test_selection.py

from unittest import skip, skipIf

import holoviews as hv
import pandas as pd

from holoviews.core.options import Cycle, Store
from holoviews.element import ErrorBars, Points, Rectangles, Table, VSpan
from holoviews.plotting.util import linear_gradient
from holoviews.selection import link_selections
from holoviews.streams import SelectionXY
from holoviews.element.comparison import ComparisonTestCase

try:
    from holoviews.operation.datashader import datashade, dynspread
except ImportError:
    datashade = None

ds_skip = skipIf(datashade is None, "Datashader not available")


unselected_color = "#ff0000"
box_region_color = linear_gradient(unselected_color, "#000000", 9)[3]
hist_region_color = linear_gradient(unselected_color, "#000000", 9)[1]

class TestLinkSelections(ComparisonTestCase):

    __test__ = False

    def setUp(self):
        self.data = pd.DataFrame(
            {'x': [1, 2, 3],
             'y': [0, 3, 2],
             'e': [1, 1.5, 2],
            },
            columns=['x', 'y', 'e']
        )

    def element_color(self, element):
        raise NotImplementedError

    def check_base_points_like(self, base_points, lnk_sel, data=None):
        if data is None:
            data = self.data

        self.assertEqual(
            self.element_color(base_points),
            lnk_sel.unselected_color
        )
        self.assertEqual(base_points.data, data)

    @staticmethod
    def get_value_with_key_type(d, hvtype):
        for k, v in d.items():
            if isinstance(k, hvtype) or \
                    isinstance(k, hv.DynamicMap) and k.type == hvtype:
                return v

        raise KeyError(f"No key with type {hvtype}")

    @staticmethod
    def expected_selection_color(element, lnk_sel):
        if lnk_sel.selected_color is not None:
            expected_color = lnk_sel.selected_color
        else:
            expected_color = element.opts.get(group='style')[0].get('color')
        return expected_color

    def check_overlay_points_like(self, overlay_points, lnk_sel, data):
        self.assertEqual(
            self.element_color(overlay_points),
            self.expected_selection_color(overlay_points, lnk_sel),
        )

        self.assertEqual(overlay_points.data, data)

    def test_points_selection(self, dynamic=False, show_regions=True):
        points = Points(self.data)
        if dynamic:
            # Convert points to DynamicMap that returns the element
            points = hv.util.Dynamic(points)

        lnk_sel = link_selections.instance(show_regions=show_regions,
                                           unselected_color='#ff0000')
        linked = lnk_sel(points)
        current_obj = linked[()]

        # Check initial state of linked dynamic map
        self.assertIsInstance(current_obj, hv.Overlay)
        unselected, selected, region, region2 = current_obj.values()

        # Check initial base layer
        self.check_base_points_like(unselected, lnk_sel)

        # Check selection layer
        self.check_overlay_points_like(selected, lnk_sel, self.data)

        # Perform selection of second and third point
        selectionxy = TestLinkSelections.get_value_with_key_type(
            lnk_sel._selection_expr_streams, hv.Points
        ).input_streams[0].input_stream.input_streams[0]

        self.assertIsInstance(selectionxy, hv.streams.SelectionXY)
        selectionxy.event(bounds=(0, 1, 5, 5))
        unselected, selected, region, region2 = linked[()].values()

        # Check that base layer is unchanged
        self.check_base_points_like(unselected, lnk_sel)

        # Check selection layer
        self.check_overlay_points_like(selected, lnk_sel, self.data.iloc[1:])

        if show_regions:
            self.assertEqual(region, Rectangles([(0, 1, 5, 5)]))
        else:
            self.assertEqual(region, Rectangles([]))

    def test_points_selection_hide_region(self):
        self.test_points_selection(show_regions=False)

    def test_points_selection_dynamic(self):
        self.test_points_selection(dynamic=True)

    def test_layout_selection_points_table(self):
        points = Points(self.data)
        table = Table(self.data)
        lnk_sel = link_selections.instance(
            selected_color="#aa0000", unselected_color='#ff0000'
        )
        linked = lnk_sel(points + table)

        current_obj = linked[()]

        # Check initial base points
        self.check_base_points_like(
            current_obj[0][()].Points.I,
            lnk_sel
        )

        # Check initial selection points
        self.check_overlay_points_like(current_obj[0][()].Points.II, lnk_sel,
                                        self.data)

        # Check initial table
        self.assertEqual(
            self.element_color(current_obj[1][()]),
            [lnk_sel.selected_color] * len(self.data)
        )

        # Select first and third point
        selectionxy = TestLinkSelections.get_value_with_key_type(
            lnk_sel._selection_expr_streams, hv.Points
        ).input_streams[0].input_stream.input_streams[0]

        selectionxy.event(bounds=(0, 0, 4, 2))
        current_obj = linked[()]

        # Check base points
        self.check_base_points_like(
            current_obj[0][()].Points.I,
            lnk_sel
        )

        # Check selection points
        self.check_overlay_points_like(current_obj[0][()].Points.II, lnk_sel,
                                        self.data.iloc[[0, 2]])

        # Check selected table
        self.assertEqual(
            self.element_color(current_obj[1][()]),
            [
                lnk_sel.selected_color,
                lnk_sel.unselected_color,
                lnk_sel.selected_color,
            ]
        )

    def test_overlay_points_errorbars(self, dynamic=False):
        points = Points(self.data)
        error = ErrorBars(self.data, kdims='x', vdims=['y', 'e'])
        lnk_sel = link_selections.instance(unselected_color='#ff0000')
        overlay = points * error

        if dynamic:
            overlay = hv.util.Dynamic(overlay)

        linked = lnk_sel(overlay)
        current_obj = linked[()]

        # Check initial base layers
        self.check_base_points_like(current_obj.Points.I, lnk_sel)
        self.check_base_points_like(current_obj.ErrorBars.I, lnk_sel)

        # Check initial selection layers
        self.check_overlay_points_like(current_obj.Points.II, lnk_sel, self.data)
        self.check_overlay_points_like(current_obj.ErrorBars.II, lnk_sel, self.data)

        # Select first and third point
        selectionxy = TestLinkSelections.get_value_with_key_type(
            lnk_sel._selection_expr_streams, hv.Points
        ).input_streams[0].input_stream.input_streams[0]
        selectionxy.event(bounds=(0, 0, 4, 2))

        current_obj = linked[()]

        # Check base layers haven't changed
        self.check_base_points_like(current_obj.Points.I, lnk_sel)
        self.check_base_points_like(current_obj.ErrorBars.I, lnk_sel)

        # Check selected layers
        self.check_overlay_points_like(current_obj.Points.II, lnk_sel,
                                        self.data.iloc[[0, 2]])
        self.check_overlay_points_like(current_obj.ErrorBars.II, lnk_sel,
                                        self.data.iloc[[0, 2]])

    @ds_skip
    def test_datashade_selection(self):
        points = Points(self.data)
        layout = points + dynspread(datashade(points))

        lnk_sel = link_selections.instance(unselected_color='#ff0000')
        linked = lnk_sel(layout)
        current_obj = linked[()]

        # Check base points layer
        self.check_base_points_like(current_obj[0][()].Points.I, lnk_sel)

        # Check selection layer
        self.check_overlay_points_like(current_obj[0][()].Points.II, lnk_sel, self.data)

        # Check RGB base layer
        self.assertEqual(
            current_obj[1][()].RGB.I,
            dynspread(
                datashade(points, cmap=lnk_sel.unselected_cmap, alpha=255)
            )[()]
        )

        # Check RGB selection layer
        self.assertEqual(
            current_obj[1][()].RGB.II,
            dynspread(
                datashade(points, cmap=lnk_sel.selected_cmap, alpha=255)
            )[()]
        )

        # Perform selection of second and third point
        selectionxy = TestLinkSelections.get_value_with_key_type(
            lnk_sel._selection_expr_streams, hv.Points
        ).input_streams[0].input_stream.input_streams[0]

        self.assertIsInstance(selectionxy, SelectionXY)
        selectionxy.event(bounds=(0, 1, 5, 5))
        current_obj = linked[()]

        # Check that base points layer is unchanged
        self.check_base_points_like(current_obj[0][()].Points.I, lnk_sel)

        # Check points selection layer
        self.check_overlay_points_like(current_obj[0][()].Points.II, lnk_sel,
                                        self.data.iloc[1:])

        # Check that base RGB layer is unchanged
        self.assertEqual(
            current_obj[1][()].RGB.I,
            dynspread(
                datashade(points, cmap=lnk_sel.unselected_cmap, alpha=255)
            )[()]
        )

        # Check selection RGB layer
        self.assertEqual(
            current_obj[1][()].RGB.II,
            dynspread(
                datashade(
                    points.iloc[1:], cmap=lnk_sel.selected_cmap, alpha=255
                )
            )[()]
        )

    @ds_skip
    def test_datashade_in_overlay_selection(self):
        points = Points(self.data)
        layout = points * dynspread(datashade(points))

        lnk_sel = link_selections.instance(unselected_color='#ff0000')
        linked = lnk_sel(layout)
        current_obj = linked[()]

        # Check base points layer
        self.check_base_points_like(current_obj[()].Points.I, lnk_sel)

        # Check selection layer
        self.check_overlay_points_like(current_obj[()].Points.II, lnk_sel, self.data)

        # Check RGB base layer
        self.assertEqual(
            current_obj[()].RGB.I,
            dynspread(
                datashade(points, cmap=lnk_sel.unselected_cmap, alpha=255)
            )[()]
        )

        # Check RGB selection layer
        self.assertEqual(
            current_obj[()].RGB.II,
            dynspread(
                datashade(points, cmap=lnk_sel.selected_cmap, alpha=255)
            )[()]
        )

        # Perform selection of second and third point
        selectionxy = TestLinkSelections.get_value_with_key_type(
            lnk_sel._selection_expr_streams, hv.Points
        ).input_streams[0].input_stream.input_streams[0]

        self.assertIsInstance(selectionxy, SelectionXY)
        selectionxy.event(bounds=(0, 1, 5, 5))
        current_obj = linked[()]

        # Check that base points layer is unchanged
        self.check_base_points_like(current_obj[()].Points.I, lnk_sel)

        # Check points selection layer
        self.check_overlay_points_like(current_obj[()].Points.II, lnk_sel,
                                       self.data.iloc[1:])

        # Check that base RGB layer is unchanged
        self.assertEqual(
            current_obj[()].RGB.I,
            dynspread(
                datashade(points, cmap=lnk_sel.unselected_cmap, alpha=255)
            )[()]
        )

        # Check selection RGB layer
        self.assertEqual(
            current_obj[()].RGB.II,
            dynspread(
                datashade(
                    points.iloc[1:], cmap=lnk_sel.selected_cmap, alpha=255
                )
            )[()]
        )

    def test_points_selection_streaming(self):
        buffer = hv.streams.Buffer(self.data.iloc[:2], index=False)
        points = hv.DynamicMap(Points, streams=[buffer])
        lnk_sel = link_selections.instance(unselected_color='#ff0000')
        linked = lnk_sel(points)

        # Perform selection of first and (future) third point
        selectionxy = TestLinkSelections.get_value_with_key_type(
            lnk_sel._selection_expr_streams, hv.Points
        ).input_streams[0].input_stream.input_streams[0]
        self.assertIsInstance(selectionxy, hv.streams.SelectionXY)
        selectionxy.event(bounds=(0, 0, 4, 2))
        current_obj = linked[()]

        # Check initial base layer
        self.check_base_points_like(
            current_obj.Points.I, lnk_sel, self.data.iloc[:2]
        )

        # Check selection layer
        self.check_overlay_points_like(current_obj.Points.II, lnk_sel,
                                        self.data.iloc[[0]])

        # Now stream third point to the DynamicMap
        buffer.send(self.data.iloc[[2]])
        current_obj = linked[()]

        # Check initial base layer
        self.check_base_points_like(
            current_obj.Points.I, lnk_sel, self.data
        )

        # Check selection layer
        self.check_overlay_points_like(current_obj.Points.II, lnk_sel,
                                        self.data.iloc[[0, 2]])

    def do_crossfilter_points_histogram(
            self, selection_mode, cross_filter_mode, selected1, selected2,
            selected3, selected4, points_region1, points_region2,
            points_region3, points_region4, hist_region2, hist_region3,
            hist_region4, show_regions=True, dynamic=False):
        points = Points(self.data)
        hist = points.hist('x', adjoin=False, normed=False, num_bins=5)

        if dynamic:
            # Convert points to DynamicMap that returns the element
            hist_orig = hist
            points = hv.util.Dynamic(points)
        else:
            hist_orig = hist

        lnk_sel = link_selections.instance(
            selection_mode=selection_mode,
            cross_filter_mode=cross_filter_mode,
            show_regions=show_regions,
            selected_color='#00ff00',
            unselected_color='#ff0000'
        )
        linked = lnk_sel(points + hist)
        current_obj = linked[()]

        # Check initial base points
        self.check_base_points_like(
            current_obj[0][()].Points.I,
            lnk_sel
        )

        # Check initial selection overlay points
        self.check_overlay_points_like(current_obj[0][()].Points.II, lnk_sel,
                                        self.data)

        # Initial region bounds all None
        self.assertEqual(len(current_obj[0][()].Curve.I), 0)

        # Check initial base histogram
        base_hist = current_obj[1][()].Histogram.I
        self.assertEqual(
            self.element_color(base_hist), lnk_sel.unselected_color
        )
        self.assertEqual(base_hist.data, hist_orig.data)

        # Check initial selection overlay Histogram
        selection_hist = current_obj[1][()].Histogram.II
        self.assertEqual(
            self.element_color(selection_hist),
            self.expected_selection_color(selection_hist, lnk_sel)
        )
        self.assertEqual(selection_hist, base_hist)

        # No selection region
        region_hist = current_obj[1][()].NdOverlay.I.last
        self.assertEqual(region_hist.data, [None, None])

        # (1) Perform selection on points of points [1, 2]
        points_selectionxy = TestLinkSelections.get_value_with_key_type(
            lnk_sel._selection_expr_streams, hv.Points
        ).input_streams[0].input_stream.input_streams[0]
        self.assertIsInstance(points_selectionxy, SelectionXY)
        points_selectionxy.event(bounds=(1, 1, 4, 4))

        # Get current object
        current_obj = linked[()]

        # Check base points unchanged
        self.check_base_points_like(
            current_obj[0][()].Points.I,
            lnk_sel
        )

        # Check points selection overlay
        self.check_overlay_points_like(current_obj[0][()].Points.II, lnk_sel,
                                       self.data.iloc[selected1])

        # Check points region bounds
        region_bounds = current_obj[0][()].Rectangles.I
        self.assertEqual(region_bounds, Rectangles(points_region1))

        if show_regions:
            self.assertEqual(
                self.element_color(region_bounds),
                box_region_color
            )

        # (2) Perform selection on histogram bars [0, 1]
        hist_selectionxy = TestLinkSelections.get_value_with_key_type(
            lnk_sel._selection_expr_streams, hv.Histogram
        ).input_streams[0].input_stream.input_streams[0]

        self.assertIsInstance(hist_selectionxy, SelectionXY)
        hist_selectionxy.event(bounds=(0, 0, 2.5, 2))

        points_unsel, points_sel, points_region, points_region_poly = current_obj[0][()].values()

        # Check points selection overlay
        self.check_overlay_points_like(points_sel, lnk_sel, self.data.iloc[selected2])

        self.assertEqual(points_region, Rectangles(points_region2))

        # Check base histogram unchanged
        base_hist, region_hist, sel_hist = current_obj[1][()].values()
        self.assertEqual(self.element_color(base_hist), lnk_sel.unselected_color)
        self.assertEqual(base_hist.data, hist_orig.data)

        # Check selection region covers first and second bar
        if show_regions:
            self.assertEqual(self.element_color(region_hist.last), hist_region_color)
        if not len(hist_region2) and lnk_sel.selection_mode != 'inverse':
            self.assertEqual(len(region_hist), 1)
        else:
            self.assertEqual(
                region_hist.last.data, [0, 2.5]
            )

        # Check histogram selection overlay
        self.assertEqual(
            self.element_color(sel_hist),
            self.expected_selection_color(sel_hist, lnk_sel)
        )
        self.assertEqual(
            sel_hist.data, hist_orig.pipeline(hist_orig.dataset.iloc[selected2]).data
        )

        # (3) Perform selection on points points [0, 2]
        points_selectionxy = TestLinkSelections.get_value_with_key_type(
            lnk_sel._selection_expr_streams, hv.Points
        ).input_streams[0].input_stream.input_streams[0]

        self.assertIsInstance(points_selectionxy, SelectionXY)
        points_selectionxy.event(bounds=(0, 0, 4, 2.5))

        # Check selection overlay points contains only second point
        self.check_overlay_points_like(current_obj[0][()].Points.II, lnk_sel,
                                        self.data.iloc[selected3])

        # Check points region bounds
        region_bounds = current_obj[0][()].Rectangles.I
        self.assertEqual(region_bounds, Rectangles(points_region3))

        # Check second and third histogram bars selected
        selection_hist = current_obj[1][()].Histogram.II
        self.assertEqual(
            selection_hist.data, hist_orig.pipeline(hist_orig.dataset.iloc[selected3]).data
        )

        # Check selection region covers first and second bar
        region_hist = current_obj[1][()].NdOverlay.I.last
        if not len(hist_region3) and lnk_sel.selection_mode != 'inverse':
            self.assertEqual(len(region_hist), 1)
        else:
            self.assertEqual(region_hist.data, [0, 2.5])

        # (4) Perform selection of bars [1, 2]
        hist_selectionxy = TestLinkSelections.get_value_with_key_type(
            lnk_sel._selection_expr_streams, hv.Histogram
        ).input_streams[0].input_stream.input_streams[0]

        self.assertIsInstance(hist_selectionxy, SelectionXY)
        hist_selectionxy.event(bounds=(1.5, 0, 3.5, 2))

        # Check points selection overlay
        self.check_overlay_points_like(current_obj[0][()].Points.II, lnk_sel,
                                       self.data.iloc[selected4])

        # Check points region bounds
        region_bounds = current_obj[0][()].Rectangles.I
        self.assertEqual(region_bounds, Rectangles(points_region4))

        # Check bar selection region
        region_hist = current_obj[1][()].NdOverlay.I.last
        if show_regions:
            self.assertEqual(
                self.element_color(region_hist), hist_region_color
            )
        if not len(hist_region4) and lnk_sel.selection_mode != 'inverse':
            self.assertEqual(len(region_hist), 1)
        elif (lnk_sel.cross_filter_mode != 'overwrite' and not
              (lnk_sel.cross_filter_mode == 'intersect' and lnk_sel.selection_mode == 'overwrite')):
            self.assertEqual(region_hist.data, [0, 3.5])
        else:
            self.assertEqual(region_hist.data, [1.5, 3.5])

        # Check bar selection overlay
        selection_hist = current_obj[1][()].Histogram.II
        self.assertEqual(
            self.element_color(selection_hist),
            self.expected_selection_color(selection_hist, lnk_sel)
        )
        self.assertEqual(
            selection_hist.data, hist_orig.pipeline(hist_orig.dataset.iloc[selected4]).data
        )

    #  cross_filter_mode="overwrite"
    def test_points_histogram_overwrite_overwrite(self, dynamic=False):
        self.do_crossfilter_points_histogram(
            selection_mode="overwrite", cross_filter_mode="overwrite",
            selected1=[1, 2], selected2=[0, 1], selected3=[0, 2], selected4=[1, 2],
            points_region1=[(1, 1, 4, 4)],
            points_region2=[],
            points_region3=[(0, 0, 4, 2.5)],
            points_region4=[],
            hist_region2=[0, 1], hist_region3=[], hist_region4=[1, 2],
            dynamic=dynamic
        )

    def test_points_histogram_overwrite_overwrite_dynamic(self):
        self.test_points_histogram_overwrite_overwrite(dynamic=True)

    def test_points_histogram_intersect_overwrite(self, dynamic=False):
        self.do_crossfilter_points_histogram(
            selection_mode="intersect", cross_filter_mode="overwrite",
            selected1=[1, 2], selected2=[0, 1], selected3=[0, 2], selected4=[1, 2],
            points_region1=[(1, 1, 4, 4)],
            points_region2=[],
            points_region3=[(0, 0, 4, 2.5)],
            points_region4=[],
            hist_region2=[0, 1], hist_region3=[], hist_region4=[1, 2],
            dynamic=dynamic
        )

    def test_points_histogram_intersect_overwrite_dynamic(self):
        self.test_points_histogram_intersect_overwrite(dynamic=True)

    def test_points_histogram_union_overwrite(self, dynamic=False):
        self.do_crossfilter_points_histogram(
            selection_mode="union", cross_filter_mode="overwrite",
            selected1=[1, 2], selected2=[0, 1], selected3=[0, 2], selected4=[1, 2],
            points_region1=[(1, 1, 4, 4)],
            points_region2=[],
            points_region3=[(0, 0, 4, 2.5)],
            points_region4=[],
            hist_region2=[0, 1], hist_region3=[], hist_region4=[1, 2],
            dynamic=dynamic
        )

    def test_points_histogram_union_overwrite_dynamic(self):
        self.test_points_histogram_union_overwrite(dynamic=True)

    #  cross_filter_mode="intersect"
    def test_points_histogram_overwrite_intersect(self, dynamic=False):
        self.do_crossfilter_points_histogram(
            selection_mode="overwrite", cross_filter_mode="intersect",
            selected1=[1, 2], selected2=[1], selected3=[0], selected4=[2],
            points_region1=[(1, 1, 4, 4)],
            points_region2=[(1, 1, 4, 4)],
            points_region3=[(0, 0, 4, 2.5)],
            points_region4=[(0, 0, 4, 2.5)],
            hist_region2=[0, 1], hist_region3=[0, 1], hist_region4=[1, 2],
            dynamic=dynamic
        )

    def test_points_histogram_overwrite_intersect_dynamic(self):
        self.test_points_histogram_overwrite_intersect(dynamic=True)

    def test_points_histogram_overwrite_intersect_hide_region(self, dynamic=False):
        self.do_crossfilter_points_histogram(
            selection_mode="overwrite", cross_filter_mode="intersect",
            selected1=[1, 2], selected2=[1], selected3=[0], selected4=[2],
            points_region1=[],
            points_region2=[],
            points_region3=[],
            points_region4=[],
            hist_region2=[], hist_region3=[], hist_region4=[],
            show_regions=False, dynamic=dynamic
        )

    def test_points_histogram_overwrite_intersect_hide_region_dynamic(self):
        self.test_points_histogram_overwrite_intersect_hide_region(dynamic=True)

    def test_points_histogram_intersect_intersect(self, dynamic=False):
        self.do_crossfilter_points_histogram(
            selection_mode="intersect", cross_filter_mode="intersect",
            selected1=[1, 2], selected2=[1], selected3=[], selected4=[],
            points_region1=[(1, 1, 4, 4)],
            points_region2=[(1, 1, 4, 4)],
            points_region3=[(1, 1, 4, 4), (0, 0, 4, 2.5)],
            points_region4=[(1, 1, 4, 4), (0, 0, 4, 2.5)],
            hist_region2=[0, 1], hist_region3=[0, 1], hist_region4=[1],
            dynamic=dynamic
        )

    def test_points_histogram_intersect_intersect_dynamic(self):
        self.test_points_histogram_intersect_intersect(dynamic=True)

    def test_points_histogram_union_intersect(self, dynamic=False):
        self.do_crossfilter_points_histogram(
            selection_mode="union", cross_filter_mode="intersect",
            selected1=[1, 2], selected2=[1], selected3=[0, 1], selected4=[0, 1, 2],
            points_region1=[(1, 1, 4, 4)],
            points_region2=[(1, 1, 4, 4)],
            points_region3=[(1, 1, 4, 4), (0, 0, 4, 2.5)],
            points_region4=[(1, 1, 4, 4), (0, 0, 4, 2.5)],
            hist_region2=[0, 1], hist_region3=[0, 1], hist_region4=[0, 1, 2],
            dynamic=dynamic
        )

    def test_points_histogram_union_intersect_dynamic(self):
        self.test_points_histogram_union_intersect(dynamic=True)

    def test_points_histogram_inverse_intersect(self, dynamic=False):
        self.do_crossfilter_points_histogram(
            selection_mode="inverse", cross_filter_mode="intersect",
            selected1=[0], selected2=[], selected3=[], selected4=[],
            points_region1=[(1, 1, 4, 4)],
            points_region2=[(1, 1, 4, 4)],
            points_region3=[(1, 1, 4, 4), (0, 0, 4, 2.5)],
            points_region4=[(1, 1, 4, 4), (0, 0, 4, 2.5)],
            hist_region2=[], hist_region3=[], hist_region4=[],
            dynamic=dynamic
        )

    def test_points_histogram_inverse_intersect_dynamic(self):
        self.test_points_histogram_inverse_intersect(dynamic=True)


# Backend implementations
class TestLinkSelectionsPlotly(TestLinkSelections):

    __test__ = True

    def setUp(self):
        import holoviews.plotting.plotly # noqa
        super().setUp()
        self._backend = Store.current_backend
        Store.set_current_backend('plotly')

    def tearDown(self):
        Store.current_backend = self._backend

    def element_color(self, element, color_prop=None):

        if isinstance(element, Table):
            color = element.opts.get('style').kwargs['fill']
        elif isinstance(element, (Rectangles, VSpan)):
            color = element.opts.get('style').kwargs['line_color']
        else:
            color = element.opts.get('style').kwargs['color']

        if isinstance(color, (Cycle, str)):
            return color
        else:
            return list(color)


class TestLinkSelectionsBokeh(TestLinkSelections):

    __test__ = True

    def setUp(self):
        import holoviews.plotting.bokeh # noqa
        super().setUp()
        self._backend = Store.current_backend
        Store.set_current_backend('bokeh')

    def tearDown(self):
        Store.current_backend = self._backend

    def element_color(self, element):
        color = element.opts.get('style').kwargs['color']

        if isinstance(color, str):
            return color
        else:
            return list(color)

    @skip("Coloring Bokeh table not yet supported")
    def test_layout_selection_points_table(self):
        pass

    @skip("Bokeh ErrorBars selection not yet supported")
    def test_overlay_points_errorbars(self):
        pass

    @skip("Bokeh ErrorBars selection not yet supported")
    def test_overlay_points_errorbars_dynamic(self):
        pass