/usr/lib/python2.7/dist-packages/ufl/functionspace.py is in python-ufl 2017.2.0.0-2.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 | # -*- coding: utf-8 -*-
"Types for representing function spaces."
# Copyright (C) 2015-2016 Martin Sandve Alnæs
#
# 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 Massimiliano Leoni, 2016
from ufl.utils.py23 import as_native_str
from ufl.utils.py23 import as_native_strings
from ufl.log import error
from ufl.core.ufl_type import attach_operators_from_hash_data
from ufl.domain import join_domains
from ufl.finiteelement import MixedElement
# Export list for ufl.classes
__all_classes__ = as_native_strings([
"AbstractFunctionSpace",
"FunctionSpace",
"MixedFunctionSpace",
"TensorProductFunctionSpace",
])
class AbstractFunctionSpace(object):
def ufl_sub_spaces(self):
raise NotImplementedError("Missing implementation of IFunctionSpace.ufl_sub_spaces in %s." % self.__class__.__name__)
@attach_operators_from_hash_data
class FunctionSpace(AbstractFunctionSpace):
def __init__(self, domain, element):
if domain is None:
# DOLFIN hack
# TODO: Is anything expected from element.cell() in this case?
pass
else:
try:
domain_cell = domain.ufl_cell()
except AttributeError:
error("Expected non-abstract domain for initalization of function space.")
else:
if element.cell() != domain_cell:
error("Non-matching cell of finite element and domain.")
AbstractFunctionSpace.__init__(self)
self._ufl_domain = domain
self._ufl_element = element
def ufl_sub_spaces(self):
"Return ufl sub spaces."
return ()
def ufl_domain(self):
"Return ufl domain."
return self._ufl_domain
def ufl_element(self):
"Return ufl element."
return self._ufl_element
def ufl_domains(self):
"Return ufl domains."
domain = self.ufl_domain()
if domain is None:
return ()
else:
return (domain,)
def _ufl_hash_data_(self):
domain = self.ufl_domain()
element = self.ufl_element()
if domain is None:
ddata = None
else:
ddata = domain._ufl_hash_data_()
if element is None:
edata = None
else:
edata = element._ufl_hash_data_()
return ("FunctionSpace", ddata, edata)
def _ufl_signature_data_(self, renumbering):
domain = self.ufl_domain()
element = self.ufl_element()
if domain is None:
ddata = None
else:
ddata = domain._ufl_signature_data_(renumbering)
if element is None:
edata = None
else:
edata = element._ufl_signature_data_()
return ("FunctionSpace", ddata, edata)
def __repr__(self):
r = "FunctionSpace(%s, %s)" % (repr(self._ufl_domain), repr(self._ufl_element))
return as_native_str(r)
@attach_operators_from_hash_data
class MixedFunctionSpace(AbstractFunctionSpace):
def __init__(self, *function_spaces):
AbstractFunctionSpace.__init__(self)
self._ufl_function_spaces = function_spaces
self._ufl_element = MixedElement(*[fs.ufl_element() for fs in function_spaces])
def ufl_sub_spaces(self):
"Return ufl sub spaces."
return self._ufl_function_spaces
def ufl_element(self):
"Return ufl element."
return self._ufl_element
def ufl_domains(self):
"Return ufl domains."
domainlist = []
for s in self._ufl_function_spaces:
domainlist.extend(s.ufl_domains())
return join_domains(domainlist)
def ufl_domain(self):
"Return ufl domain."
domains = self.ufl_domains()
if len(domains) == 1:
return domains[0]
elif domains:
error("Found multiple domains, cannot return just one.")
else:
return None
def _ufl_hash_data_(self):
return ("MixedFunctionSpace",) + tuple(V._ufl_hash_data_() for V in self.ufl_sub_spaces())
def _ufl_signature_data_(self, renumbering):
return ("MixedFunctionSpace",) + tuple(V._ufl_signature_data_(renumbering) for V in self.ufl_sub_spaces())
def __repr__(self):
r = "MixedFunctionSpace(*%s)" % repr(self._ufl_function_spaces)
return as_native_str(r)
@attach_operators_from_hash_data
class TensorProductFunctionSpace(AbstractFunctionSpace):
def __init__(self, *function_spaces):
AbstractFunctionSpace.__init__(self)
self._ufl_function_spaces = function_spaces
def ufl_sub_spaces(self):
return self._ufl_function_spaces
def _ufl_hash_data_(self):
return ("TensorProductFunctionSpace",) + tuple(V._ufl_hash_data_() for V in self.ufl_sub_spaces())
def _ufl_signature_data_(self, renumbering):
return ("TensorProductFunctionSpace",) + tuple(V._ufl_signature_data_(renumbering) for V in self.ufl_sub_spaces())
def __repr__(self):
r = "TensorProductFunctionSpace(*%s)" % repr(self._ufl_function_spaces)
return as_native_str(r)
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