schedule#

Schedule helper functions.

Module Contents#

Functions#

`get_pulse_uuid`(→ int)	Return an unique identifier for a pulse.
`get_acq_uuid`(→ int)	Return an unique identifier for a acquisition protocol.
`get_total_duration`(→ float)	Return the total schedule duration in seconds.
`get_operation_start`(→ float)	Return the start of an operation in seconds.
`get_operation_end`(→ float)	Return the end of an operation in seconds.
`get_port_timeline`(→ dict[str, dict[int, list[int]]])	Return a new dictionary containing the port timeline.
`get_schedule_time_offset`(→ float)	Return the start time in seconds of the first pulse in the CompiledSchedule.
`get_pulse_info_by_uuid`(→ dict[int, dict[str, Any]])	Return a lookup dictionary of pulses with its hash as unique identifiers.
`get_acq_info_by_uuid`(→ dict[int, dict[str, Any]])	Return a lookup dictionary of unique identifiers of acquisition information.
`extract_acquisition_metadata_from_schedule`(...)	Extract acquisition metadata from a schedule.
`extract_acquisition_metadata_from_acquisition_protocols`(...)	Private function containing the logic of extract_acquisition_metadata_from_schedule.
`_extract_port_clocks_used`(→ set[tuple])	Extracts which port-clock combinations are used in an operation or schedule.

get_pulse_uuid(pulse_info: dict[str, Any], excludes: list[str] = None) → int[source]#

Return an unique identifier for a pulse.

Parameters:

pulse_info – The pulse information dictionary.
excludes – A list of keys to exclude.

Returns:

The uuid hash.

get_acq_uuid(acq_info: dict[str, Any]) → int[source]#

Return an unique identifier for a acquisition protocol.

Parameters:: acq_info – The acquisition information dictionary.
Returns:: The uuid hash.

get_total_duration(schedule: quantify_scheduler.schedules.schedule.ScheduleBase) → float[source]#

Return the total schedule duration in seconds.

Parameters:: schedule – The schedule.
Returns:: Duration in seconds.

get_operation_start(schedule: quantify_scheduler.schedules.schedule.CompiledSchedule, timeslot_index: int) → float[source]#

Return the start of an operation in seconds.

Parameters:

schedule – The schedule
timeslot_index – The index of the operation in the schedule.

Returns:

The Operation start time in Seconds.

get_operation_end(schedule: quantify_scheduler.schedules.schedule.ScheduleBase, timeslot_index: int) → float[source]#

Return the end of an operation in seconds.

Parameters:

schedule – The schedule
timeslot_index – The index of the operation in the schedule.

Returns:

The Operation end time in Seconds.

get_port_timeline(schedule: quantify_scheduler.schedules.schedule.CompiledSchedule) → dict[str, dict[int, list[int]]][source]#

Return a new dictionary containing the port timeline.

Using iterators on this collection enables sorting.

print(port_timeline_dict)
# { {'q0:mw', {0, [123456789]}},
# ... }

# Sorted items.
print(port_timeline_dict.items())

Parameters:: schedule – The schedule.

get_schedule_time_offset(schedule: quantify_scheduler.schedules.schedule.CompiledSchedule, port_timeline_dict: dict[str, dict[int, list[int]]]) → float[source]#

Return the start time in seconds of the first pulse in the CompiledSchedule.

The “None” port containing the Reset Operation will be ignored.

Parameters:

schedule – The schedule.
port_timeline_dict – Dictionary containing port timelines.

Returns:

The operation t0 in seconds.

get_pulse_info_by_uuid(schedule: quantify_scheduler.schedules.schedule.CompiledSchedule) → dict[int, dict[str, Any]][source]#

Return a lookup dictionary of pulses with its hash as unique identifiers.

Parameters:: schedule – The schedule.

get_acq_info_by_uuid(schedule: quantify_scheduler.schedules.schedule.CompiledSchedule) → dict[int, dict[str, Any]][source]#

Return a lookup dictionary of unique identifiers of acquisition information.

Parameters:: schedule – The schedule.

extract_acquisition_metadata_from_schedule(schedule: quantify_scheduler.schedules.schedule.Schedule) → quantify_scheduler.schedules.schedule.AcquisitionMetadata[source]#

Extract acquisition metadata from a schedule.

This function operates under certain assumptions with respect to the schedule.

The acquisition_metadata should be sufficient to initialize the xarray dataset (described in quantify-core !212) that executing the schedule will result in.
All measurements in the schedule use the same acquisition protocol.
The used acquisition index channel combinations for each measurement are unique.
The used acquisition indices for each channel are the same.
When BinMode is APPEND The number of data points per acquisition index assumed to be given by the schedule’s repetition property. This implies no support for feedback (conditional measurements).

Parameters:: schedule – schedule containing measurements from which acquisition metadata can be extracted.
Returns:: The acquisition metadata provides a summary of the acquisition protocol, bin-mode, return-type and acquisition indices of the acquisitions in the schedule.
Raises:: AssertionError – If not all acquisition protocols in a schedule are the same. If not all acquisitions use the same bin_mode. If the return type of the acquisitions is different.

extract_acquisition_metadata_from_acquisition_protocols(acquisition_protocols: list[dict[str, Any]], repetitions: int) → quantify_scheduler.schedules.schedule.AcquisitionMetadata[source]#

Private function containing the logic of extract_acquisition_metadata_from_schedule.

The logic is factored out as to work around limitations of the different interfaces required.

Parameters:

acquisition_protocols – A list of acquisition protocols.
repetitions – How many times the acquisition was repeated.

_extract_port_clocks_used(operation: quantify_scheduler.operations.operation.Operation | quantify_scheduler.schedules.schedule.Schedule) → set[tuple][source]#: Extracts which port-clock combinations are used in an operation or schedule.