made it so that the new metric only runs with open loop boxes

nuplan/planning/script/config/common/simulation_metric/common_metrics.yaml

@@ -3,5 +3,4 @@ defaults:
       - ego_mean_speed_statistics
       - ego_expert_l2_error_statistics
       - ego_expert_l2_error_with_yaw_statistics
-      - is_relavant_agent_occluded_statistics
-      - can_scenario_be_made_dangerous_statistics
+      - is_relavant_agent_occluded_statistics
\ No newline at end of file

nuplan/planning/script/config/common/simulation_metric/simulation_open_loop_boxes.yaml

@@ -2,6 +2,8 @@ defaults:
   - common_metrics  # Uncomment this for common information about the scenario as specified in the config
   - low_level:  # Low level metrics
       - planner_expert_average_l2_error_within_bound_statistics
+      - can_scenario_be_made_dangerous_statistics
+
   - high_level:  # High level metrics that depend on low level metrics, they can also rely on the previously called high level metrics
       - planner_expert_final_l2_error_within_bound_statistics
       - planner_miss_rate_within_bound_statistics

nuplan/planning/script/config/simulation/metric_aggregator/closed_loop_multiagent_weighted_average.yaml

@@ -5,7 +5,6 @@ closed_loop_reactive_agents_weighted_average:
   # if not specified, the weight is set as default.
     # metric name : metric weight in the weighted average function
     is_relavant_agent_occluded: 0.0 # this metric is only for our occlusion stuff so it should not affect the other weights
-    can_scenario_be_made_dangerous: 0.0 # this metric is only for our occlusion stuff so it should not affect the other weights
     ego_progress_along_expert_route: 5.0 # This metric has the highest weight equal to 5.0 in the weighted average function, its base score can take a value in [0,1] depending on the ratio of ego to expert progress
     time_to_collision_within_bound: 5.0 # This metric has the highest weight equal to 5.0 in the weighted average function, its base score can be 0 or 1 depending on the minimum time to collision threshold
     speed_limit_compliance: 4.0 # This metric has a weight equal to 4.0 in the weighted average function, its base score can take a value in [0,1] depending on the amount and duration of over-speeding

nuplan/planning/script/config/simulation/metric_aggregator/closed_loop_nonreactive_agents_weighted_average.yaml

@@ -5,7 +5,6 @@ closed_loop_nonreactive_agents_weighted_average:
   # if not specified, the weight is set as default.
     # metric name : metric weight in the weighted average function
     is_relavant_agent_occluded: 0.0 # this metric is only for our occlusion stuff so it should not affect the other weights
-    can_scenario_be_made_dangerous: 0.0 # this metric is only for our occlusion stuff so it should not affect the other weights
     ego_progress_along_expert_route: 5.0 # This metric has the highest weight equal to 5.0 in the weighted average function, its base score can take a value in [0,1] depending on the ratio of ego to expert progress
     time_to_collision_within_bound: 5.0 # This metric has the highest weight equal to 5.0 in the weighted average function, its base score can be 0 or 1 depending on the minimum time to collision threshold
     speed_limit_compliance: 4.0 # This metric has a weight equal to 4.0 in the weighted average function, its base score can take a value in [0,1] depending on the amount and duration of over-speeding

nuplan/planning/script/config/simulation/metric_aggregator/closed_loop_reactive_agents_weighted_average.yaml

@@ -5,7 +5,6 @@ closed_loop_reactive_agents_weighted_average:
   # if not specified, the weight is set as default.
     # metric name : metric weight in the weighted average function
     is_relavant_agent_occluded: 0.0 # this metric is only for our occlusion stuff so it should not affect the other weights
-    can_scenario_be_made_dangerous: 0.0 # this metric is only for our occlusion stuff so it should not affect the other weights
     ego_progress_along_expert_route: 5.0 # This metric has the highest weight equal to 5.0 in the weighted average function, its base score can take a value in [0,1] depending on the ratio of ego to expert progress
     time_to_collision_within_bound: 5.0 # This metric has the highest weight equal to 5.0 in the weighted average function, its base score can be 0 or 1 depending on the minimum time to collision threshold
     speed_limit_compliance: 4.0 # This metric has a weight equal to 4.0 in the weighted average function, its base score can take a value in [0,1] depending on the amount and duration of over-speeding