diff options
Diffstat (limited to 'decoders')
-rw-r--r-- | decoders/timing/pd.py | 43 |
1 files changed, 22 insertions, 21 deletions
diff --git a/decoders/timing/pd.py b/decoders/timing/pd.py index 03d19e6..e687562 100644 --- a/decoders/timing/pd.py +++ b/decoders/timing/pd.py @@ -85,9 +85,6 @@ class Decoder(srd.Decoder): def reset(self): self.samplerate = None - self.last_samplenum = None - self.last_n = deque() - self.last_t = None def metadata(self, key, value): if key == srd.SRD_CONF_SAMPLERATE: @@ -95,38 +92,42 @@ class Decoder(srd.Decoder): def start(self): self.out_ann = self.register(srd.OUTPUT_ANN) - self.edge = self.options['edge'] def decode(self): if not self.samplerate: raise SamplerateError('Cannot decode without samplerate.') + edge = self.options['edge'] + avg_period = self.options['avg_period'] + last_samplenum = None + last_n = deque() + last_t = None while True: - if self.edge == 'rising': + if edge == 'rising': pin = self.wait({Pin.DATA: 'r'}) - elif self.edge == 'falling': + elif edge == 'falling': pin = self.wait({Pin.DATA: 'f'}) else: pin = self.wait({Pin.DATA: 'e'}) - if not self.last_samplenum: - self.last_samplenum = self.samplenum + if not last_samplenum: + last_samplenum = self.samplenum continue - samples = self.samplenum - self.last_samplenum + samples = self.samplenum - last_samplenum t = samples / self.samplerate if t > 0: - self.last_n.append(t) - if len(self.last_n) > self.options['avg_period']: - self.last_n.popleft() + last_n.append(t) + if len(last_n) > avg_period: + last_n.popleft() - self.put(self.last_samplenum, self.samplenum, self.out_ann, + self.put(last_samplenum, self.samplenum, self.out_ann, [Ann.TIME, [normalize_time(t)]]) - if self.options['avg_period'] > 0: - self.put(self.last_samplenum, self.samplenum, self.out_ann, - [Ann.AVG, [normalize_time(sum(self.last_n) / len(self.last_n))]]) - if self.last_t and self.options['delta'] == 'yes': - self.put(self.last_samplenum, self.samplenum, self.out_ann, - [Ann.DELTA, [normalize_time(t - self.last_t)]]) + if avg_period > 0: + self.put(last_samplenum, self.samplenum, self.out_ann, + [Ann.AVG, [normalize_time(sum(last_n) / len(last_n))]]) + if last_t and self.options['delta'] == 'yes': + self.put(last_samplenum, self.samplenum, self.out_ann, + [Ann.DELTA, [normalize_time(t - last_t)]]) - self.last_t = t - self.last_samplenum = self.samplenum + last_t = t + last_samplenum = self.samplenum |