# Source code for tecplot.plot.slice

    from builtins import int, super

    import itertools as it

    from collections.abc import Iterable

    from ..tecutil import _tecutil, sv
    from ..constant import *
    from ..exception import *
    from .. import session, tecutil, version

    class SliceMesh(session.SubStyle):
        """Mesh attributes of the slice group.

        .. code-block:: python
            :emphasize-lines: 12

            from os import path
            import tecplot as tp
            from tecplot.constant import SliceSurface, ContourType

            examples_dir = tp.session.tecplot_examples_directory()
            datafile = path.join(examples_dir, 'SimpleData', 'DuctFlow.plt')
            dataset = tp.data.load_tecplot(datafile)
            plot = tp.active_frame().plot()
            plot.show_slices = True
            plot.contour(0).variable = dataset.variable('U(M/S)')

            plot.slice(0).mesh.show = True

            # ensure consistent output between interactive (connected) and batch
            plot.contour(0).levels.reset_to_nice()

            tp.export.save_png('slice_mesh.png', 600, supersample=3)

        .. figure:: /_static/images/slice_mesh.png
            :width: 300px
            :figwidth: 300px
        """
        def __init__(self, slice_group):
            super().__init__(slice_group, sv.MESH)

        @property
        def show(self):
            """`bool`: Show mesh lines.

            Example usage::

                >>> plot.slice(0).mesh.show = True
            """
            return self._get_style(bool, sv.SHOW)

        @show.setter
        def show(self, value):
            self._set_style(bool(value), sv.SHOW)

        @property
        def color(self):
            """`Color` or `ContourGroup`: Slice mesh line Color.

            Slice mesh lines can be a solid color or be colored by a
            `ContourGroup` as obtained through the ``plot.contour`` property.

            Example usage::

                >>> plot.slice(0).mesh.show = True
                >>> plot.slice(0).mesh.color = Color.Green
            """
            return tecutil.color_spec(self._get_style(Color, sv.COLOR),
                                      self.parent.plot)

        @color.setter
        def color(self, value):
            self._set_style(tecutil.color_spec(value), sv.COLOR)

        @property
        def line_thickness(self):
            """`float`: Mesh line thickness.

            The mesh line thickness is specified as a percentage of the frame width.

            Example usage::

                >>> plot.slice(0).mesh.show = True
                >>> plot.slice(0).mesh.line_thickness = 0.8
            """
            return self._get_style(float, sv.LINETHICKNESS)

        @line_thickness.setter
        def line_thickness(self, value):
            self._set_style(float(value), sv.LINETHICKNESS)

    class SliceShade(session.SubStyle):
        """Shade attributes of the slice group.

        Show shading on the slice when `SliceContour.show` has not been
        selected or is set to `ContourType.Lines`:

        .. code-block:: python
            :emphasize-lines: 11-14

            from os import path
            import tecplot as tp
            from tecplot.constant import Color

            examples_dir = tp.session.tecplot_examples_directory()
            datafile = path.join(examples_dir, 'SimpleData', 'Pyramid.plt')
            dataset = tp.data.load_tecplot(datafile)

            plot = tp.active_frame().plot()
            plot.show_slices = True
            plot.slice(0).contour.show = False
            shade = plot.slice(0).shade
            shade.show = True
            shade.color = Color.Red  # Slice will be colored solid red.
            tp.export.save_png('slice_shade.png', 600, supersample=3)

        .. figure:: /_static/images/slice_shade.png
            :width: 300px
            :figwidth: 300px
        """

        def __init__(self, slice_group):
            super().__init__(slice_group, sv.SHADE)

        @property
        def show(self):
            """`bool`: Show shade attributes.

            Example usage::

                >>> plot.slice(0).shade.show = True
            """
            return self._get_style(bool, sv.SHOW)

        @show.setter
        def show(self, value):
            self._set_style(bool(value), sv.SHOW)

        @property
        def color(self):
            """`Color`: Shade color.

            `Color.MultiColor` and `Color.RGBColor` coloring are not available.
            Use flooded contours for multi-color or RGB flooding

            Example usage::

                >>> plot.slice(0).shade.show = True
                >>> plot.slice(0).shade.color = Color.Blue
            """
            return self._get_style(Color, sv.COLOR)

        @color.setter
        def color(self, value):
            self._set_style(Color(value), sv.COLOR)

        @property
        def use_lighting_effect(self):
            """`bool`: Use lighting effect.

            When set to `True`, the lighting effect may be selected with the
            `SliceEffects.lighting_effect` attribute.

            .. note::
                Setting `SliceShade.use_lighting_effect` will also set
                the same value for `SliceContour.use_lighting_effect`,
                and vice-versa.

            Example usage::

                >>> plot.slice(0).shade.use_lighting_effect = True
                >>> plot.slice(0).effects.lighting_effect = LightingEffect.Paneled
            """
            return self._get_style(bool, sv.USELIGHTINGEFFECT)

        @use_lighting_effect.setter
        def use_lighting_effect(self, value):
            self._set_style(bool(value), sv.USELIGHTINGEFFECT)

    class SliceEffects(session.SubStyle):
        """Slice effects for this slice.

        .. code-block:: python
            :emphasize-lines: 16-17

            from os import path
            import tecplot as tp

            examples_dir = tp.session.tecplot_examples_directory()
            datafile = path.join(examples_dir, 'SimpleData', 'DuctFlow.plt')
            dataset = tp.data.load_tecplot(datafile)

            plot = tp.active_frame().plot()

            plot.show_slices = True
            slice_0 = plot.slice(0)

            plot.contour(0).variable = dataset.variable('U(M/S)')
            slice_0.contour.show = True

            slice_0.effects.use_translucency = True
            slice_0.effects.surface_translucency = 70

            # ensure consistent output between interactive (connected) and batch
            plot.contour(0).levels.reset_to_nice()

            tp.export.save_png('slice_effects.png', 600, supersample=3)

        .. figure:: /_static/images/slice_effects.png
            :width: 300px
            :figwidth: 300px
        """
        def __init__(self, slice_group):
            super().__init__(slice_group, sv.EFFECTS)

        @property
        def lighting_effect(self):
            """`LightingEffect`: Surface lighting effect.

            Slice lighting effects must be enabled by setting
            `SliceContour.use_lighting_effect` or
            `SliceShade.use_lighting_effect` to `True` when setting this value.

            There are two types of lighting effects: Paneled and Gouraud:

                * `Paneled`: Within each cell, the color assigned to each area by
                    shading or contour flooding is tinted by a shade constant
                    across the cell. This shade is based on the orientation
                    of the cell relative to your 3D light source.
                * `Gouraud`: This offers smoother, more continuous shading than
                    Paneled shading, but it also results in slower plotting and
                    larger print files. `Gouraud` shading is not continuous across
                    zone boundaries unless face neighbors are specified in the
                    data. `Gouraud` shading is not available for finite element
                    volume `Zones <data_access>` when blanking is active. The
                    zone's lighting effect reverts to `Paneled` shading in this
                    case.

            Example usage::

                >>> plot.slice(0).contour.use_lighting_effect = True
                >>> plot.slice(0).effects.lighting_effect = LightingEffect.Paneled
            """
            return self._get_style(LightingEffect, sv.LIGHTINGEFFECT)

        @lighting_effect.setter
        def lighting_effect(self, value):
            self._set_style(LightingEffect(value), sv.LIGHTINGEFFECT)

        @property
        def surface_translucency(self):
            """`int`: Surface translucency of the slice group.

            Slice surface translucency must be enabled by setting
            `SliceEffects.use_translucency` = `True` when setting this value.

            Valid slice translucency values range
            from one (opaque) to 99 (translucent).

            Example usage::

                >>> plot.slice(0).effects.use_translucency = True
                >>> plot.slice(0).effects.surface_translucency = 20
            """
            return self._get_style(int, sv.SURFACETRANSLUCENCY)

        @surface_translucency.setter
        def surface_translucency(self, value):
            self._set_style(int(value), sv.SURFACETRANSLUCENCY)

        @property
        def use_translucency(self):
            """`bool`: Enable surface translucency for this slice group.

            The surface translucency value can be changed by setting
            `SliceEffects.surface_translucency`.

            Example usage::

                >>> plot.slice(0).effects.use_translucency = True
                >>> plot.slice(0).effects.surface_translucency = 20
            """
            return self._get_style(bool, sv.USETRANSLUCENCY)

        @use_translucency.setter
        def use_translucency(self, value):
            self._set_style(bool(value), sv.USETRANSLUCENCY)

    class SliceEdge(session.SubStyle):
        """Edge attributes of the slice group.

        When enabled, selected edge lines of all slices in this group will
        be shown:

        .. code-block:: python
            :emphasize-lines: 13-14

            from os import path
            import tecplot as tp

            examples_dir = tp.session.tecplot_examples_directory()
            datafile = path.join(examples_dir, 'SimpleData', 'DuctFlow.plt')
            dataset = tp.data.load_tecplot(datafile)

            plot = tp.active_frame().plot()
            plot.show_slices = True
            plot.contour(0).variable = dataset.variable('U(M/S)')

            slice_0 = plot.slice(0)
            slice_0.edge.show = True
            slice_0.edge.line_thickness = 0.8

            # ensure consistent output between interactive (connected) and batch
            plot.contour(0).levels.reset_to_nice()

            tp.export.save_png('slice_edge.png', 600, supersample=3)

        .. figure:: /_static/images/slice_edge.png
            :width: 300px
            :figwidth: 300px
        """

        def __init__(self, slice_group):
            super().__init__(slice_group, sv.EDGELAYER)

        @property
        def edge_type(self):
            """`EdgeType`: Edge type.

            There are two types of edges in |Tecplot 360|: creases and borders.

            An edge border is the boundary of a `Zone <data_access>`. An edge
            crease appears when the inside angle between two cells is less than a
            user-defined limit. The inside angle can range from 0-180 degrees
            (where 180 degrees indicates coplanar surfaces). The default inside
            angle for determining an edge crease is 135 degrees.

            Example usage::

                >>> plot.slice(0).edge.show = True
                >>> plot.slice(0).edge.edge_type = EdgeType.BordersAndCreases
            """
            return self._get_style(EdgeType, sv.EDGETYPE)

        @edge_type.setter
        def edge_type(self, value):
            self._set_style(EdgeType(value), sv.EDGETYPE)

        @property
        def show(self):
            """`bool`: Show edges.

            This property must be set to `True` to show any of the other edge
            properties.

            Example usage::

                >>> plot.slice(0).edge.show = True
                >>> plot.slice(0).edge.edge_type = EdgeType.BordersAndCreases
            """
            return self._get_style(bool, sv.SHOW)

        @show.setter
        def show(self, value):
            self._set_style(bool(value), sv.SHOW)

        @property
        def color(self):
            """`Color`: Edge color.

            Example usage::

                >>> plot.slice(0).edge.show = True
                >>> plot.slice(0).edge.color = Color.Blue
            """
            return self._get_style(Color, sv.COLOR)

        @color.setter
        def color(self, value):
            self._set_style(Color(value), sv.COLOR)

        @property
        def line_thickness(self):
            """`float`: Edge line thickness as a percentage of frame width.

            Example usage::

                >>> plot.slice(0).edge.show = True
                >>> plot.slice(0).edge.line_thickness = .8
            """
            return self._get_style(float, sv.LINETHICKNESS)

        @line_thickness.setter
        def line_thickness(self, value):
            self._set_style(float(value), sv.LINETHICKNESS)

    class SliceVector(session.SubStyle):
        """Vector attributes of the slice group.

        .. code-block:: python
            :emphasize-lines: 22-25

            from os import path
            import tecplot as tp
            from tecplot.constant import *

            examples_dir = tp.session.tecplot_examples_directory()
            datafile = path.join(examples_dir, 'SimpleData', 'DuctFlow.plt')
            dataset = tp.data.load_tecplot(datafile)

            plot = tp.active_frame().plot()

            plot.show_slices = True
            slice_0 = plot.slice(0)

            plot.contour(0).variable = dataset.variable('T(K)')

            # Vector variables must be assigned before displaying
            vectors = plot.vector
            vectors.u_variable = dataset.variable('U(M/S)')
            vectors.v_variable = dataset.variable('V(M/S)')
            vectors.w_variable = dataset.variable('W(M/S)')

            slice_vector = plot.slice(0).vector
            slice_vector.show = True
            slice_vector.vector_type = VectorType.MidAtPoint
            slice_vector.color = Color.BluePurple

            slice_0.effects.use_translucency = True
            slice_0.effects.surface_translucency = 30

            # ensure consistent output between interactive (connected) and batch
            plot.contour(0).levels.reset_to_nice()

            tp.export.save_png('slice_vector.png', 600, supersample=3)

        .. figure:: /_static/images/slice_vector.png
            :width: 300px
            :figwidth: 300px
        """

        def __init__(self, slice_group):
            super().__init__(slice_group, sv.VECTOR)

        @property
        def show(self):
            """`bool`: Show vectors on slices.

            Example usage::

                >>> plot.slice(0).vector.show = True
            """
            return self._get_style(bool, sv.SHOW)

        @show.setter
        def show(self, value):
            self._set_style(bool(value), sv.SHOW)

        @property
        def color(self):
            """`Color`: Set slice vector color.

            Example usage::

                >>> plot.slice(0).vector.show = True
                >>> plot.slice(0).vector.color = Color.Red
            """
            return self._get_style(Color, sv.COLOR)

        @color.setter
        def color(self, value):
            self._set_style(Color(value), sv.COLOR)

        @property
        def is_tangent(self):
            """`bool`: Use tangent vectors for slices.

            Example usage::

                >>> plot.slice(0).vector.show = True
                >>> plot.slice(0).vector.is_tangent = True
            """
            return self._get_style(bool, sv.ISTANGENT)

        @is_tangent.setter
        def is_tangent(self, value):
            self._set_style(bool(value), sv.ISTANGENT)

        @property
        def line_thickness(self):
            """`float`: Vector line thickness as a percentage of the frame height.

            Typical values are .02, .1, .4, .8, 1.5

            Example usage::

                >>> plot.slice(0).vector.show = True
                >>> plot.slice(0).vector.line_thickness = .1
            """
            return self._get_style(float, sv.LINETHICKNESS)

        @line_thickness.setter
        def line_thickness(self, value):
            self._set_style(float(value), sv.LINETHICKNESS)

        @property
        def vector_type(self):
            """`VectorType`: Type of vector for slices in this slice group.

            Example usage::

                >>> plot.slice(0).vector.show = True
                >>> plot.slice(0).vector.vector_type = VectorType.MidAtPoint
            """
            return self._get_style(VectorType, sv.VECTORTYPE)

        @vector_type.setter
        def vector_type(self, value):
            self._set_style(VectorType(value), sv.VECTORTYPE)

        @property
        def arrowhead_style(self):
            """`ArrowheadStyle`: Arrowhead style of slice vectors.

            Example usage::

                >>> plot.slice(0).vector.show = True
                >>> plot.slice(0).vector.arrowhead_style = ArrowheadStyle.Hollow
            """
            return self._get_style(ArrowheadStyle, sv.ARROWHEADSTYLE)

        @arrowhead_style.setter
        def arrowhead_style(self, value):
            self._set_style(ArrowheadStyle(value), sv.ARROWHEADSTYLE)

    class SliceContour(session.SubStyle):
        """Contour attributes of the slice group.

        .. code-block:: python
            :emphasize-lines: 18-21

            from os import path
            import tecplot as tp
            from tecplot.constant import SliceSurface, ContourType

            examples_dir = tp.session.tecplot_examples_directory()
            datafile = path.join(examples_dir, 'SimpleData', 'DuctFlow.plt')
            dataset = tp.data.load_tecplot(datafile)

            plot = tp.active_frame().plot()

            plot.show_slices = True
            slice_0 = plot.slice(0)

            # Use contour(0) for Flooding and contour(2) for Lines
            plot.contour(0).variable = dataset.variable('P(N/m2)')
            plot.contour(2).variable = dataset.variable('T(K)')
            plot.contour(2).legend.show = False
            slice_0.contour.show = True
            slice_0.contour.flood_contour_group = plot.contour(0)
            slice_0.contour.line_contour_group = plot.contour(2)
            slice_0.contour.contour_type = ContourType.Overlay  # AKA "Both lines and flood"

            slice_0.show_primary_slice = False
            slice_0.show_start_and_end_slices = True
            slice_0.show_intermediate_slices = True
            slice_0.start_position = (-.21, .05, .025)
            slice_0.end_position = (1.342, .95, .475)
            slice_0.num_intermediate_slices = 3

            # ensure consistent output between interactive (connected) and batch
            slice_0.contour.flood_contour_group.levels.reset_to_nice()
            slice_0.contour.line_contour_group.levels.reset_to_nice()

            tp.export.save_png('slice_contour.png', 600, supersample=3)

        .. figure:: /_static/images/slice_contour.png
            :width: 300px
            :figwidth: 300px
        """
        def __init__(self, slice_group):
            super().__init__(slice_group, sv.CONTOUR)
            self.plot = slice_group.plot

        @property
        def show(self):
            """`bool`: Show contours on the slice.

            Example usage::

                >>> plot.show_slices = True
                >>> plot.slice(1).contour.show = True
            """
            return self._get_style(bool, sv.SHOW)

        @show.setter
        def show(self, value):
            self._set_style(bool(value), sv.SHOW)

        @property
        def contour_type(self):
            """`ContourType`: Contour type for the slice contours.

            Example usage::

                >>> plot.show_slices = True
                >>> plot.slice(0).contour.contour_type = ContourType.AverageCell
            """
            return self._get_style(ContourType, sv.CONTOURTYPE)

        @contour_type.setter
        def contour_type(self, value):
            self._set_style(ContourType(value), sv.CONTOURTYPE)

        @property
        def line_color(self):
            """`Color`: `Color` of contour lines.

            Selecting `Color.MultiColor` will color the slice contour lines
            based on the `contour group <tecplot.plot.ContourGroup>` variable.

            Example usage::

                >>> plot.show_slices = True
                >>> plot.slice(0).contour.line_color = Color.Blue
            """
            return self._get_style(Color, sv.COLOR)

        @line_color.setter
        def line_color(self, value):
            self._set_style(Color(value), sv.COLOR)

        @property
        def line_thickness(self):
            """`float`: Contour line thickness as a percentage of frame width.

            Suggested values are one of: **.02, .1, .4, .8, 1.5**

            Example usage::

                >>> plot.show_slices = True
                >>> plot.slice(0).contour.line_thickness = .4
            """
            return self._get_style(float, sv.LINETHICKNESS)

        @line_thickness.setter
        def line_thickness(self, value):
            self._set_style(float(value), sv.LINETHICKNESS)

        @property
        def flood_contour_group_index(self):
            """`Index`: Zero-based `Index` of the flodding `ContourGroup`.

            This property sets and gets, by `Index`, the `ContourGroup` used for
            flooding. Changing style on this `ContourGroup` will affect all
            fieldmaps on the same `Frame` that use it.

            Example usage::

                >>> plot.show_slices = True
                >>> contour = plot.slice(0).contour
                >>> contour.flood_contour_group_index = 1
            """
            return self._get_style(tecutil.Index, sv.FLOODCOLORING)

        @flood_contour_group_index.setter
        def flood_contour_group_index(self, index):
            self._set_style(tecutil.Index(index), sv.FLOODCOLORING)

        @property
        def flood_contour_group(self):
            """`ContourGroup`: Contour group to use for flooding.

            Changing style on this `ContourGroup` will affect all
            fieldmaps on the same `Frame` that use it.

            Example usage::

                >>> group = plot.contour(1)
                >>> contour = plot.slice(1).contour
                >>> contour.flood_contour_group = group
            """
            indices = self.flood_contour_group_index
            if isinstance(indices, Iterable):
                return tuple([self.plot.contour(i) for i in indices])
            else:
                return self.plot.contour(indices)

        @flood_contour_group.setter
        def flood_contour_group(self, flood_contour_group):
            self.flood_contour_group_index = flood_contour_group.index

        @property
        def line_contour_group_index(self):
            """`int`: Zero-based `Index` of the `ContourGroup` for contour lines.

            This property sets and gets, by `Index`, the `ContourGroup` used for
            line placement. Although all properties of the `ContourGroup` can be
            manipulated through this object, many of them (i.e., color) will not
            affect the lines unless the `FieldmapContour.line_color` is set to the
            same `ContourGroup`. Note that changing style on this `ContourGroup`
            will affect all other fieldmaps on the same `Frame` that use it.

            Example usage::

                >>> plot.show_slices = True
                >>> contour = plot.slice(0).contour
                >>> contour.line_contour_group_index = 2
            """
            return self._get_style(tecutil.Index, sv.LINECONTOURGROUP)

        @line_contour_group_index.setter
        def line_contour_group_index(self, index):
            self._set_style(tecutil.Index(index), sv.LINECONTOURGROUP)

        @property
        def line_contour_group(self):
            """`ContourGroup`: Contour group to use for contour lines.

            Changing style on this `ContourGroup` will affect all
            fieldmaps on the same `Frame` that use it.

            Example usage::

                >>> group = plot.contour(1)
                >>> contour = plot.slice(1).contour
                >>> contour.line_contour_group = group
            """
            indices = self.line_contour_group_index
            if isinstance(indices, Iterable):
                return tuple([self.plot.contour(i) for i in indices])
            else:
                return self.plot.contour(indices)

        @line_contour_group.setter
        def line_contour_group(self, line_contour_group):
            self.line_contour_group_index = line_contour_group.index

        @property
        def use_lighting_effect(self):
            """`bool`; Enable lighting effect.

            .. note::
                Setting `SliceContour.use_lighting_effect` will also set
                the same value for `SliceShade.use_lighting_effect`,
                and vice-versa.

            The lighting effect is set with `SliceEffects.lighting_effect`, and may
            be one of `LightingEffect.Gouraud` or `LightingEffect.Paneled`.

            Example usage::

                >>> plot.show_slices = True
                >>> contour = plot.slice(0).contour
                >>> contour.use_lighting_effect = True
                >>> plot.slice(0).effects.lighting_effect = LightingEffect.Paneled
            """
            return self._get_style(bool, sv.USELIGHTINGEFFECT)

        @use_lighting_effect.setter
        def use_lighting_effect(self, value):
            self._set_style(bool(value), sv.USELIGHTINGEFFECT)

    class SliceGroupCollection(session.Style):
        """Change attributes associated with multiple slices.

        Slices can include lighting effects, contours, meshes, and more. To
        customize these and other attributes of slices, use this object. It
        controls the style for specific slice groups within a `Frame`. Slice
        `contour <SliceGroup.contour>`, vector, edge, effects, mesh, visibility and
        position information are accessed through this class:

        .. code-block:: python
            :emphasize-lines: 12-29

            from os import path
            import tecplot as tp
            from tecplot.constant import *

            examples_dir = tp.session.tecplot_examples_directory()
            datafile = path.join(examples_dir, 'SimpleData', 'DuctFlow.plt')
            dataset = tp.data.load_tecplot(datafile)

            plot = tp.active_frame().plot()
            plot.contour(0).variable = dataset.variable('U(M/S)')

            plot.show_slices = True
            slices = plot.slices(0, 1, 2)
            slices.show = True

            slices.contour.show = True
            slices.contour.contour_type = ContourType.Overlay
            slices.effects.use_translucency = True
            slices.effects.surface_translucency = 70

            # Show arbitrary slices
            slices.orientation = SliceSurface.Arbitrary
            slices.origin = (0.1, 0.2, 0)
            slices[0].arbitrary_normal = (1, 0.5, 0)
            slices[1].arbitrary_normal = (0.2, 1, 0)
            slices[2].arbitrary_normal = (0, 0, 1)

            slices.edge.show = True
            slices.edge.line_thickness = 0.4

            plot.contour(0).levels.reset_to_nice()
            plot.contour(0).legend.show = False

            tp.export.save_png('slice_collection.png')

        .. figure:: /_static/images/slice_collection.png
            :width: 300px
            :figwidth: 300px

        Up to eight different slice groups can be set and each slice group can use
        different slice planes or different ranges for the same slice plane.

        This class behaves like `SliceGroup` except that setting any underlying
        style will do so for all of the represented slice groups. The style
        properties are then always returned as a `tuple` of properties, one for
        each group, ordered by index number. This means there is an asymmetry
        between setting and getting any property under this object, illustrated by
        the following example::

            >>> slices = plot.slices(0, 1, 2)
            >>> slices.show = True
            >>> print(slices.show)
            (True, True, True)

        All examples that set style on a single slice like the following::

            >>> plot.slice(0).contour.show = True

        may be converted to setting the same style on all slice groups like so::

            >>> plot.slices().contour.show = True

        .. seealso:: `SliceGroup`

        .. versionadded:: 1.2
            Slice collection objects.
        """
        def __init__(self, plot, *indices):
            if __debug__:
                assert all(0 <= i < 8 for i in indices), \
                    'Slice index out of range (must be in the range: [0,7])'
            if indices:
                self._indices = set([tecutil.Index(i) for i in indices])
            else:
                self._indices = set(range(8))
            self.plot = plot
            super().__init__(sv.SLICEATTRIBUTES, uniqueid=self.plot.frame.uid)

        @property
        def indices(self):
            return sorted(self._indices)

        def __getitem__(self, index):
            return SliceGroup(self.plot, self.indices[index])

        def __iter__(self):
            self._current_index = -1
            self._max_index = len(self._indices)
            return self

        def __next__(self):
            self._current_index += 1
            if self._current_index < self._max_index:
                return self[self._current_index]
            raise StopIteration

        def next(self):  # if sys.version_info < (3,)
            return self.__next__()

        def __eq__(self, other):
            return (self.indices == other.indices) and (self.plot == other.plot)

        def __ne__(self, other):
            return not self.__eq__(other)

        def _get_style(self, rettype, *svargs, **kwargs):
            res = []
            for index in self.indices:
                kwargs.update(**{sv.OFFSET1: index})
                res.append(super()._get_style(rettype, *svargs, **kwargs))
            return tuple(res)

        def _set_style(self, value, *svargs, **kwargs):
            for index in self.indices:
                kwargs.update(**{sv.OFFSET1: index})
                super()._set_style(value, *svargs, **kwargs)

        @tecutil.lock()
        def extract(self, mode=ExtractMode.SingleZone, assign_strand_ids=True,
                    resulting_1d_zone_type=Resulting1DZoneType.IOrderedIfPossible,
                    transient_mode=TransientOperationMode.SingleSolutionTime):
            """Create new zones from this slice collection.

            Extracts the current slices represented by this group to the
            `Dataset` as one or more zones.

            Parameters:
                mode (`ExtractMode`, optional): Determines how many zones are
                    created upon extraction. Possible values are:
                    `ExtractMode.SingleZone` (default) and
                    `ExtractMode.OneZonePerConnectedRegion`.
                assign_strand_ids (`bool`, optional): Automatically assign strand
                    ID's to the created zones. (default: `True`)
                resulting_1d_zone_type (`Resulting1DZoneType`, optional): The type
                    of zone to create when the result is one-dimensional. Possible
                    values are: `Resulting1DZoneType.IOrderedIfPossible` (default)
                    and `Resulting1DZoneType.FELineSegment`.
                transient_mode (`TransientOperationMode`): Determines which
                    solution times are used to extract slices when transient data
                    is available in the dataset. Possible values are
                    `TransientOperationMode.SingleSolutionTime` (default) or
                    `TransientOperationMode.AllSolutionTimes`.

            Returns:

                generator_ of the extracted zones.

            .. seealso:: `tecplot.data.extract.extract_slice()`

            Example usage showing how to convert the resulting generator into a
            reusable list object of zones::

                >>> slice_zones = list(plot.slices(0, 1).extract())

            .. _generator: https://docs.python.org/3/reference/expressions.html#generator-expressions
            """
            transient_mode = TransientOperationMode(transient_mode)
            dataset = self.plot.frame.dataset
            mode = ExtractMode(mode)
            nzones = dataset.num_zones
            with self.plot.frame.activated(), \
                 tecutil.ArgList() as arglist:

                arglist[sv.EXTRACTMODE] = mode
                arglist[sv.AUTOSTRANDTRANSIENTDATA] = bool(assign_strand_ids)
                zone_type = Resulting1DZoneType(resulting_1d_zone_type)
                arglist[sv.RESULTING1DZONETYPE] = zone_type
                if transient_mode != TransientOperationMode.SingleSolutionTime:
                    arglist[sv.TRANSIENTOPERATIONMODE] = transient_mode

                with tecutil.IndexSet(*self._indices) as groups:
                    arglist[sv.GROUPS] = groups
                    if not _tecutil.ExtractSlicesX(arglist):
                        raise TecplotSystemError()

            return (dataset.zone(i) for i in range(nzones, dataset.num_zones))

        @property
        def vector(self):
            """`SliceVector`: Vector attributes for this slice group.

            Example usage::

                >>> plot.slice(0).vector.show = True
            """
            return SliceVector(self)

        @property
        def edge(self):
            """`SliceEdge`: Edge attributes for this slice group.

            Example usage::

                >>> plot.slice(0).edge.show = True
            """
            return SliceEdge(self)

        @property
        def effects(self):
            """`SliceEffects`: Effects attributes for this slice group.

                Example usage::

                    >>> plot.slice(0).effects.use_translucency = True
            """
            return SliceEffects(self)

        @property
        def shade(self):
            """`SliceShade`: Shade attributes for this slice group.

            Example usage::

                >>> plot.slice(0).shade.show = True
            """
            return SliceShade(self)

        @property
        def mesh(self):
            """`SliceMesh`: Mesh attributes for this slice group.

            Example usage::

                >>> plot.slice(0).mesh.show = True
            """
            return SliceMesh(self)

        @property
        def show(self):
            """`bool`: Show slices for this slice group.

            Example usage::

                >>> plot.slice(0).show = True
            """
            return self._get_style(bool, sv.SHOWGROUP)

        @show.setter
        def show(self, value):
            self._set_style(bool(value), sv.SHOWGROUP)

        @property
        def show_primary_slice(self):
            """`bool`; Include the primary slice (first slice placed) in the `Plot`.

            Example usage::

                >>> plot.slice(0).show = True
                >>> plot.slice(0).show_primary_slice = True

            """
            return self._get_style(bool, sv.SHOWPRIMARYSLICE)

        @show_primary_slice.setter
        def show_primary_slice(self, value):
                self._set_style(bool(value), sv.SHOWPRIMARYSLICE)

        @property
        def contour(self):
            """`SliceContour`: Contour attributes for the slice group.

            Example usage::

                >>> plot.slice(0).contour.show = True
            """
            return SliceContour(self)

        @property
        def orientation(self):
            """`SliceSurface`: Select on which plane the slice is drawn.

            You may also choose `SliceSurface.Arbitrary` to place the
            slice on an arbitrary plane.

            To orient slices in an arbitrary direction,
            choose `SliceSurface.Arbitrary`.
            As with other slices, you may specify origin points for a primary
            slice and/or for start and end slices. Slices pass through the
            indicated origin point(s), so you can easily align the edge of a
            slice or group of slices along some other feature of the plot,
            such as an axis. If intermediate slices are activated,
            they are drawn equally spaced between the slices
            defined by the start and end origins.

            Example usage::

                >>> plot.slice(0).orientation = SliceSurface.XPlanes
            """
            return self._get_style(SliceSurface, sv.SLICESURFACE)

        @orientation.setter
        def orientation(self, value):
            self._set_style(SliceSurface(value), sv.SLICESURFACE)

        @property
        def arbitrary_normal(self):
            """`tuple`: Normal for arbitrary slices.

            Example usage::

                >>> plot.slice(0).orientation = SliceSurface.Arbitrary
                >>> plot.slice(0).arbitrary_normal = (0.1, 0.2, 0.3)
                >>> plot.slice(0).arbitrary_normal.x
                0.1
                >>> plot.slice(0).arbitrary_normal.y
                0.2
                >>> plot.slice(0).arbitrary_normal.z
                0.3
            """
            return session.XYZ(self, sv.NORMAL)

        @arbitrary_normal.setter
        def arbitrary_normal(self, values):
            session.XYZ(self, sv.NORMAL)[:] = values

        def _position(self, svarg):
            index_orientations = (SliceSurface.IPlanes,
                                  SliceSurface.JPlanes,
                                  SliceSurface.KPlanes)
            spatial = [o not in index_orientations for o in self.orientation]
            if all(spatial):
                return session.XYZ(self, svarg)
            elif any(spatial):
                msg = 'all slices must have the same type of orientation'
                raise TecplotLogicError(msg)
            else:
                return session.IndexIJK(self, svarg)

        @property
        def origin(self):
            """`tuple` or `int`: Origin of the slice.

            This will be a 3-`tuple` of `float` if `orientation` is ``X,Y,Z`` or
            zero-based `int` if `orientation` is ``I,J,K``. For arbitrary slice
            orientation, the origin can be any location. For axis orientations
            (`XPlanes`, `YPlanes`, etc.) two of the three components are not used.

            Example usage::

                >>> slice_0 = plot.slice(0)
                >>> slice_0.orientation = SliceSurface.IPlanes
                >>> slice_0.origin = (1, 0, 0)
                >>> dx = (1, 1, 1)
                >>> slice_0.origin += dx
                >>> slice_0.origin.i
                2
                >>> slice_0.origin.j
                1
                >>> slice_0.origin.k
                1

                >>> slice_0.orientation = SliceSurface.Arbitrary
                >>> slice_0.origin = (.5, .1, .1)
                >>> slice_0.origin += dx
                >>> slice_0.origin.x
                1.5
                >>> slice_0.origin.y
                .1
                >>> slice_0.origin.z
                .1
            """
            return self._position(sv.PRIMARYPOSITION)

        @origin.setter
        def origin(self, values):
            self._position(sv.PRIMARYPOSITION)[:] = values

        @property
        def end_position(self):
            """`tuple` or `int`: Position of the end slice.

            `SliceGroup.show_start_and_end_slices` must be `True` to show the end
            slice. This will be a 3-`tuple` of `float` if `orientation` is
            ``X,Y,Z`` or zero-based `int` if `orientation` is ``I,J,K``.

            Example usage::

                >>> plot.slice(0).show_start_and_end_slices = True
                >>> plot.slice(0).end_position = (1, 1, 1)
                >>> plot.slice(0).end_position.i
                1
            """
            return self._position(sv.ENDPOSITION)

        @end_position.setter
        def end_position(self, values):
            self._position(sv.ENDPOSITION)[:] = values

        @property
        def start_position(self):
            """`tuple` or `int`: Position of the start slice.

            `SliceGroup.show_start_and_end_slices` must be `True` to show the start
            slice. This will be a 3-`tuple` of `float` if `orientation` is
            ``X,Y,Z`` or zero-based `int` if `orientation` is ``I,J,K``.

            Example usage::

                >>> plot.slice(0).show_start_and_end_slices = True
                >>> plot.slice(0).start_position = (1, 1, 1)
                >>> plot.slice(0).start_position.i
                1
            """
            return self._position(sv.STARTPOSITION)

        @start_position.setter
        def start_position(self, values):
            self._position(sv.STARTPOSITION)[:] = values

        @property
        def num_intermediate_slices(self):
            """`int`: Number of intermediate slicing planes.

            You may specify between 1 and 5,000 intermediate slices.

            Example usage::

                >>> # Show 2 intermediate slices
                >>> plot.slice(0).num_intermediate_slices = 2
            """
            return self._get_style(int, sv.NUMINTERMEDIATESLICES)

        @num_intermediate_slices.setter
        def num_intermediate_slices(self, value):
            self._set_style(int(value), sv.NUMINTERMEDIATESLICES)

        @property
        def show_intermediate_slices(self):
            """Show intermediate slices.

            Intermediate slices are evenly distributed between the start and end
            slices.

            Example usage::

                >>> plot.slice(0).show_intermediate_slices = True
            """
            return self._get_style(bool, sv.SHOWINTERMEDIATESLICES)

        @show_intermediate_slices.setter
        def show_intermediate_slices(self, value):
            self._set_style(bool(value), sv.SHOWINTERMEDIATESLICES)

        @property
        def obey_source_zone_blanking(self):
            """`bool`: Obey source zone blanking.

            When set to `True`, slices are subject to any blanking used for
            the data. When set to `False`, slices are generated for blanked
            and unblanked regions.

            Example usage::

                >>> plot.slice(0).obey_source_zone_blanking = True
            """
            return self._get_style(bool, sv.OBEYSOURCEZONEBLANKING)

        @obey_source_zone_blanking.setter
        def obey_source_zone_blanking(self, value):
            self._set_style(bool(value), sv.OBEYSOURCEZONEBLANKING)

        @property
        def slice_source(self):
            """`SliceSource`: `Zones <data_access>` to slice through.

            Choose to slice through volume `Zones <data_access>`, surface `Zones
            <data_access>`, or the surfaces of volume `Zones <data_access>`.

            Example usage::

                >>> plot.slice(0).slice_source = SliceSource.SurfaceZones
            """
            return self._get_style(SliceSource, sv.SLICESOURCE)

        @slice_source.setter
        def slice_source(self, value):
            self._set_style(SliceSource(value), sv.SLICESOURCE)

        @property
        def show_start_and_end_slices(self):
            """`bool`: Include start and end slices.

            Example usage::

                >>> plot.slice(0).show_start_and_end_slices = True
            """
            return self._get_style(bool, sv.SHOWSTARTENDSLICE)

        @show_start_and_end_slices.setter
        def show_start_and_end_slices(self, value):
            self._set_style(bool(value), sv.SHOWSTARTENDSLICE)

        @property
        def surface_generation_method(self):
            """`SurfaceGenerationMethod`: Determines how the surface is generated.

            May be one of:

            * `SurfaceGenerationMethod.Auto`:
                Selects one of the surface generation algorithms best suited for
                the zones participating in the slice generation. "All polygons" is
                used if one or more of the participating zones is polytope,
                otherwise "allow quads" is used.
            * `SurfaceGenerationMethod.AllPolygons`:
                Similar to the "All triangles" method except that all interior
                faces generated as a result of triangulation that are not part of
                the original mesh are eliminated. This preserves the original mesh
                of the source zones on the resulting slice.
            * `SurfaceGenerationMethod.AllTriangles`:
                An advanced algorithm that can handle complex saddle issues and
                guarantees that there will be no holes in the final surface. As the
                surface is composed entirely of triangles, it can be delivered more
                efficiently to the graphics hardware.
            * `SurfaceGenerationMethod.AllowQuads`:
                Produces quads or triangles, and the resulting surface more closely
                resembles the shape of the volume cells from the source zone. Since
                the quads are not arbitrarily divided into triangles, no biases are
                introduced, and the resulting surface may appear smoother. This
                method is preferred when the source zone is FE-Brick or IJK-Ordered
                and the surface is aligned with the source cells.

            Example usage::

                >>> from tecplot.constant import SurfaceGenerationMethod
                >>> plot.slice(0).surface_generation_method = \\
                ...     SurfaceGenerationMethod.AllowQuads
            """
            return self._get_style(SurfaceGenerationMethod,
                                   sv.SURFACEGENERATIONMETHOD)

        @surface_generation_method.setter
        def surface_generation_method(self, value):
            self._set_style(SurfaceGenerationMethod(value),
                            sv.SURFACEGENERATIONMETHOD)

        @property
        def clip(self):
            """`ClipPlane`: Orientation of data clipping for this slice group.

            Clipping the field data, isosurfaces, streamtraces or other plot
            objects using slices requires setting the ``clip`` property of the
            slice as well as adding the slice group to the ``clip_planes`` property
            on the fieldmap effects. Only slice groups 0 to 5 are available for
            clipping in this framework::

                >>> from tecplot.constant import *
                >>> # setup slice and clipping orientation
                >>> slice = plot.slice(0)
                >>> slice.origin = (7, 0, 0)
                >>> slice.clip = ClipPlane.AbovePrimarySlice
                >>> # add slice group to the fieldmap clip planes
                >>> plot.fieldmap(0).effects.clip_planes = [slice]
                >>> # turn on and set value of isosurface
                >>> # and enforce slice clipping
                >>> isosurf = plot.isosurface(0)
                >>> isosurf.isosurface_values = 3
                >>> isosurf.use_slice_clipping = True
                >>> # turn on isosurfaces and slices
                >>> pt.show_isosurfaces = True
                >>> pt.show_slices = True

            .. warning:: **Slice clipping is only supported for X, Y and Z-planes.**

                Slice clipping has no effect for slices that have an orientation of
                `SliceSurface.Arbitrary`, `SliceSurface.IPlanes`,
                `SliceSurface.JPlanes` or , `SliceSurface.KPlanes`. That is, the
                orientation must be one of: `SliceSurface.XPlanes`,
                `SliceSurface.YPlanes` or `SliceSurface.ZPlanes`.
            """
            return self._get_style(ClipPlane, sv.CLIPPLANE)

        @clip.setter
        def clip(self, value):
            self._set_style(ClipPlane(value), sv.CLIPPLANE)

        @property
        def use_slice_clipping(self):
            """`bool`: Clip this slice by any intersecting slices.

            Example usage::

                >>> from tecplot.constant import ClipPlane
                >>> slice = plot.slice(0)
                >>> slice.clip = ClipPlane.AbovePrimarySlice
                >>> plot.fieldmap(0).effects.clip_planes = slice
                >>> plot.slice(1).use_slice_clipping = True

            .. seealso:: `SliceGroup.clip`
            """
            return self._get_style(bool, sv.OBEYCLIPPLANES)

        @use_slice_clipping.setter
        def use_slice_clipping(self, value):
            self._set_style(bool(value), sv.OBEYCLIPPLANES)

    class SliceGroup(SliceGroupCollection):
        """Change attributes associated with a specific slice group.

        Slices can include lighting effects, contours, meshes, and more.
        To customize these and other attributes of slices, use this object.

        This object controls the style for a specific slice group within a `Frame`.
        Slice `contour <SliceGroup.contour>`, vector, edge, effects, mesh,
        visibility and position information are accessed through this class:

        .. code-block:: python
            :emphasize-lines: 19-40

            from os import path
            import tecplot as tp
            from tecplot.constant import *

            examples_dir = tp.session.tecplot_examples_directory()
            datafile = path.join(examples_dir, 'SimpleData', 'DuctFlow.plt')
            dataset = tp.data.load_tecplot(datafile)

            plot = tp.active_frame().plot()
            plot.contour(0).variable = dataset.variable('U(M/S)')
            plot.show_edge = True
            plot.fieldmap(0).edge.edge_type = EdgeType.Creases

            vectors = plot.vector
            vectors.u_variable = dataset.variable('U(M/S)')
            vectors.v_variable = dataset.variable('V(M/S)')
            vectors.w_variable = dataset.variable('W(M/S)')

            plot.show_slices = True
            slice_0 = plot.slice(0)

            slice_0.contour.show = True
            slice_0.contour.contour_type = ContourType.Overlay  # AKA "Both lines and flood"

            slice_0.effects.use_translucency = True
            slice_0.effects.surface_translucency = 30

            # Show an arbitrary slice
            slice_0.orientation = SliceSurface.Arbitrary
            slice_0.arbitrary_normal = (1, .5, 0)

            slice_0.show_primary_slice = False
            slice_0.show_start_and_end_slices = True
            slice_0.start_position = (-.21, .05, .025)
            slice_0.end_position = (1.342, .95, .475)
            slice_0.show_intermediate_slices = True
            slice_0.num_intermediate_slices = 3

            slice_0.edge.show = True
            slice_0.edge.line_thickness = 0.4

            # ensure consistent output between interactive (connected) and batch
            plot.contour(0).levels.reset_to_nice()

            tp.export.save_png('slice_group.png', 600, supersample=3)

        .. figure:: /_static/images/slice_group.png
            :width: 300px
            :figwidth: 300px

        Up to eight different slice groups can be set. Each slice group can use
        different slice planes or different ranges for the same slice plane.

            >>> slice_3 = plot.slice(3)
            >>> slice_3.contour.show = True

        .. seealso:: `SliceGroupCollection`
        """
        def __init__(self, plot, index):
            self.index = index
            super().__init__(plot, index)

        def _get_style(self, rettype, *svargs, **kwargs):
            return super()._get_style(rettype, *svargs, **kwargs)[0]

        def _position(self, svarg):
            if self.orientation in (SliceSurface.IPlanes,
                                    SliceSurface.JPlanes,
                                    SliceSurface.KPlanes):
                return session.IndexIJK(self, svarg)
            else:
                return session.XYZ(self, svarg)

        @tecutil.lock()
        def set_arbitrary_from_points(self, p1, p2, p3):
            """Set an arbitrary slice from 3 points.

            Set the normal and origin of an arbitrary slice using three points.
            The origin will be set to the 3rd point.

            The three points must not be coincident or collinear.
            The slice's origin is set to the third point and its normal
            is recalculated such that the cutting plane passes through all three
            points.

            Parameters:
                p1:  3-`tuple` of floats ``(x, y, z)``
                p2:  3-`tuple` of floats ``(x, y, z)``
                p3:  3-`tuple` of floats ``(x, y, z)``

            Example usage::

                >>> slice0 = plot.slice(0)
                >>> slice0.set_arbitrary_from_points((0.0, 0.0, 0.0),
                ...                                  (0.1, 0.2, 0.3),
                ...                                  (0.1, 0.1, 0.1))
            """
            uid = self._style_attrs[sv.UNIQUEID]
            points = list(it.chain(p1, p2, p3))
            if not _tecutil.SliceSetArbitraryUsingThreePoints(
                    uid, self.index + 1, *points):
                msg = 'Error creating arbitrary slice from three points'
                raise TecplotSystemError(msg)

        def extract(self, mode=ExtractMode.SingleZone, assign_strand_ids=True,
                    resulting_1d_zone_type=Resulting1DZoneType.IOrderedIfPossible,
                    transient_mode=TransientOperationMode.SingleSolutionTime):
            """Create new zones from this slice.

            Extracts the current slices represented by this group to the
            `Dataset` as one or more zones.

            Parameters:
                mode (`ExtractMode`, optional): Determines how many zones are
                    created upon extraction. Possible values are:
                    `ExtractMode.SingleZone` (default) and
                    `ExtractMode.OneZonePerConnectedRegion`.
                assign_strand_ids (`bool`, optional): Automatically assign strand
                    ID's to the created zones. (default: `True`)
                resulting_1d_zone_type (`Resulting1DZoneType`, optional): The type
                    of zone to create when the result is one-dimensional. Possible
                    values are: `Resulting1DZoneType.IOrderedIfPossible` (default)
                    and `Resulting1DZoneType.FELineSegment`.
                transient_mode (`TransientOperationMode`): Determines which
                    solution times are used to extract slices when transient data
                    is available in the dataset. Possible values are
                    `TransientOperationMode.SingleSolutionTime` (default) or
                    `TransientOperationMode.AllSolutionTimes`.

            Returns:

                The extracted zone is returned if **mode** is
                `ExtractMode.SingleZone` and **transient_mode** is
                `TransientOperationMode.SingleSolutionTime`, otherwise a generator_
                of the extracted zones.

            .. seealso:: `tecplot.data.extract.extract_slice()`

            Example usage::

                >>> slice_zone = plot.slice(0).extract()
            """
            result = super().extract(mode, assign_strand_ids,
                                     resulting_1d_zone_type, transient_mode)
            if (
                mode == ExtractMode.SingleZone and
                transient_mode == TransientOperationMode.SingleSolutionTime
            ):
                return list(result)[0]
            else:
                return result