diff options
Diffstat (limited to 'lib')
| -rwxr-xr-x | lib/automata.py | 9 |
1 files changed, 7 insertions, 2 deletions
diff --git a/lib/automata.py b/lib/automata.py index 02dbfb6..552b482 100755 --- a/lib/automata.py +++ b/lib/automata.py @@ -965,7 +965,7 @@ class PTA: else: return generator - def simulate(self, trace: list, orig_state: str = 'UNINITIALIZED', accounting=None): + def simulate(self, trace: list, orig_state: str = 'UNINITIALIZED', orig_param=None, accounting=None): u""" Simulate a single run through the PTA and return total energy, duration, final state, and resulting parameters. @@ -973,6 +973,8 @@ class PTA: or list of (Transition, argument tuple, parameter) tuples originating from dfs. The tuple (None, duration) represents a sleep time between states in us :param orig_state: origin state, default UNINITIALIZED + :param orig_param: initial parameters, default: `self.initial_param_values` + :param accounting: EnergyAccounting object, default empty :returns: SimulationResult with duration in s, total energy in J, end state, and final parameters """ @@ -984,7 +986,10 @@ class PTA: state = orig_state else: state = self.state[orig_state] - param_dict = dict([[self.parameters[i], self.initial_param_values[i]] for i in range(len(self.parameters))]) + if orig_param: + param_dict = orig_param.copy() + else: + param_dict = dict([[self.parameters[i], self.initial_param_values[i]] for i in range(len(self.parameters))]) for function in trace: if isinstance(function[0], Transition): function_name = function[0].name |