Source code for qcodes.dataset.dond.do_2d

from __future__ import annotations

import logging
import sys
import time
from typing import TYPE_CHECKING, cast

import numpy as np
from opentelemetry import trace
from tqdm.auto import tqdm

from qcodes import config
from qcodes.dataset.descriptions.detect_shapes import detect_shape_of_measurement
from qcodes.dataset.dond.do_nd_utils import (
    BreakConditionInterrupt,
    _handle_plotting,
    _register_actions,
    _register_parameters,
    _set_write_period,
    catch_interrupts,
)
from qcodes.dataset.measurements import Measurement
from qcodes.dataset.threading import (
    SequentialParamsCaller,
    ThreadPoolParamsCaller,
    process_params_meas,
)
from qcodes.parameters import ParameterBase

LOG = logging.getLogger(__name__)
TRACER = trace.get_tracer(__name__)


if TYPE_CHECKING:
    from collections.abc import Sequence

    from qcodes.dataset.descriptions.versioning.rundescribertypes import Shapes
    from qcodes.dataset.dond.do_nd_utils import (
        ActionsT,
        AxesTupleListWithDataSet,
        BreakConditionT,
        ParamMeasT,
    )
    from qcodes.dataset.experiment_container import Experiment


[docs] @TRACER.start_as_current_span("qcodes.dataset.do2d") def do2d( param_set1: ParameterBase, start1: float, stop1: float, num_points1: int, delay1: float, param_set2: ParameterBase, start2: float, stop2: float, num_points2: int, delay2: float, *param_meas: ParamMeasT, set_before_sweep: bool | None = True, enter_actions: ActionsT = (), exit_actions: ActionsT = (), before_inner_actions: ActionsT = (), after_inner_actions: ActionsT = (), write_period: float | None = None, measurement_name: str = "", exp: Experiment | None = None, flush_columns: bool = False, do_plot: bool | None = None, use_threads: bool | None = None, additional_setpoints: Sequence[ParameterBase] = tuple(), show_progress: bool | None = None, log_info: str | None = None, break_condition: BreakConditionT | None = None, ) -> AxesTupleListWithDataSet: """ Perform a 1D scan of ``param_set1`` from ``start1`` to ``stop1`` in ``num_points1`` and ``param_set2`` from ``start2`` to ``stop2`` in ``num_points2`` measuring param_meas at each step. Args: param_set1: The QCoDeS parameter to sweep over in the outer loop start1: Starting point of sweep in outer loop stop1: End point of sweep in the outer loop num_points1: Number of points to measure in the outer loop delay1: Delay after setting parameter in the outer loop param_set2: The QCoDeS parameter to sweep over in the inner loop start2: Starting point of sweep in inner loop stop2: End point of sweep in the inner loop num_points2: Number of points to measure in the inner loop delay2: Delay after setting parameter before measurement is performed param_meas: Parameter(s) to measure at each step or functions that will be called at each step. The function should take no arguments. The parameters and functions are called in the order they are supplied. set_before_sweep: if True the outer parameter is set to its first value before the inner parameter is swept to its next value. enter_actions: A list of functions taking no arguments that will be called before the measurements start exit_actions: A list of functions taking no arguments that will be called after the measurements ends before_inner_actions: Actions executed before each run of the inner loop after_inner_actions: Actions executed after each run of the inner loop write_period: The time after which the data is actually written to the database. measurement_name: Name of the measurement. This will be passed down to the dataset produced by the measurement. If not given, a default value of 'results' is used for the dataset. exp: The experiment to use for this measurement. flush_columns: The data is written after a column is finished independent of the passed time and write period. additional_setpoints: A list of setpoint parameters to be registered in the measurement but not scanned. do_plot: should png and pdf versions of the images be saved after the run. If None the setting will be read from ``qcodesrc.json`` use_threads: If True measurements from each instrument will be done on separate threads. If you are measuring from several instruments this may give a significant speedup. show_progress: should a progress bar be displayed during the measurement. If None the setting will be read from ``qcodesrc.json`` log_info: Message that is logged during the measurement. If None a default message is used. break_condition: Callable that takes no arguments. If returned True, measurement is interrupted. Returns: The QCoDeS dataset. """ if do_plot is None: do_plot = cast(bool, config.dataset.dond_plot) if show_progress is None: show_progress = config.dataset.dond_show_progress meas = Measurement(name=measurement_name, exp=exp) if log_info is not None: meas._extra_log_info = log_info else: meas._extra_log_info = "Using 'qcodes.dataset.do2d'" all_setpoint_params = ( param_set1, param_set2, ) + tuple(s for s in additional_setpoints) measured_parameters = tuple( param for param in param_meas if isinstance(param, ParameterBase) ) try: loop_shape = (num_points1, num_points2) + tuple(1 for _ in additional_setpoints) shapes: Shapes | None = detect_shape_of_measurement( measured_parameters, loop_shape ) except TypeError: LOG.exception( f"Could not detect shape of {measured_parameters} " f"falling back to unknown shape." ) shapes = None _register_parameters(meas, all_setpoint_params) _register_parameters(meas, param_meas, setpoints=all_setpoint_params, shapes=shapes) _set_write_period(meas, write_period) _register_actions(meas, enter_actions, exit_actions) if use_threads is None: use_threads = config.dataset.use_threads param_meas_caller = ( ThreadPoolParamsCaller(*param_meas) if use_threads else SequentialParamsCaller(*param_meas) ) with ( catch_interrupts() as interrupted, meas.run() as datasaver, param_meas_caller as call_param_meas, ): dataset = datasaver.dataset additional_setpoints_data = process_params_meas(additional_setpoints) setpoints1 = np.linspace(start1, stop1, num_points1) for set_point1 in tqdm(setpoints1, disable=not show_progress): if set_before_sweep: param_set2.set(start2) param_set1.set(set_point1) for action in before_inner_actions: action() time.sleep(delay1) setpoints2 = np.linspace(start2, stop2, num_points2) # flush to prevent unflushed print's to visually interrupt tqdm bar # updates sys.stdout.flush() sys.stderr.flush() for set_point2 in tqdm(setpoints2, disable=not show_progress, leave=False): # skip first inner set point if `set_before_sweep` if set_point2 == start2 and set_before_sweep: pass else: param_set2.set(set_point2) time.sleep(delay2) datasaver.add_result( (param_set1, set_point1), (param_set2, set_point2), *call_param_meas(), *additional_setpoints_data, ) if callable(break_condition): if break_condition(): raise BreakConditionInterrupt("Break condition was met.") for action in after_inner_actions: action() if flush_columns: datasaver.flush_data_to_database() return _handle_plotting(dataset, do_plot, interrupted())