from builtins import int

import itertools
from ..constant import *
from ..exception import *
from ..session import Style
from ..tecutil import Index, sv, _tecutil, color_spec
from numbers import Integral
from collections import namedtuple
from ..tecutil.util import lock


class SliceGroupStyle(Style):
    def __init__(self, slice_group, *svargs):
        self.slice_group = slice_group
        kw = dict(uniqueid=slice_group.plot.frame.uid,
                  offset1=slice_group.index)
        super().__init__(slice_group._sv, *svargs, **kw)


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

        .. code-block:: python
            :emphasize-lines: 11-12

            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, '3D_Volume', '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

            tp.export.save_png('slice_mesh.png', 300)

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

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

        :type: `boolean <bool>`

        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):
        """Slice mesh line `Color` or `ContourGroup`.

        :type: `Color` or `ContourGroup`

        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 color_spec(self._get_style(Color, sv.COLOR),
                          self.slice_group.plot)

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

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

        :type: `float`

        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(SliceGroupStyle):
    """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, '3D', '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', 300)

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

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

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

        :type: `boolean <bool>`

        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):
        """Shade color.

        :type: `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):
        """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.

        :type: `Boolean <bool>`

        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(SliceGroupStyle):
    """Slice effects for this slice.

        .. code-block:: python
            :emphasize-lines: 16-18

            from os import path
            import tecplot as tp

            examples_dir = tp.session.tecplot_examples_directory()
            datafile = path.join(examples_dir, '3D_Volume', '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

            tp.export.save_png('slice_effects.png', 600)

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


    """
    def __init__(self, effects):
        super().__init__(effects, sv.EFFECTS)

    @property
    def lighting_effect(self):
        """Lighting effect.

        :type: `LightingEffect`

        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):
        """Surface translucency of the slice group.

        :type: `integer <int>`

        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):
        """Enable surface translucency for this slice group.

        :type: `boolean <bool>`

        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(SliceGroupStyle):
    """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: 14-17

            from os import path
            import tecplot as tp

            examples_dir = tp.session.tecplot_examples_directory()
            datafile = path.join(examples_dir, '3D_Volume', '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.edge.show = True
            slice_0.edge.line_thickness = 0.8

            tp.export.save_png('slice_edge.png', 600)

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

    """

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

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

        :type: `EdgeType`

        There are two types of edges in |Tecplot 360 EX|:
        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):
        """Show edges.

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

        :type: `boolean <bool>`

        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):
        """Edge color.

        :type: `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):
        """Edge line thickness as a percentage of frame width.

        :type: `float`

        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(SliceGroupStyle):
    """Vector attributes of the slice group.

    .. code-block:: python
        :emphasize-lines: 13-21

        from os import path
        import tecplot as tp

        examples_dir = tp.session.tecplot_examples_directory()
        datafile = path.join(examples_dir, '3D', 'Arrow.plt')
        dataset = tp.data.load_tecplot(datafile)

        plot = tp.active_frame().plot()
        plot.contour(0).variable_index = dataset.variable('Z').index

        plot.show_slices = True

        # Vector variables must be assigned before displaying
        vector_3D = tp.plot.Vector3D(plot)
        vector_3D.u_variable_index = 1
        vector_3D.v_variable_index = 2
        vector_3D.w_variable_index = 3

        slice_vector = plot.slice(0).vector
        slice_vector.show = True

        tp.export.save_png('slice_vector.png', 300)

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

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

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

        :type: `boolean <bool>`

        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):
        """Set slice vector color.

        :type: `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):
        """Use tangent vectors for slices.

        :type: `boolean <bool>`

        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):
        """Vector line thickness as a percentage of the frame height.

        :type: `float`

        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):
        """Type of vector for slices in this slice group.

        :type: `VectorType`

        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):
        """Arrowhead style of slice vectors.

        :type: `ArrowheadStyle`

        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(SliceGroupStyle):
    """Contour attributes of the slice group.

    .. code-block:: python
        :emphasize-lines: 13-16

        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, '3D_Volume', '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.contour.contour_type = ContourType.Overlay  # AKA "Both lines and flood"

        slice_0.show_start_and_end_slices = True

        # Show an arbitrary slice
        slice_0.orientation = SliceSurface.Arbitrary
        slice_0.arbitrary_normal = (1, -.25, 0)
        slice_0.origin = (.19, .5, .25)  # AKA Primary Slice Position

        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

        tp.export.save_png('slice_contour.png', 600)

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

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

        :type: `bool`

        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):
        """Contour type for the slice contours.

        :type: `ContourType`

        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` of contour lines.

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

        :type: `Color`

        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):
        """Contour line thickness as a percentage of frame width.

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

        :type: `float`

        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):
        """The `Index` of the `ContourGroup` to use for flooding.

        :type: `Index` (zero-based index)

        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(Index, sv.FLOODCOLORING)

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

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

        :type: `ContourGroup`

        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
        """
        return self.plot.contour(self.flood_contour_group_index)

    @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):
        """The `Index` of the `ContourGroup` to use for contour lines.

        :type: `integer <int>` (zero-based index)

        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(Index, sv.LINECONTOURGROUP)

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

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

        :type: `ContourGroup`

        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
        """
        return self.plot.contour(self.line_contour_group_index)

    @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):
        """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`.

        :type: `boolean <bool>`

        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 SliceGroup(Style):
    """Change attributes associated with slices.

    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: 17-43

        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, '3D_Volume', 'ductflow.plt')
        dataset = tp.data.load_tecplot(datafile)

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

        vector_3D = tp.plot.Vector3D(plot)
        vector_3D.u_variable_index = 3  # U(M/S)
        vector_3D.v_variable_index = 4  # V(M/S)
        vector_3D.w_variable_index = 5  # 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

        slice_0.show_start_and_end_slices = True

        # Show an arbitrary slice
        slice_0.orientation = SliceSurface.Arbitrary
        slice_0.arbitrary_normal = (1, -.25, 0)
        slice_0.origin = (.19, .5, .25)  # AKA Primary Slice Position

        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.vector.show = True

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

        tp.export.save_png('slice_example.png', 300)

    .. figure:: /_static/images/slice_example.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
    """
    def __init__(self, index, plot):
        if __debug__:
            assert 0 <= index < 8, 'Slice index out of range (must be < 8)'
        self.index = Index(index)
        self.plot = plot
        super().__init__(sv.SLICEATTRIBUTES, uniqueid=self.plot.frame.uid,
                         offset1=self.index)

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

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

    _XYZ = namedtuple('XYZ', ['x', 'y', 'z'])
    _XYZ.__new__.__defaults__ = (None, None, None)

    def _is_ijk(self):
        return self.orientation in (
            SliceSurface.IPlanes,
            SliceSurface.JPlanes,
            SliceSurface.KPlanes)

    class _SlicePosition(object):
        """Internal slice position type.

            Looks and quacks like a quasi 3-tuple
            of floats (xyz) or ints (ijk).

            Allows access by float 'x', 'y', 'z' if the parent slice has
            XYZ orientation, or int 'i','j','k' if the parent slice has
            IJK orientation.

            Overloads +=, -=, add/sub/neg.
        """
        # Alternatively we could subclass tuple
        def __init__(self, parent_slice, x_or_i, y_or_j, z_or_k):
            assert isinstance(parent_slice, SliceGroup)
            assert isinstance(x_or_i, (float, Integral))
            assert isinstance(y_or_j, (float, Integral))
            assert isinstance(z_or_k, (float, Integral))
            self._parent_slice = parent_slice
            self._x_or_i = x_or_i
            self._y_or_j = y_or_j
            self._z_or_k = z_or_k

        def _is_ijk(self):
            return self._parent_slice._is_ijk()

        @property
        def x(self):
            if __debug__ and self._is_ijk():
                raise AttributeError('Cannot access "x" for IJK slice position')
            return self._x_or_i

        @property
        def y(self):
            if __debug__ and self._is_ijk():
                raise AttributeError('Cannot access "y" for IJK slice position')
            return self._y_or_j

        @property
        def z(self):
            if __debug__ and self._is_ijk():
                raise AttributeError('Cannot access "z" for IJK slice position')
            return self._z_or_k

        @property
        def i(self):
            if __debug__ and not self._is_ijk():
                raise AttributeError('Cannot access "i" for XYZ slice position')
            return self._x_or_i

        @property
        def j(self):
            if __debug__ and not self._is_ijk():
                raise AttributeError('Cannot access "j" for XYZ slice position')
            return self._y_or_j

        @property
        def k(self):
            if __debug__ and not self._is_ijk():
                raise AttributeError('Cannot access "k" for XYZ slice position')
            return self._z_or_k

        def __neg__(self):
            self._x_or_i = -self._x_or_i
            self._y_or_j = -self._y_or_j
            self._z_or_k = -self._z_or_k
            return self

        def __iadd__(self, other):  # operator +=
            if isinstance(other, (tuple, list, SliceGroup._SlicePosition)) and (
                          len(other) == 3):
                self._x_or_i += other[0]
                self._y_or_j += other[1]
                self._z_or_k += other[2]
            else:
                raise TecplotAttributeError('Expected a 3-tuple of floats or ints')

            return self

        def __isub__(self, other):  # operator -=
            return self.__iadd__((-other[0], -other[1], -other[2]))

        def __iter__(self):  # This lets us to cast to a real tuple
            yield self._x_or_i
            yield self._y_or_j
            yield self._z_or_k

        def __getitem__(self, item):
            if not 0 <= item <= 2:
                raise IndexError('Slice position tuple '
                                 'index must be between 0 and 2')
            return tuple(self)[item]

        def __str__(self):
            return 'Slice Position: ({x}, {y}, {z})'.format(
                x=self._x_or_i, y=self._y_or_j, z=self._z_or_k)

        def __eq__(self, other):
            return tuple(self) == tuple(other)

        def __len__(self):
            return 3

    def _set_slice_position(self, value, style):
        if not isinstance(value, (tuple, list, SliceGroup._SlicePosition)):
            raise TecplotLogicError(
                'Slice position must be a 3-tuple of floats or ints')
        if self._is_ijk():
            self._set_style(int(value[0]), style, sv.I)
            self._set_style(int(value[1]), style, sv.J)
            self._set_style(int(value[2]), style, sv.K)
        else:
            self._set_style(float(value[0]), style, sv.X)
            self._set_style(float(value[1]), style, sv.Y)
            self._set_style(float(value[2]), style, sv.Z)
        pass

    def _get_slice_position(self, style):
        is_ijk = self._is_ijk()
        pos = (sv.I, sv.J, sv.K) if is_ijk else (sv.X, sv.Y, sv.Z)
        style_type = int if is_ijk else float

        result = self._SlicePosition(self,
                                     self._get_style(style_type, style, pos[0]),
                                     self._get_style(style_type, style, pos[1]),
                                     self._get_style(style_type, style, pos[2]))
        return result

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

        :type:  `SliceVector`

        Example usage::

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

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

        :type: `SliceEdge`

        Example usage::

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

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

            :type: `SliceEffects`

            Example usage::

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

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

        :type: `SliceShade`

        Example usage::

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

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

        :type: `SliceMesh`

        Example usage::

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

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

        :type: `bool`

        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):
        """Include the primary slice (first slice placed) in the `Plot`.

        :type: `bool`

        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):
        """Contour attributes for the slice group.

        :type: `SliceContour`

        Example usage::

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

    @property
    def orientation(self):
        """Select which plane the slice is drawn on (X,Y,Z, I, J, K or arbitrary).

        :type: `SliceSurface`

        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):
        """Normal for arbitrary slices.

        :type: 3-`tuple` of floats

        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 self._XYZ(self._get_style(float, sv.NORMAL, sv.X),
                         self._get_style(float, sv.NORMAL, sv.Y),
                         self._get_style(float, sv.NORMAL, sv.Z))

    @arbitrary_normal.setter
    def arbitrary_normal(self, value):
        self._set_style(float(value[0]), sv.NORMAL, sv.X)
        self._set_style(float(value[1]), sv.NORMAL, sv.Y)
        self._set_style(float(value[2]), sv.NORMAL, sv.Z)

    @property
    def origin(self):
        """Origin of the slice.

        :type: 3-`tuple` of floats

        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._get_slice_position(sv.PRIMARYPOSITION)

    @origin.setter
    def origin(self, value):
        self._set_slice_position(value, sv.PRIMARYPOSITION)

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

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

        :type: `integer <int>`

        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):
        """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.

        :type: `boolean <bool>`

        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):
        """`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>`.

        :type: `SliceSource`

        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):
        """Include start and end slices.

        :type: `boolean <bool>`

        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 end_position(self):
        """Position of the end slice.

        `SliceGroup.show_start_and_end_slices` must be `True` to show the end
        slice.

        :type: 3-`tuple` of floats

        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._get_slice_position(sv.ENDPOSITION)

    @end_position.setter
    def end_position(self, value):
        self._set_slice_position(value, sv.ENDPOSITION)

    @property
    def start_position(self):
        """Position of the start slice.

        `SliceGroup.show_start_and_end_slices` must be `True` to show the start
        slice.

        :type: 3-`tuple` of floats

        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._get_slice_position(sv.STARTPOSITION)

    @start_position.setter
    def start_position(self, value):
        self._set_slice_position(value, sv.STARTPOSITION)

    @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
            p2:  3-`tuple` of floats
            p3:  3-`tuple` of floats

        Example usage::

            >>> slice_0 = plot.slice(0)
            >>> slice_0.set_arbitrary_from_points((0,0,0), (.1,.2,.3), (.1,.1,.1))
        """
        if not _tecutil.SliceSetArbitraryUsingThreePoints(
                self.uniqueid, self.offset1+1, *itertools.chain(p1, p2, p3)):
                    raise TecplotSystemError(
                        'Error creating arbitrary slice from three points')
