diff options
Diffstat (limited to 'lib/dfatool.py')
| -rw-r--r-- | lib/dfatool.py | 21 |
1 files changed, 18 insertions, 3 deletions
diff --git a/lib/dfatool.py b/lib/dfatool.py index 6b5b523..9583d73 100644 --- a/lib/dfatool.py +++ b/lib/dfatool.py @@ -560,10 +560,11 @@ class RawData: self.preprocessed = False self._parameter_names = None self.ignore_clipping = False + self.pta = None with tarfile.open(filenames[0]) as tf: for member in tf.getmembers(): - if member.name == 'ptalog.json': + if member.name == 'ptalog.json' and self.version == 0: self.version = 1 # might also be version 2 # depends on whether *.etlog exists or not @@ -585,6 +586,8 @@ class RawData: cache_data = json.load(f) self.traces = cache_data['traces'] self.preprocessing_stats = cache_data['preprocessing_stats'] + if 'pta' in cache_data: + self.pta = cache_data['pta'] self.preprocessed = True def save_cache(self): @@ -595,7 +598,8 @@ class RawData: with open(self.cache_file, 'w') as f: cache_data = { 'traces': self.traces, - 'preprocessing_stats': self.preprocessing_stats + 'preprocessing_stats': self.preprocessing_stats, + 'pta': self.pta, } json.dump(cache_data, f) @@ -909,6 +913,13 @@ class RawData: # offline_aggregates['rel_energy_next'].append(offline_trace_part['W_mean_delta_next'] * offline_trace_part['s'] * 1e12) def _concatenate_traces(self, list_of_traces): + """ + Concatenate `list_of_traces` (list of lists) into a single trace while adjusting trace IDs. + + :param list_of_traces: List of list of traces. + :returns: List of traces with ['id'] in ascending order and ['orig_id'] as previous ['id'] + """ + trace_output = list() for trace in list_of_traces: trace_output.extend(trace.copy()) @@ -1007,6 +1018,7 @@ class RawData: new_filenames = list() with tarfile.open(filename) as tf: ptalog = json.load(tf.extractfile(tf.getmember('ptalog.json'))) + self.pta = ptalog['pta'] # Benchmark code may be too large to be executed in a single # run, so benchmarks (a benchmark is basically a list of DFA runs) @@ -1056,6 +1068,7 @@ class RawData: new_filenames = list() with tarfile.open(filename) as tf: ptalog = json.load(tf.extractfile(tf.getmember('ptalog.json'))) + self.pta = ptalog['pta'] # Benchmark code may be too large to be executed in a single # run, so benchmarks (a benchmark is basically a list of DFA runs) @@ -2168,7 +2181,9 @@ class EnergyTraceLog: Expects an EnergyTrace log file generated via msp430-etv / energytrace-util and a dfatool-generated benchmark. An EnergyTrace log consits of a series of measurements. Each measurement has a timestamp, mean current, voltage, - and cumulative energy since start of measurement. + and cumulative energy since start of measurement. Each transition is + preceded by a Code128 barcode embedded into the energy consumption by + toggling a LED. Note that the baseline power draw of board and peripherals is not subtracted at the moment. |