import numpy as np
import pytest

from holoviews import Dimension, NdOverlay, Overlay
from holoviews.core.options import Cycle
from holoviews.core.spaces import DynamicMap, HoloMap
from holoviews.element import (
    Area,
    Curve,
    HLine,
    Image,
    Path,
    Points,
    Scatter,
    VectorField,
)
from holoviews.element.comparison import ComparisonTestCase
from holoviews.operation import operation
from holoviews.plotting.util import (
    _get_min_distance_numpy,
    bokeh_palette_to_palette,
    color_intervals,
    compute_overlayable_zorders,
    get_axis_padding,
    get_min_distance,
    get_range,
    initialize_dynamic,
    mplcmap_to_palette,
    process_cmap,
    split_dmap_overlay,
)
from holoviews.streams import PointerX


class TestOverlayableZorders(ComparisonTestCase):

    def test_compute_overlayable_zorders_holomap(self):
        hmap = HoloMap({0: Points([])})
        sources = compute_overlayable_zorders(hmap)
        self.assertEqual(sources[0], [hmap, hmap.last])

    def test_compute_overlayable_zorders_with_overlaid_holomap(self):
        points = Points([])
        hmap = HoloMap({0: points})
        curve = Curve([])
        combined = hmap*curve
        sources = compute_overlayable_zorders(combined)
        self.assertEqual(sources[0], [points, combined.last, combined])

    def test_dynamic_compute_overlayable_zorders_two_mixed_layers(self):
        area = Area(range(10))
        dmap = DynamicMap(lambda: Curve(range(10)), kdims=[])
        combined = area*dmap
        combined[()]
        sources = compute_overlayable_zorders(combined)
        self.assertEqual(sources[0], [area])
        self.assertEqual(sources[1], [dmap])

    def test_dynamic_compute_overlayable_zorders_two_mixed_layers_reverse(self):
        area = Area(range(10))
        dmap = DynamicMap(lambda: Curve(range(10)), kdims=[])
        combined = dmap*area
        combined[()]
        sources = compute_overlayable_zorders(combined)
        self.assertEqual(sources[0], [dmap])
        self.assertEqual(sources[1], [area])

    def test_dynamic_compute_overlayable_zorders_two_dynamic_layers(self):
        area = DynamicMap(lambda: Area(range(10)), kdims=[])
        dmap = DynamicMap(lambda: Curve(range(10)), kdims=[])
        combined = area*dmap
        combined[()]
        sources = compute_overlayable_zorders(combined)
        self.assertEqual(sources[0], [area])
        self.assertEqual(sources[1], [dmap])

    def test_dynamic_compute_overlayable_zorders_two_deep_dynamic_layers(self):
        area = DynamicMap(lambda: Area(range(10)), kdims=[])
        curve = DynamicMap(lambda: Curve(range(10)), kdims=[])
        area_redim = area.redim(x='x2')
        curve_redim = curve.redim(x='x2')
        combined = area_redim*curve_redim
        combined[()]
        sources = compute_overlayable_zorders(combined)
        self.assertIn(area_redim, sources[0])
        self.assertIn(area, sources[0])
        self.assertNotIn(curve_redim, sources[0])
        self.assertNotIn(curve, sources[0])
        self.assertIn(curve_redim, sources[1])
        self.assertIn(curve, sources[1])
        self.assertNotIn(area_redim, sources[1])
        self.assertNotIn(area, sources[1])

    def test_dynamic_compute_overlayable_zorders_three_deep_dynamic_layers(self):
        area = DynamicMap(lambda: Area(range(10)), kdims=[])
        curve = DynamicMap(lambda: Curve(range(10)), kdims=[])
        curve2 = DynamicMap(lambda: Curve(range(10)), kdims=[])
        area_redim = area.redim(x='x2')
        curve_redim = curve.redim(x='x2')
        curve2_redim = curve2.redim(x='x3')
        combined = area_redim*curve_redim
        combined1 = (combined*curve2_redim)
        combined1[()]
        sources = compute_overlayable_zorders(combined1)
        self.assertIn(area_redim, sources[0])
        self.assertIn(area, sources[0])
        self.assertNotIn(curve_redim, sources[0])
        self.assertNotIn(curve, sources[0])
        self.assertNotIn(curve2_redim, sources[0])
        self.assertNotIn(curve2, sources[0])

        self.assertIn(curve_redim, sources[1])
        self.assertIn(curve, sources[1])
        self.assertNotIn(area_redim, sources[1])
        self.assertNotIn(area, sources[1])
        self.assertNotIn(curve2_redim, sources[1])
        self.assertNotIn(curve2, sources[1])

        self.assertIn(curve2_redim, sources[2])
        self.assertIn(curve2, sources[2])
        self.assertNotIn(area_redim, sources[2])
        self.assertNotIn(area, sources[2])
        self.assertNotIn(curve_redim, sources[2])
        self.assertNotIn(curve, sources[2])

    def test_dynamic_compute_overlayable_zorders_three_deep_dynamic_layers_cloned(self):
        area = DynamicMap(lambda: Area(range(10)), kdims=[])
        curve = DynamicMap(lambda: Curve(range(10)), kdims=[])
        curve2 = DynamicMap(lambda: Curve(range(10)), kdims=[])
        area_redim = area.redim(x='x2')
        curve_redim = curve.redim(x='x2')
        curve2_redim = curve2.redim(x='x3')
        combined = area_redim*curve_redim
        combined1 = (combined*curve2_redim).redim(y='y2')
        combined1[()]
        sources = compute_overlayable_zorders(combined1)

        self.assertIn(area_redim, sources[0])
        self.assertIn(area, sources[0])
        self.assertNotIn(curve_redim, sources[0])
        self.assertNotIn(curve, sources[0])
        self.assertNotIn(curve2_redim, sources[0])
        self.assertNotIn(curve2, sources[0])

        self.assertIn(curve_redim, sources[1])
        self.assertIn(curve, sources[1])
        self.assertNotIn(area_redim, sources[1])
        self.assertNotIn(area, sources[1])
        self.assertNotIn(curve2_redim, sources[1])
        self.assertNotIn(curve2, sources[1])

        self.assertIn(curve2_redim, sources[2])
        self.assertIn(curve2, sources[2])
        self.assertNotIn(area_redim, sources[2])
        self.assertNotIn(area, sources[2])
        self.assertNotIn(curve_redim, sources[2])
        self.assertNotIn(curve, sources[2])

    def test_dynamic_compute_overlayable_zorders_mixed_dynamic_and_non_dynamic_overlays_reverse(self):
        area1 = Area(range(10))
        area2 = Area(range(10))
        overlay = area1 * area2
        curve = DynamicMap(lambda: Curve(range(10)), kdims=[])
        curve_redim = curve.redim(x='x2')
        combined = curve_redim*overlay
        combined[()]
        sources = compute_overlayable_zorders(combined)

        self.assertIn(curve_redim, sources[0])
        self.assertIn(curve, sources[0])
        self.assertNotIn(overlay, sources[0])

        self.assertIn(area1, sources[1])
        self.assertIn(overlay, sources[1])
        self.assertNotIn(curve_redim, sources[1])
        self.assertNotIn(curve, sources[1])

        self.assertIn(area2, sources[2])
        self.assertIn(overlay, sources[2])
        self.assertNotIn(curve_redim, sources[2])
        self.assertNotIn(curve, sources[2])

    def test_dynamic_compute_overlayable_zorders_mixed_dynamic_and_non_dynamic_ndoverlays(self):
        ndoverlay = NdOverlay({i: Area(range(10+i)) for i in range(2)})
        curve = DynamicMap(lambda: Curve(range(10)), kdims=[])
        curve_redim = curve.redim(x='x2')
        combined = ndoverlay*curve_redim
        combined[()]
        sources = compute_overlayable_zorders(combined)

        self.assertIn(ndoverlay[0], sources[0])
        self.assertIn(ndoverlay, sources[0])
        self.assertNotIn(curve_redim, sources[0])
        self.assertNotIn(curve, sources[0])

        self.assertIn(ndoverlay[1], sources[1])
        self.assertIn(ndoverlay, sources[1])
        self.assertNotIn(curve_redim, sources[1])
        self.assertNotIn(curve, sources[1])

        self.assertIn(curve_redim, sources[2])
        self.assertIn(curve, sources[2])
        self.assertNotIn(ndoverlay, sources[2])

    def test_dynamic_compute_overlayable_zorders_ndoverlays_as_input(self):
        ndoverlay1 = NdOverlay({i: Area(range(10+i)) for i in range(2)}).apply(lambda el: el.get(0), dynamic=True)
        ndoverlay2 = NdOverlay({i: Area((range(15, 25+i), range(10+i))) for i in range(2)}).apply(lambda el: el.get(0), dynamic=True)
        combined = ndoverlay1*ndoverlay2
        combined[()]
        sources = compute_overlayable_zorders(combined)
        assert len(sources) == 2

    def test_dynamic_compute_overlayable_zorders_mixed_dynamic_and_dynamic_ndoverlay_with_streams(self):
        ndoverlay = DynamicMap(lambda x: NdOverlay({i: Area(range(10+i)) for i in range(2)}),
                               kdims=[], streams=[PointerX()])
        curve = DynamicMap(lambda: Curve(range(10)), kdims=[])
        curve_redim = curve.redim(x='x2')
        combined = ndoverlay*curve_redim
        combined[()]
        sources = compute_overlayable_zorders(combined)

        self.assertIn(ndoverlay, sources[0])
        self.assertNotIn(curve_redim, sources[0])
        self.assertNotIn(curve, sources[0])

        self.assertIn(ndoverlay, sources[1])
        self.assertNotIn(curve_redim, sources[1])
        self.assertNotIn(curve, sources[1])

        self.assertIn(curve_redim, sources[2])
        self.assertIn(curve, sources[2])
        self.assertNotIn(ndoverlay, sources[2])

    def test_dynamic_compute_overlayable_zorders_mixed_dynamic_and_dynamic_ndoverlay_with_streams_cloned(self):
        ndoverlay = DynamicMap(lambda x: NdOverlay({i: Area(range(10+i)) for i in range(2)}),
                               kdims=[], streams=[PointerX()])
        curve = DynamicMap(lambda: Curve(range(10)), kdims=[])
        curve_redim = curve.redim(x='x2')
        combined = ndoverlay*curve_redim
        combined[()]
        sources = compute_overlayable_zorders(combined.clone())

        self.assertIn(ndoverlay, sources[0])
        self.assertNotIn(curve_redim, sources[0])
        self.assertNotIn(curve, sources[0])

        self.assertIn(ndoverlay, sources[1])
        self.assertNotIn(curve_redim, sources[1])
        self.assertNotIn(curve, sources[1])

        self.assertIn(curve_redim, sources[2])
        self.assertIn(curve, sources[2])
        self.assertNotIn(ndoverlay, sources[2])

    def test_dynamic_compute_overlayable_zorders_mixed_dynamic_and_non_dynamic_ndoverlays_reverse(self):
        ndoverlay = NdOverlay({i: Area(range(10+i)) for i in range(2)})
        curve = DynamicMap(lambda: Curve(range(10)), kdims=[])
        curve_redim = curve.redim(x='x2')
        combined = curve_redim*ndoverlay
        combined[()]
        sources = compute_overlayable_zorders(combined)

        self.assertIn(curve_redim, sources[0])
        self.assertIn(curve, sources[0])
        self.assertNotIn(ndoverlay, sources[0])

        self.assertIn(ndoverlay[0], sources[1])
        self.assertIn(ndoverlay, sources[1])
        self.assertNotIn(curve_redim, sources[1])
        self.assertNotIn(curve, sources[1])

        self.assertIn(ndoverlay[1], sources[2])
        self.assertIn(ndoverlay, sources[2])
        self.assertNotIn(curve_redim, sources[2])
        self.assertNotIn(curve, sources[2])

    def test_dynamic_compute_overlayable_zorders_three_deep_dynamic_layers_reduced(self):
        area = DynamicMap(lambda: Area(range(10)), kdims=[])
        curve = DynamicMap(lambda: Curve(range(10)), kdims=[])
        curve2 = DynamicMap(lambda: Curve(range(10)), kdims=[])
        area_redim = area.redim(x='x2')
        curve_redim = curve.redim(x='x2')
        curve2_redim = curve2.redim(x='x3')
        combined = (area_redim*curve_redim).map(lambda x: x.get(0), Overlay)
        combined1 = combined*curve2_redim
        combined1[()]
        sources = compute_overlayable_zorders(combined1)

        self.assertIn(curve_redim, sources[0])
        self.assertIn(curve, sources[0])
        self.assertIn(area_redim, sources[0])
        self.assertIn(area, sources[0])
        self.assertNotIn(curve2_redim, sources[0])
        self.assertNotIn(curve2, sources[0])

        self.assertIn(curve2_redim, sources[1])
        self.assertIn(curve2, sources[1])
        self.assertNotIn(area_redim, sources[1])
        self.assertNotIn(area, sources[1])
        self.assertNotIn(curve_redim, sources[1])
        self.assertNotIn(curve, sources[1])


    def test_dynamic_compute_overlayable_zorders_three_deep_dynamic_layers_reduced_layers_by_one(self):
        area = DynamicMap(lambda: Area(range(10)), kdims=[])
        area2 = DynamicMap(lambda: Area(range(10)), kdims=[])
        curve = DynamicMap(lambda: Curve(range(10)), kdims=[])
        curve2 = DynamicMap(lambda: Curve(range(10)), kdims=[])
        area_redim = area.redim(x='x2')
        curve_redim = curve.redim(x='x2')
        curve2_redim = curve2.redim(x='x3')
        combined = (area_redim*curve_redim*area2).map(lambda x: x.clone(x.items()[:2]), Overlay)
        combined1 = combined*curve2_redim
        combined1[()]
        sources = compute_overlayable_zorders(combined1)

        self.assertNotIn(curve_redim, sources[0])
        self.assertNotIn(curve, sources[0])
        self.assertNotIn(curve2_redim, sources[0])
        self.assertNotIn(curve2, sources[0])
        self.assertNotIn(area, sources[0])
        self.assertNotIn(area_redim, sources[0])
        self.assertNotIn(area2, sources[0])

        self.assertNotIn(area_redim, sources[1])
        self.assertNotIn(area, sources[1])
        self.assertNotIn(curve2_redim, sources[1])
        self.assertNotIn(curve2, sources[1])
        self.assertNotIn(area2, sources[0])

        self.assertIn(curve2_redim, sources[2])
        self.assertIn(curve2, sources[2])
        self.assertNotIn(area_redim, sources[2])
        self.assertNotIn(area, sources[2])
        self.assertNotIn(area2, sources[0])
        self.assertNotIn(curve_redim, sources[2])
        self.assertNotIn(curve, sources[2])


class TestInitializeDynamic(ComparisonTestCase):

    def test_dynamicmap_default_initializes(self):
        dims = [Dimension('N', default=5, range=(0, 10))]
        dmap = DynamicMap(lambda N: Curve([1, N, 5]), kdims=dims)
        initialize_dynamic(dmap)
        self.assertEqual(dmap.keys(), [5])

    def test_dynamicmap_numeric_values_initializes(self):
        dims = [Dimension('N', values=[10, 5, 0])]
        dmap = DynamicMap(lambda N: Curve([1, N, 5]), kdims=dims)
        initialize_dynamic(dmap)
        self.assertEqual(dmap.keys(), [0])



class TestSplitDynamicMapOverlay(ComparisonTestCase):
    """
    Tests the split_dmap_overlay utility
    """

    def setUp(self):
        self.dmap_element = DynamicMap(lambda: Image([]))
        self.dmap_overlay = DynamicMap(lambda: Overlay([Curve([]), Points([])]))
        self.dmap_ndoverlay = DynamicMap(lambda: NdOverlay({0: Curve([]), 1: Curve([])}))
        self.element = Scatter([])
        self.el1, self.el2 = Path([]), HLine(0)
        self.overlay = Overlay([self.el1, self.el2])
        self.ndoverlay = NdOverlay({0: VectorField([]), 1: VectorField([])})

    def test_dmap_ndoverlay(self):
        test = self.dmap_ndoverlay
        initialize_dynamic(test)
        layers = [self.dmap_ndoverlay, self.dmap_ndoverlay]
        self.assertEqual(split_dmap_overlay(test)[0], layers)

    def test_dmap_overlay(self):
        test = self.dmap_overlay
        initialize_dynamic(test)
        layers = [self.dmap_overlay, self.dmap_overlay]
        self.assertEqual(split_dmap_overlay(test)[0], layers)

    def test_dmap_element_mul_dmap_overlay(self):
        test = self.dmap_element * self.dmap_overlay
        initialize_dynamic(test)
        layers = [self.dmap_element, self.dmap_overlay, self.dmap_overlay]
        self.assertEqual(split_dmap_overlay(test)[0], layers)

    def test_dmap_element_mul_dmap_ndoverlay(self):
        test = self.dmap_element * self.dmap_ndoverlay
        initialize_dynamic(test)
        layers = [self.dmap_element, self.dmap_ndoverlay]
        self.assertEqual(split_dmap_overlay(test)[0], layers)

    def test_dmap_element_mul_element(self):
        test = self.dmap_element * self.element
        initialize_dynamic(test)
        layers = [self.dmap_element, self.element]
        self.assertEqual(split_dmap_overlay(test)[0], layers)

    def test_dmap_element_mul_overlay(self):
        test = self.dmap_element * self.overlay
        initialize_dynamic(test)
        layers = [self.dmap_element, self.el1, self.el2]
        self.assertEqual(split_dmap_overlay(test)[0], layers)

    def test_dmap_element_mul_ndoverlay(self):
        test = self.dmap_element * self.ndoverlay
        initialize_dynamic(test)
        layers = [self.dmap_element, self.ndoverlay]
        self.assertEqual(split_dmap_overlay(test)[0], layers)

    def test_dmap_overlay_mul_dmap_ndoverlay(self):
        test = self.dmap_overlay * self.dmap_ndoverlay
        initialize_dynamic(test)
        layers = [self.dmap_overlay, self.dmap_overlay, self.dmap_ndoverlay]
        self.assertEqual(split_dmap_overlay(test)[0], layers)

    def test_dmap_overlay_mul_element(self):
        test = self.dmap_overlay * self.element
        initialize_dynamic(test)
        layers = [self.dmap_overlay, self.dmap_overlay, self.element]
        self.assertEqual(split_dmap_overlay(test)[0], layers)

    def test_dmap_overlay_mul_overlay(self):
        test = self.dmap_overlay * self.overlay
        initialize_dynamic(test)
        layers = [self.dmap_overlay, self.dmap_overlay, self.el1, self.el2]
        self.assertEqual(split_dmap_overlay(test)[0], layers)

    def test_dmap_all_combinations(self):
        test = (self.dmap_overlay * self.element * self.dmap_ndoverlay *
                self.overlay * self.dmap_element * self.ndoverlay)
        initialize_dynamic(test)
        layers = [self.dmap_overlay, self.dmap_overlay, self.element,
                  self.dmap_ndoverlay, self.el1, self.el2, self.dmap_element,
                  self.ndoverlay]
        self.assertEqual(split_dmap_overlay(test)[0], layers)

    def test_dmap_overlay_operation_mul_dmap_ndoverlay(self):
        mapped = operation(self.dmap_overlay)
        test = mapped * self.dmap_ndoverlay
        initialize_dynamic(test)
        layers = [mapped, mapped, self.dmap_ndoverlay]
        self.assertEqual(split_dmap_overlay(test)[0], layers)

    def test_dmap_overlay_linked_operation_mul_dmap_ndoverlay(self):
        mapped = operation(self.dmap_overlay, link_inputs=True)
        test = mapped * self.dmap_ndoverlay
        initialize_dynamic(test)
        layers = [mapped, mapped, self.dmap_ndoverlay]
        self.assertEqual(split_dmap_overlay(test)[0], layers)

    def test_dmap_overlay_linked_operation_mul_dmap_element_ndoverlay(self):
        mapped = self.dmap_overlay.map(lambda x: x.get(0), Overlay)
        test = mapped * self.element * self.dmap_ndoverlay
        initialize_dynamic(test)
        layers = [mapped, self.element, self.dmap_ndoverlay]
        self.assertEqual(split_dmap_overlay(test)[0], layers)


class TestPlotColorUtils(ComparisonTestCase):

    def test_process_cmap_list_cycle(self):
        colors = process_cmap(['#ffffff', '#959595', '#000000'], 4)
        self.assertEqual(colors, ['#ffffff', '#959595', '#000000', '#ffffff'])

    def test_process_cmap_cycle(self):
        colors = process_cmap(Cycle(values=['#ffffff', '#959595', '#000000']), 4)
        self.assertEqual(colors, ['#ffffff', '#959595', '#000000', '#ffffff'])

    def test_process_cmap_invalid_str(self):
        with self.assertRaises(ValueError):
            process_cmap('NonexistentColorMap', 3)

    def test_process_cmap_invalid_type(self):
        with self.assertRaises(TypeError):
            process_cmap({'A', 'B', 'C'}, 3)


@pytest.mark.usefixtures("mpl_backend")
class TestMPLColormapUtils(ComparisonTestCase):

    def test_mpl_colormap_fire(self):
        colors = process_cmap('fire', 3, provider='matplotlib')
        self.assertEqual(colors, ['#000000', '#ed1400', '#ffffff'])

    def test_mpl_colormap_fire_r(self):
        colors = process_cmap('fire_r', 3, provider='matplotlib')
        self.assertEqual(colors, ['#ffffff', '#eb1300', '#000000'])

    def test_mpl_colormap_name_palette(self):
        colors = process_cmap('Greys', 3, provider='matplotlib')
        self.assertEqual(colors, ['#ffffff', '#959595', '#000000'])

    def test_mpl_colormap_instance(self):
        try:
            from matplotlib import colormaps
            cmap = colormaps.get('Greys')
        except ImportError:
            # This will stop working and can be removed
            # when we only support Matplotlib >= 3.5
            from matplotlib.cm import get_cmap
            cmap = get_cmap('Greys')

        colors = process_cmap(cmap, 3, provider='matplotlib')
        self.assertEqual(colors, ['#ffffff', '#959595', '#000000'])

    def test_mpl_colormap_categorical(self):
        colors = mplcmap_to_palette('Category20', 3)
        self.assertEqual(colors, ['#1f77b4', '#c5b0d5', '#9edae5'])

    def test_mpl_colormap_categorical_reverse(self):
        colors = mplcmap_to_palette('Category20_r', 3)
        self.assertEqual(colors, ['#1f77b4', '#8c564b', '#9edae5'][::-1])

    def test_mpl_colormap_sequential(self):
        colors = mplcmap_to_palette('YlGn', 3)
        self.assertEqual(colors, ['#ffffe5', '#77c578', '#004529'])

    def test_mpl_colormap_sequential_reverse(self):
        colors = mplcmap_to_palette('YlGn_r', 3)
        self.assertEqual(colors, ['#ffffe5', '#78c679', '#004529'][::-1])

    def test_mpl_colormap_diverging(self):
        colors = mplcmap_to_palette('RdBu', 3)
        self.assertEqual(colors, ['#67001f', '#f6f6f6', '#053061'])

    def test_mpl_colormap_diverging_reverse(self):
        colors = mplcmap_to_palette('RdBu_r', 3)
        self.assertEqual(colors, ['#67001f', '#f7f6f6', '#053061'][::-1])

    def test_mpl_colormap_perceptually_uniform(self):
        colors = mplcmap_to_palette('viridis', 4)
        self.assertEqual(colors, ['#440154', '#30678d', '#35b778', '#fde724'])

    def test_mpl_colormap_perceptually_uniform_reverse(self):
        colors = mplcmap_to_palette('viridis_r', 4)
        self.assertEqual(colors, ['#440154', '#30678d', '#35b778', '#fde724'][::-1])


@pytest.mark.usefixtures("bokeh_backend")
class TestBokehPaletteUtils(ComparisonTestCase):

    def test_bokeh_palette_categorical_palettes_not_interpolated(self):
        # Ensure categorical palettes are not expanded
        categorical = ('accent', 'category20', 'dark2', 'colorblind', 'pastel1',
                       'pastel2', 'set1', 'set2', 'set3', 'paired')
        for cat in categorical:
            self.assertTrue(len(set(bokeh_palette_to_palette(cat))) <= 20)

    def test_bokeh_colormap_fire(self):
        colors = process_cmap('fire', 3, provider='bokeh')
        self.assertEqual(colors, ['#000000', '#eb1300', '#ffffff'])

    def test_bokeh_colormap_fire_r(self):
        colors = process_cmap('fire_r', 3, provider='bokeh')
        self.assertEqual(colors, ['#ffffff', '#ed1400', '#000000'])

    def test_bokeh_palette_categorical(self):
        colors = bokeh_palette_to_palette('Category20', 3)
        self.assertEqual(colors, ['#1f77b4', '#c5b0d5', '#9edae5'])

    def test_bokeh_palette_categorical_reverse(self):
        colors = bokeh_palette_to_palette('Category20_r', 3)
        self.assertEqual(colors, ['#1f77b4', '#8c564b', '#9edae5'][::-1])

    def test_bokeh_palette_sequential(self):
        colors = bokeh_palette_to_palette('YlGn', 3)
        self.assertEqual(colors, ['#ffffe5', '#78c679', '#004529'])

    def test_bokeh_palette_sequential_reverse(self):
        colors = bokeh_palette_to_palette('YlGn_r', 3)
        self.assertEqual(colors, ['#ffffe5', '#78c679', '#004529'][::-1])

    def test_bokeh_palette_diverging(self):
        colors = bokeh_palette_to_palette('RdBu', 3)
        self.assertEqual(colors, ['#67001f', '#f7f7f7', '#053061'])

    def test_bokeh_palette_diverging_reverse(self):
        colors = bokeh_palette_to_palette('RdBu_r', 3)
        self.assertEqual(colors, ['#67001f', '#f7f7f7', '#053061'][::-1])

    def test_bokeh_palette_uniform_interpolated(self):
        colors = bokeh_palette_to_palette('Viridis', 4)
        self.assertEqual(colors, ['#440154', '#30678D', '#35B778', '#FDE724'])

    def test_bokeh_palette_perceptually_uniform(self):
        colors = bokeh_palette_to_palette('viridis', 4)
        self.assertEqual(colors, ['#440154', '#30678D', '#35B778', '#FDE724'])

    def test_bokeh_palette_perceptually_uniform_reverse(self):
        colors = bokeh_palette_to_palette('viridis_r', 4)
        self.assertEqual(colors, ['#440154', '#30678D', '#35B778', '#FDE724'][::-1])

    def test_color_intervals(self):
        levels = [0, 38, 73, 95, 110, 130, 156]
        colors = ['#5ebaff', '#00faf4', '#ffffcc', '#ffe775', '#ffc140', '#ff8f20']
        cmap, lims = color_intervals(colors, levels, N=10)
        self.assertEqual(cmap, ['#5ebaff', '#5ebaff', '#00faf4',
                                '#00faf4', '#ffffcc', '#ffe775',
                                '#ffc140', '#ff8f20', '#ff8f20'])

    def test_color_intervals_clipped(self):
        levels = [0, 38, 73, 95, 110, 130, 156, 999]
        colors = ['#5ebaff', '#00faf4', '#ffffcc', '#ffe775', '#ffc140', '#ff8f20', '#ff6060']
        cmap, lims = color_intervals(colors, levels, clip=(10, 90), N=100)
        self.assertEqual(cmap, ['#5ebaff', '#5ebaff', '#5ebaff', '#00faf4', '#00faf4',
                                '#00faf4', '#00faf4', '#ffffcc', '#ffffcc'])
        self.assertEqual(lims, (10, 90))


class TestPlotUtils(ComparisonTestCase):

    def test_get_min_distance_float32_type(self):
        xs, ys = (np.arange(0, 2., .2, dtype='float32'),
                  np.arange(0, 2., .2, dtype='float32'))
        X, Y = np.meshgrid(xs, ys)
        dist = get_min_distance(Points((X.flatten(), Y.flatten())))
        self.assertEqual(float(round(dist, 5)), 0.2)

    def test_get_min_distance_int32_type(self):
        xs, ys = (np.arange(0, 10, dtype='int32'),
                  np.arange(0, 10, dtype='int32'))
        X, Y = np.meshgrid(xs, ys)
        dist = get_min_distance(Points((X.flatten(), Y.flatten())))
        self.assertEqual(dist, 1.0)

    def test_get_min_distance_float32_type_no_scipy(self):
        xs, ys = (np.arange(0, 2., .2, dtype='float32'),
                  np.arange(0, 2., .2, dtype='float32'))
        X, Y = np.meshgrid(xs, ys)
        dist = _get_min_distance_numpy(Points((X.flatten(), Y.flatten())))
        self.assertEqual(dist, np.float32(0.2))

    def test_get_min_distance_int32_type_no_scipy(self):
        xs, ys = (np.arange(0, 10, dtype='int32'),
                  np.arange(0, 10, dtype='int32'))
        X, Y = np.meshgrid(xs, ys)
        dist = _get_min_distance_numpy(Points((X.flatten(), Y.flatten())))
        self.assertEqual(dist, 1.0)


class TestRangeUtilities(ComparisonTestCase):

    def test_get_axis_padding_scalar(self):
        padding = get_axis_padding(0.1)
        self.assertEqual(padding, (0.1, 0.1, 0.1))

    def test_get_axis_padding_tuple(self):
        padding = get_axis_padding((0.1, 0.2))
        self.assertEqual(padding, (0.1, 0.2, 0))

    def test_get_axis_padding_tuple_3d(self):
        padding = get_axis_padding((0.1, 0.2, 0.3))
        self.assertEqual(padding, (0.1, 0.2, 0.3))

    def test_get_range_from_element(self):
        dim = Dimension('y', soft_range=(0, 3), range=(0, 2))
        element = Scatter([1, 2, 3], vdims=dim)
        drange, srange, hrange = get_range(element, {}, dim)
        self.assertEqual(drange, (1, 3))
        self.assertEqual(srange, (0, 3))
        self.assertEqual(hrange, (0, 2))

    def test_get_range_from_ranges(self):
        dim = Dimension('y', soft_range=(0, 3), range=(0, 2))
        element = Scatter([1, 2, 3], vdims=dim)
        ranges = {'y': {'soft': (-1, 4), 'hard': (-1, 3), 'data': (-0.5, 2.5)}}
        drange, srange, hrange = get_range(element, ranges, dim)
        self.assertEqual(drange, (-0.5, 2.5))
        self.assertEqual(srange, (-1, 4))
        self.assertEqual(hrange, (-1, 3))
