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Use a DotDict for trace data; default trigger to middle of capture range; add pylab example usage

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Jonathan Hogg
2017-03-25 15:32:27 +00:00
parent 4391007007
commit 425c145ef5
1 changed files with 31 additions and 8 deletions
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39
scope.py
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@ -14,6 +14,12 @@ import vm
Log = logging.getLogger('scope')
class DotDict(dict):
__getattr__ = dict.__getitem__
__setattr__ = dict.__setitem__
__delattr__ = dict.__delitem__
class Scope(vm.VirtualMachine):
PARAMS_MAGIC = 0xb0b2
@ -94,7 +100,7 @@ class Scope(vm.VirtualMachine):
dh = (h*(2*ah + b) - ah*(l + 1)) / b
return dl, dh
async def capture(self, channels=['A'], trigger_channel=None, trigger_level=0, trigger_type='rising', hair_trigger=False,
async def capture(self, channels=['A'], trigger_channel=None, trigger_level=None, trigger_type='rising', hair_trigger=False,
period=1e-3, nsamples=1000, timeout=None, low=None, high=None, raw=False):
if 'A' in channels and 'B' in channels:
nsamples_multiplier = 2
@ -124,6 +130,8 @@ class Scope(vm.VirtualMachine):
high = self.analog_max
lo, hi = self.calculate_lo_hi(low, high)
if trigger_level is None:
trigger_level = (high + low) / 2
if trigger_channel is None:
trigger_channel = channels[0]
else:
@ -166,7 +174,7 @@ class Scope(vm.VirtualMachine):
if code != 2:
break
address = int((await self.read_replies(1))[0], 16) // nsamples_multiplier
traces = {'t': [t*nsamples_multiplier*self.capture_clock_period for t in range(timestamp-nsamples*ticks, timestamp, ticks)]}
traces = DotDict({'t': [t*nsamples_multiplier*self.capture_clock_period for t in range(timestamp-nsamples*ticks, timestamp, ticks)]})
for dump_channel, channel in enumerate(sorted(channels)):
async with self.transaction():
await self.set_registers(SampleAddress=(address - nsamples) * nsamples_multiplier % buffer_width,
@ -295,7 +303,24 @@ class Scope(vm.VirtualMachine):
return result.success
import numpy as np
"""
$ ipython3 --pylab
Using matplotlib backend: MacOSX
In [1]: run scope
INFO:scope:Resetting scope
INFO:scope:Initialised scope, revision: BS000501
In [2]: generate(2000, 'triangle')
Out[2]: 2000.0
In [3]: traces = capture('A', low=0, high=3.3)
In [4]: plot(traces.t, traces.A)
Out[4]: [<matplotlib.lines.Line2D at 0x114009160>]
In [5]:
"""
async def main():
global s, x, y, data
@ -303,11 +328,9 @@ async def main():
parser.add_argument('device', nargs='?', default=None, type=str, help="Device to connect to")
args = parser.parse_args()
s = await Scope.connect(args.device)
x = np.linspace(0, 2*np.pi, s.awg_wavetable_size, endpoint=False)
y = np.round((np.sin(x)**5)*127 + 128, 0).astype('uint8')
await s.start_generator(1000, wavetable=y)
#if await s.calibrate():
# await s.save_params()
#x = np.linspace(0, 2*np.pi, s.awg_wavetable_size, endpoint=False)
#y = np.round((np.sin(x)**5)*127 + 128, 0).astype('uint8')
#await s.start_generator(1000, wavetable=y)
def capture(*args, **kwargs):
return asyncio.get_event_loop().run_until_complete(s.capture(*args, **kwargs))