python-ufl 1.4.0-1 / usr / lib / python2.7 / dist-packages / ufl / finiteelement / mixedelement.py

"This module defines the UFL finite element classes."

# Copyright (C) 2008-2014 Martin Sandve Alnes
#
# This file is part of UFL.
#
# UFL is free software: you can redistribute it and/or modify
# it under the terms of the GNU Lesser General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# UFL is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU Lesser General Public License for more details.
#
# You should have received a copy of the GNU Lesser General Public License
# along with UFL. If not, see <http://www.gnu.org/licenses/>.
#
# Modified by Kristian B. Oelgaard
# Modified by Marie E. Rognes 2010, 2012
# Modified by Anders Logg 2014
#
# First added:  2008-03-03
# Last changed: 2014-02-24

from itertools import izip, chain
from ufl.assertions import ufl_assert
from ufl.permutation import compute_indices
from ufl.common import product, index_to_component, component_to_index, istr, EmptyDict
from ufl.geometry import as_domain
from ufl.log import info_blue, warning, warning_blue, error

from ufl.finiteelement.finiteelementbase import FiniteElementBase
from ufl.finiteelement.finiteelement import FiniteElement


class MixedElement(FiniteElementBase):
    "A finite element composed of a nested hierarchy of mixed or simple elements"
    __slots__ = ("_sub_elements", "_domains")

    def __init__(self, *elements, **kwargs):
        "Create mixed finite element from given list of elements"

        # Un-nest arguments if we get a single argument with a list of elements
        if len(elements) == 1 and isinstance(elements[0], (tuple, list)):
            elements = elements[0]
        # Interpret nested tuples as sub-mixedelements recursively
        elements = [MixedElement(e) if isinstance(e, (tuple,list)) else e
                    for e in elements]
        self._sub_elements = elements

        # Pick the first domain, for now all should be equal
        domains = tuple(sorted(set(chain(*[element.domains() for element in elements]))))
        self._domains = domains
        if domains:
            # Base class currently only handles one domain, this is work in progress
            domain = domains[0]

            # Check that domains have same geometric dimension
            gdim = domain.geometric_dimension()
            ufl_assert(all(dom.geometric_dimension() == gdim for dom in domains),
                       "Sub elements must live in the same geometric dimension.")
            # Require that all elements are defined on the same domain
            # TODO: allow mixed elements on different domains,
            #       or add a CompositeMixedElement class for that
            ufl_assert(all(dom == domain for dom in domains),
                       "Sub elements must live on the same domain (for now).")
        else:
            domain = None

        # Check that all elements use the same quadrature scheme
        # TODO: We can allow the scheme not to be defined.
        quad_scheme = elements[0].quadrature_scheme()
        ufl_assert(all(e.quadrature_scheme() == quad_scheme for e in elements),\
            "Quadrature scheme mismatch for sub elements of mixed element.")

        # Compute value shape
        value_size_sum = sum(product(s.value_shape()) for s in self._sub_elements)
        # Default value dimension: Treated simply as all subelement
        #                          values unpacked in a vector.
        value_shape = kwargs.get('value_shape', (value_size_sum,))
        # Validate value_shape
        if type(self) is MixedElement:
            # This is not valid for tensor elements with symmetries,
            # assume subclasses deal with their own validation
            ufl_assert(product(value_shape) == value_size_sum,
                "Provided value_shape doesn't match the total "\
                "value size of all subelements.")

        # Initialize element data
        degree = max(e.degree() for e in self._sub_elements)
        super(MixedElement, self).__init__("Mixed", domain, degree,
                                           quad_scheme, value_shape)

        # Cache repr string
        self._repr = "MixedElement(*%r, **{'value_shape': %r })" %\
            (self._sub_elements, self._value_shape)

    def reconstruction_signature(self):
        """Format as string for evaluation as Python object.

        For use with cross language frameworks, stored in generated code
        and evaluated later in Python to reconstruct this object.

        This differs from repr in that it does not include domain
        label and data, which must be reconstructed or supplied by other means.
        """
        return "MixedElement(%s, **{'value_shape': %r })" % \
            (', '.join(e.reconstruction_signature() for e in self._sub_elements), self._value_shape)

    def reconstruct(self, **kwargs):
        """Construct a new MixedElement object with some
        properties replaced with new values."""
        elements = [e.reconstruct(**kwargs) for e in self._sub_elements]
        # Value shape cannot be changed, or at
        # least we have no valid use case for it.
        # Reconstructing an expression with a reconstructed
        # coefficient with a different value shape would
        # be way into undefined behaviour territory...
        ufl_assert("value_shape" not in kwargs,
                   "Cannot change value_shape in reconstruct.")
        return self.reconstruct_from_elements(*elements)

    def reconstruct_from_elements(self, *elements):
        "Reconstruct a mixed element from new subelements."
        if all(a == b for (a,b) in izip(elements, self._sub_elements)):
            return self
        ufl_assert(all(a.value_shape() == b.value_shape()
                       for (a,b) in izip(elements, self._sub_elements)),
            "Expecting new elements to have same value shape as old ones.")
        return MixedElement(*elements, value_shape=self.value_shape())

    def symmetry(self):
        """Return the symmetry dict, which is a mapping c0 -> c1
        meaning that component c0 is represented by component c1.
        A component is a tuple of one or more ints."""
        # Build symmetry map from symmetries of subelements
        sm = {}
        # Base index of the current subelement into mixed value
        j = 0
        for e in self._sub_elements:
            sh = e.value_shape()
            # Map symmetries of subelement into index space of this element
            for c0, c1 in e.symmetry().iteritems():
                j0 = component_to_index(c0, sh) + j
                j1 = component_to_index(c1, sh) + j
                sm[(j0,)] = (j1,)
            # Update base index for next element
            j += product(sh)
        ufl_assert(j == product(self.value_shape()),
                   "Size mismatch in symmetry algorithm.")
        return sm or EmptyDict

    def num_sub_elements(self):
        "Return number of sub elements."
        return len(self._sub_elements)

    def sub_elements(self):
        "Return list of sub elements."
        return self._sub_elements

    def num_mixed_sub_elements(self):
        "Return number of mixed sub elements."
        # FIXME: Use this where intended, for disambiguation
        #        w.r.t. different sub_elements meanings.
        return len(self._sub_elements)

    def mixed_sub_elements(self):
        "Return list of mixed sub elements."
        # FIXME: Use this where intended, for disambiguation
        #        w.r.t. different sub_elements meanings.
        return self._sub_elements

    def extract_subelement_component(self, i):
        """Extract direct subelement index and subelement relative
        component index for a given component index"""
        if isinstance(i, int):
            i = (i,)
        self._check_component(i)

        # Select between indexing modes
        if len(self.value_shape()) == 1:
            # Indexing into a long vector of flattened subelement shapes
            j, = i

            # Find subelement for this index
            for k, e in enumerate(self._sub_elements):
                sh = e.value_shape()
                si = product(sh)
                if j < si:
                    break
                j -= si
            ufl_assert(j >= 0, "Moved past last value component!")

            # Convert index into a shape tuple
            j = index_to_component(j, sh)
        else:
            # Indexing into a multidimensional tensor
            # where subelement index is first axis
            k = i[0]
            ufl_assert(k < len(self._sub_elements),
                       "Illegal component index (dimension %d)." % k)
            j = i[1:]
        return (k, j)

    def extract_component(self, i):
        """Recursively extract component index relative to a (simple) element
        and that element for given value component index"""
        k, j = self.extract_subelement_component(i)
        return self._sub_elements[k].extract_component(j)

    def is_cellwise_constant(self, component=None):
        """Return whether the basis functions of this
        element is spatially constant over each cell."""
        if component is None:
            return all(e.is_cellwise_constant() for e in self.sub_elements())
        else:
            i, e = self.extract_component(component)
            return e.is_cellwise_constant()

    def domains(self, component=None):
        "Return the domain(s) on which this element is defined."
        if component is None:
            # Return all unique domains
            return self._domains
        else:
            # Return the domains of subelement
            i, e = self.extract_component(component)
            return e.domains()

    def degree(self, component=None):
        "Return polynomial degree of finite element"
        if component is None:
            return self._degree # from FiniteElementBase, computed as max of subelements in __init__
        else:
            i, e = self.extract_component(component)
            return e.degree()

    def signature_data(self, domain_numbering):
        data = ("MixedElement", self._value_shape, tuple(e.signature_data(domain_numbering=domain_numbering) for e in self._sub_elements))
        return data

    def __str__(self):
        "Format as string for pretty printing."
        tmp = ", ".join(str(element) for element in self._sub_elements)
        return "<Mixed element: (" + tmp + ")>"

    def shortstr(self):
        "Format as string for pretty printing."
        tmp = ", ".join(element.shortstr() for element in self._sub_elements)
        return "Mixed<" + tmp + ">"


class VectorElement(MixedElement):
    "A special case of a mixed finite element where all elements are equal"

    def __init__(self, family, domain, degree, dim=None,
                 form_degree=None, quad_scheme=None):
        """
        Create vector element (repeated mixed element)

        *Arguments*
            family (string)
               The finite element family
            domain
               The geometric domain
            degree (int)
               The polynomial degree
            dim (int)
               The value dimension of the element (optional)
            form_degree (int)
               The form degree (FEEC notation, used when field is
               viewed as k-form)
            quad_scheme
               The quadrature scheme (optional)
        """
        if domain is not None:
            domain = as_domain(domain)

        # Set default size if not specified
        if dim is None:
            ufl_assert(domain is not None,
                       "Cannot infer vector dimension without a domain.")
            dim = domain.geometric_dimension()

        # Create mixed element from list of finite elements
        sub_element = FiniteElement(family, domain, degree,
                                    form_degree=form_degree,
                                    quad_scheme=quad_scheme)
        sub_elements = [sub_element]*dim

        # Get common family name (checked in FiniteElement.__init__)
        family = sub_element.family()

        # Compute value shape
        shape = (dim,)
        value_shape = shape + sub_element.value_shape()

        # Initialize element data
        super(VectorElement, self).__init__(sub_elements, value_shape=value_shape)
        self._family = family
        self._degree = degree
        self._sub_element = sub_element
        self._form_degree = form_degree # Storing for signature_data, not sure if it's needed

        # Cache repr string
        self._repr = "VectorElement(%r, %r, %r, dim=%d, quad_scheme=%r)" % \
            (self._family, self.domain(), self._degree,
             len(self._sub_elements), self._quad_scheme)

    def signature_data(self, domain_numbering):
        data = ("VectorElement", self._family, self._degree, len(self._sub_elements), self._quad_scheme, self._form_degree,
                ("no domain" if self._domain is None else self._domain.signature_data(domain_numbering=domain_numbering)))
        return data

    def reconstruction_signature(self):
        """Format as string for evaluation as Python object.

        For use with cross language frameworks, stored in generated code
        and evaluated later in Python to reconstruct this object.

        This differs from repr in that it does not include domain
        label and data, which must be reconstructed or supplied by other means.
        """
        return "VectorElement(%r, %s, %r, %d, %r)" % (
                self._family, self.domain().reconstruction_signature(), self._degree,
                len(self._sub_elements), self._quad_scheme)

    def reconstruct(self, **kwargs):
        kwargs["family"] = kwargs.get("family", self.family())
        kwargs["domain"] = kwargs.get("domain", self.domain())
        kwargs["degree"] = kwargs.get("degree", self.degree())
        ufl_assert("dim" not in kwargs, "Cannot change dim in reconstruct.")
        kwargs["dim"] = len(self._sub_elements)
        kwargs["quad_scheme"] = kwargs.get("quad_scheme", self.quadrature_scheme())
        return VectorElement(**kwargs)

    def __str__(self):
        "Format as string for pretty printing."
        return "<%s vector element of degree %s on a %s: %d x %s>" % \
               (self.family(), istr(self.degree()), self.domain(),
                len(self._sub_elements), self._sub_element)

    def shortstr(self):
        "Format as string for pretty printing."
        return "Vector<%d x %s>" % (len(self._sub_elements),
                                    self._sub_element.shortstr())

class TensorElement(MixedElement):
    "A special case of a mixed finite element where all elements are equal"
    __slots__ = ("_sub_element", "_shape", "_symmetry", "_sub_element_mapping",)
    def __init__(self, family, domain, degree, shape=None,
                 symmetry=None, quad_scheme=None):
        "Create tensor element (repeated mixed element with optional symmetries)"
        if domain is not None:
            domain = as_domain(domain)

        # Set default shape if not specified
        if shape is None:
            ufl_assert(domain is not None,
                       "Cannot infer vector dimension without a domain.")
            dim = domain.geometric_dimension()
            shape = (dim, dim)

        # Construct default symmetry for matrix elements
        if symmetry == True:
            ufl_assert(len(shape) == 2 and shape[0] == shape[1],
                       "Cannot set automatic symmetry for non-square tensor.")
            symmetry = dict( ((i,j), (j,i)) for i in range(shape[0])
                             for j in range(shape[1]) if i > j )

        # Validate indices in symmetry dict
        if isinstance(symmetry, dict):
            for i,j in symmetry.iteritems():
                ufl_assert(len(i) == len(j),
                           "Non-matching length of symmetry index tuples.")
                for k in range(len(i)):
                    ufl_assert(i[k] >= 0 and j[k] >= 0 and
                               i[k] < shape[k] and j[k] < shape[k],
                               "Symmetry dimensions out of bounds.")
        else:
            ufl_assert(symmetry is None, "Expecting symmetry to be None, True, or dict.")

        # Compute all index combinations for given shape
        indices = compute_indices(shape)

        # Compute sub elements and mapping from indices
        # to sub elements, accounting for symmetry
        sub_element = FiniteElement(family, domain, degree, quad_scheme)
        sub_elements = []
        sub_element_mapping = {}
        for index in indices:
            if symmetry and index in symmetry:
                continue
            sub_element_mapping[index] = len(sub_elements)
            sub_elements += [sub_element]

        # Update mapping for symmetry
        for index in indices:
            if symmetry and index in symmetry:
                sub_element_mapping[index] = sub_element_mapping[symmetry[index]]

        # Get common family name (checked in FiniteElement.__init__)
        family = sub_element.family()

        # Compute value shape
        value_shape = shape + sub_element.value_shape()

        # Initialize element data
        super(TensorElement, self).__init__(sub_elements, value_shape=value_shape)
        self._family = family
        self._degree = degree
        self._sub_element = sub_element
        self._shape = shape
        self._symmetry = symmetry
        self._sub_element_mapping = sub_element_mapping

        # Cache repr string
        self._repr = "TensorElement(%r, %r, %r, shape=%r, symmetry=%r, quad_scheme=%r)" % \
            (self._family, self.domain(), self._degree, self._shape,
             self._symmetry, self._quad_scheme)

    def signature_data(self, domain_numbering):
        data = ("TensorElement", self._family, self._degree, self._shape, repr(self._symmetry), self._quad_scheme,
                ("no domain" if self._domain is None else self._domain.signature_data(domain_numbering=domain_numbering)))
        return data

    def reconstruction_signature(self):
        """Format as string for evaluation as Python object.

        For use with cross language frameworks, stored in generated code
        and evaluated later in Python to reconstruct this object.

        This differs from repr in that it does not include domain
        label and data, which must be reconstructed or supplied by other means.
        """
        return "TensorElement(%r, %s, %r, %r, %r, %r)" % (
            self._family, self.domain().reconstruction_signature(), self._degree,
            self._shape, self._symmetry, self._quad_scheme)

    def reconstruct(self, **kwargs):
        kwargs["family"] = kwargs.get("family", self.family())
        kwargs["domain"] = kwargs.get("domain", self.domain())
        kwargs["degree"] = kwargs.get("degree", self.degree())

        ufl_assert("shape" not in kwargs, "Cannot change shape in reconstruct.")
        kwargs["shape"] = self.value_shape() # Must use same shape as self!

        # Not sure about symmetry, but no use case I can see
        ufl_assert("symmetry" not in kwargs, "Cannot change symmetry in reconstruct.")
        kwargs["symmetry"] = self.symmetry()

        kwargs["quad_scheme"] = kwargs.get("quad_scheme", self.quadrature_scheme())
        return TensorElement(**kwargs)

    def extract_subelement_component(self, i):
        """Extract direct subelement index and subelement relative
        component index for a given component index"""
        if isinstance(i, int):
            i = (i,)
        self._check_component(i)

        i = self.symmetry().get(i, i)
        l = len(self._shape)
        ii = i[:l]
        jj = i[l:]
        ufl_assert(ii in self._sub_element_mapping,
                   "Illegal component index %s." % repr(i))
        k = self._sub_element_mapping[ii]
        return (k, jj)

    def symmetry(self):
        """Return the symmetry dict, which is a mapping c0 -> c1
        meaning that component c0 is represented by component c1."""
        return self._symmetry or EmptyDict

    def __str__(self):
        "Format as string for pretty printing."
        sym = ""
        if isinstance(self._symmetry, dict):
            tmp = ", ".join("%s -> %s" % (a,b) for (a,b) in self._symmetry.iteritems())
            sym = " with symmetries (%s)" % tmp
        elif self._symmetry:
            sym = " with symmetry"
        return "<%s tensor element of degree %s and shape %s on a %s%s>" % \
            (self.family(), istr(self.degree()), self.value_shape(), self.domain(), sym)

    def shortstr(self):
        "Format as string for pretty printing."
        sym = ""
        if isinstance(self._symmetry, dict):
            tmp = ", ".join("%s -> %s" % (a,b) for (a,b) in self._symmetry.iteritems())
            sym = " with symmetries (%s)" % tmp
        elif self._symmetry:
            sym = " with symmetry"
        return "Tensor<%s x %s%s>" % (self.value_shape(),
                                      self._sub_element.shortstr(), sym)