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# Source code for tecplot.data.zone

    import logging

    from functools import reduce
    from textwrap import dedent

    from ..tecutil import _tecutil
    from ..constant import *
    from ..exception import *
    from ..tecutil import Index, inherited_property, lock, log_setattr
    from .array import Array
    from .face_neighbors import FaceNeighbors
    from .facemap import Facemap
    from .nodemap import Nodemap

    log = logging.getLogger(__name__)

    @log_setattr
    class Zone(object):
        def __init__(self, uid, dataset):
            self.uid = uid
            self.dataset = dataset

        def __str__(self):
            """Brief string representation.

            Returns:
                `string <str>`: Brief representation of this `Zone <data_access>`,
                showing a list of associated `Variables <Variable>`.

            Example::

                >>> rect_zone = dataset.zone('Rectangular zone')
                >>> print(rect_zone)
                Zone: 'Rectangular zone'
                  Dataset: 'My Dataset'
                  Type: Ordered
                  Shape: (10, 10, 10)
                  Variables: ['x', 'y', 'z']
            """
            fmt = dedent('''\
                Zone: '{}'
                  Dataset: '{}'
                  Type: {}
                  Shape: {}
                  Variables: {}''')
            vnames = [str(v.name) for v in self.dataset.variables()]
            return fmt.format(self.name, self.dataset.title, self.zone_type.name,
                              self._shape, vnames)

        def __repr__(self):
            """Executable string representation.

            Returns:
                `string <str>`: Internal representation of this `Zone
                <data_access>`.

            The string returned can be executed to generate a clone of this
            `Zone <data_access>` object::

                >>> rectzone = dataset.zone('Rectangular zone')
                >>> print(repr(rectzone))
                Zone(uid=31, Dataset(uid=21, frame=Frame(uid=11, page=Page(uid=1)))
                >>> exec('rectzone_clone = '+repr(rectzone))
                >>> rectzone_clone
                Zone(uid=31, Dataset(uid=21, frame=Frame(uid=11, page=Page(uid=1)))
                >>> rectzone == rectzone_clone
                True
            """
            return 'Zone(uid={uid}, dataset={dataset})'.format(
                uid=self.uid, dataset=repr(self.dataset))

        def __eq__(self, other):
            """Checks for equality in the |Tecplot Engine|.

            Returns:
                `bool`: `True` if the unique ID numbers are the same for both
                `Zones <data_access>`.
            """
            return self.uid == other.uid

        def __ne__(self, other):
            return not (self == other)

        @property
        def index(self):
            """Zero-based position within the parent `Dataset`.

            :type: `Index`

            This is the value used to obtain a specific zone if you have
            duplicately named zones in the dataset::

                >>> tp.new_layout()
                >>> frame = tp.active_frame()
                >>> dataset = frame.create_dataset('Dataset', ['x', 'y'])
                >>> dataset.add_ordered_zone('Zone', (10,10,10))
                >>> dataset.add_ordered_zone('Zone', (3,3,3))
                >>> # getting zone by name always returns first match
                >>> print(dataset.zone('Zone').index)
                0
                >>> # use index to get specific zone
                >>> print(dataset.zone(1).dimensions)
                (3, 3, 3)
            """
            return Index(_tecutil.ZoneGetNumByUniqueID(self.uid) - 1)

        @property
        def strand(self):
            """The strand ID number.

            :type: `integer <int>`

            Example usage::

                >>> dataset.zone('My Zone').strand = 2
            """
            with self.dataset.frame.activated():
                return _tecutil.ZoneGetStrandID(self.index + 1)

        @strand.setter
        @lock()
        def strand(self, value):
            with self.dataset.frame.activated():
                _tecutil.ZoneSetStrandID(self.index + 1, int(value))

        @property
        def solution_time(self):
            """The solution time for this zone.

            :type: `float`

            Example usage::

                >>> dataset.zone('My Zone').solution_time = 3.14
            """
            return _tecutil.ZoneGetSolutionTime(self.index + 1)

        @solution_time.setter
        @lock()
        def solution_time(self, value):
            with self.dataset.frame.activated():
                _tecutil.ZoneSetSolutionTime(self.index + 1, float(value))

        @property
        def zone_type(self):
            with self.dataset.frame.activated():
                return _tecutil.ZoneGetType(self.index + 1)

        @property
        def name(self):
            """The name of the zone.

            :type: `string <str>`

            Example usage::

                >>> dataset.zone(0).name = 'Zone 0'
            """
            res, zname = _tecutil.ZoneGetNameByDataSetID(self.dataset.uid,
                                                         self.index + 1)
            if not res:
                raise TecplotSystemError()
            return zname

        @name.setter
        @lock()
        def name(self, name):
            _tecutil.ZoneRenameByDataSetID(self.dataset.uid, self.index + 1, name)

        @property
        def num_variables(self):
            """Number of `Variables <Variable>` in the parent `Dataset`.

            :type: `integer <int>`

            Example usage, iterating over all variables by index::

                >>> for i in range(dataset.num_variables):
                ...     variable = dataset.variable(i)
            """
            return self.dataset.num_variables

        def values(self, pattern):
            """Returns an `Array` by index or string pattern.

            Parameters:
                pattern (`integer <int>` or `string <str>`):  Zero-based index or
                    `glob-style pattern <fnmatch.fnmatch>` in which case, the
                    first match is returned.

            The `Variable.name` attribute is used to match the *pattern* to the
            desired `Array` though this is not necessarily unique::

                >>> ds = frame.dataset
                >>> print(ds)
                Dataset:
                  Zones: ['Rectangular zone']
                  Variables: ['x', 'y', 'z']
                >>> zone = ds.zone('Rectangular zone')
                >>> x = zone.values('x')
                >>> x == zone.values(0)
                True
            """
            return Array(self, self.dataset.variable(pattern))

        def copy(self):
            """Duplicate this `Zone <data_access>` in the parent `Dataset`.

            The name is copied as well but can be set after duplication::

                >>> new_zone = dataset.zone('My Zone').copy()
                >>> print(new_zone.name)
                My Zone
                >>> new_zone.name = 'My Zone Copy'
                >>> print(new_zone.name)
                My Zone Copy
            """
            return self.dataset.copy_zones(self)[0]

        @property
        def _shape(self):
            return _tecutil.ZoneGetIJKByUniqueID(self.dataset.uid, self.index + 1)

    class OrderedZone(Zone):
        """An ordered ``(i, j, k)`` zone within a `Dataset`.

        Ordered zones contain nodal or cell-centered arrays where the connectivity
        is implied by the dimensions and ordering of the data.

        `Zones <data_access>` can be identified (uniquely) by the index with their
        parent `Dataset` or (non-uniquely) by name. In general, a `Variable` must
        be selected to access the underlying data array. This object is used by
        fieldmaps and linemaps to apply style to specific zones. Here we obtain the
        fieldmap associated with the zone named 'My Zone'::

            >>> fmap = plot.fieldmap(dataset.zone('My Zone'))
        """

        @property
        def dimensions(self):
            """Nodal dimensions along ``(i, j, k)``.

            Returns:
                `tuple` of `integers <int>`: ``(i, j, k)`` for ordered data.

            Example usage::

                >>> print(zone.dimensions)
                (128, 128, 128)
            """
            return self._shape

        @property
        def rank(self):
            """Number of dimensions of the data array.

            :type: `integer <int>`

            This will return the number of dimensions which contain more than one
            value::

                >>> zone = dataset.zone('My Zone')
                >>> print(zone.dimensions)
                (10, 10, 1)
                >>> print(zone.rank)
                2
            """
            return sum(s > 1 for s in self.dimensions)

        @property
        def num_points(self):
            """Total number of nodes within this zone.

            :type: `integer <int>`

            This is number of nodes within the zone and is equivalent to the
            product of the values in `OrderedZone.dimensions`. Example usage::

                >>> zone = dataset.zone('My Zone')
                >>> print(zone.dimensions)
                (128, 128, 128)
                >>> print(zone.num_points)
                2097152
            """
            return reduce(lambda x, y: x * y, self.dimensions, 1)

        @property
        def num_elements(self):
            """Number of cells in this zone.

            :type: `integer <int>`

            Example usage::

                >>> zone = dataset.zone('My Zone')
                >>> print(zone.dimensions)
                (128, 128, 128)
                >>> print(zone.num_elements)
                2048383
            """
            reduced_shape = list(filter(lambda x: x > 1, self.dimensions))
            return reduce(lambda x, y: x * (y - 1), reduced_shape or [1], 1)

        @property
        def num_points_per_element(self):
            """Points per cell for ordered zones.

            :type: `integer <int>`

            For ordered zones, this is :math:`2^{d}` where :math:`d` is the number
            of dimensions::

                >>> zone = dataset.zone('My Zone')
                >>> print(zone.dimensions)
                (10, 10, 1)
                >>> print(zone.rank)
                2
                >>> print(zone.num_points_per_element)
                4
            """
            ndim = self.rank
            return 2**ndim if ndim > 0 else 0

        @inherited_property(Zone)
        def zone_type(self):
            """The `ZoneType` indicating structure of the data contained.

            :type: `ZoneType`

            The specific type of zone this object represents::

                >>> print(dataset.zone(0).zone_type)
                ZoneType.Ordered
            """

    class FEZone(Zone):
        @property
        def num_points(self):
            """Total number of nodes within this zone.

            :type: `integer <int>`

            This is the total number of nodes in the zone. Example usage::

                >>> print(dataset.zone('My Zone').num_points)
                2048
            """
            return self._shape[0]

        @property
        def num_elements(self):
            """Number of cells in this finite-element zone.

            :type: `integer <int>`

            Example usage::

                >>> print(dataset.zone('My Zone').num_elements)
                1048576
            """
            return self._shape[1]

    class ClassicFEZone(FEZone):
        """A classic finite-element zone within a `Dataset`.

        Classic finite-element zones are arrays of nodes that are connected
        explicitly into pre-defined geometric shapes called "elements." The
        geometry is consistent across the whole zone so that the number of nodes
        per element is constant.

        `Zones <data_access>` can be identified (uniquely) by the index with their
        parent `Dataset` or (non-uniquely) by name. In general, a `Variable` must
        be selected to access the underlying data array. This object is used by
        fieldmaps and linemaps to apply style to specific zones. Here we obtain the
        fieldmap associated with the zone named 'My Zone'::

            >>> fmap = plot.fieldmap(dataset.zone('My Zone'))
        """

        @property
        def num_points_per_element(self):
            """Points per element for classic finite-element zones.

            :type: `integer <int>`

            The number of points (also known as nodes) per finite-element is
            determined from the ``zone_type`` parameter. The follow table shows the
            number of points per element for the available zone types along with
            the resulting shape of the nodemap based on the number of points
            specified (:math:`N`):

                ============== ============== ========================
                Zone Type      Points/Element Nodemap Shape
                ============== ============== ========================
                ``FELineSeg``  2              (:math:`N`, :math:`2 N`)
                ``FETriangle`` 3              (:math:`N`, :math:`3 N`)
                ``FEQuad``     4              (:math:`N`, :math:`4 N`)
                ``FETetra``    4              (:math:`N`, :math:`4 N`)
                ``FEBrick``    8              (:math:`N`, :math:`8 N`)
                ============== ============== ========================

            Example usage::

                >>> zone = dataset.zone('My Zone')
                >>> print(zone.zone_type)
                ZoneType.FETriangle
                >>> print(zone.num_points_per_element)
                3
            """
            return self.nodemap.num_points_per_element

        @property
        def nodemap(self):
            """The connectivity `Nodemap` for this classic finite-element zone.

            :type: `Nodemap`

            Example usage::

                >>> zone = dataset.zone(0)
                >>> print(zone.nodemap.num_points_per_element)
                4
            """
            return Nodemap(self)

        @inherited_property(Zone)
        def zone_type(self):
            """The `ZoneType` indicating structure of the data contained.

            :type: `ZoneType`

            The specific type of zone this object represents::

                >>> print(dataset.zone(0).zone_type)
                ZoneType.FEBrick
            """

        @property
        def rank(self):
            """Number of dimensions of the data array.

            :type: `integer <int>`

            This indicates the dimensionality of the data and is dependent on the
            type of element this zone contains:

                ============== ====
                Zone Type      Rank
                ============== ====
                ``FELineSeg``  1
                ``FETriangle`` 2
                ``FEQuad``     2
                ``FETetra``    3
                ``FEBrick``    3
                ============== ====

            Example usage::

                >>> zone = dataset.zone('My Zone')
                >>> print(zone.zone_type)
                ZoneType.FEBrick
                >>> print(zone.rank)
                3
            """
            _rank = {ZoneType.FELineSeg: 1,
                     ZoneType.FETriangle: 2,
                     ZoneType.FEQuad: 2,
                     ZoneType.FETetra: 3,
                     ZoneType.FEBrick: 3}
            return _rank[self.zone_type]

    class PolyFEZone(FEZone):
        """A polygonal finite-element zone within a `Dataset`.

        A polygonal zone consists of arrays of nodes which are connected explicitly
        into arbitrary and varying geometric elements. These elements are 2D or 3D
        in nature and have a number of faces (connections between nodes) which hold
        the concept of a left and right neighbor.

        `Zones <data_access>` can be identified (uniquely) by the index with their
        parent `Dataset` or (non-uniquely) by name. In general, a `Variable` must
        be selected to access the underlying data array. This object is used by
        fieldmaps and linemaps to apply style to specific zones. Here we obtain the
        fieldmap associated with the zone named 'My Zone'::

            >>> fmap = plot.fieldmap(dataset.zone('My Zone'))
        """

        @property
        def num_faces(self):
            """Number of faces in this finite-element zone.

            :type: `integer <int>`

            The number of faces may be ``0`` if unknown or facemap creation is
            deferred. Example usage::

                >>> print(dataset.zone('My Zone').num_faces)
                1048576
            """
            return self._shape[2]

        @property
        def rank(self):
            """Number of dimensions of the data array.

            :type: `integer <int>`

            This indicates the dimensionality of the data and is dependent on the
            type of element this zone contains:

                ================ ====
                Zone Type        Rank
                ================ ====
                ``FEPolygon``    2
                ``FEPolyhedron`` 3
                ================ ====

            Example usage::

                >>> zone = dataset.zone('My Zone')
                >>> print(zone.zone_type)
                ZoneType.FEPolygon
                >>> print(zone.rank)
                2
            """
            _rank = {ZoneType.FEPolygon: 2,
                     ZoneType.FEPolyhedron: 3}
            return _rank[self.zone_type]

        @lock()
        def create_facemap(self, face_nodes, boundary_faces, boundary_connections):
            """Allocate space for the facemap.

            Parameters:
                face_nodes (`int`):  Total number of nodes for all faces. This is
                    not the number of unique nodes but the total number. For
                    example if a facemap defines two triangle polygons that share a
                    common face, ``faces`` would be 5 and ``face_nodes`` would be
                    6, not 4.
                boundary_faces (`int`): Total number of boundary faces.
                boundary_connections (`int`): Total number of boundary face
                    elements or boundary face element/zone pairs.

            If the zone does not already have space allocated for a facemap, then
            this must be called before accessing it::

                >>> zone.create_facemap(400, 25, 50)
                >>> facemap = zone.facemap
            """
            if not _tecutil.DataFaceMapAlloc(self.index + 1, self.num_faces,
                                             face_nodes, boundary_faces,
                                             boundary_connections):
                raise TecplotSystemError()
            return self.facemap

        @property
        def facemap(self):
            """The connectivity `Facemap` for this polygonal finite-element zone.

            :type: `Facemap`

            Example usage::

                >>> zone = dataset.zone(0)
                >>> print(zone.facemap.num_faces)
                4500
            """
            return Facemap(self)

        @property
        def face_neighbors(self):
            """The face neighbor list for this polygonal finite-element zone.

            :type: `FaceNeighbors`

            Example usage::

                >>> zone = dataset.zone(0)
                >>> print(zone.face_neighbors.mode)
                FaceNeighborMode.LocalOneToMany
            """
            return FaceNeighbors(self)

        @inherited_property(Zone)
        def zone_type(self):
            """The `ZoneType` indicating structure of the data contained.

            :type: `ZoneType`

            The specific type of zone this object represents::

                >>> print(dataset.zone(0).zone_type)
                ZoneType.FEPolygon
            """

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