Unexpected exception:
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/zuper_nodes/compatibility.py", line 25, in check_compatible_protocol
raise IncompatibleProtocol(msg)
zuper_nodes.compatibility.IncompatibleProtocol: For input "observations", cannot use type <class 'aido_schemas.schemas.Duckiebot1Observations'> as <class 'float'>: CanBeUsed(result=False, why="Type <class 'aido_schemas.schemas.Duckiebot1Observations'> (94469148491616) \n is not a subclass of <class 'float'> (139869791113344) \n is : False", M=Matches(m={}), matches={}, reasons={})
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/duckietown_challenges/cie_concrete.py", line 675, in scoring_context
yield cie
File "experiment_manager.py", line 77, in <module>
main(cie)
File "experiment_manager.py", line 26, in main
agent_ci._get_node_protocol()
File "/usr/local/lib/python3.7/site-packages/zuper_nodes_wrapper/wrapper_outside.py", line 88, in _get_node_protocol
check_compatible_protocol(self.node_protocol, self.expect_protocol)
File "/usr/local/lib/python3.7/site-packages/zuper_nodes/compatibility.py", line 43, in check_compatible_protocol
raise IncompatibleProtocol(msg) from e
zuper_nodes.compatibility.IncompatibleProtocol: Cannot say that p1 is a sub-protocol of p2
p1: |InteractionProtocol(description='Particularization for Duckiebot1 observations and commands.', inputs={'observations': <class 'aido_schemas.schemas.Duckiebot1Observations'>, 'seed': <class 'int'>, 'get_commands': <class 'NoneType'>, 'episode_start': <class 'aido_schemas.protocol_agent.EpisodeStart'>}, outputs={'commands': <class 'aido_schemas.schemas.Duckiebot1Commands'>}, language='(in:seed)? ; ((in:episode_start ; ((in:observations | (in:get_commands ; out:commands))*))*)')
p2: |InteractionProtocol(description='An estimator receives a stream of values and must predict the next value.', inputs={'observations': <class 'float'>, 'seed': <class 'int'>, 'get_prediction': <class 'NoneType'>}, outputs={'prediction': <class 'float'>}, language='(in:seed)? ; ((in:observations | (in:get_prediction ; out:prediction))*)')
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