KaneAI - World’s First E2E Software Testing Agent.Book a Demo Join TestMu Conference

How to use _display_extra method in avocado

Best Python code snippet using avocado_python

scan_info_helper.py

Source:scan_info_helper.py

...504    plotselect: Optional[List[str]]505    """List of name selected by plot select"""506    plotselect_time: Optional[int]507    """Time from `time.time()` of the last plotselect"""508def parse_display_extra(scan_info: Dict) -> DisplayExtra:509    """Return the list of the displayed channels stored in the scan"""510    def parse_optional_list_of_string(data, name):511        """Sanitize data from scan_info protocol"""512        if data is None:513            return None514        if not isinstance(data, list):515            _logger.warning("%s is not a list: Key ignored", name)516            return None517        if not all([isinstance(i, str) for i in data]):518            _logger.warning("%s must only contains strings: Key ignored", name)519            return None520        return data521    display_extra = scan_info.get("_display_extra", None)522    if display_extra is not None:523        raw = display_extra.get("displayed_channels", None)524        displayed_channels = parse_optional_list_of_string(525            raw, "_display_extra.displayed_channels"526        )527        raw = display_extra.get("plotselect", None)528        plotselect = parse_optional_list_of_string(raw, "_display_extra.plotselect")529        plotselect_time = display_extra.get("plotselect_time", None)530    else:531        displayed_channels = None532        plotselect = None533        plotselect_time = None534    return DisplayExtra(displayed_channels, plotselect, plotselect_time)535def removed_same_plots(plots, remove_plots) -> List[plot_model.Plot]:536    """Returns plots from an initial list of `plots` in which same plots was537    removed."""538    if remove_plots == []:539        return list(plots)540    result = []541    for p in plots:542        for p2 in remove_plots:543            if p.hasSameTarget(p2):544                break545        else:546            result.append(p)547            continue548    return result549def create_plot_model(550    scan_info: Dict, scan: Optional[scan_model.Scan] = None551) -> List[plot_model.Plot]:552    """Create plot models from a scan_info.553    If a `plots` key exists from the `scan_info`, scatter and curve plots will554    created following this description. Else, plots will be inferred from the555    acquisition chain.556    Finally the selection is updated using `_display_extra` field. This should557    be removed a one point.558    Special kind of plots depending on devices and data kind, like Lima, MCAs559    and 1D data will always be inferred.560    """561    if scan is None:562        scan = create_scan_model(scan_info)563    if "plots" in scan_info:564        plots = read_plot_models(scan_info)565        for plot in plots:566            _select_default_counter(scan, plot)567        def contains_default_plot_kind(plots, plot):568            """Returns true if the list contain a default plot for this kind."""569            for p in plots:570                if p.hasSameTarget(plot):571                    return True572            return False573        aq_plots = infer_plot_models(scan)574        for plot in aq_plots:575            if isinstance(576                plot, (plot_item_model.CurvePlot, plot_item_model.ScatterPlot)577            ):578                # This kind of plots are already constrained by the `plots` key579                continue580            if not contains_default_plot_kind(plots, plot):581                plots.append(plot)582    else:583        plots = infer_plot_models(scan)584    def filter_with_scan_content(channel_names, scan):585        if scan is None:586            return channel_names587        if channel_names is None:588            return channel_names589        # Filter selection by available channels590        intersection = set(channel_names) & set(scan.getChannelNames())591        if len(channel_names) != len(intersection):592            # Remove missing without breaking the order593            for name in list(channel_names):594                if name not in intersection:595                    channel_names.remove(name)596                    _logger.warning(597                        "Skip display of channel '%s' from scan_info. Not part of the scan",598                        name,599                    )600            if len(channel_names) == 0:601                channel_names = None602        return channel_names603    display_extra = parse_display_extra(scan_info)604    displayed_channels = filter_with_scan_content(605        display_extra.displayed_channels, scan606    )607    for plot in plots:608        channel_names = None609        if isinstance(plot, plot_item_model.CurvePlot):610            if displayed_channels is None:611                channel_names = filter_with_scan_content(display_extra.plotselect, scan)612            else:613                channel_names = displayed_channels614        elif isinstance(plot, plot_item_model.ScatterPlot):615            if displayed_channels:616                channel_names = displayed_channels617        if channel_names:...

test_manager.py

Source:test_manager.py

1"""Testing manager module."""2import copy3from bliss.flint.manager.manager import ManageMainBehaviours4from bliss.flint.model import flint_model5from bliss.flint.model import plot_item_model6from bliss.flint.widgets.curve_plot import CurvePlotWidget7from bliss.flint.helper import scan_info_helper8from bliss.flint.helper import model_helper9from tests.qt.flint.factory import ScanInfoFactory10def _create_loopscan_scan_info():11    factory = ScanInfoFactory()12    factory.add_device(root_id="timer", device_id="timer")13    factory.add_channel(channel_id="timer:elapsed_time", dim=0, unit="s")14    factory.add_channel(channel_id="timer:epoch", dim=0, unit="s")15    factory.add_device(root_id="timer", device_id="diode", triggered_by="timer")16    factory.add_channel(channel_id="diode:diode1", dim=0)17    factory.add_channel(channel_id="diode:diode2", dim=0)18    factory["type"] = "loopscan"19    return factory.scan_info()20def _create_ascan_scan_info(master_name, extra_name=None):21    factory = ScanInfoFactory()22    factory.add_device(root_id="ascan", device_id="master")23    factory.add_channel(channel_id=master_name, device_id="master", dim=0)24    factory.add_device(root_id="ascan", device_id="slave", triggered_by="master")25    factory.add_channel(26        channel_id="timer:elapsed_time", device_id="slave", dim=0, unit="s"27    )28    factory.add_channel(channel_id="timer:epoch", device_id="slave", dim=0, unit="s")29    factory.add_channel(channel_id="diode:diode1", device_id="slave", dim=0)30    factory.add_channel(channel_id="diode:diode2", device_id="slave", dim=0)31    if extra_name is not None:32        factory.add_channel(channel_id=extra_name, device_id="master", dim=0)33    factory["type"] = "ascan"34    return factory.scan_info()35def _create_lima_scan_info(include_roi2):36    """37    Simulate a scan containing a lima detector with ROIs.38    """39    factory = ScanInfoFactory()40    factory.add_device(root_id="timer", device_id="timer")41    factory.add_channel(channel_id="timer:elapsed_time", dim=0)42    factory.add_channel(channel_id="timer:epoch", dim=0)43    rois = {"roi1": {"kind": "rect", "x": 190, "y": 110, "width": 600, "height": 230}}44    if include_roi2:45        rois["roi2"] = {46            "kind": "arc",47            "cx": 487.0,48            "cy": 513.0,49            "r1": 137.0,50            "r2": 198.0,51            "a1": -172.0,52            "a2": -300.0,53        }54    factory.add_lima_device(55        device_id="beamviewer",56        root_id="timer",57        triggered_by="timer",58        image=True,59        rois=rois,60    )61    factory.add_channel(channel_id="beamviewer:roi_counters:roi1_sum", dim=0)62    if include_roi2:63        factory.add_channel(channel_id="beamviewer:roi_counters:roi2_sum", dim=0)64    scan_info = factory.scan_info()65    return scan_info66def test_curve_plot__from_loopscan_to_ascan(local_flint):67    """68    Test plot state with consecutive scans69    - Create a loopscan -> elapsed_time should be the axis70    - Then create a ascan -> the motor should be the axis71    """72    flint = flint_model.FlintState()73    workspace = flint_model.Workspace()74    flint.setWorkspace(workspace)75    widget = CurvePlotWidget()76    workspace.addWidget(widget)77    manager = ManageMainBehaviours()78    manager.setFlintModel(flint)79    loopscan_info = _create_loopscan_scan_info()80    scan = scan_info_helper.create_scan_model(loopscan_info)81    plots = scan_info_helper.create_plot_model(loopscan_info, scan)82    manager.updateScanAndPlots(scan, plots)83    ascan_info = _create_ascan_scan_info("axis:sx")84    scan = scan_info_helper.create_scan_model(ascan_info)85    plots = scan_info_helper.create_plot_model(ascan_info, scan)86    manager.updateScanAndPlots(scan, plots)87    model = widget.plotModel()88    item = model.items()[0]89    assert item.xChannel().name() == "axis:sx"90def test_curve_plot__user_selection(local_flint):91    """92    Test plot state with consecutive scans and a user selection in between93    We expect the user selection to be restored94    """95    flint = flint_model.FlintState()96    workspace = flint_model.Workspace()97    flint.setWorkspace(workspace)98    widget = CurvePlotWidget()99    workspace.addWidget(widget)100    manager = ManageMainBehaviours()101    manager.setFlintModel(flint)102    loopscan_info = _create_loopscan_scan_info()103    scan = scan_info_helper.create_scan_model(loopscan_info)104    plots = scan_info_helper.create_plot_model(loopscan_info, scan)105    plot = [p for p in plots if isinstance(p, plot_item_model.CurvePlot)][0]106    manager.updateWidgetWithPlot(widget, scan, plot, useDefaultPlot=False)107    model = widget.plotModel()108    assert len(model.items()) == 1109    # user selection110    model_helper.updateDisplayedChannelNames(111        plot, scan, ["diode:diode1", "diode:diode2"]112    )113    plot.tagUserEditTime()114    ascan_info = _create_ascan_scan_info("axis:sx")115    scan = scan_info_helper.create_scan_model(ascan_info)116    plots = scan_info_helper.create_plot_model(ascan_info, scan)117    plot = [p for p in plots if isinstance(p, plot_item_model.CurvePlot)][0]118    manager.updateWidgetWithPlot(widget, scan, plot, useDefaultPlot=False)119    model = widget.plotModel()120    assert len(model.items()) == 2121def test_curve_plot__ascan_axis_updated(local_flint):122    """123    Test plot state with consecutive scans124    - Create a ascan -> sx should be the axis125    - Then create a ascan -> sy should be the axis126    """127    flint = flint_model.FlintState()128    workspace = flint_model.Workspace()129    flint.setWorkspace(workspace)130    widget = CurvePlotWidget()131    workspace.addWidget(widget)132    manager = ManageMainBehaviours()133    manager.setFlintModel(flint)134    ascan_info = _create_ascan_scan_info("axis:sx", "axis:sy")135    scan = scan_info_helper.create_scan_model(ascan_info)136    plots = scan_info_helper.create_plot_model(ascan_info, scan)137    manager.updateScanAndPlots(scan, plots)138    model = widget.plotModel()139    item = model.items()[0]140    assert item.xChannel().name() == "axis:sx"141    ascan_info = _create_ascan_scan_info("axis:sy", "axis:sx")142    scan = scan_info_helper.create_scan_model(ascan_info)143    plots = scan_info_helper.create_plot_model(ascan_info, scan)144    manager.updateScanAndPlots(scan, plots)145    model = widget.plotModel()146    item = model.items()[0]147    assert item.xChannel().name() == "axis:sy"148def test_curve_plot__enforced_channel_from_scan_info(local_flint):149    """150    Test a new plot with enforced channel (plotinit)151    We expect the channel from the scan_info to be used,152    anyway the user selection was done on the previous plot153    """154    flint = flint_model.FlintState()155    workspace = flint_model.Workspace()156    flint.setWorkspace(workspace)157    widget = CurvePlotWidget()158    workspace.addWidget(widget)159    manager = ManageMainBehaviours()160    manager.setFlintModel(flint)161    ascan_info = _create_ascan_scan_info("axis:sx", "axis:sy")162    scan = scan_info_helper.create_scan_model(ascan_info)163    plots = scan_info_helper.create_plot_model(ascan_info, scan)164    manager.updateScanAndPlots(scan, plots)165    enforced_channel = "axis:sy"166    # Enforce a user selection167    plotModel = widget.plotModel()168    plotModel.tagUserEditTime()169    item = plotModel.items()[0]170    # Make sure the following test have meaning171    assert item.yChannel().name() != enforced_channel172    ascan_info = _create_ascan_scan_info("axis:sy", "axis:sx")173    ascan_info["_display_extra"] = {"displayed_channels": [enforced_channel]}174    scan = scan_info_helper.create_scan_model(ascan_info)175    plots = scan_info_helper.create_plot_model(ascan_info, scan)176    manager.updateScanAndPlots(scan, plots)177    plotModel = widget.plotModel()178    item = plotModel.items()[0]179    assert item.yChannel().name() == enforced_channel180def test_image_plot_with_new_roi(local_flint):181    """Test the resulted image plot when a new ROI is part of the scan.182    We expect:183    - The previous ROI to still use the same config184    - The new ROI to be displayed.185    """186    flint = flint_model.FlintState()187    workspace = flint_model.Workspace()188    flint.setWorkspace(workspace)189    widget = CurvePlotWidget()190    workspace.addWidget(widget)191    manager = ManageMainBehaviours()192    manager.setFlintModel(flint)193    scan_info1 = _create_lima_scan_info(include_roi2=False)194    scan = scan_info_helper.create_scan_model(scan_info1)195    plots = scan_info_helper.create_plot_model(scan_info1, scan)196    plot = [p for p in plots if isinstance(p, plot_item_model.ImagePlot)][0]197    manager.updateWidgetWithPlot(widget, scan, plot, useDefaultPlot=True)198    plotModel = widget.plotModel()199    assert len(plotModel.items()) == 2  # image + ROI200    roiItem = [i for i in plotModel.items() if isinstance(i, plot_item_model.RoiItem)][201        0202    ]203    roiItem.setVisible(False)204    scan_info2 = _create_lima_scan_info(include_roi2=True)205    scan = scan_info_helper.create_scan_model(scan_info2)206    plots = scan_info_helper.create_plot_model(scan_info2, scan)207    plot = [p for p in plots if isinstance(p, plot_item_model.ImagePlot)][0]208    manager.updateWidgetWithPlot(widget, scan, plot, useDefaultPlot=True)209    plotModel = widget.plotModel()210    assert len(plotModel.items()) == 3  # image + ROI * 2211    roiItems = [i for i in plotModel.items() if isinstance(i, plot_item_model.RoiItem)]212    rois = {r.name(): r.isVisible() for r in roiItems}...

list.py

Source:list.py

...63        # for this:64        matrix = self._prepare_matrix_for_display(matrix, verbose)65        for line in iter_tabular_output(matrix, header=header, strip=True):66            LOG_UI.debug(line)67        self._display_extra(suite, verbose)68    @staticmethod69    def _display_extra(suite, verbose=True):70        """Display extra data when in verbose mode."""71        if not verbose:72            return73        if suite.resolutions:74            resolution_header = (75                TERM_SUPPORT.header_str("Resolver"),76                TERM_SUPPORT.header_str("Reference"),77                TERM_SUPPORT.header_str("Info"),78            )79            LOG_UI.info("")80            mapping = {81                ReferenceResolutionResult.SUCCESS: TERM_SUPPORT.healthy_str,82                ReferenceResolutionResult.NOTFOUND: TERM_SUPPORT.fail_header_str,83                ReferenceResolutionResult.ERROR: TERM_SUPPORT.fail_header_str,...

Automation Testing Tutorials

Learn to execute automation testing from scratch with LambdaTest Learning Hub. Right from setting up the prerequisites to run your first automation test, to following best practices and diving deeper into advanced test scenarios. LambdaTest Learning Hubs compile a list of step-by-step guides to help you be proficient with different test automation frameworks i.e. Selenium, Cypress, TestNG etc.