missed Pose3 data class defs

Author: dehann

setup.py

@@ -11,7 +11,7 @@
 """
     )
 
-_version = "0.5.0"
+_version = "0.5.1"
 
 setup(
     name="navabilitysdk",

src/navability/entities/factor/inferencetypes.py

@@ -96,6 +96,23 @@ def dumps(self):
     # TODO: Deserializing this.
 
 
+@dataclass
+class PriorPose3(InferenceType):
+    Z: Distribution
+
+    def __repr__(self):
+        return f"<{self.__class__.__name__}(Z={str(self.Z)})>"
+
+    def dump(self):
+        return ZSchema().dump(self)
+
+    def dumps(self):
+        return ZSchema().dumps(self)
+
+    # TODO: Deserializing this.
+
+
+
 """
 Create a prior factor for a Point2 with a distribution Z representing (x,y) prior
 information, e.g. `FullNormal([0.0, 0.0.0], diag([0.01, 0.01]))`.
@@ -141,6 +158,22 @@ def dumps(self):
     # TODO: Deserializing this.
 
 
+@dataclass
+class Pose3Pose3(InferenceType):
+    Z: Distribution
+
+    def __repr__(self):
+        return f"<{self.__class__.__name__}(Z={str(self.Z)})>"
+
+    def dump(self):
+        return ZSchema().dump(self)
+
+    def dumps(self):
+        return ZSchema().dumps(self)
+
+    # TODO: Deserializing this.
+
+
 """
 Create a Point2->Point2 range factor with a 1D distribution:
 - range: The range from the pose to the point.