mirror of
https://github.com/DreamSourceLab/DSView.git
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129 lines
4.4 KiB
Python
129 lines
4.4 KiB
Python
##
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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, see <http://www.gnu.org/licenses/>.
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##
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import sigrokdecode as srd
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from collections import deque
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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 abs(t) >= 1.0:
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return '%.3f s (%.3f Hz)' % (t, (1/t))
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elif abs(t) >= 0.001:
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if 1/t/1000 < 1:
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return '%.3f ms (%.3f Hz)' % (t * 1000.0, (1/t))
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else:
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return '%.3f ms (%.3f kHz)' % (t * 1000.0, (1/t)/1000)
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elif abs(t) >= 0.000001:
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if 1/t/1000/1000 < 1:
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return '%.3f μs (%.3f kHz)' % (t * 1000.0 * 1000.0, (1/t)/1000)
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else:
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return '%.3f μs (%.3f MHz)' % (t * 1000.0 * 1000.0, (1/t)/1000/1000)
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elif abs(t) >= 0.000000001:
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if 1/t/1000/1000/1000:
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return '%.3f ns (%.3f MHz)' % (t * 1000.0 * 1000.0 * 1000.0, (1/t)/1000/1000)
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else:
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return '%.3f ns (%.3f GHz)' % (t * 1000.0 * 1000.0 * 1000.0, (1/t)/1000/1000/1000)
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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 = 3
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id = 'timing'
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name = 'Timing'
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longname = 'Timing calculation with frequency and averaging'
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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 = []
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tags = ['Clock/timing', 'Util']
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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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('average', 'Average'),
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('delta', 'Delta'),
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)
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annotation_rows = (
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('time', 'Time', (0,)),
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('average', 'Average', (1,)),
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('delta', 'Delta', (2,)),
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)
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options = (
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{ 'id': 'avg_period', 'desc': 'Averaging period', 'default': 100 },
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{ 'id': 'edge', 'desc': 'Edges to check', 'default': 'any', 'values': ('any', 'rising', 'falling') },
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{ 'id': 'delta', 'desc': 'Show delta from last', 'default': 'no', 'values': ('yes', 'no') },
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)
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def __init__(self):
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self.reset()
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def reset(self):
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self.samplerate = None
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self.last_samplenum = None
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self.last_n = deque()
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self.chunks = 0
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self.level_changed = False
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self.last_t = 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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self.edge = self.options['edge']
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def decode(self):
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if not self.samplerate:
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raise SamplerateError('Cannot decode without samplerate.')
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while True:
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if self.edge == 'rising':
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self.wait({0: 'r'})
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elif self.edge == 'falling':
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self.wait({0: 'f'})
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else:
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self.wait({0: 'e'})
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if not self.last_samplenum:
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self.last_samplenum = self.samplenum
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continue
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samples = self.samplenum - self.last_samplenum
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t = samples / self.samplerate
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if t > 0:
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self.last_n.append(t)
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if len(self.last_n) > self.options['avg_period']:
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self.last_n.popleft()
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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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if self.options['avg_period'] > 0:
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self.put(self.last_samplenum, self.samplenum, self.out_ann,
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[1, [normalize_time(sum(self.last_n) / len(self.last_n))]])
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if self.last_t and self.options['delta'] == 'yes':
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self.put(self.last_samplenum, self.samplenum, self.out_ann,
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[2, [normalize_time(t - self.last_t)]])
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self.last_t = t
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self.last_samplenum = self.samplenum
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