pass
def normalize_time(t):
- if t >= 1.0:
+ if abs(t) >= 1.0:
return '%.3f s (%.3f Hz)' % (t, (1/t))
- elif t >= 0.001:
+ elif abs(t) >= 0.001:
if 1/t/1000 < 1:
return '%.3f ms (%.3f Hz)' % (t * 1000.0, (1/t))
else:
return '%.3f ms (%.3f kHz)' % (t * 1000.0, (1/t)/1000)
- elif t >= 0.000001:
+ elif abs(t) >= 0.000001:
if 1/t/1000/1000 < 1:
return '%.3f μs (%.3f kHz)' % (t * 1000.0 * 1000.0, (1/t)/1000)
else:
return '%.3f μs (%.3f MHz)' % (t * 1000.0 * 1000.0, (1/t)/1000/1000)
- elif t >= 0.000000001:
+ elif abs(t) >= 0.000000001:
if 1/t/1000/1000/1000:
return '%.3f ns (%.3f MHz)' % (t * 1000.0 * 1000.0 * 1000.0, (1/t)/1000/1000)
else:
else:
return '%f' % t
+def terse_times(t, fmt):
+ # Strictly speaking these variants are not used in the current
+ # implementation, but can reduce diffs during future maintenance.
+ if fmt == 'full':
+ return [normalize_time(t)]
+ # End of "forward compatibility".
+
+ if fmt == 'samples':
+ # See below. No unit text, on purpose.
+ return ['{:d}'.format(t)]
+
+ # Use caller specified scale, or automatically find one.
+ scale, unit = None, None
+ if fmt == 'terse-auto':
+ if abs(t) >= 1e0:
+ scale, unit = 1e0, 's'
+ elif abs(t) >= 1e-3:
+ scale, unit = 1e3, 'ms'
+ elif abs(t) >= 1e-6:
+ scale, unit = 1e6, 'us'
+ elif abs(t) >= 1e-9:
+ scale, unit = 1e9, 'ns'
+ elif abs(t) >= 1e-12:
+ scale, unit = 1e12, 'ps'
+ # Beware! Uses unit-less text when the user picked the scale. For
+ # more consistent output with less clutter, thus faster navigation
+ # by humans. Can also un-hide text at higher distance zoom levels.
+ elif fmt == 'terse-s':
+ scale, unit = 1e0, ''
+ elif fmt == 'terse-ms':
+ scale, unit = 1e3, ''
+ elif fmt == 'terse-us':
+ scale, unit = 1e6, ''
+ elif fmt == 'terse-ns':
+ scale, unit = 1e9, ''
+ elif fmt == 'terse-ps':
+ scale, unit = 1e12, ''
+ if scale:
+ t *= scale
+ return ['{:.0f}{}'.format(t, unit), '{:.0f}'.format(t)]
+
+ # Unspecified format, and nothing auto-detected.
+ return ['{:f}'.format(t)]
+
+class Pin:
+ (DATA,) = range(1)
+
+class Ann:
+ (TIME, TERSE, AVG, DELTA,) = range(4)
+
class Decoder(srd.Decoder):
api_version = 3
id = 'timing'
desc = 'Calculate time between edges.'
license = 'gplv2+'
inputs = ['logic']
- outputs = ['timing']
+ outputs = []
+ tags = ['Clock/timing', 'Util']
channels = (
{'id': 'data', 'name': 'Data', 'desc': 'Data line'},
)
annotations = (
('time', 'Time'),
+ ('terse', 'Terse'),
('average', 'Average'),
+ ('delta', 'Delta'),
)
annotation_rows = (
- ('time', 'Time', (0,)),
- ('average', 'Average', (1,)),
+ ('times', 'Times', (Ann.TIME, Ann.TERSE,)),
+ ('averages', 'Averages', (Ann.AVG,)),
+ ('deltas', 'Deltas', (Ann.DELTA,)),
)
options = (
{ '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': 'format', 'desc': 'Format of \'time\' annotation',
+ 'default': 'full', 'values': ('full', 'terse-auto',
+ 'terse-s', 'terse-ms', 'terse-us', 'terse-ns', 'terse-ps',
+ 'samples') },
)
def __init__(self):
+ self.reset()
+
+ def reset(self):
self.samplerate = None
- self.oldpin = None
- self.last_samplenum = None
- self.last_n = deque()
- self.chunks = 0
def metadata(self, key, value):
if key == srd.SRD_CONF_SAMPLERATE:
def start(self):
self.out_ann = self.register(srd.OUTPUT_ANN)
- self.initial_pins = [0]
def decode(self):
if not self.samplerate:
raise SamplerateError('Cannot decode without samplerate.')
+ edge = self.options['edge']
+ avg_period = self.options['avg_period']
+ delta = self.options['delta'] == 'yes'
+ fmt = self.options['format']
+ ss = None
+ last_n = deque()
+ last_t = None
while True:
- pin = self.wait({0: 'e'})
+ if edge == 'rising':
+ pin = self.wait({Pin.DATA: 'r'})
+ elif edge == 'falling':
+ pin = self.wait({Pin.DATA: 'f'})
+ else:
+ pin = self.wait({Pin.DATA: 'e'})
- if self.oldpin is None:
- self.oldpin = pin
- self.last_samplenum = self.samplenum
+ if not ss:
+ ss = self.samplenum
continue
+ es = self.samplenum
+ sa = es - ss
+ t = sa / self.samplerate
+
+ if fmt == 'full':
+ cls, txt = Ann.TIME, [normalize_time(t)]
+ elif fmt == 'samples':
+ cls, txt = Ann.TERSE, terse_times(sa, fmt)
+ else:
+ cls, txt = Ann.TERSE, terse_times(t, fmt)
+ if txt:
+ self.put(ss, es, self.out_ann, [cls, txt])
+
+ if avg_period > 0:
+ if t > 0:
+ last_n.append(t)
+ if len(last_n) > avg_period:
+ last_n.popleft()
+ average = sum(last_n) / len(last_n)
+ cls, txt = Ann.AVG, normalize_time(average)
+ self.put(ss, es, self.out_ann, [cls, [txt]])
+ if last_t and delta:
+ cls, txt = Ann.DELTA, normalize_time(t - last_t)
+ self.put(ss, es, self.out_ann, [cls, [txt]])
- if self.oldpin != pin:
- samples = self.samplenum - self.last_samplenum
- t = samples / self.samplerate
- self.chunks += 1
-
- # Don't insert the first chunk into the averaging as it is
- # not complete probably.
- if self.last_samplenum is None or self.chunks < 2:
- # Report the timing normalized.
- self.put(self.last_samplenum, self.samplenum, self.out_ann,
- [0, [normalize_time(t)]])
- else:
- if t > 0:
- self.last_n.append(t)
-
- if len(self.last_n) > self.options['avg_period']:
- self.last_n.popleft()
-
- # Report the timing normalized.
- self.put(self.last_samplenum, self.samplenum, self.out_ann,
- [0, [normalize_time(t)]])
- if self.options['avg_period'] > 0:
- self.put(self.last_samplenum, self.samplenum, self.out_ann,
- [1, [normalize_time(sum(self.last_n) / len(self.last_n))]])
-
- # Store data for next round.
- self.last_samplenum = self.samplenum
- self.oldpin = pin
+ last_t = t
+ ss = es