__init__.py 2.22 KB
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#! /usr/bin/env python
# graph_tool.py -- a general graph manipulation python module
#
# Copyright (C) 2007 Tiago de Paula Peixoto <tiago@forked.de>
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program 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 General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.

import sys
# RTLD_GLOBAL needs to be set in dlopen() if we want typeinfo and friends to
# work properly across DSO boundaries. See http://gcc.gnu.org/faq.html#dso

# The "except" is because the dl module raises a system error on ia64 and x86_64
# systems because "int" and addresses are different sizes.
try:
    from dl import RTLD_LAZY, RTLD_NOW, RTLD_GLOBAL
except ImportError:
    RTLD_LAZY = 1
    RTLD_NOW = 2
    RTLD_GLOBAL = 256
_orig_dlopen_flags = sys.getdlopenflags()

sys.setdlopenflags(RTLD_LAZY|RTLD_GLOBAL)
import libgraph_tool_generation
sys.setdlopenflags(_orig_dlopen_flags) # reset it to normal case to avoid
                                       # unnecessary symbol collision

from .. core import Graph
import random

__all__ = ["random_graph"]



def random_graph(N, deg_sampler, deg_corr=None, directed=True,
                 parallel=False, self_loops=False,
                 seed=0, verbose=False):
    if seed != 0:
        seed = random.randint(0, sys.maxint)
    g = Graph()
    if deg_corr == None:
        uncorrelated = True
    else:
        uncorrelated = False
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    libgraph_tool_generation.gen_random_graph(g._Graph__graph, N,
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                                              deg_sampler, deg_corr,
                                              uncorrelated, not parallel,
                                              not self_loops, not directed,
                                              seed, verbose)
    g.set_directed(directed)
    return g