This file is indexed.

/usr/lib/python3/dist-packages/ufl/functionspace.py is in python3-ufl 2016.2.0-2.

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
# -*- 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):
        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)