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-rwxr-xr-xbin/generate-dfa-benchmark.py11
-rwxr-xr-xlib/automata.py8
2 files changed, 14 insertions, 5 deletions
diff --git a/bin/generate-dfa-benchmark.py b/bin/generate-dfa-benchmark.py
index 87cb662..4789ad7 100755
--- a/bin/generate-dfa-benchmark.py
+++ b/bin/generate-dfa-benchmark.py
@@ -51,6 +51,12 @@ if __name__ == '__main__':
print(harness.start_benchmark())
+ class_prefix = ''
+ if 'instance' in opt:
+ class_prefix = '{}.'.format(opt['instance'])
+ elif pta.instance:
+ class_prefix = '{}.'.format(pta.instance)
+
for run in pta.dfs(opt['depth'], with_arguments = True):
print(harness.start_run())
for transition, arguments in run:
@@ -59,10 +65,7 @@ if __name__ == '__main__':
print('// wait for {} interrupt'.format(transition.name))
transition_code = '// TODO add startTransition / stopTransition calls to interrupt routine'
else:
- if 'instance' in opt:
- transition_code = '{}.{}({});'.format(opt['instance'], transition.name, ', '.join(map(str, arguments)))
- else:
- transition_code = '{}({});'.format(transition.name, ', '.join(arguments))
+ transition_code = '{}{}({});'.format(class_prefix, transition.name, ', '.join(map(str, arguments)))
print(harness.pass_transition(pta.get_transition_id(transition), transition_code))
if 'sleep' in opt:
diff --git a/lib/automata.py b/lib/automata.py
index 96a724e..2d5c27c 100755
--- a/lib/automata.py
+++ b/lib/automata.py
@@ -258,7 +258,8 @@ class PTA:
def __init__(self, state_names: list = [],
accepting_states: list = None,
- parameters: list = [], initial_param_values: list = None):
+ parameters: list = [], initial_param_values: list = None,
+ instance: str = None):
"""
Return a new PTA object.
@@ -268,10 +269,12 @@ class PTA:
accepting_states -- names of accepting states. By default, all states are accepting
parameters -- names of PTA parameters
initial_param_values -- initial value for each parameter
+ instance -- class used for generated C++ code
"""
self.state = dict([[state_name, State(state_name)] for state_name in state_names])
self.accepting_states = accepting_states.copy() if accepting_states else None
self.parameters = parameters.copy()
+ self.instance = instance
if initial_param_values:
self.initial_param_values = initial_param_values.copy()
else:
@@ -380,6 +383,9 @@ class PTA:
if 'states' in yaml_input:
kwargs['state_names'] = yaml_input['states']
+ if 'instance' in yaml_input:
+ kwargs['instance'] = yaml_input['instance']
+
pta = cls(**kwargs)
for trans_name in sorted(yaml_input['transition'].keys()):