Fix np array initialization #4

Also don't branch on list types in get_value.

Author: ivahnenkoAnna

objectbox/model/entity.py

@@ -85,12 +85,9 @@ def fill_properties(self):
     def get_value(self, object, prop: Property):
         # in case value is not overwritten on the object, it's the Property object itself (= as defined in the Class)
         val = getattr(object, prop._name)
-        if prop._py_type == list:
+        if prop._py_type == np.ndarray:
             if (val == np.array(prop)).all():
-                return prop._py_type()
-        elif prop._py_type == np.ndarray:
-            if (val == np.array(prop)).all():
-                return np.array([0])
+                return np.array([])
         elif val == prop:
                 return prop._py_type()  # default (empty) value for the given type
         return val

tests/common.py

@@ -55,10 +55,10 @@ def assert_equal(actual: TestEntity, expected: TestEntity):
     assert_equal_prop(actual.float64, expected.float64, 0)
     assert_equal_prop(actual.float32, expected.float32, 0)
     assert_equal_prop(actual.bytes, expected.bytes, b'')
-    assert_equal_prop_vector(actual.ints, expected.ints, np.array([0]))
-    assert_equal_prop_vector(actual.longs, expected.longs, np.array([0]))
-    assert_equal_prop_vector(actual.floats, expected.floats, np.array([0]))
-    assert_equal_prop_vector(actual.doubles, expected.doubles, np.array([0]))
+    assert_equal_prop_vector(actual.ints, expected.ints, np.array([]))
+    assert_equal_prop_vector(actual.longs, expected.longs, np.array([]))
+    assert_equal_prop_vector(actual.floats, expected.floats, np.array([]))
+    assert_equal_prop_vector(actual.doubles, expected.doubles, np.array([]))
     assert_equal_prop_list(actual.ints_list, expected.ints_list, [])
     assert_equal_prop_list(actual.longs_list, expected.longs_list, [])
     assert_equal_prop_list(actual.floats_list, expected.floats_list, [])