From d6a496e6fb879d8eb701fc5f90d76915e44bbbf9 Mon Sep 17 00:00:00 2001
From: Daniel Friesel <daniel.friesel@uos.de>
Date: Wed, 22 Jun 2022 09:28:31 +0200
Subject: analyze-kconfig: allow individual parameters to be ignored

---
 bin/analyze-kconfig.py | 12 ++++++++++++
 lib/utils.py           |  6 ++++++
 2 files changed, 18 insertions(+)

diff --git a/bin/analyze-kconfig.py b/bin/analyze-kconfig.py
index 4b84921..a51451a 100755
--- a/bin/analyze-kconfig.py
+++ b/bin/analyze-kconfig.py
@@ -107,6 +107,12 @@ def main():
         "all: all of the above.\n"
         "tex: print tex/pgfplots-compatible model quality data on stdout.",
     )
+    parser.add_argument(
+        "--ignore-param",
+        metavar="<parameter name>[,<parameter name>,...]",
+        type=str,
+        help="Ignore listed parameters during model generation",
+    )
     parser.add_argument("kconfig_path", type=str, help="Path to Kconfig file")
     parser.add_argument(
         "model",
@@ -126,6 +132,9 @@ def main():
     if args.export_dref:
         dref = dict()
 
+    if args.ignore_param:
+        args.ignore_param = args.ignore_param.split(",")
+
     if os.path.isdir(args.model):
         attributes = KConfigAttributes(args.kconfig_path, args.model)
         if args.export_dref:
@@ -197,6 +206,9 @@ def main():
     if args.boolean_parameters:
         dfatool.utils.observations_enum_to_bool(observations, kconfig=True)
 
+    if args.ignore_param:
+        dfatool.utils.observations_ignore_param(observations, args.ignore_param)
+
     if args.param_shift:
         param_shift = dfatool.cli.parse_param_shift(args.param_shift)
         dfatool.utils.shift_param_in_observations(observations, param_shift)
diff --git a/lib/utils.py b/lib/utils.py
index 12bd7c2..f8ce6ad 100644
--- a/lib/utils.py
+++ b/lib/utils.py
@@ -302,6 +302,12 @@ def observations_enum_to_bool(observations: list, kconfig=False):
                 binary_keys.add(binary_key)
 
 
+def observations_ignore_param(observations: list, ignored_parameters: list) -> list:
+    for observation in observations:
+        for ignored_parameter in ignored_parameters:
+            observation["param"].pop(ignored_parameter)
+
+
 def observations_to_by_name(observations: list):
     """
     Convert observation list to by_name dictionary for AnalyticModel analysis
-- 
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