mirror of
https://github.com/DreamSourceLab/DSView.git
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96 lines
2.9 KiB
Python
96 lines
2.9 KiB
Python
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##
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## This file is part of the libsigrokdecode project.
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##
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## Copyright (C) 2014 Torsten Duwe <duwe@suse.de>
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## Copyright (C) 2014 Sebastien Bourdelin <sebastien.bourdelin@savoirfairelinux.com>
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##
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## This program is free software; you can redistribute it and/or modify
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## it under the terms of the GNU General Public License as published by
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## the Free Software Foundation; either version 2 of the License, or
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## (at your option) any later version.
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##
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## This program is distributed in the hope that it will be useful,
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## but WITHOUT ANY WARRANTY; without even the implied warranty of
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## MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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## GNU General Public License for more details.
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##
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## You should have received a copy of the GNU General Public License
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## along with this program; if not, write to the Free Software
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## Foundation, Inc., 51 Franklin St, Fifth Floor, Boston, MA 02110-1301 USA
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##
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import sigrokdecode as srd
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class SamplerateError(Exception):
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pass
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def normalize_time(t):
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if t >= 1.0:
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return '%.3f s' % t
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elif t >= 0.001:
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return '%.3f ms' % (t * 1000.0)
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elif t >= 0.000001:
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return '%.3f μs' % (t * 1000.0 * 1000.0)
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elif t >= 0.000000001:
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return '%.3f ns' % (t * 1000.0 * 1000.0 * 1000.0)
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else:
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return '%f' % t
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class Decoder(srd.Decoder):
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api_version = 2
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id = 'timing'
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name = 'Timing'
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longname = 'Timing calculation'
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desc = 'Calculate time between edges.'
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license = 'gplv2+'
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inputs = ['logic']
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outputs = ['timing']
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channels = (
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{'id': 'data', 'name': 'Data', 'desc': 'Data line'},
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)
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annotations = (
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('time', 'Time'),
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)
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annotation_rows = (
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('time', 'Time', (0,)),
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)
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def __init__(self):
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self.samplerate = None
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self.oldpin = None
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self.last_samplenum = None
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def metadata(self, key, value):
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if key == srd.SRD_CONF_SAMPLERATE:
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self.samplerate = value
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def start(self):
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self.out_ann = self.register(srd.OUTPUT_ANN)
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def decode(self, ss, es, data):
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if not self.samplerate:
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raise SamplerateError('Cannot decode without samplerate.')
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for (self.samplenum, (pin,)) in data:
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data.itercnt += 1
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# Ignore identical samples early on (for performance reasons).
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if self.oldpin == pin:
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continue
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if self.oldpin is None:
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self.oldpin = pin
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self.last_samplenum = self.samplenum
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continue
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if self.oldpin != pin:
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samples = self.samplenum - self.last_samplenum
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t = samples / self.samplerate
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# Report the timing normalized.
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self.put(self.last_samplenum, self.samplenum, self.out_ann,
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[0, [normalize_time(t)]])
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# Store data for next round.
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self.last_samplenum = self.samplenum
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self.oldpin = pin
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