diff options
Diffstat (limited to 'lib')
| -rwxr-xr-x | lib/automata.py | 26 |
1 files changed, 26 insertions, 0 deletions
diff --git a/lib/automata.py b/lib/automata.py index 8f938bc..2f893e6 100755 --- a/lib/automata.py +++ b/lib/automata.py @@ -62,6 +62,21 @@ class SimulationResult: class PTAAttribute: + u""" + A single PTA attribute (e.g. power, duration). + + A PTA attribute can be described by a static value and an analytic + function (depending on parameters and function arguments). + + It is not specified how value_error and function_error are determined -- + at the moment, they do not use cross validation. + + :param value: static value, typically in µW/µs/pJ + :param value_error: mean absolute error of value (optional) + :param function: AnalyticFunction for parameter-aware prediction (optional) + :param function_error: mean absolute error of function (optional) + """ + def __init__(self, value: float = 0, function: AnalyticFunction = None, value_error=None, function_error=None): self.value = value self.function = function @@ -74,12 +89,23 @@ class PTAAttribute: return 'PTAATtribute<{:.0f}, None>'.format(self.value) def eval(self, param_dict=dict(), args=list()): + """ + Return attribute for given `param_dict` and `args` value. + + Uses `function` if set and usable for the given `param_dict` and + `value` otherwise. + """ param_list = _dict_to_list(param_dict) if self.function and self.function.is_predictable(param_list): return self.function.eval(param_list, args) return self.value def eval_mae(self, param_dict=dict(), args=list()): + """ + Return attribute mean absolute error for given `param_dict` and `args` value. + + Uses `function_error` if `function` is set and usable for the given `param_dict` and `value_error` otherwise. + """ param_list = _dict_to_list(param_dict) if self.function and self.function.is_predictable(param_list): return self.function_error['mae'] |