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-rw-r--r--decoders/timing/pd.py28
1 files changed, 24 insertions, 4 deletions
diff --git a/decoders/timing/pd.py b/decoders/timing/pd.py
index f14b64f..071c990 100644
--- a/decoders/timing/pd.py
+++ b/decoders/timing/pd.py
@@ -45,11 +45,26 @@ def normalize_time(t):
else:
return '%f' % t
+def terse_times(t):
+ if abs(t) >= 1e0:
+ t *= 1e0
+ return ['{:.0f}s'.format(t), '{:.0f}'.format(t)]
+ if abs(t) >= 1e-3:
+ t *= 1e3
+ return ['{:.0f}ms'.format(t), '{:.0f}'.format(t)]
+ if abs(t) >= 1e-6:
+ t *= 1e6
+ return ['{:.0f}us'.format(t), '{:.0f}'.format(t)]
+ if abs(t) >= 1e-9:
+ t *= 1e9
+ return ['{:.0f}ns'.format(t), '{:.0f}'.format(t)]
+ return ['{:f}'.format(t = t)]
+
class Pin:
(DATA,) = range(1)
class Ann:
- (TIME, AVG, DELTA,) = range(3)
+ (TIME, TERSE, AVG, DELTA,) = range(4)
class Decoder(srd.Decoder):
api_version = 3
@@ -66,11 +81,12 @@ class Decoder(srd.Decoder):
)
annotations = (
('time', 'Time'),
+ ('terse', 'Terse'),
('average', 'Average'),
('delta', 'Delta'),
)
annotation_rows = (
- ('times', 'Times', (Ann.TIME,)),
+ ('times', 'Times', (Ann.TIME, Ann.TERSE,)),
('averages', 'Averages', (Ann.AVG,)),
('deltas', 'Deltas', (Ann.DELTA,)),
)
@@ -78,6 +94,7 @@ class Decoder(srd.Decoder):
{ 'id': 'avg_period', 'desc': 'Averaging period', 'default': 100 },
{ 'id': 'edge', 'desc': 'Edges to check', 'default': 'any', 'values': ('any', 'rising', 'falling') },
{ 'id': 'delta', 'desc': 'Show delta from last', 'default': 'no', 'values': ('yes', 'no') },
+ { 'id': 'terse', 'desc': 'Show periods in terse format', 'default': 'no', 'values': ('yes', 'no') },
)
def __init__(self):
@@ -98,6 +115,7 @@ class Decoder(srd.Decoder):
raise SamplerateError('Cannot decode without samplerate.')
edge = self.options['edge']
avg_period = self.options['avg_period']
+ terse = self.options['terse'] == 'yes'
ss = None
last_n = deque()
last_t = None
@@ -121,8 +139,10 @@ class Decoder(srd.Decoder):
if len(last_n) > avg_period:
last_n.popleft()
- self.put(ss, es, self.out_ann,
- [Ann.TIME, [normalize_time(t)]])
+ if terse:
+ self.put(ss, es, self.out_ann, [Ann.TERSE, terse_times(t)])
+ else:
+ self.put(ss, es, self.out_ann, [Ann.TIME, [normalize_time(t)]])
if avg_period > 0:
self.put(ss, es, self.out_ann,
[Ann.AVG, [normalize_time(sum(last_n) / len(last_n))]])