Source code for ufl_legacy.split_functions

# -*- coding: utf-8 -*-
"Algorithm for splitting a Coefficient or Argument into subfunctions."

# Copyright (C) 2008-2016 Martin Sandve Alnæs
#
# This file is part of UFL (https://www.fenicsproject.org)
#
# SPDX-License-Identifier:    LGPL-3.0-or-later
#
# Modified by Anders Logg, 2008

from ufl_legacy.log import error
from ufl_legacy.utils.sequences import product
from ufl_legacy.finiteelement import MixedElement, TensorElement
from ufl_legacy.tensors import as_vector, as_matrix, ListTensor
from ufl_legacy.indexed import Indexed
from ufl_legacy.permutation import compute_indices
from ufl_legacy.utils.indexflattening import flatten_multiindex, shape_to_strides


def split(v):
    """UFL operator: If v is a Coefficient or Argument in a mixed space, returns
    a tuple with the function components corresponding to the subelements."""

    # Default range is all of v
    begin = 0
    end = None

    if isinstance(v, Indexed):
        # Special case: split previous output of split again
        # Consistent with simple element, just return function in a tuple
        return (v,)

    elif isinstance(v, ListTensor):
        # Special case: split previous output of split again
        ops = v.ufl_operands
        if all(isinstance(comp, Indexed) for comp in ops):
            args = [comp.ufl_operands[0] for comp in ops]
            if all(args[0] == args[i] for i in range(1, len(args))):
                # Get innermost terminal here and its element
                v = args[0]
                # Get relevant range of v components
                begin, = ops[0].ufl_operands[1]
                end, = ops[-1].ufl_operands[1]
                begin = int(begin)
                end = int(end) + 1
            else:
                error("Don't know how to split %s." % (v,))
        else:
            error("Don't know how to split %s." % (v,))

    # Special case: simple element, just return function in a tuple
    element = v.ufl_element()
    if not isinstance(element, MixedElement):
        assert end is None
        return (v,)

    if isinstance(element, TensorElement):
        if element.symmetry():
            error("Split not implemented for symmetric tensor elements.")

    if len(v.ufl_shape) != 1:
        error("Don't know how to split tensor valued mixed functions without flattened index space.")

    # Compute value size and set default range end
    value_size = product(element.value_shape())
    if end is None:
        end = value_size
    else:
        # Recursively dive into mixedelement in to subelement
        # corresponding to beginning of range
        j = begin
        while True:
            sub_i, j = element.extract_subelement_component(j)
            element = element.sub_elements()[sub_i]
            # Then break when we find the subelement that covers the whole range
            if product(element.value_shape()) == (end - begin):
                break

    # Build expressions representing the subfunction of v for each subelement
    offset = begin
    sub_functions = []
    for i, e in enumerate(element.sub_elements()):
        # Get shape, size, indices, and v components
        # corresponding to subelement value
        shape = e.value_shape()
        strides = shape_to_strides(shape)
        rank = len(shape)
        sub_size = product(shape)
        subindices = [flatten_multiindex(c, strides)
                      for c in compute_indices(shape)]
        components = [v[k + offset] for k in subindices]

        # Shape components into same shape as subelement
        if rank == 0:
            subv, = components
        elif rank <= 1:
            subv = as_vector(components)
        elif rank == 2:
            subv = as_matrix([components[i * shape[1]: (i + 1) * shape[1]]
                              for i in range(shape[0])])
        else:
            error("Don't know how to split functions with sub functions of rank %d." % rank)

        offset += sub_size
        sub_functions.append(subv)

    if end != offset:
        error("Function splitting failed to extract components for whole intended range. Something is wrong.")

    return tuple(sub_functions)