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authorBirte Kristina Friesel <birte.friesel@uos.de>2025-05-23 14:09:21 +0200
committerBirte Kristina Friesel <birte.friesel@uos.de>2025-05-23 14:09:21 +0200
commit9541f51838170b8d6ea7e1afc88ee7714aee5620 (patch)
treec5dc10669de2859ccedcb4f8f17930da2c088fa9 /bin/analyze-trace.py
parentef01c171e9014a61cf38a05728bf976609847d8a (diff)
analyze-trace: detect loops and iteration counts (those are deterministic)
Diffstat (limited to 'bin/analyze-trace.py')
-rwxr-xr-xbin/analyze-trace.py57
1 files changed, 46 insertions, 11 deletions
diff --git a/bin/analyze-trace.py b/bin/analyze-trace.py
index 1399854..3fe7e28 100755
--- a/bin/analyze-trace.py
+++ b/bin/analyze-trace.py
@@ -176,7 +176,30 @@ def learn_pta(observations, annotation, delta=dict(), delta_param=dict()):
delta_param[(prev, "__end__")].add(
dfatool.utils.param_dict_to_str(annotation.start.param)
)
- return delta, delta_param, meta_observations
+
+ for transition, count in n_seen.items():
+ meta_observations.append(
+ {
+ "name": f"__loop__ {transition}",
+ "param": annotation.start.param,
+ "attribute": {"n_iterations": count},
+ }
+ )
+
+ if total_latency_us:
+ meta_observations.append(
+ {
+ "name": annotation.start.name,
+ "param": annotation.start.param,
+ "attribute": {"latency_us": total_latency_us},
+ }
+ )
+
+ is_loop = dict(
+ map(lambda kv: (kv[0], True), filter(lambda kv: kv[1] > 1, n_seen.items()))
+ )
+
+ return delta, delta_param, meta_observations, is_loop
def join_annotations(ref, base, new):
@@ -217,18 +240,20 @@ def main():
delta_by_name = dict()
delta_param_by_name = dict()
+ is_loop = dict()
for annotation in annotations:
am_tt_param_names = sorted(annotation.start.param.keys())
if annotation.name not in delta_by_name:
delta_by_name[annotation.name] = dict()
delta_param_by_name[annotation.name] = dict()
- _, _, meta_obs = learn_pta(
+ _, _, meta_obs, _is_loop = learn_pta(
observations,
annotation,
delta_by_name[annotation.name],
delta_param_by_name[annotation.name],
)
observations += meta_obs
+ is_loop.update(_is_loop)
def format_guard(guard):
return "∧".join(map(lambda kv: f"{kv[0]}={kv[1]}", guard))
@@ -280,9 +305,14 @@ def main():
delta_param_sets.append(delta_params)
to_names.append(t_to)
n_confs = len(delta_params)
- print(
- f"{name} {t_from} → {t_to} ({' ∨ '.join(map(format_guard, transition_guard.get(t_to, list()))) or '⊤'})"
- )
+ if is_loop.get(t_from, False) and is_loop.get(t_to, False):
+ print(f"{name} {t_from} → {t_to} ⟳")
+ elif is_loop.get(t_from, False):
+ print(f"{name} {t_from} → {t_to} →")
+ else:
+ print(
+ f"{name} {t_from} → {t_to} ({' ∨ '.join(map(format_guard, transition_guard.get(t_to, list()))) or '⊤'})"
+ )
for i in range(len(delta_param_sets)):
for j in range(i + 1, len(delta_param_sets)):
@@ -290,12 +320,17 @@ def main():
intersection = delta_param_sets[i].intersection(
delta_param_sets[j]
)
- logging.error(
- f"Outbound transitions of <{t_from}> are not deterministic: <{to_names[i]}> and <{to_names[j]}> are both taken for {intersection}"
- )
- raise RuntimeError(
- f"Outbound transitions of <{t_from}> are not deterministic"
- )
+ if is_loop.get(t_from, False):
+ logging.debug(
+ f"Loop transition <{t_from}>: <{to_names[i]}> and <{to_names[j]}> are both taken for {intersection}"
+ )
+ else:
+ logging.error(
+ f"Outbound transitions of <{t_from}> are not deterministic: <{to_names[i]}> and <{to_names[j]}> are both taken for {intersection}"
+ )
+ raise RuntimeError(
+ f"Outbound transitions of <{t_from}> are not deterministic"
+ )
print("")