def _parse_waveform(data: types.PulseInstruction) -> types.ParsedInstruction:
"""A helper function that generates an array for the waveform with
instruction metadata.
Args:
data: Instruction data set
Raises:
VisualizationError: When invalid instruction type is loaded.
Returns:
A data source to generate a drawing object.
"""
inst = data.inst
meta = dict()
if isinstance(inst, instructions.Play):
# pulse
operand = inst.pulse
if isinstance(operand, pulse.ParametricPulse):
pulse_data = operand.get_waveform()
meta.update(operand.parameters)
else:
pulse_data = operand
xdata = np.arange(pulse_data.duration) + data.t0
ydata = pulse_data.samples
elif isinstance(inst, instructions.Delay):
# delay
xdata = np.arange(inst.duration) + data.t0
ydata = np.zeros(inst.duration)
elif isinstance(inst, instructions.Acquire):
# acquire
xdata = np.arange(inst.duration) + data.t0
ydata = np.ones(inst.duration)
acq_data = {
'memory slot': inst.mem_slot.name,
'register slot': inst.reg_slot.name if inst.reg_slot else 'N/A',
'discriminator':
inst.discriminator.name if inst.discriminator else 'N/A',
'kernel': inst.kernel.name if inst.kernel else 'N/A'
}
meta.update(acq_data)
else:
raise VisualizationError(
'Unsupported instruction {inst} by '
'filled envelope.'.format(inst=inst.__class__.__name__))
meta.update({
'duration (cycle time)': inst.duration,
'duration (sec)': inst.duration * data.dt if data.dt else 'N/A',
't0 (cycle time)': data.t0,
't0 (sec)': data.t0 * data.dt if data.dt else 'N/A',
'phase': data.frame.phase,
'frequency': data.frame.freq,
'name': inst.name
})
return types.ParsedInstruction(xdata, ydata, meta)
def _parse_waveform(
data: types.PulseInstruction,
) -> Union[types.ParsedInstruction, types.OpaqueShape]:
"""A helper function that generates an array for the waveform with
instruction metadata.
Args:
data: Instruction data set
Raises:
VisualizationError: When invalid instruction type is loaded.
Returns:
A data source to generate a drawing.
"""
inst = data.inst
meta = {}
if isinstance(inst, instructions.Play):
# pulse
operand = inst.pulse
if isinstance(operand, (pulse.ParametricPulse, pulse.SymbolicPulse)):
# parametric pulse
params = operand.parameters
duration = params.pop("duration", None)
if isinstance(duration, circuit.Parameter):
duration = None
if hasattr(operand, "pulse_type"):
# Symbolic pulse
meta["waveform shape"] = operand.pulse_type
else:
meta["waveform"] = operand.__class__.__name__
meta.update({
key: val.name if isinstance(val, circuit.Parameter) else val
for key, val in params.items()
})
if data.is_opaque:
# parametric pulse with unbound parameter
if duration:
meta.update({
"duration (cycle time)":
inst.duration,
"duration (sec)":
inst.duration * data.dt if data.dt else "N/A",
})
else:
meta.update({
"duration (cycle time)": "N/A",
"duration (sec)": "N/A"
})
meta.update({
"t0 (cycle time)": data.t0,
"t0 (sec)": data.t0 * data.dt if data.dt else "N/A",
"phase": data.frame.phase,
"frequency": data.frame.freq,
"name": inst.name,
})
return types.OpaqueShape(duration=duration, meta=meta)
else:
# fixed shape parametric pulse
pulse_data = operand.get_waveform()
else:
# waveform
pulse_data = operand
xdata = np.arange(pulse_data.duration) + data.t0
ydata = pulse_data.samples
elif isinstance(inst, instructions.Delay):
# delay
xdata = np.arange(inst.duration) + data.t0
ydata = np.zeros(inst.duration)
elif isinstance(inst, instructions.Acquire):
# acquire
xdata = np.arange(inst.duration) + data.t0
ydata = np.ones(inst.duration)
acq_data = {
"memory slot": inst.mem_slot.name,
"register slot": inst.reg_slot.name if inst.reg_slot else "N/A",
"discriminator":
inst.discriminator.name if inst.discriminator else "N/A",
"kernel": inst.kernel.name if inst.kernel else "N/A",
}
meta.update(acq_data)
else:
raise VisualizationError(
"Unsupported instruction {inst} by "
"filled envelope.".format(inst=inst.__class__.__name__))
meta.update({
"duration (cycle time)": inst.duration,
"duration (sec)": inst.duration * data.dt if data.dt else "N/A",
"t0 (cycle time)": data.t0,
"t0 (sec)": data.t0 * data.dt if data.dt else "N/A",
"phase": data.frame.phase,
"frequency": data.frame.freq,
"name": inst.name,
})
return types.ParsedInstruction(xvals=xdata, yvals=ydata, meta=meta)
def _parse_waveform(
data: types.PulseInstruction
) -> Union[types.ParsedInstruction, types.OpaqueShape]:
"""A helper function that generates an array for the waveform with
instruction metadata.
Args:
data: Instruction data set
Raises:
VisualizationError: When invalid instruction type is loaded.
Returns:
A data source to generate a drawing.
"""
inst = data.inst
meta = dict()
if isinstance(inst, instructions.Play):
# pulse
operand = inst.pulse
if isinstance(operand, pulse.ParametricPulse):
# parametric pulse
params = operand.parameters
duration = params.pop('duration', None)
if isinstance(duration, circuit.Parameter):
duration = None
meta.update({'waveform shape': operand.__class__.__name__})
meta.update({
key: val.name if isinstance(val, circuit.Parameter) else val
for key, val in params.items()
})
if data.is_opaque:
# parametric pulse with unbound parameter
if duration:
meta.update({
'duration (cycle time)':
inst.duration,
'duration (sec)':
inst.duration * data.dt if data.dt else 'N/A'
})
else:
meta.update({
'duration (cycle time)': 'N/A',
'duration (sec)': 'N/A'
})
meta.update({
't0 (cycle time)': data.t0,
't0 (sec)': data.t0 * data.dt if data.dt else 'N/A',
'phase': data.frame.phase,
'frequency': data.frame.freq,
'name': inst.name
})
return types.OpaqueShape(duration=duration, meta=meta)
else:
# fixed shape parametric pulse
pulse_data = operand.get_waveform()
else:
# waveform
pulse_data = operand
xdata = np.arange(pulse_data.duration) + data.t0
ydata = pulse_data.samples
elif isinstance(inst, instructions.Delay):
# delay
xdata = np.arange(inst.duration) + data.t0
ydata = np.zeros(inst.duration)
elif isinstance(inst, instructions.Acquire):
# acquire
xdata = np.arange(inst.duration) + data.t0
ydata = np.ones(inst.duration)
acq_data = {
'memory slot': inst.mem_slot.name,
'register slot': inst.reg_slot.name if inst.reg_slot else 'N/A',
'discriminator':
inst.discriminator.name if inst.discriminator else 'N/A',
'kernel': inst.kernel.name if inst.kernel else 'N/A'
}
meta.update(acq_data)
else:
raise VisualizationError(
'Unsupported instruction {inst} by '
'filled envelope.'.format(inst=inst.__class__.__name__))
meta.update({
'duration (cycle time)': inst.duration,
'duration (sec)': inst.duration * data.dt if data.dt else 'N/A',
't0 (cycle time)': data.t0,
't0 (sec)': data.t0 * data.dt if data.dt else 'N/A',
'phase': data.frame.phase,
'frequency': data.frame.freq,
'name': inst.name
})
return types.ParsedInstruction(xvals=xdata, yvals=ydata, meta=meta)