diff options
author | Birte Kristina Friesel <birte.friesel@uos.de> | 2024-02-02 16:38:00 +0100 |
---|---|---|
committer | Birte Kristina Friesel <birte.friesel@uos.de> | 2024-02-02 16:38:00 +0100 |
commit | 9535cca7a916d0ffd180e569079ceaf2e8a8f47a (patch) | |
tree | 30245dcaf1e31c9b4569d34066518ee3b4b470cf /bin/analyze-kconfig.py | |
parent | 579a1fd9c3d2809cc1d5a017e7f1e681e014758b (diff) |
analyze-log, analyze-kconfig: preliminary --load-json support
Diffstat (limited to 'bin/analyze-kconfig.py')
-rwxr-xr-x | bin/analyze-kconfig.py | 38 |
1 files changed, 18 insertions, 20 deletions
diff --git a/bin/analyze-kconfig.py b/bin/analyze-kconfig.py index f65751e..c369c05 100755 --- a/bin/analyze-kconfig.py +++ b/bin/analyze-kconfig.py @@ -325,14 +325,18 @@ def main(): max_std = None ts = time.time() - model = AnalyticModel( - by_name, - parameter_names, - force_tree=args.force_tree, - max_std=max_std, - compute_stats=not args.skip_param_stats, - function_override=function_override, - ) + if args.load_json: + with open(args.load_json, "r") as f: + model = AnalyticModel.from_json(json.load(f), by_name, parameter_names) + else: + model = AnalyticModel( + by_name, + parameter_names, + force_tree=args.force_tree, + max_std=max_std, + compute_stats=not args.skip_param_stats, + function_override=function_override, + ) timing["AnalyticModel"] = time.time() - ts if not model.names: @@ -444,22 +448,16 @@ def main(): static_quality = model.assess(static_model) timing["assess static"] = time.time() - ts - try: - ts = time.time() - lut_model = model.get_param_lut() - timing["get lut"] = time.time() - ts + ts = time.time() + lut_model = model.get_param_lut() + timing["get lut"] = time.time() - ts + if lut_model is None: + lut_quality = None + else: ts = time.time() lut_quality = model.assess(lut_model) timing["assess lut"] = time.time() - ts - except RuntimeError as e: - if args.force_tree: - # this is to be expected - logging.debug(f"Skipping LUT model: {e}") - else: - logging.warning(f"Skipping LUT model: {e}") - lut_model = None - lut_quality = None if args.export_csv: for name in model.names: |