tgba_explicit instances labelled by other objects than strings. * src/tgba/tgbaexplicit.cc, src/tgba/tgbaexplicit.hh: Split tgba_explicit in two levels: tgba_explicit with unlabelled states, and tgba_explicit_labelled templated by the type of the label. Define tgba_explicit_string (with the interface of the former tgba_explicit class) and tgba_explicit_formula for future use in ltl2tgba.cc. * src/tgba/tgbareduc.cc, src/tgba/tgbareduc.hh, src/tgbaalgos/cutscc.cc, src/tgbaalgos/dupexp.cc, src/tgbaalgos/emptiness.cc, src/tgbaalgos/ltl2tgba_fm.cc, src/tgbaalgos/powerset.cc, src/tgbaalgos/randomgraph.cc, src/tgbaparse/public.hh, src/tgbaparse/tgbaparse.yy, src/tgbatest/explicit.cc, src/tgbatest/ltl2tgba.cc: Adjust to use tgba_explicit_string when appropriate.
214 lines
5.6 KiB
C++
214 lines
5.6 KiB
C++
// Copyright (C) 2004, 2005, 2007, 2008, 2009 Laboratoire d'Informatique de
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// Paris 6 (LIP6), département Systèmes Répartis Coopératifs (SRC),
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// Université Pierre et Marie Curie.
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//
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// This file is part of Spot, a model checking library.
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//
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// Spot is free software; you can redistribute it and/or modify it
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// under the terms of the GNU General Public License as published by
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// the Free Software Foundation; either version 2 of the License, or
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// (at your option) any later version.
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//
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// Spot is distributed in the hope that it will be useful, but WITHOUT
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// ANY WARRANTY; without even the implied warranty of MERCHANTABILITY
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// or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public
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// License for more details.
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//
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// You should have received a copy of the GNU General Public License
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// along with Spot; see the file COPYING. If not, write to the Free
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// Software Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA
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// 02111-1307, USA.
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#include "randomgraph.hh"
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#include "tgba/tgbaexplicit.hh"
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#include "misc/random.hh"
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#include "ltlast/atomic_prop.hh"
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#include <sstream>
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#include <list>
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#include <set>
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#include <iterator>
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#include <vector>
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namespace spot
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{
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namespace
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{
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std::string
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st(int n)
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{
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std::stringstream s;
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s << n;
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return "S" + s.str();
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}
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std::string
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acc(int n)
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{
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std::stringstream s;
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s << n;
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return "a" + s.str();
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}
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void
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random_labels(tgba_explicit* aut,
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tgba_explicit::state* src, const tgba_explicit::state* dest,
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int* props, int props_n, float t,
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const std::list<bdd>& accs, float a)
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{
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int val = 0;
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int size = 0;
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bdd p = bddtrue;
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while (props_n)
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{
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if (size == 8 * sizeof(int))
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{
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p &= bdd_ibuildcube(val, size, props);
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props += size;
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val = 0;
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size = 0;
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}
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val <<= 1;
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val |= (drand() < t);
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++size;
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--props_n;
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}
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if (size > 0)
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p &= bdd_ibuildcube(val, size, props);
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bdd ac = bddfalse;
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for (std::list<bdd>::const_iterator i = accs.begin();
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i != accs.end(); ++i)
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if (drand() < a)
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ac |= *i;
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tgba_explicit::transition* u = aut->create_transition(src, dest);
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aut->add_conditions(u, p);
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aut->add_acceptance_conditions(u, ac);
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}
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}
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tgba*
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random_graph(int n, float d,
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const ltl::atomic_prop_set* ap, bdd_dict* dict,
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int n_acc, float a, float t,
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ltl::environment* env)
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{
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assert(n > 0);
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tgba_explicit_string* res = new tgba_explicit_string(dict);
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int props_n = ap->size();
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int* props = new int[props_n];
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int pi = 0;
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for (ltl::atomic_prop_set::const_iterator i = ap->begin();
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i != ap->end(); ++i)
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props[pi++] = dict->register_proposition(*i, res);
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std::vector<tgba_explicit::state*> states(n);
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std::list<bdd> accs;
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bdd allneg = bddtrue;
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for (int i = 0; i < n_acc; ++i)
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{
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ltl::formula* f = env->require(acc(i));
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int v = dict->register_acceptance_variable(f, res);
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res->declare_acceptance_condition(f);
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allneg &= bdd_nithvar(v);
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bdd b = bdd_ithvar(v);
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accs.push_back(b);
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}
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for (std::list<bdd>::iterator i = accs.begin(); i != accs.end(); ++i)
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*i &= bdd_exist(allneg, *i);
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// Using Sgi::hash_set instead of std::set for these sets is 3
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// times slower (tested on a 50000 nodes example). Use an int
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// (the index into states[]), not the tgba_explicit::state*
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// directly, because the later would yield different graph
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// depending on the memory layout.
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typedef std::set<tgba_explicit::state*> node_set;
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node_set nodes_to_process;
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node_set unreachable_nodes;
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{
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tgba_explicit::state* init = res->add_state(st(0));
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states[0] = init;
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nodes_to_process.insert(init);
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}
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for (int i = 1; i < n; ++i)
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{
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tgba_explicit::state* s = res->add_state(st(i));
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states[i] = s;
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unreachable_nodes.insert(s);
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}
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// We want to connect each node to a number of successors between
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// 1 and n (with probability d). This follow
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barand<nrand> bin(n - 1, d);
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while (!nodes_to_process.empty())
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{
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tgba_explicit::state* src = *nodes_to_process.begin();
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nodes_to_process.erase(nodes_to_process.begin());
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// Choose a random number of successors (at least one), using
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// a binomial distribution.
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int nsucc = 1 + bin.rand();
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// Connect to NSUCC randomly chosen successors. We want at
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// least one unreachable successors among these if there are
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// some.
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bool saw_unreachable = false;
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int possibilities = n;
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while (nsucc--)
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{
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if (nsucc == 0
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&& !saw_unreachable
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&& !unreachable_nodes.empty())
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{
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// Pick a random unreachable node.
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int index = mrand(unreachable_nodes.size());
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node_set::const_iterator i = unreachable_nodes.begin();
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std::advance(i, index);
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// Link it from src.
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random_labels(res, src, *i, props, props_n, t, accs, a);
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nodes_to_process.insert(*i);
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unreachable_nodes.erase(i);
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break;
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}
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else
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{
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// Pick a random node.
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int index = mrand(possibilities--);
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tgba_explicit::state* dest = states[index];
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// Permute the state with states[possibilities], so we
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// cannot pick it again.
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states[index] = states[possibilities];
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states[possibilities] = dest;
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random_labels(res, src, dest, props, props_n, t, accs, a);
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node_set::iterator j = unreachable_nodes.find(dest);
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if (j != unreachable_nodes.end())
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{
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nodes_to_process.insert(dest);
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unreachable_nodes.erase(j);
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saw_unreachable = true;
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}
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}
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}
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// The node must have at least one successor.
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assert(!src->empty());
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}
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// All nodes must be reachable.
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assert(unreachable_nodes.empty());
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delete[] props;
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return res;
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}
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}
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