def _assemble_instructions(
schedule: pulse.Schedule,
instruction_converter: converters.InstructionToQobjConverter,
run_config: RunConfig, user_pulselib: Dict[str, List[complex]]
) -> Tuple[List[qobj.PulseQobjInstruction], int]:
"""Assembles the instructions in a schedule into a list of PulseQobjInstructions and returns
related metadata that will be assembled into the Qobj configuration. Lookup table for
pulses defined in all experiments are registered in ``user_pulselib``. This object should be
mutable python dictionary so that items are properly updated after each instruction assemble.
The dictionary is not returned to avoid redundancy.
Args:
schedule: Schedule to assemble.
instruction_converter: A converter instance which can convert PulseInstructions to
PulseQobjInstructions.
run_config: Configuration of the runtime environment.
user_pulselib: User pulse library from previous schedule.
Returns:
A list of converted instructions, the user pulse library dictionary (from pulse name to
pulse samples), and the maximum number of readout memory slots used by this Schedule.
"""
max_memory_slot = 0
qobj_instructions = []
acquire_instruction_map = defaultdict(list)
for time, instruction in schedule.instructions:
if (isinstance(instruction, instructions.Play)
and isinstance(instruction.pulse, library.ParametricPulse)):
pulse_shape = ParametricPulseShapes(type(instruction.pulse)).name
if pulse_shape not in run_config.parametric_pulses:
instruction = instructions.Play(
instruction.pulse.get_waveform(),
instruction.channel,
name=instruction.name)
if (isinstance(instruction, instructions.Play)
and isinstance(instruction.pulse, library.Waveform)):
name = hashlib.sha256(instruction.pulse.samples).hexdigest()
instruction = instructions.Play(library.Waveform(
name=name, samples=instruction.pulse.samples),
channel=instruction.channel,
name=name)
user_pulselib[name] = instruction.pulse.samples
if isinstance(instruction, instructions.Acquire):
if instruction.mem_slot:
max_memory_slot = max(max_memory_slot,
instruction.mem_slot.index)
# Acquires have a single AcquireChannel per inst, but we have to bundle them
# together into the Qobj as one instruction with many channels
acquire_instruction_map[(time,
instruction.duration)].append(instruction)
continue
if isinstance(instruction,
(instructions.Delay, instructions.Directive)):
# delay instructions are ignored as timing is explicit within qobj
continue
qobj_instructions.append(instruction_converter(time, instruction))
if acquire_instruction_map:
if hasattr(run_config, 'meas_map'):
_validate_meas_map(acquire_instruction_map, run_config.meas_map)
for (time, _), instrs in acquire_instruction_map.items():
qobj_instructions.append(
instruction_converter.convert_bundled_acquires(time, instrs), )
return qobj_instructions, max_memory_slot
def _assemble_instructions(
sched: Union[pulse.Schedule, pulse.ScheduleBlock],
instruction_converter: converters.InstructionToQobjConverter,
run_config: RunConfig,
user_pulselib: Dict[str, List[complex]],
) -> Tuple[List[qobj.PulseQobjInstruction], int]:
"""Assembles the instructions in a schedule into a list of PulseQobjInstructions and returns
related metadata that will be assembled into the Qobj configuration. Lookup table for
pulses defined in all experiments are registered in ``user_pulselib``. This object should be
mutable python dictionary so that items are properly updated after each instruction assemble.
The dictionary is not returned to avoid redundancy.
Args:
sched: Schedule to assemble.
instruction_converter: A converter instance which can convert PulseInstructions to
PulseQobjInstructions.
run_config: Configuration of the runtime environment.
user_pulselib: User pulse library from previous schedule.
Returns:
A list of converted instructions, the user pulse library dictionary (from pulse name to
pulse samples), and the maximum number of readout memory slots used by this Schedule.
"""
sched = transforms.target_qobj_transform(sched)
max_memory_slot = 0
qobj_instructions = []
acquire_instruction_map = defaultdict(list)
for time, instruction in sched.instructions:
if isinstance(instruction, instructions.Play):
if isinstance(instruction.pulse, (library.ParametricPulse, library.SymbolicPulse)):
is_backend_supported = True
try:
pulse_shape = ParametricPulseShapes(type(instruction.pulse)).name
if pulse_shape not in run_config.parametric_pulses:
is_backend_supported = False
except ValueError:
# Custom pulse class, or bare SymbolicPulse object.
is_backend_supported = False
if not is_backend_supported:
instruction = instructions.Play(
instruction.pulse.get_waveform(), instruction.channel, name=instruction.name
)
if isinstance(instruction.pulse, library.Waveform):
name = hashlib.sha256(instruction.pulse.samples).hexdigest()
instruction = instructions.Play(
library.Waveform(name=name, samples=instruction.pulse.samples),
channel=instruction.channel,
name=name,
)
user_pulselib[name] = instruction.pulse.samples
# ignore explicit delay instrs on acq channels as they are invalid on IBMQ backends;
# timing of other instrs will still be shifted appropriately
if isinstance(instruction, instructions.Delay) and isinstance(
instruction.channel, channels.AcquireChannel
):
continue
if isinstance(instruction, instructions.Acquire):
if instruction.mem_slot:
max_memory_slot = max(max_memory_slot, instruction.mem_slot.index)
# Acquires have a single AcquireChannel per inst, but we have to bundle them
# together into the Qobj as one instruction with many channels
acquire_instruction_map[(time, instruction.duration)].append(instruction)
continue
qobj_instructions.append(instruction_converter(time, instruction))
if acquire_instruction_map:
if hasattr(run_config, "meas_map"):
_validate_meas_map(acquire_instruction_map, run_config.meas_map)
for (time, _), instrs in acquire_instruction_map.items():
qobj_instructions.append(
instruction_converter.convert_bundled_acquires(time, instrs),
)
return qobj_instructions, max_memory_slot