self.assertEquals(array, persistent_zbig_array)
     
-    # try to resize it
-    #pure_numpy_array = persistent_zbig_array[:,:] # ZBigArray -> ndarray view of it
-    #pure_numpy_array = np.resize(pure_numpy_array, (100,100))
-    #self.assertNotEquals(pure_numpy_array.shape, persistent_zbig_array.shape)
+    # try to resize its numpy "view" and check that persistent one is not saved
+    # as these are differerent objects
+    pure_numpy_array = persistent_zbig_array[:,:] # ZBigArray -> ndarray view of it
+    pure_numpy_array = np.resize(pure_numpy_array, (4, 4))
+    self.assertNotEquals(pure_numpy_array.shape, persistent_zbig_array.shape)
+    
+    # test copy numpy -> wendelin but first resize persistent one (add new one)
+    data_array.initArray((4, 4), np.uint8)
+    persistent_zbig_array = data_array.getArray()
+    rows = [0,1]
+    cols = [2,2]
+    new_array = np.arange(1,17).reshape((4,4))
+    persistent_zbig_array[:,:] = new_array
+    self.assertEquals(new_array.shape, persistent_zbig_array.shape)
+    
+    # (enable when new wendelin.core released as it can kill system)
+    #self.assertTrue(np.array_equal(a, persistent_zbig_array))
     
-    # resize Zbig Array
-    #persistent_zbig_array.resize(100,100)
+    # resize Zbig Array (enable when new wendelin.core released as it can kill system)
+    #persistent_zbig_array = np.resize(persistent_zbig_array, (100,100))
\ No newline at end of file
+    #self.assertNotEquals(pure_numpy_array.shape, persistent_zbig_array.shape)
\ No newline at end of file

bt5/erp5_wendelin/TestTemplateItem/portal_components/test.erp5.testWendelin.xml

@@ -48,6 +48,8 @@
               <tuple>
                 <string>W: 53,  4: Unused variable \'scipy\' (unused-variable)</string>
                 <string>W: 54,  4: Unused variable \'sklearn\' (unused-variable)</string>
+                <string>W:118,  4: Unused variable \'rows\' (unused-variable)</string>
+                <string>W:119,  4: Unused variable \'cols\' (unused-variable)</string>
               </tuple>
             </value>
         </item>