blob now accepts native complex scalars

Author: dimitri-yatsenko

datajoint/blob.py

@@ -152,10 +152,8 @@ def pack_blob(self, obj):
             return self.pack_array(np.array(obj))
         if isinstance(obj, (bool, np.bool, np.bool_)):
             return self.pack_array(np.array(obj))
-        if isinstance(obj, float):
-            return self.pack_array(np.array(obj, dtype=np.float64))
-        if isinstance(obj, int):
-            return self.pack_array(np.array(obj, dtype=np.int64))
+        if isinstance(obj, (float, int, complex)):
+            return self.pack_array(np.array(obj))
         if isinstance(obj, (datetime.datetime, datetime.date, datetime.time)):
             return self.pack_datetime(obj)
         if isinstance(obj, Decimal):
@@ -253,9 +251,6 @@ def pack_recarray(self, array):
     def read_sparse_array(self):
         raise DataJointError('datajoint-python does not yet support sparse arrays. Issue (#590)')
 
-    def read_scalar(selfs):
-        
-
     def read_decimal(self):
         return Decimal(self.read_string())
 

tests/test_blob.py

@@ -23,6 +23,9 @@ def test_pack():
     x = np.random.randn(10)
     assert_array_equal(x, unpack(pack(x)), "Arrays do not match!")
 
+    x = 7j
+    assert_equal(x, unpack(pack(x)), "Complex scalar does not match")
+
     x = np.float32(np.random.randn(3, 4, 5))
     assert_array_equal(x, unpack(pack(x)), "Arrays do not match!")