analyze-kconfig: perform param-shift in aggregate rather than in observations

this re-uses a function that is already present for analyze-archive anyways

1 files changed, 1 insertions, 17 deletions

diff --git a/lib/utils.py b/lib/utils.py
index 9e5d383..5b40f51 100644
--- a/lib/utils.py
+++ b/lib/utils.py
@@ -447,22 +447,6 @@ def by_param_to_by_name(by_param: dict) -> dict:
     return by_name
 
 
-def shift_param_in_observations(observations, parameter_shift):
-    for param_name, param_shift_function in parameter_shift:
-        if param_name == "*":
-            for observation in observations:
-                for param_name in observation["param"].keys():
-                    observation["param"][param_name] = param_shift_function(
-                        observation["param"][param_name]
-                    )
-        else:
-            for observation in observations:
-                if observation["param"][param_name] is not None:
-                    observation["param"][param_name] = param_shift_function(
-                        observation["param"][param_name]
-                    )
-
-
 def shift_param_in_aggregate(aggregate, parameters, parameter_shift):
     """
     Remove entries which do not have certain parameter values from `aggregate`.
@@ -472,7 +456,7 @@ def shift_param_in_aggregate(aggregate, parameters, parameter_shift):
         and
         aggregate[state or transition name]['attributes'] = [list of keys with measurement data, e.g. 'power' or 'duration']
     :param parameters: list of parameters, used to map parameter index to parameter name. parameters=['foo', ...] means 'foo' is the first parameter
-    :param parameter_filter: [[name, value], [name, value], ...] list of parameter values to keep, all others are removed. Values refer to normalizad parameter data.
+    :param parameter_shift: [[name, function], [name, function], ...] list of parameter values to alter.
     """
     for param_name, param_shift_function in parameter_shift:
         if param_name == "*":