Undo __future__ import for type annotations, which is incompatible with python 3.6

armarx_core/time/duration.py

@@ -13,7 +13,7 @@ MIN_LONG_CPP = -9223372036854775808
 
 @dataclasses.dataclass
 class Duration(AronDataclass):
-    microSeconds: np.int64 = MIN_LONG_CPP,   # std::numeric_limits<long>::min()
+    microSeconds: np.int64 = MIN_LONG_CPP   # std::numeric_limits<long>::min()
 
     @staticmethod
     def from_seconds(seconds: float) -> "Duration":

armarx_memory/aron/common/framed/__init__.py

-from __future__ import annotations
+# Using classes in the type annotations of their own methods can be re-introduced once this import is compatible
+# (>= python 3.7) or native support is ready
+# from __future__ import annotations
+#from __future__ import annotations
 
 import dataclasses as dc
 import numpy as np
@@ -46,7 +49,7 @@ class FramedPose(AronDataclass):
     pose: np.ndarray = dc.field(default_factory=lambda: np.eye(4, dtype=np.float32))
 
     @classmethod
-    def with_type_check(cls, header: FrameID, pose: np.ndarray) -> FramedPose:
+    def with_type_check(cls, header: FrameID, pose: np.ndarray) -> 'FramedPose':
         """
         Ensures that the data type of the pose array is correct; otherwise, there might be problems when reading
         the memory from C++