diff options
Diffstat (limited to 'lib/dfatool.py')
| -rwxr-xr-x | lib/dfatool.py | 15 |
1 files changed, 14 insertions, 1 deletions
diff --git a/lib/dfatool.py b/lib/dfatool.py index 5af6cc8..d998dbb 100755 --- a/lib/dfatool.py +++ b/lib/dfatool.py @@ -888,6 +888,13 @@ def _try_fits(by_param, state_or_tran, model_attribute, param_index, safe_functi 'results' : results } +def _num_args_from_by_name(by_name): + num_args = dict() + for key, value in by_name.items(): + if 'args' in value: + num_args[key] = len(value['args'][0]) + return num_args + class AnalyticModel: u""" Parameter-aware analytic energy/data size/... model. @@ -941,8 +948,9 @@ class AnalyticModel: self.names = sorted(by_name.keys()) self.parameters = sorted(parameters) self.verbose = verbose + self._num_args = _num_args_from_by_name(by_name) - self.stats = ParamStats(self.by_name, self.by_param, self.parameters, {}, verbose = verbose) + self.stats = ParamStats(self.by_name, self.by_param, self.parameters, self._num_args, verbose = verbose) def _fit(self): paramfit = ParallelParamFit(self.by_param) @@ -1124,6 +1132,10 @@ class AnalyticModel: 'by_name' : detailed_results, } + def to_json(self): + # TODO + pass + def _add_trace_data_to_aggregate(aggregate, key, element): # Only cares about element['isa'], element['offline_aggregates'], and @@ -1157,6 +1169,7 @@ def pta_trace_to_aggregate(traces, ignore_trace_indexes = []): - name: str Name - isa: str state // transition - parameter: { ... globaler Parameter: aktueller wert. null falls noch nicht eingestellt } + - args: [ Funktionsargumente, falls isa == 'transition' ] - offline_aggregates: - power: [float(uW)] Mittlere Leistung während Zustand/Transitions - power_std: [float(uW^2)] Standardabweichung der Leistung |