12776996362

Committed 14 Jan 2025 09:49PM UTC coverage: 84.938% (+0.2%) from 84.729%

Build # 12776996362

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Pull #3133

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Merge 0495246d9 into 549cc0973

Pull Request Pull Request #3133: Kinetics parameters using Iterated Fission Probability

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93.94

/openmc/cell.py

from collections.abc import Iterable
from math import cos, sin, pi
from numbers import Real

import lxml.etree as ET
import numpy as np
from uncertainties import UFloat

import openmc
import openmc.checkvalue as cv
from ._xml import get_text
from .mixin import IDManagerMixin
from .region import Region, Complement
from .surface import Halfspace
from .bounding_box import BoundingBox


class Cell(IDManagerMixin):
    r"""A region of space defined as the intersection of half-space created by
    quadric surfaces.

    Parameters
    ----------
    cell_id : int, optional
        Unique identifier for the cell. If not specified, an identifier will
        automatically be assigned.
    name : str, optional
        Name of the cell. If not specified, the name is the empty string.
    fill : openmc.Material or openmc.UniverseBase or openmc.Lattice or None or iterable of openmc.Material, optional
        Indicates what the region of space is filled with
    region : openmc.Region, optional
        Region of space that is assigned to the cell.

    Attributes
    ----------
    id : int
        Unique identifier for the cell
    name : str
        Name of the cell
    fill : openmc.Material or openmc.UniverseBase or openmc.Lattice or None or iterable of openmc.Material
        Indicates what the region of space is filled with. If None, the cell is
        treated as a void. An iterable of materials is used to fill repeated
        instances of a cell with different materials.
    fill_type : {'material', 'universe', 'lattice', 'distribmat', 'void'}
        Indicates what the cell is filled with.
    region : openmc.Region or None
        Region of space that is assigned to the cell.
    rotation : Iterable of float
        If the cell is filled with a universe, this array specifies the angles
        in degrees about the x, y, and z axes that the filled universe should be
        rotated. The rotation applied is an intrinsic rotation with specified
        Tait-Bryan angles. That is to say, if the angles are :math:`(\phi,
        \theta, \psi)`, then the rotation matrix applied is :math:`R_z(\psi)
        R_y(\theta) R_x(\phi)` or

        .. math::

           \left [ \begin{array}{ccc} \cos\theta \cos\psi & -\cos\phi \sin\psi
           + \sin\phi \sin\theta \cos\psi & \sin\phi \sin\psi + \cos\phi
           \sin\theta \cos\psi \\ \cos\theta \sin\psi & \cos\phi \cos\psi +
           \sin\phi \sin\theta \sin\psi & -\sin\phi \cos\psi + \cos\phi
           \sin\theta \sin\psi \\ -\sin\theta & \sin\phi \cos\theta & \cos\phi
           \cos\theta \end{array} \right ]

        A rotation matrix can also be specified directly by setting this
        attribute to a nested list (or 2D numpy array) that specifies each
        element of the matrix.
    rotation_matrix : numpy.ndarray
        The rotation matrix defined by the angles specified in the
        :attr:`Cell.rotation` property.
    temperature : float or iterable of float
        Temperature of the cell in Kelvin.  Multiple temperatures can be given
        to give each distributed cell instance a unique temperature.
    translation : Iterable of float
        If the cell is filled with a universe, this array specifies a vector
        that is used to translate (shift) the universe.
    paths : list of str
        The paths traversed through the CSG tree to reach each cell
        instance. This property is initialized by calling the
        :meth:`Geometry.determine_paths` method.
    num_instances : int
        The number of instances of this cell throughout the geometry.
    volume : float
        Volume of the cell in cm^3. This can either be set manually or
        calculated in a stochastic volume calculation and added via the
        :meth:`Cell.add_volume_information` method. For 'distribmat' cells
        it is the total volume of all instances.
    atoms : dict
        Mapping of nuclides to the total number of atoms for each nuclide
        present in the cell, or in all of its instances for a 'distribmat'
        fill. For example, {'U235': 1.0e22, 'U238': 5.0e22, ...}.

        .. versionadded:: 0.12
    bounding_box : openmc.BoundingBox
        Axis-aligned bounding box of the cell

    """

    next_id = 1
    used_ids = set()

    def __init__(self, cell_id=None, name='', fill=None, region=None):
        # Initialize Cell class attributes
        self.id = cell_id
        self.name = name
        self.fill = fill
        self.region = region
        self._rotation = None
        self._rotation_matrix = None
        self._temperature = None
        self._translation = None
        self._paths = None
        self._num_instances = None
        self._volume = None
        self._atoms = None

    def __contains__(self, point):
        if self.region is None:
            return True
        else:
            return point in self.region

    def __repr__(self):
        string = 'Cell\n'
        string += '{: <16}=\t{}\n'.format('\tID', self.id)
        string += '{: <16}=\t{}\n'.format('\tName', self.name)

        if self.fill_type == 'material':
            string += '{: <16}=\tMaterial {}\n'.format('\tFill', self.fill.id)
        elif self.fill_type == 'void':
            string += '{: <16}=\tNone\n'.format('\tFill')
        elif self.fill_type == 'distribmat':
            string += '{: <16}=\t{}\n'.format('\tFill', list(map(
                lambda m: m if m is None else m.id, self.fill)))
        else:
            string += '{: <16}=\t{}\n'.format('\tFill', self.fill.id)

        string += '{: <16}=\t{}\n'.format('\tRegion', self.region)
        string += '{: <16}=\t{}\n'.format('\tRotation', self.rotation)
        if self.fill_type == 'material':
            string += '\t{0: <15}=\t{1}\n'.format('Temperature',
                                                  self.temperature)
        string += '{: <16}=\t{}\n'.format('\tTranslation', self.translation)
        string += '{: <16}=\t{}\n'.format('\tVolume', self.volume)

        return string

    @property
    def name(self):
        return self._name

    @name.setter
    def name(self, name):
        if name is not None:
            cv.check_type('cell name', name, str)
            self._name = name
        else:
            self._name = ''

    @property
    def fill(self):
        return self._fill

    @fill.setter
    def fill(self, fill):
        if fill is not None:
            if isinstance(fill, Iterable):
                for i, f in enumerate(fill):
                    if f is not None:
                        cv.check_type('cell.fill[i]', f, openmc.Material)

            elif not isinstance(fill, (openmc.Material, openmc.Lattice,
                                       openmc.UniverseBase)):
                msg = (f'Unable to set Cell ID="{self._id}" to use a '
                       f'non-Material or Universe fill "{fill}"')
                raise ValueError(msg)
        self._fill = fill

        # Info about atom content can now be invalid
        # (since fill has just changed)
        self._atoms = None

    @property
    def fill_type(self):
        if isinstance(self.fill, openmc.Material):
            return 'material'
        elif isinstance(self.fill, openmc.UniverseBase):
            return 'universe'
        elif isinstance(self.fill, openmc.Lattice):
            return 'lattice'
        elif isinstance(self.fill, Iterable):
            return 'distribmat'
        else:
            return 'void'

    @property
    def region(self):
        return self._region

    @region.setter
    def region(self, region):
        if region is not None:
            cv.check_type('cell region', region, Region)
        self._region = region

    @property
    def rotation(self):
        return self._rotation

    @rotation.setter
    def rotation(self, rotation):
        cv.check_length('cell rotation', rotation, 3)
        self._rotation = np.asarray(rotation)

        # Save rotation matrix -- the reason we do this instead of having it be
        # automatically calculated when the rotation_matrix property is accessed
        # is so that plotting on a rotated geometry can be done faster.
        if self._rotation.ndim == 2:
            # User specified rotation matrix directly
            self._rotation_matrix = self._rotation
        else:
            phi, theta, psi = self.rotation*(-pi/180.)
            c3, s3 = cos(phi), sin(phi)
            c2, s2 = cos(theta), sin(theta)
            c1, s1 = cos(psi), sin(psi)
            self._rotation_matrix = np.array([
                [c1*c2, c1*s2*s3 - c3*s1, s1*s3 + c1*c3*s2],
                [c2*s1, c1*c3 + s1*s2*s3, c3*s1*s2 - c1*s3],
                [-s2, c2*s3, c2*c3]])

    @property
    def rotation_matrix(self):
        return self._rotation_matrix

    @property
    def temperature(self):
        return self._temperature

    @temperature.setter
    def temperature(self, temperature):
        # Make sure temperatures are positive
        cv.check_type('cell temperature', temperature, (Iterable, Real), none_ok=True)
        if isinstance(temperature, Iterable):
            cv.check_type('cell temperature', temperature, Iterable, Real)
            for T in temperature:
                cv.check_greater_than('cell temperature', T, 0.0, True)
        elif isinstance(temperature, Real):
            cv.check_greater_than('cell temperature', temperature, 0.0, True)

        # If this cell is filled with a universe or lattice, propagate
        # temperatures to all cells contained. Otherwise, simply assign it.
        if self.fill_type in ('universe', 'lattice'):
            for c in self.get_all_cells().values():
                if c.fill_type == 'material':
                    c._temperature = temperature
        else:
            self._temperature = temperature

    @property
    def translation(self):
        return self._translation

    @translation.setter
    def translation(self, translation):
        cv.check_type('cell translation', translation, Iterable, Real)
        cv.check_length('cell translation', translation, 3)
        self._translation = np.asarray(translation)

    @property
    def volume(self):
        return self._volume

    @volume.setter
    def volume(self, volume):
        if volume is not None:
            cv.check_type('cell volume', volume, (Real, UFloat))
            cv.check_greater_than('cell volume', volume, 0.0, equality=True)

        self._volume = volume

        # Info about atom content can now be invalid
        # (since volume has just changed)
        self._atoms = None

    @property
    def atoms(self):
        if self._atoms is None:
            if self._volume is None:
                msg = ('Cannot calculate atom content because no volume '
                       'is set. Use Cell.volume to provide it or perform '
                       'a stochastic volume calculation.')
                raise ValueError(msg)

            elif self.fill_type == 'void':
                msg = ('Cell is filled with void. It contains no atoms. '
                       'Material must be set to calculate atom content.')
                raise ValueError(msg)

            elif self.fill_type in ['lattice', 'universe']:
                msg = ('Universe and Lattice cells can contain multiple '
                       'materials in diffrent proportions. Atom content must '
                       'be calculated with stochastic volume calculation.')
                raise ValueError(msg)

            elif self.fill_type == 'material':
                # Get atomic densities
                self._atoms = self._fill.get_nuclide_atom_densities()

                # Convert to total number of atoms
                for key, atom_per_bcm in self._atoms.items():
                    atom = atom_per_bcm * self._volume * 1.0e+24
                    self._atoms[key] = atom

            elif self.fill_type == 'distribmat':
                # Assumes that volume is total volume of all instances
                # Also assumes that all instances have the same volume
                partial_volume = self.volume / len(self.fill)
                self._atoms = {}
                for mat in self.fill:
                    for key, atom_per_bcm in mat.get_nuclide_atom_densities().items():
                        # To account for overlap of nuclides between distribmat
                        # we need to append new atoms to any existing value
                        # hence it is necessary to ask for default.
                        atom = self._atoms.setdefault(key, 0)
                        atom += atom_per_bcm * partial_volume * 1.0e+24
                        self._atoms[key] = atom

            else:
                msg = f'Unrecognized fill_type: {self.fill_type}'
                raise ValueError(msg)

        return self._atoms

    @property
    def paths(self):
        if self._paths is None:
            raise ValueError('Cell instance paths have not been determined. '
                             'Call the Geometry.determine_paths() method.')
        return self._paths

    @property
    def bounding_box(self):
        if self.region is not None:
            return self.region.bounding_box
        else:
            return BoundingBox.infinite()

    @property
    def num_instances(self):
        if self._num_instances is None:
            raise ValueError(
                'Number of cell instances have not been determined. Call the '
                'Geometry.determine_paths() method.')
        return self._num_instances

    def add_volume_information(self, volume_calc):
        """Add volume information to a cell.

        Parameters
        ----------
        volume_calc : openmc.VolumeCalculation
            Results from a stochastic volume calculation

        """
        if volume_calc.domain_type == 'cell':
            if self.id in volume_calc.volumes:
                self._volume = volume_calc.volumes[self.id].n
                self._atoms = volume_calc.atoms[self.id]
            else:
                raise ValueError('No volume information found for this cell.')
        else:
            raise ValueError('No volume information found for this cell.')

    def get_nuclides(self):
        """Returns all nuclides in the cell

        Returns
        -------
        nuclides : list of str
            List of nuclide names

        """
        return self.fill.get_nuclides() if self.fill_type != 'void' else []

    def get_nuclide_densities(self):
        """Return all nuclides contained in the cell and their densities

        Returns
        -------
        nuclides : dict
            Dictionary whose keys are nuclide names and values are 2-tuples of
            (nuclide, density)

        """

        nuclides = {}

        if self.fill_type == 'material':
            nuclides.update(self.fill.get_nuclide_densities())
        elif self.fill_type == 'void':
            pass
        else:
            if self._atoms is not None:
                volume = self.volume
                for name, atoms in self._atoms.items():
                    nuclide = openmc.Nuclide(name)
                    density = 1.0e-24 * atoms.n/volume  # density in atoms/b-cm
                    nuclides[name] = (nuclide, density)
            else:
                raise RuntimeError(
                    'Volume information is needed to calculate microscopic '
                    f'cross sections for cell {self.id}. This can be done by '
                    'running a stochastic volume calculation via the '
                    'openmc.VolumeCalculation object')

        return nuclides

    def get_all_cells(self, memo=None):
        """Return all cells that are contained within this one if it is filled with a
        universe or lattice

        Returns
        -------
        cells : dict
            Dictionary whose keys are cell IDs and values are :class:`Cell`
            instances

        """
        if memo is None:
            memo = set()
        elif self in memo:
            return {}
        memo.add(self)

        cells = {}
        if self.fill_type in ('universe', 'lattice'):
            cells.update(self.fill.get_all_cells(memo))

        return cells

    def get_all_materials(self, memo=None):
        """Return all materials that are contained within the cell

        Returns
        -------
        materials : dict
            Dictionary whose keys are material IDs and values are
            :class:`Material` instances

        """
        materials = {}
        if self.fill_type == 'material':
            materials[self.fill.id] = self.fill
        elif self.fill_type == 'distribmat':
            for m in self.fill:
                if m is not None:
                    materials[m.id] = m
        else:
            # Append all Cells in each Cell in the Universe to the dictionary
            cells = self.get_all_cells(memo)
            for cell in cells.values():
                materials.update(cell.get_all_materials(memo))

        return materials

    def get_all_universes(self, memo=None):
        """Return all universes that are contained within this one if any of
        its cells are filled with a universe or lattice.

        Returns
        -------
        universes : dict
            Dictionary whose keys are universe IDs and values are
            :class:`Universe` instances

        """
        if memo is None:
            memo = set()
        if self in memo:
            return {}
        memo.add(self)

        universes = {}
        if self.fill_type == 'universe':
            universes[self.fill.id] = self.fill
            universes.update(self.fill.get_all_universes(memo))
        elif self.fill_type == 'lattice':
            universes.update(self.fill.get_all_universes(memo))

        return universes

    def clone(self, clone_materials=True, clone_regions=True, memo=None):
        """Create a copy of this cell with a new unique ID, and clones
        the cell's region and fill.

        Parameters
        ----------
        clone_materials : bool
            Whether to create separate copies of the materials filling cells
            contained in this cell, or the material filling this cell.
        clone_regions : bool
            Whether to create separate copies of the regions bounding cells
            contained in this cell, and the region bounding this cell.
        memo : dict or None
            A nested dictionary of previously cloned objects. This parameter
            is used internally and should not be specified by the user.

        Returns
        -------
        clone : openmc.Cell
            The clone of this cell

        """

        if memo is None:
            memo = {}

        # If no memoize'd clone exists, instantiate one
        if self not in memo:
            # Temporarily remove paths
            paths = self._paths
            self._paths = None

            clone = openmc.Cell(name=self.name)
            clone.volume = self.volume
            if self.temperature is not None:
                clone.temperature = self.temperature
            if self.translation is not None:
                clone.translation = self.translation
            if self.rotation is not None:
                clone.rotation = self.rotation
            clone._num_instances = None

            # Restore paths on original instance
            self._paths = paths

            if self.region is not None:
                if clone_regions:
                    clone.region = self.region.clone(memo)
                else:
                    clone.region = self.region
            if self.fill is not None:
                if self.fill_type == 'distribmat':
                    if not clone_materials:
                        clone.fill = self.fill
                    else:
                        clone.fill = [fill.clone(memo) if fill is not None else
                                      None for fill in self.fill]
                elif self.fill_type == 'material':
                    if not clone_materials:
                        clone.fill = self.fill
                    else:
                        clone.fill = self.fill.clone(memo)
                else:
                    clone.fill = self.fill.clone(clone_materials,
                         clone_regions, memo)

            # Memoize the clone
            memo[self] = clone

        return memo[self]

    def plot(self, *args, **kwargs):
        """Display a slice plot of the cell.

        .. versionadded:: 0.14.0

        Parameters
        ----------
        origin : iterable of float
            Coordinates at the origin of the plot. If left as None then the
            bounding box center will be used to attempt to ascertain the origin.
            Defaults to (0, 0, 0) if the bounding box is not finite
        width : iterable of float
            Width of the plot in each basis direction. If left as none then the
            bounding box width will be used to attempt to ascertain the plot
            width. Defaults to (10, 10) if the bounding box is not finite
        pixels : Iterable of int or int
            If iterable of ints provided, then this directly sets the number of
            pixels to use in each basis direction. If int provided, then this
            sets the total number of pixels in the plot and the number of pixels
            in each basis direction is calculated from this total and the image
            aspect ratio.
        basis : {'xy', 'xz', 'yz'}
            The basis directions for the plot
        color_by : {'cell', 'material'}
            Indicate whether the plot should be colored by cell or by material
        colors : dict
            Assigns colors to specific materials or cells. Keys are instances of
            :class:`Cell` or :class:`Material` and values are RGB 3-tuples, RGBA
            4-tuples, or strings indicating SVG color names. Red, green, blue,
            and alpha should all be floats in the range [0.0, 1.0], for example:

            .. code-block:: python

               # Make water blue
               water = openmc.Cell(fill=h2o)
               water.plot(colors={water: (0., 0., 1.)})
        seed : int
            Seed for the random number generator
        openmc_exec : str
            Path to OpenMC executable.
        axes : matplotlib.Axes
            Axes to draw to
        legend : bool
            Whether a legend showing material or cell names should be drawn
        legend_kwargs : dict
            Keyword arguments passed to :func:`matplotlib.pyplot.legend`.
        outline : bool
            Whether outlines between color boundaries should be drawn
        axis_units : {'km', 'm', 'cm', 'mm'}
            Units used on the plot axis
        **kwargs
            Keyword arguments passed to :func:`matplotlib.pyplot.imshow`

        Returns
        -------
        matplotlib.axes.Axes
            Axes containing resulting image

        """
        # Create dummy universe but preserve used_ids
        next_id = openmc.Universe.next_id
        u = openmc.Universe(cells=[self])
        openmc.Universe.used_ids.remove(u.id)
        openmc.Universe.next_id = next_id
        return u.plot(*args, **kwargs)

    def create_xml_subelement(self, xml_element, memo=None):
        """Add the cell's xml representation to an incoming xml element

        Parameters
        ----------
        xml_element : lxml.etree._Element
            XML element to be added to

        memo : set or None
            A set of object IDs representing geometry entities already
            written to ``xml_element``. This parameter is used internally
            and should not be specified by users.

        Returns
        -------
        None

        """
        element = ET.Element("cell")
        element.set("id", str(self.id))

        if len(self._name) > 0:
            element.set("name", str(self.name))

        if self.fill_type == 'void':
            element.set("material", "void")

        elif self.fill_type == 'material':
            element.set("material", str(self.fill.id))

        elif self.fill_type == 'distribmat':
            element.set("material", ' '.join(['void' if m is None else str(m.id)
                                              for m in self.fill]))

        elif self.fill_type in ('universe', 'lattice'):
            element.set("fill", str(self.fill.id))
            self.fill.create_xml_subelement(xml_element, memo)

        if self.region is not None:
            # Set the region attribute with the region specification
            region = str(self.region)
            if region.startswith('('):
                region = region[1:-1]
            if len(region) > 0:
                element.set("region", region)

            # Only surfaces that appear in a region are added to the geometry
            # file, so the appropriate check is performed here. First we create
            # a function which is called recursively to navigate through the CSG
            # tree. When it reaches a leaf (a Halfspace), it creates a <surface>
            # element for the corresponding surface if none has been created
            # thus far.
            def create_surface_elements(node, element, memo=None):
                if isinstance(node, Halfspace):
                    if memo is None:
                        memo = set()
                    elif node.surface in memo:
                        return
                    memo.add(node.surface)
                    xml_element.append(node.surface.to_xml_element())

                elif isinstance(node, Complement):
                    create_surface_elements(node.node, element, memo)
                else:
                    for subnode in node:
                        create_surface_elements(subnode, element, memo)

            # Call the recursive function from the top node
            create_surface_elements(self.region, xml_element, memo)

        if self.temperature is not None:
            if isinstance(self.temperature, Iterable):
                element.set("temperature", ' '.join(
                    str(t) for t in self.temperature))
            else:
                element.set("temperature", str(self.temperature))

        if self.translation is not None:
            element.set("translation", ' '.join(map(str, self.translation)))

        if self.rotation is not None:
            element.set("rotation", ' '.join(map(str, self.rotation.ravel())))

        if self.volume is not None:
            element.set("volume", str(self.volume))

        return element

    @classmethod
    def from_xml_element(cls, elem, surfaces, materials, get_universe):
        """Generate cell from XML element

        Parameters
        ----------
        elem : lxml.etree._Element
            `<cell>` element
        surfaces : dict
            Dictionary mapping surface IDs to :class:`openmc.Surface` instances
        materials : dict
            Dictionary mapping material ID strings to :class:`openmc.Material`
            instances (defined in :meth:`openmc.Geometry.from_xml`)
        get_universe : function
            Function returning universe (defined in
            :meth:`openmc.Geometry.from_xml`)

        Returns
        -------
        openmc.Cell
            Cell instance

        """
        cell_id = int(get_text(elem, 'id'))
        name = get_text(elem, 'name')
        c = cls(cell_id, name)

        # Assign material/distributed materials or fill
        mat_text = get_text(elem, 'material')
        if mat_text is not None:
            mat_ids = mat_text.split()
            if len(mat_ids) > 1:
                c.fill = [materials[i] for i in mat_ids]
            else:
                c.fill = materials[mat_ids[0]]
        else:
            fill_id = int(get_text(elem, 'fill'))
            c.fill = get_universe(fill_id)

        # Assign region
        region = get_text(elem, 'region')
        if region is not None:
            c.region = Region.from_expression(region, surfaces)

        # Check for other attributes
        t = get_text(elem, 'temperature')
        if t is not None:
            if ' ' in t:
                c.temperature = [float(t_i) for t_i in t.split()]
            else:
                c.temperature = float(t)
        v = get_text(elem, 'volume')
        if v is not None:
            c.volume = float(v)
        for key in ('temperature', 'rotation', 'translation'):
            value = get_text(elem, key)
            if value is not None:
                values = [float(x) for x in value.split()]
                if key == 'rotation' and len(values) == 9:
                    values = np.array(values).reshape(3, 3)
                setattr(c, key, values)

        # Add this cell to appropriate universe
        univ_id = int(get_text(elem, 'universe', 0))
        get_universe(univ_id).add_cell(c)
        return c

openmc-dev / openmc / 12776996362

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