X-Git-Url: https://sigrok.org/gitweb/?p=libsigrokdecode.git;a=blobdiff_plain;f=decoders%2Ftiming%2Fpd.py;h=61eab1ea104c03b1a45b8f646f2b16df697cf4eb;hp=e0795f3677a7e0f4a306aab4198ed55800b37630;hb=10aeb8ea8b183394cebc0033f048f49f4262b57d;hpb=92b7b49f6964f57a7d6fc4473645c993cfa4ba52 diff --git a/decoders/timing/pd.py b/decoders/timing/pd.py index e0795f3..61eab1e 100644 --- a/decoders/timing/pd.py +++ b/decoders/timing/pd.py @@ -15,32 +15,41 @@ ## GNU General Public License for more details. ## ## You should have received a copy of the GNU General Public License -## along with this program; if not, write to the Free Software -## Foundation, Inc., 51 Franklin St, Fifth Floor, Boston, MA 02110-1301 USA +## along with this program; if not, see . ## import sigrokdecode as srd +from collections import deque class SamplerateError(Exception): pass def normalize_time(t): - if t >= 1.0: - return '%.3f s' % t - elif t >= 0.001: - return '%.3f ms' % (t * 1000.0) - elif t >= 0.000001: - return '%.3f μs' % (t * 1000.0 * 1000.0) - elif t >= 0.000000001: - return '%.3f ns' % (t * 1000.0 * 1000.0 * 1000.0) + if abs(t) >= 1.0: + return '%.3f s (%.3f Hz)' % (t, (1/t)) + 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 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 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: + return '%.3f ns (%.3f GHz)' % (t * 1000.0 * 1000.0 * 1000.0, (1/t)/1000/1000/1000) else: return '%f' % t class Decoder(srd.Decoder): - api_version = 2 + api_version = 3 id = 'timing' name = 'Timing' - longname = 'Timing calculation' + longname = 'Timing calculation with frequency and averaging' desc = 'Calculate time between edges.' license = 'gplv2+' inputs = ['logic'] @@ -50,15 +59,30 @@ class Decoder(srd.Decoder): ) annotations = ( ('time', 'Time'), + ('average', 'Average'), + ('delta', 'Delta'), ) annotation_rows = ( ('time', 'Time', (0,)), + ('average', 'Average', (1,)), + ('delta', 'Delta', (2,)), + ) + 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') }, ) 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 + self.level_changed = False + self.last_t = None def metadata(self, key, value): if key == srd.SRD_CONF_SAMPLERATE: @@ -66,29 +90,38 @@ class Decoder(srd.Decoder): def start(self): self.out_ann = self.register(srd.OUTPUT_ANN) + self.edge = self.options['edge'] - def decode(self, ss, es, data): + def decode(self): if not self.samplerate: raise SamplerateError('Cannot decode without samplerate.') + while True: + if self.edge == 'rising': + pin = self.wait({0: 'r'}) + elif self.edge == 'falling': + pin = self.wait({0: 'f'}) + else: + pin = self.wait({0: 'e'}) - for (self.samplenum, (pin,)) in data: - # Ignore identical samples early on (for performance reasons). - if self.oldpin == pin: - continue - - if self.oldpin is None: - self.oldpin = pin + if not self.last_samplenum: self.last_samplenum = self.samplenum continue + samples = self.samplenum - self.last_samplenum + t = samples / self.samplerate - if self.oldpin != pin: - samples = self.samplenum - self.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() - # 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))]]) + if self.last_t and self.options['delta'] == 'yes': self.put(self.last_samplenum, self.samplenum, self.out_ann, - [0, [normalize_time(t)]]) + [2, [normalize_time(t - self.last_t)]]) - # Store data for next round. - self.last_samplenum = self.samplenum - self.oldpin = pin + self.last_t = t + self.last_samplenum = self.samplenum