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# Copyright (c) 2007-2009 Pedro Matiello <pmatiello@gmail.com>
#
# Permission is hereby granted, free of charge, to any person
# obtaining a copy of this software and associated documentation
# files (the "Software"), to deal in the Software without
# restriction, including without limitation the rights to use,
# copy, modify, merge, publish, distribute, sublicense, and/or sell
# copies of the Software, and to permit persons to whom the
# Software is furnished to do so, subject to the following
# conditions:
# The above copyright notice and this permission notice shall be
# included in all copies or substantial portions of the Software.
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES
# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
# NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT
# HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY,
# WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
# FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR
# OTHER DEALINGS IN THE SOFTWARE.
"""
Helper functions for unit-tests.
"""
# Imports
from pygraph.algorithms.generators import generate, generate_hypergraph
from random import seed
from time import time
from sys import argv
# Configuration
random_seed = int(time())
num_nodes = { 'small': 10,
'medium': 25,
'sparse': 40
}
num_edges = { 'small': 18,
'medium': 120,
'sparse': 200
}
sizes = ['small', 'medium', 'sparse']
use_size = 'medium'
# Init
try:
if (argv[0] != 'testrunner.py'):
print
print ("Random seed: %s" % random_seed)
except:
pass
def new_graph(wt_range=(1, 1)):
seed(random_seed)
return generate(num_nodes[use_size], num_edges[use_size], directed=False, weight_range=wt_range)
def new_digraph(wt_range=(1, 1)):
seed(random_seed)
return generate(num_nodes[use_size], num_edges[use_size], directed=True, weight_range=wt_range)
def new_hypergraph():
seed(random_seed)
return generate_hypergraph(num_nodes[use_size], num_edges[use_size])
def new_uniform_hypergraph(_r):
seed(random_seed)
return generate_hypergraph(num_nodes[use_size], num_edges[use_size], r = _r)
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