X-Git-Url: https://sigrok.org/gitweb/?p=libsigrokdecode.git;a=blobdiff_plain;f=decoders%2Ftransitioncounter.py;h=6092258d44b6ea25706dc686fff691723c875402;hp=a6d331e85fc1af676d87edbebdce96c28d343a0a;hb=d0e93c76e381eff58ca23949301f781b24ba4a8b;hpb=9c93add5aeca95c568afab7fe249c0586d8dec6b diff --git a/decoders/transitioncounter.py b/decoders/transitioncounter.py index a6d331e..6092258 100644 --- a/decoders/transitioncounter.py +++ b/decoders/transitioncounter.py @@ -18,77 +18,83 @@ ## Foundation, Inc., 51 Franklin St, Fifth Floor, Boston, MA 02110-1301 USA ## -def decode(inbuf): - """Counts the low->high and high->low transitions in the specified - channel(s) of the signal.""" - - outbuf = '' - - # FIXME: Get the data in the correct format in the first place. - inbuf = [ord(x) for x in inbuf] - - # TODO: Don't hardcode the number of channels. - channels = 8 - - oldbit = [0] * channels - transitions = [0] * channels - rising = [0] * channels - falling = [0] * channels - - # Initial values. - oldbyte = inbuf[0] - for i in range(channels): - oldbit[i] = (oldbyte & (1 << i)) >> i - - # Loop over all samples. - # TODO: Handle LAs with more/less than 8 channels. - for s in inbuf: - # Optimization: Skip identical bytes (no transitions). - if oldbyte == s: - continue - for i in range(channels): - curbit = (s & (1 << i)) >> i - # Optimization: Skip identical bits (no transitions). - if oldbit[i] == curbit: - continue - elif (oldbit[i] == 0 and curbit == 1): - rising[i] += 1 - elif (oldbit[i] == 1 and curbit == 0): - falling[i] += 1 - oldbit[i] = curbit - oldbyte = s - - # Total number of transitions is the sum of rising and falling edges. - for i in range(channels): - transitions[i] = rising[i] + falling[i] - - outbuf += "Rising edges: " - for i in range(channels): - outbuf += str(rising[i]) + " " - outbuf += "\nFalling edges: " - for i in range(channels): - outbuf += str(falling[i]) + " " - outbuf += "\nTransitions: " - for i in range(channels): - outbuf += str(transitions[i]) + " " - outbuf += "\n" - - return outbuf - -def register(): - return { - 'id': 'transitioncounter', - 'name': 'Transition counter', - 'desc': 'Count rising/falling edges', - 'inputformats': ['raw'], - 'signalnames': {}, # FIXME - 'outputformats': ['transitioncounts'], - } - -# Use psyco (if available) as it results in huge performance improvements. -try: - import psyco - psyco.bind(decode) -except ImportError: - pass +import sigrokdecode as srd + +class Decoder(srd.Decoder): + id = 'transitioncounter' + name = 'Transition counter' + longname = '...' + desc = 'Counts rising/falling edges in the signal.' + longdesc = '...' + author = 'Uwe Hermann' + email = 'uwe@hermann-uwe.de' + license = 'gplv2+' + inputs = ['logic'] + outputs = ['transitioncounts'] + probes = [ + ] # TODO? + options = {} + + def __init__(self, **kwargs): + self.channels = -1 + self.lastsample = None + + def start(self, metadata): + # self.out_proto = self.add(srd.SRD_OUTPUT_PROTO, 'transitioncounter') + self.out_ann = self.add(srd.SRD_OUTPUT_ANN, 'transitioncounter') + + def report(self): + pass + + def decode(self, timeoffset, duration, data): + + for (samplenum, s) in data: + + # ... + if self.channels == -1: + self.channels = len(s) + self.oldbit = [0] * self.channels + self.transitions = [0] * self.channels + self.rising = [0] * self.channels + self.falling = [0] * self.channels + + # Optimization: Skip identical samples (no transitions). + if self.lastsample == s: + continue + + # Upon the first sample, store the initial values. + if self.lastsample == None: + self.lastsample = s + for i in range(self.channels): + self.oldbit[i] = self.lastsample[i] + + # Iterate over all channels/probes in this sample. + # Count rising and falling edges for each channel. + for i in range(self.channels): + curbit = s[i] + # Optimization: Skip identical bits (no transitions). + if self.oldbit[i] == curbit: + continue + elif (self.oldbit[i] == 0 and curbit == 1): + self.rising[i] += 1 + elif (self.oldbit[i] == 1 and curbit == 0): + self.falling[i] += 1 + self.oldbit[i] = curbit + + # Save the current sample as 'lastsample' for the next round. + self.lastsample = s + + # Total number of transitions = rising + falling edges. + for i in range(self.channels): + self.transitions[i] = self.rising[i] + self.falling[i] + + # TODO: Which output format? + # TODO: How to only output something after the last chunk of data? + outdata = [] + for i in range(self.channels): + outdata += [[self.transitions[i], self.rising[i], self.falling[i]]] + + if outdata != []: + # self.put(0, 0, self.out_proto, out_proto) + self.put(0, 0, self.out_ann, outdata)