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-rw-r--r--lib/model.py16
1 files changed, 15 insertions, 1 deletions
diff --git a/lib/model.py b/lib/model.py
index 44272c8..e80d5a4 100644
--- a/lib/model.py
+++ b/lib/model.py
@@ -856,7 +856,21 @@ class PTAModel(AnalyticModel):
return cumulative_energy / total_duration
- return model_getter, param_info_getter
+ def info_getter(name, key, **kwargs):
+ if key != "power":
+ return None
+
+ try:
+ substate_count = round(param_model_getter(name, "substate_count"))
+ except KeyError:
+ return None
+ if substate_count == 1:
+ return None
+
+ # TODO
+ return True
+
+ return model_getter, info_getter
# This heuristic is very similar to the "function is not much better than
# median" checks in get_fitted. So far, doing it here as well is mostly