--- a/_test_dataset.py	Fri May 23 13:44:25 2008 -0400
+++ b/_test_dataset.py	Fri May 23 14:07:53 2008 -0400
@@ -112,6 +112,7 @@
         if runall :
             self.test1_basicstats(ds)
             self.test2_slicing(ds)
+            self.test3_fields_iterator_consistency(ds)
 
     def test1_basicstats(self,ds) :
         """print basics stats on a dataset, like length"""
@@ -139,10 +140,42 @@
                         assert set1[middle-tenpercent+k](k2)[0][k3] == set2[k](k2)[0][k3]
                 else :
                     assert set1[middle-tenpercent+k](k2)[0] == set2[k](k2)[0]
+        assert tenpercent > 1
+        set3 = ds[middle-tenpercent:middle+tenpercent:2]
+        for k2 in ds.fieldNames() :
+            if type(set2[2](k2)[0]) == N.ndarray :
+                for k3 in range(len(set2[2](k2)[0])) :
+                    assert set2[2](k2)[0][k3] == set3[1](k2)[0][k3]
+            else :
+                assert set2[2](k2)[0] == set3[1](k2)[0]
 
         print 'done'
 
 
+    def test3_fields_iterator_consistency(self,ds) :
+        """ check if the number of iterator corresponds to the number of fields"""
+        print 'testing fields/iterator consistency...',
+        sys.stdout.flush()
+
+        # basic test
+        maxsize = min(len(ds)-1,100)
+        for iter in ds[:maxsize] :
+            assert len(iter) == len(ds.fieldNames())
+        if len(ds.fieldNames()) == 1 :
+            print 'done'
+            return
+
+        # with minibatches iterator
+        ds2 = ds.minibatches[:maxsize]([ds.fieldNames()[0],ds.fieldNames()[1]],minibatch_size=2)
+        for iter in ds2 :
+            assert len(iter) == 2
+
+        print 'done'
+
+
+
+
+
 ###################################################################
 # main
 if __name__ == '__main__':