Implement array slicing in its most simple list alike form + test of it.

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

@@ -57,7 +57,7 @@ class DataArray(BigFile):
     """
     array = ZBigArray(shape, dtype)
     self._setArray(array)
-    
+
   def getArray(self, default=None):
     """
     Get numpy array value.
@@ -73,4 +73,12 @@ class DataArray(BigFile):
     # 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()
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+    transaction.commit()
+  
+  def getArraySlice(self, start, end):
+    """
+      Implement array slicing in its most simple list alike form.
+      Any other advanced slicing techniques currently possible by getting
+      array reference directly.
+    """
+    return self.getArray()[start:end] 
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bt5/erp5_wendelin/TestTemplateItem/portal_components/test.erp5.testWendelin.py

@@ -258,4 +258,25 @@ context.activate().DataStream_readChunkListAndTransform( \
 
     # resize Zbig Array
     persistent_zbig_array = np.resize(persistent_zbig_array, (100,100))
-    self.assertNotEquals(pure_numpy_array.shape, persistent_zbig_array.shape)
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+    self.assertNotEquals(pure_numpy_array.shape, persistent_zbig_array.shape)
+    
+    # get array slice (fails)
+    data_array = self.portal.data_array_module.newContent( \
+                   portal_type = 'Data Array')
+    shape = (1000,)
+    data_array.initArray(shape, np.uint8)
+    self.tic()
+    
+    persistent_zbig_array = data_array.getArray()
+    new_array = np.arange(1000)
+    new_array.resize(shape)
+
+    self.assertEquals(new_array.shape, persistent_zbig_array.shape)
+        
+    persistent_zbig_array[:,] = new_array
+    self.tic()
+
+    self.assertTrue(
+           np.array_equal(data_array.getArraySlice(0,100), \
+                          new_array[:100]))
+    
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