[FIX] orm: Adapt test and read_group_fill_temporal

In the commit 4a40db2. the implementation of read_group_fill_temporal was
simplified during final review and tests needed to be adapted.

Also fix the implementation issues as detected by the tests.

odoo/addons/base/tests/test_misc.py

@@ -162,14 +162,6 @@ class TestDateRangeFunction(unittest.TestCase):
 
         self.assertEqual(dates, expected)
 
-    def test_date_range_with_identical_boundaries(self):
-        """ date_range with indentical boundaries. """
-        start = datetime.datetime(1985, 1, 1)
-        end = datetime.datetime(1985, 1, 1)
-
-        with self.assertRaises(ValueError):
-            dates = [date for date in date_utils.date_range(start, end)]
-
 
 class TestFormatLangDate(TransactionCase):
     def test_00_accepted_types(self):

odoo/models.py

@@ -1811,7 +1811,7 @@ class BaseModel(MetaModel('DummyModel', (object,), {'_register': False})):
         # assumption: existing data is sorted by field 'groupby_name'
         first, last = existing[0], existing[-1]
 
-        expected = list(date_utils.date_range(first, last, interval))
+        expected = collections.deque(date_utils.date_range(first, last, interval))
 
         if len(existing) < len(expected):
             empty_data = dict.fromkeys(aggregated_fields, False)
@@ -1827,8 +1827,12 @@ class BaseModel(MetaModel('DummyModel', (object,), {'_register': False})):
             # is sorted like data, so what we do is empty data progressivly by
             # popping its elements from first to last. To do this properly, we
             # need to compare dates together.
-            for dt in expected:
-                if not data[0][groupby_name] or data[0][groupby_name] == dt:
+            while expected or data:
+                if not data[0][groupby_name]:
+                    new_data.append(data.popleft())
+                    continue
+                dt = expected.popleft()
+                if data[0][groupby_name] == dt:
                     new_data.append(data.popleft())
                 else:
                     new_data.append(dict(empty_data, **{groupby_name: dt}))